Senior Data Engineer: GraphQL APIs & AWS Pipelines Remote
Eliassen Group
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Job summary
Eliassen Group is seeking a senior Data Engineer for a fully remote contract role focused on IAM initiatives. You will design and evolve GraphQL APIs and data pipelines supporting enterprise developer workflows, with emphasis on microservices on AWS and production monitoring.
The role requires 10+ years in data engineering, strong GraphQL expertise, PySpark/Spark, Snowflake, and extensive AWS experience. EST hours and a potential conversion are noted in the posting.
Qualifications
- 10+ years in data engineering and 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.
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
Tools
Job description
Eliassen Group is seeking a senior Data Engineer for a fully remote contract role focused on IAM initiatives. You will design and evolve GraphQL APIs and data pipelines supporting enterprise developer workflows, with emphasis on microservices on AWS and production monitoring.
The role requires 10+ years in data engineering, strong GraphQL expertise, PySpark/Spark, Snowflake, and extensive AWS experience. EST hours and a potential conversion are noted in the posting.
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