Data Engineer

Do you get a thrill from solving puzzles, making messy data make sense, or building systems that just work? Do you love talking shop about pipelines and cloud platforms—but also want to collaborate with kind, curious people who care about doing great work together? You might be a great fit for our Data Engineering team. 

At InterWorks, we help clients turn their data into something powerful, useful, and even beautiful. As a Data Engineer, you’ll be right in the middle of that mission—designing robust data systems, unifying messy data sources, and building pipelines that fuel meaningful insights. You’ll work alongside analysts and consultants, helping organizations move from scattered data to smart, scalable infrastructure. Want to work somewhere where smart people care deeply 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 OKC, Tulsa, or Stillwater or remote work near the Raleigh-Durham North Carolina area is preferred. 

Salary Range: $90,000–150,000, depending on experience and qualifications 

What You’ll Do 

• Build modern, scalable data pipelines that keep the data flowing—and keep our clients happy 
• Design cloud-native infrastructure and automation that supports analytics, AI, and machine learning 
• Unify and wrangle data from all kinds of sources: SQL, APIs, spreadsheets, cloud storage, and more 
• Develop ETL/ELT frameworks that improve code quality and make things easier for your teammates 
• Apply strong data modeling principles to support everything from dashboards to data science 
• Collaborate closely with other InterWorkers and client teams to understand what they really need 
• Write clear documentation, contribute to design decisions, and share what you learn 
• Bring a thoughtful, problem-solving mindset to every project 

What You’ll Need 

Must-Haves

• Solid SQL skills (and the curiosity to keep leveling up) 
• Strong experience with ETL/ELT workflows (GUI tools or code-based—either works!) 
• A clear understanding of data modeling best practices 
• Deep understanding of data quality, governance, and observability principles and practices 
• Working knowledge of DevOps concepts 
• Experience with CI/CD pipelines 
• Excellent communication skills—you can explain tech to humans 
• A passion for delivering smart, thoughtful, client-centered solutions 
• A love for learning new tools, frameworks, and approaches 
• 5+ years of professional experience in a data engineering or technical consulting role 
• Flexibility and comfort in fast-changing environments 

Nice-to-Haves

• Experience with cloud platforms (AWS, Azure, GCP) 
• Familiarity with tools like Matillion, Fivetran, dbt, or Snowflake 
• Exposure to modern data warehouses: BigQuery, Redshift, Databricks, etc. 
• Knowledge of Python or scripting for automation 
• An interest in AI and how it’s shaping the future of data engineering 
• A background in software engineering or integration work