Do you love solving puzzles, getting messy data to behave, or figuring out how things fit together? Do you want to sharpen your skills in data pipelines and cloud platforms while collaborating with kind, curious teammates who love doing great work together? You might be a great fit for our Data Engineering team.

At InterWorks, we help clients turn data into something powerful, useful, and even beautiful. As a Junior Data Engineer, you’ll be learning right in the middle of that mission—helping design and build data systems, wrangle messy sources, and create pipelines that power insights. You’ll work under the guidance of experienced engineers and consultants, growing your technical toolkit while making a real impact on client projects. Want to work somewhere where smart people care deeply, help each other grow, and get things done with a little style? You’ve come to the right place.

Location Preferences:
We’d love for you to join us from one of our offices in Portland, OKC, Tulsa, or Stillwater. Remote work may be possible depending on the situation, let’s chat.

Salary Range: $65,000–90,000, depending on experience and qualifications

What You’ll Do

Support the design and development of modern, scalable data pipelines
Work with all kinds of data sources—SQL, spreadsheets, APIs, and more—to help unify client data
Learn to apply data modeling principles that support everything from dashboards to data science
Assist with ETL/ELT processes and frameworks that improve quality and reliability
Document your work clearly and communicate ideas to both technical and non-technical audiences
Collaborate with teammates and clients to understand what’s needed—and then help deliver it
Bring curiosity, adaptability, and a problem-solving mindset to each project

What You’ll Need

Must-Haves

Basic SQL skills (and the drive to get better)
Familiarity with ETL/ELT workflows (GUI tools or code-based)
Understanding of data modeling concepts and data formats
Strong communication skills—you can explain clearly and ask good questions
A detail-oriented, problem-solving approach
Adaptability in changing situations
A willingness to learn from senior engineers and invest in your own growth

Nice-to-Haves

Exposure to cloud platforms (AWS, Azure, GCP)
Experience with ETL tools like Matillion, Fivetran, or dbt
Familiarity with modern data warehouses: Snowflake, Databricks, BigQuery, Redshift, etc.
Basic scripting knowledge (Python or similar)
Interest in software engineering or integration work
Curiosity about AI and how it’s shaping the future of data engineering