Mid-level Data Engineer / Python / Chicago /Hybrid
Chicago, Illinois
Hybrid
Full Time
$80k - $120k
An established insurance organization in Bedford Park, IL is seeking a full-time Junior–Mid Level Data Engineer to join their growing team. This role offers hands-on experience with modern data technologies such as Data Lakes, Python, SQL, and Azure-based tools. The position begins with 90 days fully onsite, transitioning afterward to a hybrid model (3 days onsite / 2 days WFH).
This is a strong opportunity for a motivated data engineer looking to grow their technical skill set within a supportive environment. You’ll gain exposure to cloud-based data architecture, collaborate with experienced engineers, and help build efficient, scalable data solutions that influence key business operations. This organization values work-life balance and professional development, making it a great place to elevate your data engineering career.
Required Skills & Experience
· Data Lakes experience
· Python
· SQL
Desired Skills & Experience
· Azure Synapse
· Azure Data Lakes
What You Will Be Doing
Tech Breakdown
· 40% Python
· 40% SQL
· 20% Data Lake / Azure tools
Daily Responsibilities
· 50% building and maintaining data pipelines
· 30% managing and optimizing data lake environments
· 20% cross-team collaboration to support business data needs
The Offer
This is a strong opportunity for a motivated data engineer looking to grow their technical skill set within a supportive environment. You’ll gain exposure to cloud-based data architecture, collaborate with experienced engineers, and help build efficient, scalable data solutions that influence key business operations. This organization values work-life balance and professional development, making it a great place to elevate your data engineering career.
Required Skills & Experience
· Data Lakes experience
· Python
· SQL
Desired Skills & Experience
· Azure Synapse
· Azure Data Lakes
What You Will Be Doing
Tech Breakdown
· 40% Python
· 40% SQL
· 20% Data Lake / Azure tools
Daily Responsibilities
· 50% building and maintaining data pipelines
· 30% managing and optimizing data lake environments
· 20% cross-team collaboration to support business data needs
The Offer
- Bonus eligible
- Medical, Dental, and Vision Insurance
- Vacation Time
- Stock Options