USCA - Data Engineer - Entry Level @ InterWorks
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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.