Data Engineer III

TL;DR

Data Engineer III (AWS/Spark/Python): Developing, expanding, and optimizing data pipeline architecture and ETL processes for cross-functional teams with an accent on scalability, data quality, and big data tools. Focus on designing scalable data infrastructure, implementing large-scale data processing, automating manual processes, and resolving technical issues in high-volume environments.

Fully Remote (US, Eastern Time Zone 9:00 AM to 5:00 PM ET; US public trust clearance required: US citizen or lived in US 3/5 years with valid passport/visa)

$113,200 - $127,900

Company

Modern digital services company partnering with US federal government agencies to build intuitive products for veterans, service members, families, and seniors.

What you will do

• Develop, expand, and optimize data pipelines and architecture for cross-functional teams including developers, analysts, and scientists.
• Build and maintain ETL processes, PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker; handle large-scale dataset engineering and data quality analysis.
• Operate data processing pipelines, assemble complex datasets, and implement process improvements for scalability and automation.
• Build infrastructure for data extraction/transformation/loading using AWS and SQL; create analytical tools for business metrics.
• Collaborate with stakeholders on data issues, write tests, work with DevOps on CI/CD/IaC, perform code reviews.

Requirements

• US public trust clearance: US citizen or 3/5 years US residency + valid passport/visa/work permit
• 8+ years data engineering/software dev experience, including 4+ years Python/Java/cloud for pipelines; Bachelor’s in CS/related or 10+ years IT exp.
• Expert in data pipelines, wrangling, architecture for scalability/performance; big data tools (Spark, Hadoop), DBs (MySQL, Postgres), Airflow, AWS (Redshift, EMR, EC2), stream processing.
• Strong analytics on unstructured data, root cause analysis, data transformation processes; Agile, TDD, GitHub, Jira/Confluence.
• Excellent written/spoken English; flexible in fast-paced team environment; Eastern Time Zone alignment

Nice to have

• Federal gov contracting, CMS/healthcare data experience (Medicaid/CHIP).
• Certifications: Databricks, Google/IBM/Cloudera Data Engineer.

Culture & Benefits

• Remote work in Eastern Time Zone (9-5 ET); occasional travel <5% for training/meetings.
• Highly competitive salaries and full healthcare benefits.
• Fast-paced, team-oriented environment with Agile methodology.