data engineeringdata pipelinesdata qualitydata architectureKubernetesTeradataAWSDatabricksminIOAWS S3RedshiftSQLJavadata lineageAPIsdata storage
Key details
Salary
$158K – $237K
Employment type
Full-time
Seniority
Senior
Years experience
10+
Location
Reston, United States
Full job description
Lead design and management of data engineering solutions to improve decision-making and operational efficiency. Develop robust data pipelines and storage systems ensuring high data quality and accessibility. Design and implement data architecture across platforms including Kubernetes, Teradata, AWS, and Databricks. Select appropriate data storage solutions such as minIO, Teradata, AWS S3, and Redshift. Map data lineage and apply transformation rules for troubleshooting and impact analysis. Collaborate with cross-functional teams to enhance data sourcing, processing, and operational processes. Set design standards and QA protocols for software and systems development. Requires 10+ years experience, Bachelor's degree or equivalent, and ability to work nights and weekends as needed. Salary range $158,057.06 - $237,085.58.
What you'll do
Lead data structure and pipeline development to standardize, transform, and deliver data for insights and reporting
Ensure data quality throughout ingestion, processing, and loading using rigorous data quality frameworks
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Base pay within range $158,057.06 - $237,085.58 depending on experienceBonus eligibility for non-sales positionsComprehensive benefits including physical, financial, and emotional supportAccess to expert guidance and personalized toolsSupport for major life milestones and everyday needs
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