Senior Data Engineer - GraphQL & AWS (Remote)

Eliassen Group

Little Rock (AR)

Remote

USD 110,000 - 124,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) with company matching
Life insurance

Job summary

Eliassen Group is seeking a senior Data Engineer for a remote, contract role targeting a new IAM initiative. You will build low-latency GraphQL APIs and data pipelines, focusing on microservices on AWS and robust production monitoring.

The project involves working in EST hours with a small, focused team and potential conversion. Expect 10+ years in data engineering, hands-on GraphQL experience, and strong skills with PySpark, Snowflake, and AWS services.

Qualifications

  • 10+ years in data engineering and backend development.
  • Hands-on with GraphQL API design and implementation.
  • Proficiency with PySpark/Scala Spark, batch processing, and AWS Glue.

Responsibilities

  • Design, build, and maintain low-latency GraphQL APIs used in critical developer runtime flows.
  • Develop and enhance data pipelines using PySpark or 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 / Spark
Snowflake
AWS Glue
AWS Lambda
AWS ECS
DynamoDB
Data pipelines
Production monitoring
Cloud microservices

Tools

AWS

Job description

Eliassen Group is seeking a senior Data Engineer for a remote, contract role targeting a new IAM initiative. You will build low-latency GraphQL APIs and data pipelines, focusing on microservices on AWS and robust production monitoring.

The project involves working in EST hours with a small, focused team and potential conversion. Expect 10+ years in data engineering, hands-on GraphQL experience, and strong skills with PySpark, Snowflake, and AWS services.

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