Database Developer

Midtown Athletic Clubs•Chicago, IL

10h•$100,000 - $120,000•Hybrid

About The Position

Midtown is seeking a Database Developer to join our world-class team at our Chicago headquarters. The team is based in our HQ office in Chicago (3611 N Kedzie Ave.) and supports all club locations. The role is hybrid work-from-home and required to also come in the office in Chicago 2 days per week (Monday/Tuesday) The position is based in the Chicago area and will involve very limited travel to Midtown club locations About Our Company We work at Midtown to inspire people to transform their lives—and we do our job well. Our members stay longer than any other major athletic club chain in North America because we are committed to providing resort-like environments, personal attention, and strong communities at every one of our clubs. We believe all three of those pillars start with attracting and growing rock star talent at every level of our organization. Who We Want We are looking for people that share our core values: kind individuals who want to win together, see things as the glass half full, are passionate about helping others, and strive to always be better than yesterday. The Position Our Database Developer collaborates with software and data engineers to design, build, and maintain robust database solutions for our organization. This role balances technical expertise with problem-solving skills to deliver efficient data integration for APIs, microservices, and data orchestration pipelines using our modern cloud-based architecture.

Requirements

BS in Engineering, Information Technology, or equivalent work experience.
3–5 years of professional experience in database development within a Microsoft / Azure SQL environment.
Strong expertise in T-SQL and Azure SQL design, development, optimization, and analysis.
Fundamental knowledge of RDBMS principles, normalization, data integrity, and indexing strategies.
Hands-on experience with data orchestration tools (such as Azure Data Factory) and ETL processes within a cloud environment.
Proficiency with SQL Server Management Studio, Azure Data Studio, Azure Data Factory, and Azure DevOps.
Strong analytical abilities, attention to detail, and excellent communication skills for collaborating with cross-functional engineering teams.
Eager to work with multiple teams and projects at the same time.

Nice To Haves

Experience with Databricks (workspace management, clusters/jobs, notebooks).
Experience writing Python in Databricks (PySpark for data processing, notebook development, job orchestration, and performance tuning within the platform).

Responsibilities

Analyze organizational needs to design effective SQL Server database systems, algorithms, and core objects, including tables, stored procedures, and triggers.
Collaborate with software and data engineers to integrate database solutions with backend APIs, microservices, and data warehouses.
Design, build, and support ETL pipelines to ensure accurate and auditable data movement between services.
Execute performance and regression testing, monitor and optimize queries, and troubleshoot defects and bottlenecks.
Produce and maintain comprehensive database documentation and run‑books to support ongoing operations and deployments.