Data Engineer

Data Engineer

Anywhere

Type:
Contract

Category:
Data

Industry: Financial Services

Workplace Type:
Remote

Standard

Hours:

Open

Remote

Our client seeks a senior Data Engineer to help launch a new initiative within Identity and Access Management. The contractor will build and evolve low-latency GraphQL APIs and data pipelines that support developer workflows across the enterprise. The role emphasizes microservices on AWS, data engineering fundamentals, and production monitoring. The team consists of two FTEs and this senior contractor, with one interview round and adherence to Eastern Time working hours.

There is a possibility for conversion.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $80.00 to $90.00/hr. w2

• Design, build, and maintain low-latency GraphQL APIs used in critical developer runtime flows.
• Develop and enhance data pipelines using PySpark or Apache Spark, Snowflake, and AWS Glue.
• Implement microservices on AWS using Lambda, ECS, DynamoDB, and related services.
• Ingest, transform, and serve data to power API responses with strong data modeling and quality practices.
• Set up monitoring, observability, and alerting for APIs, data jobs, and microservices.
• Collaborate with IAM stakeholders to support an agentic risk-identification initiative.
• Contribute to architecture, security, and performance reviews for cloud-native services.
• Work within EST hours in a fully remote environment and participate in a streamlined interview process.

• 10+ years in data engineering and full-stack or backend service development.
• Hands‑on expertise with GraphQL API design and implementation.
• Strong proficiency with PySpark or Scala/Spark, batch processing, and AWS Glue.
• Experience with Snowflake and building scalable data pipelines.
• Advanced AWS experience focused on Lambda, ECS, DynamoDB, and associated services.
• Prior senior-level ownership in cloud environments with production monitoring and reliability.
• Background delivering low‑latency, highly available microservices at scale.
• Ability to operate in a small, high-impact team and augment existing pipelines.

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position.

All AI‑assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to…