Senior Data Engineer
Connected Logistics
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- Provides expertise in designing, developing, and maintaining scalable data pipelines and architectures supporting enterprise data catalogs and federated data environments
- Integrates structured and unstructured data from clinical, operational, and research systems (e.g., EHRs, data lakes, APIs)
- Implements metadata harvesting, data lineage, and data quality enforcement aligned with enterprise governance frameworks
- Supports AI/ML readiness through feature engineering, data transformation, and pipeline automation
- Works within federal healthcare environments, ensuring compliance with HIPAA, DoD, and DHA data standards
Requirements
- Bachelor's Degree in Computer Science, Data Engineering, Information Systems, Systems, Software Engineering, or related technical discipline
- Certifications in cloud platforms or data engineering technologies (e.g., AWS Data Analytics, Azure Data Engineer, Databricks) preferred
- 8 years (with at least 5 years designing and implementing enterprise-scale data pipelines supporting healthcare or federal data programs)
Benefits
- health, dental, vision, life and disability insurance
- great 401(k) package
- generous Paid Time Off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data pipelinesdata architecturesmetadata harvestingdata lineagedata quality enforcementfeature engineeringdata transformationpipeline automation
Certifications
AWS Data AnalyticsAzure Data EngineerDatabricks