Data Engineer - Data Warehouse Architect

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified checked Jun 7, 2026

Salary

$74K-$126K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

14% below the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Data Engineer - Data Warehouse Architect Reston, VA This position focuses on developing, implementing, and maintaining architecture solutions across a large enterprise data warehouse to support effective and efficient data management and enterprise-wide business intelligence analytics. Responsibilities: Implement and optimize data pipeline architectures for sourcing, ingestion, transformation, and extraction processes, ensuring data integrity and compliance with organizational standards. Develop and maintain scalable database schemas, data models, and data warehouse structures; perform data mapping, schema evolution, and integration between source systems, staging areas, and data marts. Automate data extraction workflows and create comprehensive technical documentation for ETL/ELT procedures; collaborate with cross-functional teams to translate business requirements into technical specifications. Establish and enforce data governance standards, including data quality metrics, validation rules, and best practices for data warehouse design and architecture. Develop, test, and deploy ETL/ELT scripts using SQL, Python, Spark, or other relevant languages; optimize code for performance and scalability. Tune data warehouse systems for query performance and batch processing efficiency; apply indexing, partitioning, and caching strategies. Perform advanced data analysis, validation, and profiling using SQL and scripting languages; develop data models, dashboards, and reports in collaboration with stakeholders. Conduct testing and validation of ETL workflows to ensure data loads meet SLAs and quality standards; document testing protocols and remediation steps. Troubleshoot production issues, perform root cause analysis, and implement corrective actions; validate data accuracy and consistency across systems. Basic Qualifications: Minimum of 3 years of experience in data analysis. Additional Qualifications: Strong analytical and problem-solving skills with attention to detail.

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