USCA - Data Engineer - Entry Level @ InterWorks
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Job Details
Overview
At InterWorks, as an Entry Level Data Engineer, you will learn to design and build data pipelines, wrangle messy data sources, and create systems that produce actionable insights. You will work with experienced engineers under a collaborative and supportive environment.
What You’ll Do
- Support design and development of scalable data pipelines
- Work with various data sources, including SQL, spreadsheets, and APIs
- Apply data modeling principles for dashboards and data science
- Assist with ETL/ELT processes and quality improvement frameworks
- Document work and effectively communicate with technical and non-technical audiences
- Collaborate with teammates and clients to deliver needed solutions
- Bring curiosity, adaptability, and a problem-solving mindset to projects
What You’ll Need
Must-Haves: Basic SQL skills, familiarity with ETL/ELT workflows, understanding of data modeling concepts, strong communication, detail orientation, adaptability, and willingness to learn from senior engineers.
Nice-to-Haves: Exposure to cloud platforms (AWS, Azure, GCP), experience with ETL tools (Matillion, Fivetran, dbt), familiarity with modern data warehouses (Snowflake, Databricks, BigQuery, Redshift), basic scripting (Python or similar), interest in software engineering and integration, and curiosity about AI in data engineering.
Location and Compensation
You may work from one of our offices in Portland, OKC, Tulsa, or Stillwater. Remote work may be considered. Salary ranges from $65,000 to $90,000, depending on experience.
About InterWorks
InterWorks is a people-focused tech consultancy that empowers clients with tailored, collaborative solutions. Join a team where smart people support each other to grow and make a real impact.
Key skills/competency
- SQL
- ETL/ELT
- Data Pipelines
- Data Modeling
- Scripting
- Cloud Platforms
- Modern Data Warehouses
- Communication
- Problem-solving
- Collaboration
How to Get Hired at InterWorks
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant SQL and ETL experience.
- Research InterWorks: Understand their culture and projects.
- Prepare examples: Demonstrate problem-solving in data contexts.
- Practice communication: Be ready to discuss technical and soft skills.