Data Engineer

Eliassen Group; Atlanta (GA); Remote; USD 110,000 - 124,000; Full time

Job summary

Eliassen Group is seeking a senior Data Engineer for a fully remote, contract role focused on building low-latency GraphQL APIs and data pipelines within Identity and Access Management. The position emphasizes microservices on AWS, production monitoring, and scalable data flows, aligned with EST hours.

Ideal candidates bring 10+ years of data engineering experience, expert GraphQL design skills, and deep AWS knowledge. W2 employment with benefits is offered; conversion may be possible.

Qualifications

• 10+ years of data engineering and backend 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 related 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.

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 Glue

AWS Lambda

AWS ECS

AWS DynamoDB

Snowflake

Spark

Data pipelines

Tools

GraphQL APIs

Job description

Data Engineer

Anywhere

Type: Contract

Category: Data

Industry: Financial Services

Workplace Type: Remote

Standard Hours: Open

Reference ID: JN -092026-108518

Date Posted: 09/08/2026

Shortcut: http://careers.eliassen.com/F3T6fF

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

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.

Experience Requirements

• 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.

About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmitive Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.