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# Data Engineer

- **Company:** Eliassen Group
- **Location:** Durham, NC, United States
- **Experience:** Expert
- **Salary:** $114,400.0 - $156,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Continuous Integration, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Mart, Data Vault Modeling, Data Warehousing, DevOps, Identity and Access Management, Job Scheduling, Python (Programming Language), Apache Maven, Object-Oriented Software Development, Performance Tuning, Scrum Methodology, Ansible, SQL Databases, Scripting, Sql Optimization, Snowflake, Cloudformation, Data Lakes, Functional Programming, Cloudwatch, Docker, Jenkins, Control M
- **Published:** October 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/c1faed6e-38e6-4592-980d-161390553066/senior-data-engineer

## About the Role

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., * 10+ years of experience with a Bachelor's or Master's degree in a technology-related field.
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 * 6+ years in data warehousing and data mart concepts and implementations.
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 * 4+ years building ELT/ETL pipelines with Snowflake.
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 * 4+ years using AWS services including EC2, IAM, S3, EKS, KMS, CloudWatch, and CloudFormation.
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 * 1+ years with object-oriented programming in Python or Java.
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 * Advanced SQL or SnowSQL knowledge.
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 * Hands-on SQL query optimization and performance tuning.
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 * Experience with job scheduling tools such as Control-M.
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 * Proven data analysis and data modeling skills, including Dimensional or Data Vault.
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 * Experience with Docker and Kubernetes.
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 * Experience with DevOps, CI/CD, and related tooling such as Maven, Jenkins, Stash, Ansible, and Docker.
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 * Experience with Agile methodologies such as Kanban or Scrum (preferred).
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 * Ability to handle ambiguity and work in a fast-paced environment.
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 * Effective interpersonal skills to collaborate with multiple teams.
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 * Strong Snowflake and AWS expertise, including S3, Lambda, and CloudFormation.
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 * Python scripting experience supporting data engineering workflows.
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 * Leadership experience (preferred).
\n, * Bachelor's or Master's degree in a technology-related field such as Engineering or Computer Science.

## Description

Our client seeks a senior Data Engineer to design, build, and maintain operational and analytical capabilities across modern data platforms. The role focuses on Snowflake, AWS, and Python to enable scalable data lakes and warehousing. You will drive solution design, data analysis, production rollout, and support while shaping a growing data infrastructure.