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Eliassen Group

Durham / Global

Data Engineer

  • $75.768 - $82.656

Job Summary

Salary Range:
$75.768 - $82.656
Apply Now

Job Description

Hybrid two weeks onsite a month in either Merrimack, NH or Durham, NC

We are seeking a Senior Data Engineer to build scalable data solutions within a highly collaborative technology team. The role focuses on Oracle PL/SQL, SQL scripting, ETL with Informatica, and data warehousing with Snowflake as well as Python/Java API. The position values collaborative delivery, sound data modeling, in this role, you will design, build, and optimize scalable data solutions that power analytics platforms. You’ll work closely with cross‑functional partners in an Agile environment, with a strong emphasis on quality, performance, and continuous improvement.

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: $55.00 to $60.00/hr. w2

Responsibilities

Design, develop, and maintain robust data engineering solutions that support enterprise‑scale analytics and reporting

Build and optimize Oracle PL/SQL code, complex SQL scripts, and database objects with a focus on performance tuning

Develop and support ETL workflows , primarily using Informatica , to move and transform large datasets

Contribute to data warehouse and data mart solutions, including platforms such as Snowflake

Apply strong data modeling techniques, including quantitative and multi‑dimensional analysis

Analyze data to identify gaps, trends, and quality issues, and propose effective technical solutions

Partner with product owners, analysts, and engineers to deliver high‑quality, scalable data solutions

Participate in Agile ceremonies and contribute to iterative development using SCRUM or Kanban practices

Support DevOps and CI/CD practices to improve reliability and deployment efficiency

Experience Requirements

6+ years of proven experience developing high‑quality data engineering solutions. Prior software development experience within the financial services industry is highly desired as well as:

Strong expertise in:

Oracle PL/SQL and advanced SQL scripting

Database performance tuning and optimization

Data warehousing concepts and implementations (e.g., Snowflake)

Demonstrated ability to independently assess technical challenges, evaluate impact, and deliver innovative solutions

Excellent analytical, problem‑solving, and communication skills

Agile delivery experience with Kanban or Scrum (preferred).

Beginner proficiency with Java, Python, REST APIs, and AWS (preferred).

Nice to Have

Beginner to intermediate experience with Java, Python, REST APIs, and AWS

Experience with DevOps and CI/CD tools such as Maven, Jenkins, Git, and Docker

Hands‑on experience working in Agile development environments

Education Requirements

Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience

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