Senior Data Engineer: GraphQL, AWS & Pipelines (Remote)

Eliassen Group; Lincoln (NE); On-site; USD 110,000 - 124,000; Part time

Benefits offered by this job

Medical benefits

401k with company match

Life insurance

Dental and Vision

Job summary

Eliassen Group is seeking a senior Data Engineer for a remote, contract role to help launch an IAM initiative. You will design and evolve low-latency GraphQL APIs and data pipelines across the enterprise, building microservices on AWS and robust data models.

Expect EST hours and a collaborative, two-FTE team with one interview round and potential conversion. Candidates should have 10+ years in data engineering, strong PySpark/Scala, Snowflake, AWS Glue, and production monitoring experience in

Qualifications

• 10+ years in data engineering and backend services.
• Hands-on with GraphQL API design and implementation.
• Experience building low-latency data pipelines on AWS.

Responsibilities

• 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.

Skills

GraphQL API design

PySpark

AWS Lambda/ECS/DynamoDB

Snowflake

AWS Glue

Data pipelines

Tools

Spark

Job description

Eliassen Group is seeking a senior Data Engineer for a remote, contract role to help launch an IAM initiative. You will design and evolve low-latency GraphQL APIs and data pipelines across the enterprise, building microservices on AWS and robust data models.

Expect EST hours and a collaborative, two-FTE team with one interview round and potential conversion. Candidates should have 10+ years in data engineering, strong PySpark/Scala, Snowflake, AWS Glue, and production monitoring experience in