Senior Data Engineer

Midtown is seeking a Senior Data Engineer to join our world‑class team at our Chicago headquarters. The team is based in our HQ office at 3611 N Kedzie Ave. and supports all club locations. The role is hybrid work‑from‑home and requires coming into 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 The Senior Data Engineer is a key leader in advancing Midtown’s enterprise data architecture and driving innovation across reporting, machine learning, and AI initiatives. They will design and implement scalable, secure, and high‑performing data pipelines and infrastructure that support a wide range of data‑driven use cases. Collaborating closely with analysts and business stakeholders, they will ensure the availability and usability of data for analytics and modeling, while contributing to the organization’s long‑term data strategy. This role is instrumental in enabling actionable insights and fostering a modern, resilient data ecosystem. The Primary Responsibilities Are Architect and evolve data infrastructure to support enterprise reporting, ML, and AI use cases. Design, build, and maintain data pipelines that ingest, transform, and deliver data from diverse sources. Implement best practices for data governance, security, and compliance. Continuously improve data engineering processes, including automation, orchestration, and monitoring. Mentor and guide engineering peers on architecture standards and development practices. Collaborate with analysts and stakeholders to ensure data usability and accessibility. Stay current with industry trends in cloud platforms, AI/ML tooling, and the modern data stack. Support reporting and visualization efforts through semantic layers and curated datasets. Qualifications & Experience Bachelor’s degree in Engineering, Information Technology, or equivalent experience. 5+ years of experience designing and implementing data solutions on Microsoft Azure (e.g., Azure Data Factory, Databricks, Power Platform). Strong proficiency in SQL, Python, and cloud‑native data tools. Experience with data modeling, ETL/ELT pipelines, and modern data warehousing. Familiarity with ML/AI workflows (e.g., feature engineering, model deployment, data versioning) is a plus. Experience with BI tools such as Power BI; report writing experience is a plus. Working knowledge of agile development methodologies. Proficiency with collaboration tools (e.g., Azure DevOps, JIRA, MS Teams). Strong communication, problem‑solving, and multitasking skills. Eager to work with multiple teams and projects at the same time. Associate Benefits Complimentary club membership Discounts on Midtown products and services Access to hundreds of free courses for professional development Health insurance for eligible full‑time associates (30+ hours a week) Salary Range $130,000 – $150,000. The actual compensation will depend on experience, and/or additional skills you bring to the table. Benefits Please refer to the link here for a copy of benefits and perks offered by Midtown for our full and part‑time associates. You may also visit: https://careers.midtown.com/about-us/benefits/ MIDTOWN is an Equal Opportunity Employer. Seniority level Mid‑Senior level Employment type Full‑time Job function Information Technology Industry Wellness and Fitness Services Referrals increase your chances of interviewing at Midtown Athletic Clubs by 2×. #J-18808-Ljbffr