USCA - Data Engineer - Entry Level
@ InterWorks

Oklahoma City, Oklahoma, United States
On Site
Posted 12 days ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXXXXX****** @interworks.com
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Job Details

Data Engineer - Entry Level

Do you love solving puzzles, getting messy data to behave, or figuring out how things fit together? Join our Data Engineering team at InterWorks where you'll learn to design and build data systems, wrangle data, and create pipelines that drive insights.

What You’ll Do

  • Support design and development of modern, scalable data pipelines
  • Work with various data sources like SQL, spreadsheets, and APIs
  • Apply data modeling principles for dashboards and data science
  • Assist with ETL/ELT processes to ensure quality and reliability
  • Document work clearly and communicate ideas across audiences
  • Collaborate with teammates and clients to deliver effective solutions
  • Bring curiosity, adaptability, and a problem-solving mindset

What You’ll Need

Must-Haves: Basic SQL skills, familiarity with ETL/ELT workflows, understanding of data modeling, strong communication, detail-oriented approach, adaptability, and a willingness to learn.

Nice-to-Haves: Exposure to cloud platforms (AWS, Azure, GCP), experience with ETL tools like Matillion, Fivetran, or dbt, familiarity with modern data warehouses, basic scripting (Python or similar), and curiosity about AI.

Why InterWorks

InterWorks is a people-focused tech consultancy. Here, smart people care deeply, support each other’s growth, and pursue innovation together. Join a team that values unique contributions and a collaborative environment.

Location Preferences

Offices available in Portland, OKC, Tulsa, or Stillwater. Remote work may be possible depending on the situation.

Key skills/competency

  • SQL
  • ETL
  • Data Pipelines
  • Cloud Platforms
  • Data Modeling
  • Python
  • Data Warehousing
  • Communication
  • Problem-Solving
  • Adaptability

How to Get Hired at InterWorks

🎯 Tips for Getting Hired

  • Customize your resume: Highlight SQL, ETL, and data skills.
  • Research InterWorks: Understand the firm’s tech consultancy approach.
  • Showcase projects: Demonstrate pipeline and data modeling experience.
  • Practice technical interviews: Focus on data problems and SQL challenges.

📝 Interview Preparation Advice

Technical Preparation

Review SQL basics and query optimization.
Practice ETL pipeline construction exercises.
Study cloud service fundamentals from AWS and GCP.
Explore data modeling with real datasets.

Behavioral Questions

Describe a challenging data project you solved.
Explain your process when facing unexpected issues.
Discuss teamwork in solving technical puzzles.
Share examples of adapting to new methods quickly.

Frequently Asked Questions