Data Management

Data Management Developer Jobs

95 jobs found

Today

Supply Chain Data Engineer

NVIDIA Santa Clara, CA

Santa Clara, CA

Today

$152k - $288k/yr Full time Apache Airflow Automation Big Data

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Job Description

NVIDIA is pursuing a hands-on Supply Chain Data Engineer to design, build, and own automated, production-grade data pipelines that power forecasting and procurement decisions. The role sits at the intersection of data engineering and supply chain, reporting to executive leadership and partnering with modeling, procurement, operations, and IT teams to drive unified planning across the organization.

Responsibilities

Design, implement, and scale automated data pipelines using SQL and Python to ingest large supply chain datasets from internal and external sources.
Data Curation and Quality: serve as the primary steward of data quality, developing automated validations to detect anomalies, missing inputs, and historical mismatches before they reach planning frameworks.
Develop and refine pipelines that feed downstream machine learning and AI models, ensuring data remains clean, low latency, and ready for advanced computation.
Infrastructure Management: architect and maintain optimized data tables, views, and schemas tailored for fast querying by unified computational systems.
Systems Deconstruction: collaborate to deconstruct legacy decentralized planning workflows and migrate them to automated, centralized data environments that tie forecasting to procurement.
Cross-functional Collaboration: work closely with engineering, global procurement, operations, and IT to uncover hidden data sources and standardize core supply chain metrics.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Industrial Engineering, Operations Research, or equivalent experience.
Expert data engineering skills with mastery of SQL and Python, including Pandas for data manipulation.
7+ years of data pipeline experience, with a proven track record of building and running automated ETL/ELT pipelines in production.
Deep experience with relational databases, data warehouses (Snowflake, BigQuery), or large ERP systems (SAP or Oracle).
Extreme attention to detail and a strong focus on data integrity; solving data quality issues in large datasets is highly valued.
High autonomy: comfortable operating with loose initial guidelines to build robust, production-ready pipelines from scratch.

Technologies

SQL
Python
Pandas
Snowflake
BigQuery
SAP
Oracle
Apache Airflow
dbt
AWS
Azure
GCP
MATLAB

Benefits

Equity

Ways to stand out from the crowd

Prior experience building data infrastructure within the semiconductor, electronics, or large-scale technology hardware supply chains.
Background with mathematical modeling environments, advanced computation engines, or algorithmic simulation software such as MATLAB or advanced Python packages.
Familiarity with workflow orchestration tools like Apache Airflow or dbt, or infrastructure used to support Machine Learning pipelines (DataOps).
Experience cloud-architecting supply chain master data in AWS, Azure, or GCP.

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Today

Data Engineer Senior - Level 3

Lockheed Martin Corporation Fort Worth, TX

Fort Worth, TX

Today

Full time Senior Analytics Big Data

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Job Description

As a Senior Data Engineer - Level 3 based in Fort Worth, TX with a hybrid work arrangement, you will convert diverse data into actionable insights and develop data products and models to inform spares management, repairs, and long-term sustainment decisions for the IFG Sustainment Program.

Responsibilities

Gather and curate data from multiple internal and external sources to support spares modeling and performance metrics.
Examine data and apply analytical logic to create supply chain models that inform strategic decisions.
Work closely with the F-22 Sustainment Program Office (SPO) and stakeholders to align data initiatives with fleet performance objectives.
Produce standardized and ad-hoc reports for senior leadership, delivering insights that translate into measurable outcomes.
Lead efforts in performance-based supply analysis and visualization to optimize operations and reduce costs.
Collaborate with engineering, logistics, and analytics teams to ensure data accuracy, consistency, and relevance.

Requirements

Proficiency with Databricks, SAP HANA, Oracle, or SQL Server, including relational database concepts and SQL dialects (SQLScript, PL/SQL, Transact-SQL) for procedures, functions, and views, plus ETL and data warehousing principles.
Experience with Tableau, IBM Cognos, or other data visualization tools.
Experience in data mining and cleansing, identifying and correcting data quality issues to ensure accuracy, consistency, and completeness.
Strong problem-solving and troubleshooting abilities to resolve complex technical issues.

Technologies

Databricks
SAP HANA
Oracle
SQL Server
SQL
SQLScript
PL/SQL
Transact-SQL
Tableau
IBM Cognos
Python
VBA
GOLD
SAP (ERP)
PRIDE

Benefits

Flexible schedules, dependent on role
Competitive pay
Comprehensive benefits
Part-time Remote Telework

Security Clearance Statement

This position requires a government security clearance, and candidates must be U.S. citizens for consideration.

Clearance Level

Secret

Experience Level

Experienced Professional

Business Unit

AERONAUTICS COMPANY

Relocation Available

Possible

Career Area

Logistics

Type

Full-Time

Shift

First

Other Important Information You Should Know

This position is in Fort Worth, TX
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. If a match is identified, you may be contacted for this and future openings.
Ability to Work Remotely: Part-time Remote Telework. The employee will work part of their schedule remotely and part at a designated Lockheed Martin facility; the weekly schedule will be discussed during the hiring process.
Work Schedules: Lockheed Martin supports various alternate work schedules offering flexibility. Some schedules are standard 40 hours over five days, while others may be condensed to provide additional time away from the office, in addition to Paid Time Off benefits.
Schedule for this Position: 4x10 hour days, 3 days off per week
Lockheed Martin is an equal opportunity employer. Qualified candidates are considered without regard to legally protected characteristics.
The application window closes in 90 days; applicants are encouraged to apply within 5 to 30 days of the requisition posting date for optimal consideration.

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Today

Managed Services - Senior Data Engineer - Senior Manager

PwC Phoenix, AZ

Phoenix, AZ

Today

$124k - $280k/yr Full time Manager Senior Amazon Web Services

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Job Description

PwC seeks a Senior Data Engineer - Senior Manager to lead data analytics initiatives within Technology Consulting in Phoenix, AZ onsite.

Compensation

Salary: USD 124,000 - 280,000 per year

Responsibilities

Create and deploy data‑driven solutions that boost business performance and strengthen competitive advantage, including roadmap planning
Apply advanced analytics to support client operations and strategic objectives, covering AWS data engineering and Redshift workloads
Build and maintain data pipelines and architectures to enable business intelligence efforts, using DataStage and ETL processes
Implement data visualization capabilities to deliver actionable insights, leveraging SQL Server and DB2
Partner with stakeholders to identify data challenges and opportunities within managed services and SLA contexts
Coach and mentor teams to tackle complex problems and deliver high‑quality results
Use systems thinking to uncover root causes and improvement opportunities within client projects, including workload orchestration and scheduling
Validate outcomes with clients and incorporate feedback to optimize solutions, focusing on CSAT and performance tuning
Lead teams through uncertain and challenging situations with calm judgment and clear direction

Requirements

Bachelor's degree required
Minimum 6 years of experience

Technologies

AWS
Redshift
DataStage
ETL
SQL Server
DB2
Python
Java
QlikView
Oracle BI

Benefits

Medical, dental, and vision coverage
401(k) retirement plan
Holiday pay
Vacation time
Personal and family sick leave

The Opportunity

In this role, you will leverage data and analytics to deliver strategic insights and support data‑driven decision making for clients. Within the Technology Consulting practice, you will design and deploy innovative solutions to optimize business performance and strengthen competitive advantage. As a Senior Manager, you will apply your skills and professional network to deliver quality results, coaching teams to solve complex problems.

What Sets You Apart

Preference for one of these degree fields: Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Operations Management/Research; Statistics; Engineering
Demonstrated expertise in data architecture development and end-to-end data pipeline management
Proficiency with Python and Java for complex data analysis and visualization
Strong experience with business intelligence tools such as QlikView and Oracle BI
Ability to lead strategic questioning and engage stakeholders effectively
Applied systems thinking to identify underlying problems and opportunities
Proven track record of directing teams through complex and ambiguous situations

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Today

Staff Data Engineer

Dexcom Remote 🌍 Remote

Remote

Today

$129k - $214k/yr Full time Analytics Artificial Intelligence Business Analytics

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Job Description

Join Dexcom and be part of a team that enables life changing CGM technology. This remote role places you at the forefront of manufacturing data systems while offering a comprehensive benefits program, global growth opportunities, and robust career development. You will collaborate across functions, contribute to a forward looking data platform, and engage with a supportive community of professionals in the Dexcom Warriors network.

Benefits

A front row seat to life changing CGM technology and the Dexcom Warriors community
A full and comprehensive benefits program
Opportunities for growth on a global scale
Career development through in house learning programs and tuition reimbursement
An innovative, employee focused organization committed to our people, customers, and communities

Responsibilities

Design, develop, and maintain SQL database systems that support manufacturing operations
Optimize and monitor MS SQL Server databases, ETL/ELT integrations, CDC, replication, and GCP components including BigQuery, DBT data models, and Iceberg archival to ensure performance and availability
Drive database best practices and support data modernization initiatives by adopting advancing technologies such as AI and MCP
Develop and maintain monitoring tools and processes to proactively identify and address database issues
Implement and maintain ETL/ELT processes, data warehousing, and replication solutions to provide near real time data solutions globally for efficient storage and retrieval
Collaborate with cross functional teams to gather requirements, design systems, and implement database solutions including stored procedures, schema design, data contracts for APIs, and a data dictionary to support manufacturing software
Work with the Microsoft SQL Server stack and the GCP stack (SSIS, SSRS, PowerBI, PolyBase, BigQuery, Datastream, Cloud Storage, BigLake Iceberg tables, Cloud SQL, DBT)
Partner with R&D, Operations, Process Engineering, Quality Assurance, Contract Manufacturers, and other stakeholders to enable data access for reporting and integration
Collaborate with IT security to maintain PKI HSMs used for key management and cryptographic operations, assisting in configuration, installation, and ongoing maintenance
Document solutions and train DBA teams on common issues and best practices

Requirements

Ability to prioritize and execute tasks in a high pressure environment
Detail oriented with a commitment to maintaining updated documentation
Working knowledge of data management tools such as Jira, Jama, and Confluence
Strong written and spoken English communication
Creative problem solver with careful attention to detail
5+ years of experience with Microsoft SQL Server and fluent in SQL Server 2012+
DBA experience or solid understanding of DBA best practices and replication
Nice to have: experience with BigQuery, Iceberg, DBT, open table formats or similar technology; knowledge of VMware and SQL Server 2022
Nice to have experience with Siemens Camstar

Technologies

Microsoft SQL Server, SSIS, SSRS, PowerBI, PolyBase
BigQuery, DBT, Datastream, Cloud Storage, BigLake
Apache Iceberg, Cloud SQL, AI, MCP
Jira, Jama, Confluence, VMware, Siemens Camstar
SQL Server 2012+

Remote Workplace

Your home office serves as your primary workspace. A hybrid arrangement may be available if you reside within commuting distance of a Dexcom site. Flex workplace options can be discussed.

Travel

Travel is expected to be 0 to 5 percent of time.

Experience and Education

Typically, candidates hold a technical degree with multiple pathways to senior roles: a PhD with 2 to 4 years of related experience; a Master’s degree with 5 to 7 years; or a Bachelor’s degree with 8 to 12 years of related experience. A PhD is noted as part of the education requirements for this role.

Salary

USD 128,600 to 214,400 per year.

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1d ago

Data Engineer

Centro, Inc North Liberty, IA

North Liberty, IA

1d ago

Full time Apache Airflow Data Analysis Data Analytics

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Job Description

Centro, Inc is seeking a Data Engineer to shape and sustain the data infrastructure that powers reporting, analytics, and organizational decision-making. Working within Centro's Harbor data platform, you will transform data from ERP, manufacturing, and business systems into reliable, actionable insights. This onsite role is based in North Liberty, IA and requires a Bachelor's degree in a relevant field.

Responsibilities

Design, develop, and maintain ETL pipelines that support enterprise reporting and analytics.
Build and manage data workflows spanning extraction, change data capture, transformation, and loading.
Coordinate scheduled and on-demand workflows using Prefect.
Integrate data from ERP, manufacturing, and business applications into centralized data platforms.
Stage and transform source data in MongoDB environments and load curated datasets into Microsoft SQL Server.
Implement incremental processing strategies using Redis-backed CDC methodologies.
Convert complex, nested, and multi-value data structures into relational models optimized for reporting and analytics.
Develop and maintain dbt models, data tests, and supporting documentation.
Monitor pipeline performance and troubleshoot data quality issues, schema changes, and workflow failures.
Collaborate with business stakeholders to understand data requirements and develop scalable solutions.
Create and maintain technical documentation, operational procedures, and support resources.
Identify opportunities to automate manual processes and improve data delivery efficiency.
Ensure data accuracy, consistency, security, and reliability across systems.
Stay current with emerging data engineering technologies, tools, and best practices.

Requirements

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field, or an equivalent mix of education and experience.
Proven experience designing, building, and supporting production data pipelines.
Proficiency in SQL and Python for enterprise data processing and integration tasks.
Experience working with structured, semi-structured, and unstructured data.
Strong ability to troubleshoot and optimize data workflows and performance.
Solid analytical, organizational, and problem-solving skills.
Effective written and verbal communication abilities.
Capacity to manage multiple priorities and adapt to changing business needs.

Technologies

SQL
Python
Prefect
MongoDB
Microsoft SQL Server
Redis
dbt
Docker
Apache Airflow

Physical Requirements & Work Environment

Primarily office-based in a professional business setting.
Occasional exposure to manufacturing environments, including production floors.
Ability to sit, stand, walk, and use computer equipment for extended periods.
Occasional travel may be required.
Typical schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m., with flexibility as business needs require.

Why Join Centro?

Centro is a leader in rotational molding with a long-standing commitment to innovation, quality, and employee development. The company encourages collaboration and empowers teams to enhance business processes and support growth through technology and data-driven decision making.

Equal Opportunity Employer

Centro is an Equal Opportunity Employer.

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2d ago

Data Engineer II

Amazon.com Services LLC Bellevue, WA

Bellevue, WA

2d ago

$132k - $179k/yr Full time Amazon Emr Analytics Artificial Intelligence

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Job Description

Amazon.com Services LLC seeks a Data Engineer II to design, build, and operate production SQL data pipelines in a cloud data warehouse, while contributing to a semantic layer that enables AI driven analytics at enterprise scale.

Location

Bellevue, WA (onsite)

Compensation

USD 132,100 - 178,800 per year

Responsibilities

Design, implement, and operate production SQL pipelines in a cloud data warehouse to handle large volumes of daily operational data with reliability, freshness, and observability.
Model entity schemas, define metric formulas, and own end-to-end data lineage from raw sources through transformations to consumption.
Ship features across backend services and frontend UI for the team's tools, enabling data capture, review, and action at the source.
Contribute to a semantic layer encoding business context for AI agents to consume.
Collaborate with business stakeholders to translate operational expertise into structured, machine-readable definitions.
Own the operational health of what you build, including production alerts, on-call responsibilities, ticket intake, and access controls such as row-level security, plus pipeline observability.
Design, build, and operate production data pipelines that process daily operational data from multiple upstream sources with strong reliability and observability.
Ensure downstream consumers and AI agents can trust numbers by maintaining end-to-end data lineage from source to consumption.
Contribute to full-stack web applications used by business teams, shipping features across backend services and frontend UI to make data captureable, reviewable, and actionable at the source.
Extend the semantic layer with version-controlled definitions of metrics, entities, relationships, and business context so operational knowledge lives in code and can be consumed by AI agents and LLM-based tools.
Partner with business stakeholders to translate domain knowledge into structured, machine-readable definitions and tables.
Continuously seek opportunities to reduce manual analysis by moving the platform toward natural language interfaces, richer entity relationships, and more autonomous investigation.
Explore emerging techniques in semantic data modeling, knowledge representation, retrieval, and prompt engineering to improve how AI systems reason over our data.
Write design docs, scope documents, and runbooks that make the team's work reviewable, maintainable, and durable.

Requirements

3+ years of data engineering experience.
Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related fields, or 3+ years of professional software development experience.
Experience with one or more object oriented programming languages (for example Java, C/C++, Python).
Experience with data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT and reporting/analytic tools and environments, data structures, and hands-on SQL coding.
Experience with Redshift, Oracle, NoSQL, etc.

Technologies

SQL
Python
Java
C
C++
Redshift
Oracle
NoSQL
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave

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3d ago

Data Engineer

Booz Allen Hamilton Fayetteville, NC

Fayetteville, NC

3d ago

$78k - $176k/yr Full time Apache Airflow Automation AWS

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Job Description

Booz Allen Hamilton is seeking a Data Engineer for an onsite role in Fayetteville, North Carolina. In this position you will design scalable data platforms and pipelines, migrate data to cloud environments, and implement CI/CD practices while advising on data solutions within a complex enterprise setting. The role carries a salary range of USD 77,500 to 176,000 per year and requires working onsite.

Responsibilities

Design, implement, and maintain scalable data pipelines and platforms.
Build secure and efficient Python code for data processing, automation, and warehousing.
Migrate and integrate data from on premises systems to cloud environments.
Establish CI/CD pipelines to automate build, test, and deployment workflows.
Create SQL scripts and stored procedures for data processing and transformation.
Apply data modeling best practices in schema design.
Support data governance, metadata tagging, and access controls.
Collaborate with cross functional teams to deliver end to end data solutions.
Provide technical guidance in a complex enterprise environment.

Requirements

2+ years of experience as a data engineer supporting large scale enterprise systems.
Experience writing clean, secure, and efficient Python for data engineering use cases.
Experience moving data from on premise environments to the cloud and automating development workflows, including building, deploying, or managing applications.
Experience with CI/CD practices.
Experience with SQL, including stored procedures and data modeling.
Experience with data governance and data tagging.
Knowledge of AWS services such as S3, IAM, EventBridge, Step Functions, or Lambda.
Ability to work independently and manage tasks with minimal supervision.
TS/SCI clearance.
HS diploma or GED.

Technologies

Python
SQL
AWS (S3, IAM, EventBridge, Step Functions, Lambda)
dbt
Airflow
Pipeline Builder
AIP
Foundry
Apache Iceberg
Terraform
CloudFormation
NoSQL databases
Graph databases

Benefits

Health benefits
Life insurance
Disability benefits
Financial benefits
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program

Work Model

Onsite: Work will primarily be performed at a Booz Allen office or customer facility, with collaboration as required by the role.
Hybrid: You may be expected to work from a Booz Allen facility frequently, and may be required to visit a customer facility.
Remote: If listed as remote, there may be occasions where in person work is required at Booz Allen or a customer facility.

Identity Verification

As part of the hiring process, you will complete an identity verification step that uses biometrics and artificial intelligence to confirm authenticity and protect against identity fraud. Interviews and assessments are conducted on camera, and Booz Allen may capture a photograph to verify identity.

Candidate AI Usage Policy

AI tools are part of Booz Allen's daily work, and the company supports responsible use of AI while maintaining a fair candidate process based on your own skills. The use of artificial intelligence or other tools to assist with interview responses is prohibited unless explicit permission is provided.