Sr Data Engineer

Equity Residential offers a Senior Data Engineering role based in Chicago, IL (hybrid), with a compensation range of $155,000 to $189,000 per year and a discretionary 13% annual bonus. The schedule runs onsite Monday through Thursday, with the option to work remotely on Fridays.

In this position, you’ll build and run a centralized data platform and enterprise data model, partnering across teams to deliver reliable pipelines, storage solutions, and data transformations that support downstream analytics and machine learning workflows.

Responsibilities

• Lead the design, architecture, and implementation of complex data pipelines and storage solutions
• Mentor teammates and peers by providing technical guidance and expertise
• Evaluate and recommend new data technologies and tools to improve efficiency
• Collaborate with data scientists to optimize and scale machine learning workflows
• Implement advanced data transformations and aggregation processes
• Drive data engineering best practices and standards across the team
• Participate in cross-functional project planning and execution
• Manage and optimize cloud resources and costs tied to data processing
• Lead efforts to improve data quality, lineage, and metadata management
• Work with business stakeholders to understand and prioritize data needs for strategic initiatives

Requirements

• 6+ years of relevant experience in data engineering or a related field
• Advanced proficiency in Python and SQL; expert-level proficiency in alternative general-purpose programming languages is considered
• Extensive experience with data orchestration tools such as Prefect or Airflow
• Strong experience with data transformation and modeling tools such as dbt and data warehouse technologies including Snowflake and BigQuery, or data processing frameworks such as Apache Spark
• Extensive experience with version control systems and CI/CD tools
• Hands-on experience with a major cloud platform required, with Azure preferred
• Leadership skills for mentoring and guiding junior team members
• Problem-solving skills for complex data engineering challenges
• Effective communication for collaboration with cross-functional teams
• Project management abilities for overseeing multiple data projects

Technologies

• Python, SQL
• Prefect, Airflow
• dbt
• Snowflake, BigQuery
• Apache Spark
• Azure
• Version control systems, CI/CD tools

Work Schedule and Location

Chicago, IL (hybrid). Onsite Monday through Thursday, remote work available on Fridays.

Physical and Visual Activities

• Ability to hear and speak well enough to converse verbally over the phone and in-person
• Ability to interpret, evaluate, and communicate detailed written or verbal instructions accurately
• Ability to see well enough to use a computer and read written communications
• Ability to lift, push, pull, or carry up to 15 pounds for dissemination of documents and materials
• May be required to climb stairs depending on the property structure
• Reasonable accommodation will be provided as required by law for otherwise qualified employees with a known disability

Education

Bachelor’s degree in Computer Science, Software/Computer Engineering, Mathematics or related discipline (Master’s degree is mentioned but the details are truncated in the provided posting).