Data Security

Data Security Developer Jobs

185 jobs found

1d ago

Data Engineer

SAIC Washington, DC

Washington, DC

1d ago

$140k - $180k/yr Full time Azure Azure Data Factory Azure Data Platform

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Job Description

SAIC is seeking a hands-on Data Engineer to build and maintain reliable, scalable data pipelines and datasets. This hybrid role in Washington, DC focuses on ingestion, transformation, and data product delivery across Azure data services, with an emphasis on governance, security, and performance.

Responsibilities

Design, develop, schedule, and monitor batch and near real-time data pipelines in Azure Data Factory (ADF) for ingestion, transformation, and load (ELT/ETL).
Implement and manage data storage strategies in Azure Blob Storage, including access tiers, lifecycle policies, partitioning, and folder design.
Design, manage, and optimize datasets in Azure SQL (Database/Managed Instance), covering schema design, indexing, and performance tuning.
Create and maintain dimensional models using star/snowflake patterns, applying 3NF, normalization/denormalization, and Data Vault 2.0 where appropriate.
Implement data quality and governance capabilities, including validation rules, profiling, lineage, documentation, and standards for schema evolution and data contracts.
Optimize pipeline runtime, SQL queries, and storage I/O; implement alerting, retry logic, and cost controls to support performance and reliability.
Collaborate with analytics, product, and operations teams to deliver robust, well-documented datasets and data products.
Apply security and compliance best practices, including RBAC, data masking, encryption at rest and in transit, and key management aligned with company policies.
Contribute to reusable templates and best practices to improve consistency and delivery speed across the data platform.

Requirements

BS plus 5 years experience (or 4 years experience in lieu of degree).
Ability to obtain and maintain a public trust requiring U.S. Citizenship.
Hands-on experience with Azure Data Factory (ADF), including pipelines, data flows, linked services, triggers, and parameterization.
Strong experience with Azure Blob Storage, including containers, access tiers, lifecycle management, and SAS/Managed Identities.
Strong experience with Azure SQL (Database/Managed Instance), including schema design, performance tuning, indexing, and query optimization.
Practical experience with star and snowflake schemas, 3NF, and Data Vault concepts.
Understanding of Kimball vs. Inmon data warehousing approaches.
Proficiency with JSON, Parquet, CSV, Avro, including handling schema evolution and versioning for these formats.
Strong SQL skills for complex querying and transformations.
Scripting experience in Python (preferred) or Scala for transformations, utilities, and automation.
Experience with Git-based workflows.
Experience integrating data pipelines with Azure DevOps (Repos, Pipelines) or equivalent CI/CD tools.
Proven production experience with monitoring, logging, alerting, and troubleshooting for data pipelines.

Technologies

Azure, Azure Data Factory (ADF), Azure Blob Storage, Azure SQL
Azure Synapse Analytics, Microsoft Fabric, Power BI
Azure Synapse Analytics serverless and/or dedicated SQL pools
Spark notebooks, Microsoft Fabric Lakehouse, OneLake
Power BI semantic models, DAX, Azure Functions, Databricks
Spark Structured Streaming, Event Hubs
Bicep, Terraform, ARM templates
Microsoft Purview
Python, Scala, JSON, Parquet, CSV, Avro
RBAC, SAS, Managed Identities
Azure DevOps (Repos, Pipelines), CI/CD, Git
Power BI incremental refresh, DAX calculation groups

Desired

Experience with Azure Synapse Analytics: serverless and/or dedicated SQL pools, data warehouse patterns, and Spark notebooks for large-scale ELT/ETL.
Familiarity with Microsoft Fabric: Lakehouse, OneLake, notebooks, data pipelines, and workspace governance.
Experience building Power BI semantic models (datasets), incremental refresh, relationships, calculation groups, and DAX for data product delivery.
Experience with Event Hubs, Azure Functions, or Databricks/Spark Structured Streaming for real-time or near real-time ingestion.
Experience using Bicep or Terraform to provision and manage Azure resources, including familiarity with ARM templates.
Experience with Microsoft Purview or similar tools for data cataloging, lineage, and metadata management.

Job Details

Job ID: 2617790
Location: Washington, DC, US
Posting date: 2026-10-09
Category: Information Technology
Subcategory: Big Data Engineer
Schedule: Full-Time
Shift: Day Job
Travel: No
Potential for remote work: ORA_HYBRID
Minimum clearance required: None
Clearance level must be able to obtain: Public Trust

Compensation

USD 140,001 - 180,000 per year. The estimate displayed represents the typical salary range for this position based on experience and other factors.

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1d ago

Software Engineer – Junior Level for Cross Domain Solutions

General Dynamics Mission Systems, Inc Taunton, MA

Taunton, MA

1d ago

$90k - $99k/yr Full time Backend Developer Data Processing Data Security

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Job Description

This junior-level Software Engineer role supports a cross-functional team delivering Crypto and Cross Domain Solutions within the Space, Embedded, and Intelligence business area. The position is based in Taunton, MA and involves applying software engineering practices and agile methodology to real-world defense-focused technology development.

Role Overview

As a member of a cross functional team, you will contribute to the design and development of Crypto and Cross Domain Solutions for the Space, Embedded, and Intelligence business area. The work emphasizes practical application of software engineering concepts, agile methods, and continuous learning while building capability across increasing responsibility and complexity.

Responsibilities

Participate in designing and developing Crypto and Cross Domain Solutions for the Space, Embedded, and Intelligence business area as part of a cross functional team.
Apply knowledge of software engineering concepts, principles, theories, and the software development process, including agile methodology.
Demonstrate understanding of the software development process with agile experience.
Learn new information quickly and take on increasing responsibilities as technical complexity grows.
Collaborate effectively in a team-oriented environment and contribute to team success.
Commit to ongoing professional development for yourself and others.
Identify opportunities to apply AI for continuous improvement and innovation.
Support Linux application development and related security and systems engineering activities.
Leverage experience with SELinux and Embedded Linux technologies including VxWorks, RTOS, CDS, ESXi, or YOCTOL.
Work with Git and GitLab for source control.
Use relevant programming languages, including C/C++, C#, Java, Python, or Rust, as needed for assigned tasks.
Apply BASH, sed, and awk in development workflows.
Handle XML processing including XPath and XSD Schemas (Alpha only as listed).
Use object-oriented programming, with emphasis on Java and Java EE.
Apply JavaScript, including React, where applicable.
Work with SQL, with emphasis on PostgreSQL, when required.
Operate effectively in a team oriented, personally driven, fast-paced environment.

Required Qualifications

Bachelor’s degree in Software Engineering, Engineering, Science, or Math, plus 1 year of relevant experience; or a Master’s degree.
Ability to obtain a Department of Defense Secret security clearance required at time of hire.
Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.
Due to the nature of work performed within the facilities, U.S. citizenship is required.
Minimum experience level listed: 1 years.

Technologies

Relevant technologies include C/C++, C#, Java, Python, Rust, Linux, SELinux, VxWorks, RTOS, CDS, ESXi, YOCTOL, Git, GitLab, BASH, sed, awk, XML, XPath, XSD Schemas, Java EE, JavaScript, React, SQL, and PostgreSQL.

Workplace Location

The role is fully on-site in Taunton, MA with some flexibility to be Hybrid as listed.

Compensation

USD 90,098 - 99,000 per year (estimate based on experience and other factors such as geographic location). Actual pay may vary. Combined salary range: USD $90,098.00 - USD $99,000.00 /Yr.

Benefits

Opportunities for continuous learning and development.
Research oriented work alongside teams developing practical solutions for national security.
Flexible scheduling with an every other Friday off option (9/80 schedule).
Competitive benefits including 401k matching, flex time off, paid parental leave, healthcare benefits, health and wellness programs, employee resource and social groups, and more.
More details available at gdmissionsystems.com/careers/why-work-for-us/benefits.

Clearance Requirements

Ability to obtain a Department of Defense Secret security clearance is required at time of hire.
Selected applicants will undergo a U.S. Government security investigation and must meet eligibility requirements for access to classified information.
U.S. citizenship is required due to the nature of work performed within company facilities.

Job Status

This job posting will remain open until the position is filled.

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2d ago

Data Engineer

Shift4 Center Valley, PA

Center Valley, PA

2d ago

Full time Python Application Security Cloud

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Job Description

Shift4 is looking for a hands-on Data Engineer to build and improve SQL- and Python-based batch jobs that transform raw payments data in Snowflake into datasets and reports used by internal teams and merchant-facing consumers. This onsite role in Center Valley, PA focuses on correctness, reconciliation controls, Snowflake cost awareness, and secure handling of data in a payments environment.

What you will do

Design, write, and maintain Python jobs that execute SQL over Snowflake to produce transaction, settlement, fee, and reconciliation datasets for internal and merchant-facing consumers.
Write performant, readable SQL using window functions, CTEs, incremental logic, and semi-structured handling for JSON/VARIANT on large transaction tables.
Package jobs as Docker containers and run them on the existing scheduler, ensuring each job is idempotent, rerunnable, parameterized, and observable with logging and alerting for failures or bad output.
Implement data-quality checks and reconciliation controls so data is accurate and totals consistently align across sources and reporting periods.
Manage Snowflake costs through warehouse sizing, clustering, query profiling, and avoiding wasteful scans.
Partner with finance, operations, and product stakeholders to translate payments questions into correct, maintainable queries.
Apply security controls for a payments environment, including secrets handling, least-privilege access, PII masking, and audit trails.
Document the job library and contribute to code review, testing, and CI practices for the team.
Explore and apply AI tools to improve efficiency across the development lifecycle, including query authoring, testing, and documentation.

Requirements

1 to 3 years of experience in data engineering, analytics engineering, or backend roles building production SQL-heavy data workloads.
Strong SQL skills, including window functions, CTEs, aggregation and joins over large tables, and the ability to tune queries by reading execution plans.
Hands-on Snowflake experience, including warehouse and credit/cost awareness, stages and COPY INTO, streams and tasks, time travel, and VARIANT/semi-structured data; plus experience with Snowpark or the Snowflake Python connector.
Solid Python for data work, including pandas or Polars, parameterized SQL, configuration and secrets management, structured logging, error handling, and unit tests.
Docker fundamentals, including building images, running scheduled batch jobs in containers, and debugging container failures.
Basic Git and CI/CD habits, with comfort in code review and writing testable, rerunnable jobs.
Strong attention to numerical correctness, with persistence in investigating when totals do not tie out.

Technologies

Python, SQL, Snowflake
Docker, pandas, Polars
Git, Snowpark, Snowflake Python connector
VARIANT, JSON, CTEs, window functions
Generic GitHub-style code review and CI/CD

Nice to have

Payments domain knowledge covering authorization, capture, settlement, refunds, chargebacks, interchange and scheme fees, plus merchant and acquirer data models and reconciliation.
Experience with orchestration and transformation tooling such as Airflow, Prefect, Dagster, or dbt.
AWS exposure from the developer side, including S3, IAM, Secrets Manager, and ECS/Fargate scheduled tasks.
Data-quality frameworks and pipeline monitoring/alerting tools such as Great Expectations, dbt tests, or Soda.
Experience in a PCI or otherwise regulated environment.
Exposure to BI tools consuming outputs, such as Sigma, Tableau, Power BI, or Looker.

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2d ago

Software Engineering Manager, Cybersecurity

Caterpillar Peoria, IL

Peoria, IL

2d ago

$148k - $240k/yr Full time Manager Application Security Data Security

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Job Description

Lead cybersecurity engineering at Caterpillar by strengthening security-by-design across a division’s application and product portfolio. This onsite role in Peoria, IL (with additional location options) combines team leadership with practical application security outcomes, measurable risk reduction, and scalable security controls embedded throughout the software development lifecycle.

Compensation: $147,760 - $240,110 per year. Travel: up to 20%. Work setup: onsite five days a week.

What you’ll do

Lead, hire, coach, and develop an engineering team, setting clear goals and managing performance.
Build a network of security champions across delivery teams to strengthen ownership and consistent secure delivery.
Own the division’s application security improvement roadmap in partnership with central cybersecurity.
Turn business needs and enterprise policy into prioritized initiatives, work plans, schedules, resource estimates, and progress reviews.
Manage team capacity, budgets, tools, and supplier relationships.
Review technical standards, architecture, and design conformance; resolve delivery constraints; drive continuous improvement in quality and service effectiveness.
Embed security-by-design across the SDLC, including threat modeling, secure code practices, pull-request review, and security testing.
Guide secure handling of secrets, cloud configuration, and third-party dependency management.
Establish documented security release gates using approved enterprise processes.
Ensure API and endpoint authentication, authorization, and access-control reviews are completed and approved before code advances through environments.
Accelerate adoption of shared security tools and preventive controls within CI/CD pipelines.
Use automation and AI-assisted scanning with appropriate oversight, validated findings, and clear accountability.
Lead vulnerability triage with security experts by validating accuracy, removing duplicates, applying a consistent severity rubric (such as CVSS), assessing business impact, and prioritizing high-risk issues.
Assign remediation owners, agree timelines, and track findings to verified closure; escalate risk through governance and prioritize systemic root-cause fixes.
Maintain accurate application, asset, and repository inventories with clear ownership mapping.
Build trustworthy portfolio dashboards covering scan coverage, validated findings, remediation aging, agreed service-level performance, and risk reduction.
Conduct security progress reviews and communicate decisions, trade-offs, and support needs with stakeholders.
Coordinate audit evidence, policy alignment, and remediation with central cybersecurity and application security teams.
Create a shared home for division security guidance, training, and documentation; coach teams and suppliers to make security practices sustainable.

What you bring

Bachelor’s degree in computer science, information systems, cybersecurity, or a related field, or equivalent practical experience.
Strong experience as a Software Engineering Manager or similar lead experience.
Deep knowledge across software development, architecture, integration, and testing, with practical secure development experience for modern applications, APIs, and cloud environments.
Broad cybersecurity knowledge and hands-on application security judgment, including threat modeling, authentication and authorization, vulnerability validation, remediation, and automated security controls.
Experience translating security policies and frameworks into engineering controls, supporting audits, and managing risk-based improvement programs with measurable outcomes.
Practical knowledge of OWASP guidance and security testing tools, including static and dynamic analysis, dependency and secret scanning, and integrating controls into delivery pipelines.
A proven track record of building security champions, improving engineering practices, and using reliable metrics to drive adoption and recurring risk reduction.
Strong communication, stakeholder management, and program leadership skills, including the ability to explain technical risk in business terms and balance security, quality, cost, and delivery speed.
Experience scaling application security across complex or global enterprise environments, with product-centric or Agile delivery and collaboration with central security preferred.
Relevant certifications such as CISSP, CISM, CSSLP, or GIAC application security credentials; a related master’s degree; or comparable advanced expertise demonstrated through practice preferred.

Benefits

Medical, dental, and vision benefits*
Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
401(k) savings plans*
Health Savings Account (HSA)*
Flexible Spending Accounts (FSAs)*
Health Lifestyle Programs*
Employee Assistance Program*
Voluntary Benefits and Employee Discounts*
Career Development*
Incentive bonus*
Disability benefits*
Life Insurance*
Parental leave
Adoption benefits
Tuition Reimbursement

Additional details

Candidate must be in Chicago, IL, Peoria, IL, Denver, CO, or Dallas, TX.
Relocation assistance: not available.
Visa sponsorship: not available.
Onsite requirement: five days a week.
Travel: up to 20%.
Employment is conditioned upon successful completion of a drug screen.

Career area: Technology, Digital and Data

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3d ago

Data Engineer / Metadata Engineer

Omniscius Consulting Arlington, VA

Arlington, VA

3d ago

Full time Azure Data Engineer Big Data Cloud Data Engineering

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Job Description

Omniscius Consulting is hiring a Data Engineer / Metadata Engineer to help build enterprise-ready data pipelines, metadata repositories, and data governance solutions. This onsite role in Arlington, VA focuses on improving data quality, discoverability, lineage, and cataloging while supporting cloud-native data platforms for analytics, AI/ML, and business intelligence workloads.

What you will do

Design, build, and maintain scalable data pipelines and ETL/ELT processes.
Integrate data from multiple structured and unstructured sources into enterprise data platforms.
Develop and optimize data models, data warehouses, data lakes, and lakehouse architectures.
Ensure pipelines meet performance, reliability, and scalability requirements.
Implement automation and monitoring for ingestion and processing workflows.
Design and maintain metadata repositories and data catalogs, including business, technical, and operational metadata standards.
Build automated metadata collection, classification, and enrichment processes.
Maintain metadata lineage and provide impact analysis across data assets.
Support enterprise data governance initiatives and best practices, including compliance with organizational data policies and regulatory requirements.
Partner with business and technical stakeholders to define data ownership and stewardship models.
Implement data quality monitoring and validation controls.
Support master data management (MDM) and reference data initiatives.
Develop and support cloud-native data solutions within Azure, AWS, or Google Cloud.
Contribute to infrastructure-as-code and data platform automation efforts.
Document system designs, data flows, metadata models, and operational procedures.

What you bring

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field (or equivalent experience).
3-7 years of experience in data engineering, metadata management, or related data platform roles.
Experience building and maintaining ETL/ELT pipelines.
Strong SQL development and database management skills.
Experience with data warehousing and large-scale data processing.
Understanding of metadata management, data lineage, and data catalog concepts.
Strong problem-solving, analytical, and communication skills.
Active Top Secret (TS) clearance.

Tools and platforms you may work with

SQL, ETL/ELT, Azure, AWS, Google Cloud, Microsoft Purview, Collibra, Alation, Informatica EDC, Apache Atlas, data governance frameworks, data quality management, Master Data Management (MDM), data modeling, Data Mesh and Data Fabric.

Preferred experience

Experience with enterprise data catalog platforms including Microsoft Purview, Collibra, Alation, Informatica EDC, or Apache Atlas.
Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform.
Familiarity with data governance frameworks, data quality management, MDM, data modeling, and Data Mesh/Data Fabric architectures.
Experience supporting AI, Machine Learning, and advanced analytics initiatives.

Location: Arlington, VA (onsite)

Minimum experience: 3 years

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4d ago

AI Data Engineer

Howard Hughes Medical Institute Chevy Chase, MD

Chevy Chase, MD

4d ago

$129k - $161k/yr Full time Artificial Intelligence Big Data Bigdata

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Job Description

The Howard Hughes Medical Institute (HHMI) is seeking an AI Data Engineer to help build and run the data-engineering foundation for HHMI’s AI Accelerator. You will turn institutional content into governed, AI-ready data by implementing pipelines, medallion-style curation, workflow orchestration, governance, and retrieval-supporting infrastructure under the direction of the Principal Knowledge & Data Architect.

This hybrid role supports AI developers and product teams by delivering the data layer they need for AI use cases, while also partnering with Operations Capabilities on source-system contracts and data quality outcomes.

Responsibilities

Build AI-facing data pipelines that ingest landing-zone content from Operations Capabilities, transform it through raw bronze, silver, and gold stages, and serve governed, AI-ready datasets for downstream consumption.
Implement the medallion architecture by translating design patterns from the K&D Architect into working pipelines, tables, and materialization schedules.
Design and operate Delta Lake tables with partitioning, optimization, and evolution in mind.
Own workflow orchestration using Databricks Workflows and Delta Live Tables, including retry policies, alerting routes, run history, and cost tagging.
Implement governance patterns for AI-facing assets using Unity Catalog, including sensitivity classification, access control, and audit.
Build and operate retrieval-supporting infrastructure such as embedding pipelines, vector store maintenance, reindexing when models upgrade, and retrieval evaluation frameworks.
Partner with Operations Capabilities on source-system contracts, defining what the AI Fabric consumes at the landing zone, including schema, cadence, SLA, and quality thresholds.
Own the platform-side portion of those source-system contracts.
Design and operate data quality and observability, including data-quality checks, freshness monitoring, drift detection, and alerting that surfaces issues before AI users are impacted.
Support AI Developer velocity by providing targeted data engineering support when AI developers deploy into product teams.
Contribute to and consume the reference-pattern library, including reusable pipeline patterns, code templates, and standards maintained in the shared platform layer.

Requirements

At least 4 years of hands-on production data engineering experience designing, building, and operating production data pipelines.
Depth with Databricks and Spark, including Delta Lake, medallion architecture, Delta Live Tables, Databricks Workflows, Databricks SQL, and Unity Catalog.
Fluency in Python and SQL, including PySpark, ETL patterns, and SQL that runs at scale.
Working familiarity with Git, CI/CD for data pipelines, and infrastructure-as-code using Terraform.
AI-adjacent data engineering experience, including building the data foundation for AI use cases such as embedding pipelines, vector stores, chunking strategies, and retrieval evaluation.
Practical workflow orchestration experience with Databricks Workflows or Airflow in production, including retry semantics, dependency management, and failure handling.
Data quality and observability experience with Great Expectations, Databricks data-quality monitors, or comparable tools.
Governance discipline, including working with Unity Catalog structures and sensitivity classification, with access control and audit in mind from the first commit.
AWS foundations at the level needed for Databricks-on-AWS work, including IAM, S3, and KMS.
Strong communication skills, including collaboration with the K&D Architect, AI Developers, and Operations Capabilities, and the ability to explain data-engineering trade-offs to non-engineers.
Bachelor’s degree or equivalent, plus meaningful exposure to AI or knowledge-management use cases alongside at least four years of hands-on data engineering.

Technologies

Databricks Workflows, Delta Live Tables, Delta Lake, Databricks SQL, Unity Catalog
Python, PySpark, SQL
Git, CI/CD, Terraform
Databricks data-quality monitors, Great Expectations
Embedding pipelines, vector store maintenance, retrieval evaluation frameworks
Databricks-on-AWS: IAM, S3, KMS
Airflow

Benefits

Competitive pay
Exceptional health benefits
Retirement plans
Time off
Recognition and wellness programs

Practical Details

Location: Chevy Chase, MD (hybrid)
Schedule: three days per week in-person at HHMI’s offices in Chevy Chase, Maryland
Reports to: Director of AI Enablement
Compensation: $128,816.80 - $161,021.00 annually (pay type: annual)
Visa: HHMI is not able to sponsor a visa for this position at this time

Physical Requirements

Ability to remain in a normal seated or standing position for extended periods of time
Ability to reach and grasp by extending hands or arms
Dexterity to manipulate objects with fingers, such as using a keyboard
Communication skills using the spoken word
Ability to see and hear within normal parameters
Mobility to move about the workspace
Ability to move materials weighing up to several pounds, such as a laptop computer or tablet

Note: This description outlines principal duties, responsibilities, and requirements and is not an exhaustive statement. Unless they begin with the word “may,” essential duties and responsibilities listed above are essential functions as defined by the Americans with Disabilities Act. HHMI is an equal opportunity employer and uses E-Verify to confirm identity and employment eligibility of all new hires.

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7d ago

Data Engineer - ACWS

Data Systems Analysts, Inc. Fort Dix, NJ

Fort Dix, NJ

7d ago

$120k - $130k/yr Full time Amazon Rds Appian Data Architecture

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Job Description

Data Systems Analysts, Inc. is seeking a Data Engineer - ACWS to help lead data architecture and database operations that deliver dependable, high-performing, and well-governed data services. In this onsite role in Fort Dix, NJ, you will support contract writing, reporting, modernization efforts, and enterprise data quality using common data models and reusable structures.

This position supports end-to-end data delivery, from pipeline development and integration work to documentation, validation, and governance-oriented improvements. The scope includes enabling reporting feeds and partnering across BI, application, architecture, and database teams to ensure data requirements are met consistently.

Responsibilities

Develop and maintain ACWS data pipelines, mappings, integrations, and reporting feeds.
Support data migration activities including transformation, validation, reconciliation, and quality management.
Coordinate data requirements with BI, application, architecture, and database teams.
Document data flows, transformation logic, assumptions, and validation outcomes.
Recommend improvements to data reliability, automation, analytics readiness, and governance.

Required Qualifications

Bachelor's degree in Data Engineering, Computer Science, Information Systems, Data Science, Analytics, or a related technical field.
Relevant certification(s) in data engineering, cloud platforms, databases, Agile methodologies, and CompTIA Security+.
4+ years of data engineering experience with ETL/ELT, database design/development, data integration, data migration, APIs, and data pipelines.
Experience designing, developing, and supporting solutions using Oracle Database, Amazon RDS for Oracle, PostgreSQL, AWS data services, and ETL/ELT technologies.
Active Secret clearance; ability to obtain Top Secret clearance based on Government requirements.