Qureos

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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

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