Data Engineer (Mid-Level)
Location: Chicago, IL (Hybrid – 3 days onsite)
Salary: ~$130K – $145K
We’re looking for a hands-on Data Engineer to build and maintain scalable data pipelines and support analytics and AI initiatives. This is a mid-level IC role focused on execution, not architecture or leadership.
Key Responsibilities
- Build end-to-end data pipelines on Azure Databricks
- Develop ETL/ELT and streaming pipelines using Python, SQL, and Spark
- Work with Delta Lake (Bronze/Silver/Gold) and optimize data models
- Ensure data quality, monitoring, and performance tuning
- Collaborate with data, BI, and product teams
- Contribute to CI/CD, testing, and best practices
Required Skills
- 3+ years of data engineering experience
- Strong Python, SQL, and Spark (PySpark)
- Hands-on with Databricks (Lakehouse, Delta Lake, Workflows, Notebooks)
- Experience with data modeling and pipeline development
- Familiarity with cloud platforms (Azure preferred)
- Understanding of CI/CD, version control, and data engineering best practices
Nice to Have
- Experience with ADF, ADLS, Azure DevOps
- Exposure to streaming, AI/ML, or data governance
- Experience in modern data platforms or migrations
Ideal Candidate
- Strong hands-on engineer (not architect/manager)
- Experience owning pipelines end-to-end
- Good problem-solving and communication skills
Pay: $104,790.40 - $145,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Application Question(s):
- Can you walk me through a data pipeline you built end-to-end in Databricks, including how you handled data quality, performance optimization, and monitoring?
- How have you implemented the Bronze/Silver/Gold architecture in Delta Lake, and what decisions did you make around schema design and transformation logic?
Experience:
- Databricks Expertise: 5 years (Required)
- Strong Python + PySpark: 5 years (Required)
- Advanced SQL Skills: 5 years (Required)
- Data Pipeline Development: 5 years (Required)
Location:
- Chicago, IL 60606 (Required)
Ability to Commute:
- Chicago, IL 60606 (Required)
Work Location: In person