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3 jobs found

11d ago

Site Reliability Data Engineer

Leidos San Diego, CA

San Diego, CA

11d ago

$87k - $157k/yr Full time Ansible Business Intelligence Cloud Infrastructure

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Job Description

Leidos is seeking a Site Reliability Data Engineer to support the SMIT program for the Navy. The role focuses on building and operating secure enterprise data solutions along with automated testing frameworks that validate resilience, performance, and failure scenarios. You will work across hybrid cloud and on-premises environments and help meet SLOs for mission-critical services.

What you’ll do

Design, develop, test, deploy, and maintain scalable ETL/ELT pipelines that collect, transform, validate, and deliver structured and unstructured data from enterprise systems, applications, APIs, logs, files, and databases.
Build and optimize data models, schemas, tables, views, and curated datasets to support analytics, business intelligence, operational reporting, and downstream application needs.
Develop data-processing solutions using SQL, Python, and other approved technologies, applying reusable engineering patterns, source control, peer review, and documented release practices.
Integrate cloud and on-premises data platforms while supporting secure data movement, interoperability, availability, retention, and performance across hybrid enterprise environments.
Implement automated data-quality checks, reconciliation controls, monitoring, alerting, and exception handling to identify incomplete, inaccurate, duplicated, delayed, or failed data flows.
Troubleshoot pipeline failures, data discrepancies, performance degradation, access issues, and integration defects, performing root-cause analysis and corrective and preventive actions.
Collaborate with analysts, business intelligence developers, data owners, system administrators, and mission stakeholders to define data requirements, source-to-target mappings, transformation rules, service expectations, and acceptance criteria.
Apply data governance, security, privacy, least-privilege access, auditability, and records-retention requirements across the data lifecycle in coordination with cybersecurity and compliance teams.
Support platform upgrades, data migrations, modernization efforts, capacity planning, and performance tuning while minimizing disruption to production services.
Create and maintain technical documentation, including architecture diagrams, data dictionaries, lineage documentation, interface specifications, runbooks, standard operating procedures, and troubleshooting guides.
Participate in Agile planning, backlog refinement, technical reviews, demonstrations, incident response, and after-hours support when required to sustain mission-critical services.
Develop and execute tests focused on system resilience, performance underload, and failure scenarios.
Work with other Site Reliability Engineers and development teams to create automated testing frameworks that simulate real-world conditions and validate system behavior under normal and stress conditions to ensure resilient services and alignment with established SLOs.
Support the operations and maintenance of the enterprise network.

Required qualifications

B.S. Degree and 4–8 years of prior relevant experience, or Master’s with 2–6 years of prior relevant experience in data engineering, computer science, information systems, software engineering, mathematics, or a related technical discipline (at least four years of relevant experience; additional directly related experience may be considered in place of a degree).
U.S. citizenship and an active DoD Secret Security Clearance.
Must possess and maintain an IAT Level II certification that satisfies applicable DoD cybersecurity workforce requirements.
Must be located in (or able to work onsite at Navy Base as required) San Diego, California; the Hampton Roads, Virginia area; or Jacksonville, FL.
At least three years of hands-on experience developing, operating, or supporting production data pipelines, data integrations, data warehouses, data lakes, or comparable enterprise data solutions.
Proficiency with SQL and at least one general-purpose scripting/programming language such as Python for data extraction, transformation, validation, automation, and troubleshooting.
Experience with ETL/ELT, relational data structures, data modeling, schema design, source-to-target mapping, data quality, metadata, and lifecycle management.
Experience integrating data from multiple source types including relational databases, APIs, flat files, application data, system logs, or message-based interfaces.
Working knowledge of cloud and on-premises infrastructure concepts including authentication and authorization, network connectivity, encryption, secure file transfer, and service accounts as they relate to data engineering.
Ability to diagnose production data issues, analyze logs and metrics, resolve failed jobs or performance problems, and document root cause and corrective action.
Capability to work independently and collaboratively in a high-tempo operational environment, manage competing priorities, communicate clearly, and produce complete technical documentation.
Working knowledge of PowerShell, Python, and Ansible, with practical familiarity using LLMs and AI-enabled tools.

Technologies

SQL, Python, PowerShell, Ansible, LLMs, AI-enabled tools, ETL, ELT, Agile/DevOps

Benefits

Competitive compensation
Health and Wellness programs
Income Protection
Paid Leave
Retirement

Nice to have

Business intelligence experience including dashboards, reports, semantic models, KPIs, and self-service analytics solutions, with Microsoft Power BI and DAX knowledge highly desirable.
Microsoft Certified: Azure Administrator Associate (AZ-104).
Hands-on experience with Azure data and analytics services such as Azure Data Factory, Azure SQL, Azure Storage, Synapse Analytics, Databricks, or comparable cloud data platforms.
Familiarity with STIGs, RMF, vulnerability management, system hardening, security controls, and applicable compliance frameworks.
Experience with automation, configuration-management, source-control, or CI/CD tools such as Ansible, Jenkins, and Bitbucket.
Experience designing or supporting data solutions in classified, DoD, federal government, or other highly regulated environments.
Experience with modern data-platform concepts including data lakes, lake houses, dimensional modeling, streaming or event-driven data, distributed processing, or containerized workloads.
Experience with data cataloging, lineage, master/reference data, role-based access controls, audit logging, backup/recovery, and disaster recovery practices.
Relevant technical certifications in Azure, data engineering, database administration, analytics, cloud architecture, or security.
Strong customer engagement, requirements analysis, technical presentation, mentoring, and cross-functional collaboration skills.
Experience with graph databases such as Neo4j and query languages such as Cypher, including property graph modeling.
Familiarity with knowledge graphs, ontologies, or semantic data models and controlled vocabularies.
Experience with entity resolution/record linkage and reconciling conflicting values across multiple authoritative sources into a single trusted record.

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22d ago

Software/Data Engineer

Peraton Laurel, MD

Laurel, MD

22d ago

$176k - $282k/yr Full time Backend Developer Aws Solutions Architect Azure Solutions Architect

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Job Description

Peraton’s Cyber Mission business unit is seeking a Software/Data Engineer to support a large enterprise-wide engineering effort within the Intelligence Community. Based in Laurel, MD on an onsite basis, this position will contribute to the development and improvement of complex software systems while providing input that informs system design, including work that leverages COTS/GOTS solutions.

The role focuses on engineering and sustaining software capabilities, reviewing and testing components against design requirements, and documenting results. You will also analyze system performance standards, coordinate with users or system engineers, and investigate problem areas to keep mission systems operating effectively.

What you’ll do

Develop, maintain, and enhance complex software systems aligned to documented requirements
Review and test software components for adherence to design requirements
Document software test results
Apply software development and software design methodologies appropriate to the environment
Provide input to software components of system design, including Commercial Off-The-Shelf (COTS) and Government Off-The-Shelf (GOTS) in place of new development
Develop software solutions by analyzing system performance standards
Confer with users or system engineers to support engineering decisions
Analyze usage and work processes and investigate problem areas
Support one of the largest enterprise-wide engineering contracts within the Intelligence Community

Qualifications

Bachelor’s degree in Engineering, Computer Science, Mathematics, or a related field from an accredited college or university, plus 19 years of demonstrated Software Engineering experience
OR Master’s degree in Engineering, Computer Science, Mathematics, or a related field plus 17 years of Software Engineering experience
OR PhD in Engineering, Computer Science, Mathematics, or a related field plus 14 years of Software Engineering experience
OR High School Diploma or GED plus 20 years of Software Engineering experience
Experience designing, deploying, and managing cloud infrastructure using OpenStack and comparable platforms
Strong Linux and Python background
Understanding of IT management and operations
Active TS/SCI clearance with polygraph

Tech and tools

OpenStack, Linux, Python
PowerShell
AWS Certified Solutions Architect
Microsoft Certified: Azure Solutions Architect

Additional experience and strengths

Excellent oral, written, organizational, and communications skills
Broad experience in system engineering disciplines
Software development and Develop Operations experience
Experience using network automation tools
Familiarity with cloud security and operations
PowerShell familiarity
Certifications such as AWS Certified Solutions Architect or Microsoft Certified: Azure Solutions Architect are a plus

Compensation

$176,000 - $282,000 per year.

Benefits

Heavily subsidized employee benefits coverage for you and your dependents
25 days of PTO accrued annually up to a generous PTO cap
Eligible to participate in an attractive bonus plan
Medical, dental, and vision coverage
Life and health savings account
Short-term and long-term disability
EAP
Parental leave
401(k)
Paid time off (PTO) for vacation
Company paid holidays

Application process

The application period is estimated to be 30 days from the job posting date
During application review, you may be required to participate in an on-camera interview
Participation in a process to verify your identity may be required

Equal opportunity

Peraton is an equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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1mo ago

Data Engineer

Vaco by Highspring Nashville, TN

Nashville, TN

1mo ago Closed

$58+/hr Contract Bigquery Cloud Data Warehouse Cloud Platform

This position is no longer accepting applications (closed Sep 10, 2026).

Job Description

Vaco by Highspring is hiring a Data Engineer for a 12-month contract based in Nashville, TN with a hybrid work setup (Brentwood, TN is the local focus). In this role, you will help design and operate ETL/ELT pipelines, build data warehouse solutions, and deliver governed data products that support reporting, automation, analytics, and AI-driven use cases.

You will work across technical and business partners to translate requirements into reliable data solutions, while improving data quality and ensuring clear governance through documentation, lineage, testing, and change management.

What you’ll do

Build and maintain ETL/ELT processes and data pipelines
Develop and support data warehouse solutions and curated datasets
Integrate data from multiple source systems
Prepare data for reporting, analytics, automation, applications, and AI-driven use cases
Handle data acquisition, cleansing, parsing, transformation, validation, and reconciliation
Support data governance, including lineage, documentation, testing, and change management
Create and maintain data models aligned to business and reporting needs
Monitor and improve data quality across platforms and processes
Partner with technical and business teams to gather requirements and deliver data solutions
Create and maintain technical documentation and data standards

What you bring

Experience building and supporting ETL/ELT processes and data pipelines
Hands-on experience with Teradata Protocol Transport (TPT)
Hands-on experience with SSIS
Hands-on experience with Python
Hands-on experience with PowerShell
Experience with cloud-based data services
Background performing data acquisition, cleansing, parsing, transformation, validation, and reconciliation
Experience integrating data from multiple source systems
Experience preparing data for reporting, analytics, automation, applications, and AI-related initiatives
Strong understanding of data warehousing, data structures, and data modeling
Experience building curated datasets and governed data products
Experience with one or more database platforms, including Google BigQuery, Teradata Vantage, Oracle, Microsoft SQL Server, or other enterprise DBMS platforms
Experience with data analysis and data visualization
Strong understanding of data quality and governance practices (including lineage, documentation, testing, and change management)
Strong SQL skills
Ability to communicate technical concepts to both technical and non-technical audiences

Technologies

Teradata Protocol Transport (TPT)
SSIS
Python
PowerShell
Cloud-based data services
Google BigQuery
Teradata Vantage
Oracle
Microsoft SQL Server
SQL

Preferred qualifications

Experience with Google Cloud Platform (GCP)
Experience with Python
Experience with Microsoft SQL Server
Experience with Teradata
Experience with business intelligence and reporting platforms

Compensation: USD 58 per hour. Job type: contract. Location: Nashville, TN (hybrid).

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