Senior Data Engineer: AWS, Kafka & ML Pipelines (Hybrid)

Eliassen Group; McLean (VA); Hybrid; USD 90,000 - 103,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and platforms on AWS. The role focuses on batch and streaming data processing and analytics enablement for ML workloads.

Hybrid work arrangement with some onsite presence in McLean, VA is required; W2 consultants are offered a comprehensive benefits package including Medical, Dental, Vision, 401k with company matching, and life insurance. Rate: $65.00–$75.00 per hour W2.

Qualifications

• Proficiency in Python and/or Scala for data engineering.
• Hands-on experience with AWS EMR and Glue.
• Experience with Kafka streaming and REST APIs; SQL and data warehousing knowledge.
• AI/ML engineering exposure is a plus.

Responsibilities

• Design, build, and maintain scalable data pipelines with Python/Scala.
• Operate data workflows on AWS EMR and Glue.
• Implement real-time data ingestion with Kafka streaming.
• Create and manage REST API integrations for data exchange.
• Optimize SQL queries and data models for analytics/ML use cases.
• Ensure data quality, reliability, and observability across pipelines.
• Collaborate with cross-functional teams for secure data solutions.

Skills

Python

Scala

Kafka

REST APIs

SQL

Data warehousing

ETL pipelines

Tools

AWS EMR

AWS Glue

Job description

Eliassen Group is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and platforms on AWS. The role focuses on batch and streaming data processing and analytics enablement for ML workloads.

Hybrid work arrangement with some onsite presence in McLean, VA is required; W2 consultants are offered a comprehensive benefits package including Medical, Dental, Vision, 401k with company matching, and life insurance. Rate: $65.00–$75.00 per hour W2.