About the Role

We are a financial services company hiring a Data Engineering Manager to lead a small, high-impact team building the data infrastructure behind our loan performance, portfolio analytics, and operational reporting. This is a hands-on leadership role. You will write code, set engineering standards, and drive delivery — while also managing people and partnering with data scientists, analysts, and software engineers across the organization.

If you want a role where you can architect real systems, grow a team, and have a direct line to business outcomes, this is it.

What You’ll Do

Team Leadership

• Lead and mentor a team of data engineers and BI analysts, including performance feedback and career development.
• Own sprint planning, estimation, prioritization, and delivery tracking.
• Coordinate intake and stakeholder communication for data requests and roadmap planning.
• Set and enforce engineering standards for code quality, testing, documentation, and production readiness.
• Partner with leadership on hiring, team structure, and quarterly planning.

Data Pipelines and Integration

• Design, build, and maintain ETL/ELT pipelines from transactional systems, internal services, and third-party APIs.
• Build automated, scalable data workflows using Apache Airflow (MWAA) or similar orchestration tools.
• Implement incremental processing, change data capture, and data quality checks.
• Support analytics use cases including loan performance metrics, portfolio analysis, and risk modeling.

Data Warehouse and Modeling

• Build and manage data warehouse environments, primarily AWS Redshift and RDS PostgreSQL.
• Design dimensional and normalized data models for BI reporting and analytics.
• Optimize schema design, query performance, and materializations for analytical workloads.
• Lead data validation, profiling, reconciliation, and quality initiatives.

Reliability and DevOps

• Implement CI/CD and infrastructure-as-code practices for data workflows and environments.
• Build monitoring and alerting for data jobs, orchestration, and warehouse health.
• Participate in production support, incident response, and on-call rotations as needed.

What We’re Looking For

• 3-5 years leading or managing data engineering and/or BI teams.
• 5-8 years of hands-on data engineering experience in analytics-driven environments.
• Strong SQL and Python skills for data transformation, modeling, and troubleshooting.
• Practical experience with modern orchestration and transformation tools (Airflow, SQLMesh, or similar).
• Solid understanding of data warehouse modeling patterns (dimensional and normalized).
• Experience with data quality validation, monitoring, and production support.
• Familiarity with cloud data platforms, AWS strongly preferred.
• Comfortable driving sprint-based execution and aligning cross-functional stakeholders.

Our Tech Stack

You will work directly with many of these tools:

• AWS Redshift, RDS PostgreSQL
• Apache Airflow on MWAA
• SQLMesh
• AWS Glue Data Catalog / DataZone
• QuickSight, Periscope
• SageMaker
• Python

Pay: $170,000.00 - $180,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Parental leave
• Vision insurance

Application Question(s):

• Are you located in the Chicagoland area, residing in the state of IL?
• Will you now, or in the future, require employer sponsorship to work in the United States?
• This position requires three days per week onsite at our Chicago, IL office. Do you confirm that you are able to meet this requirement?
• Do you have experience with SQL?
• Do you have experience with Apache Airflow on MWAA
• Do you have experience with AWS Glue Data Catalog / DataZone?
• Do you have exrience with QuickSight, Periscope?
• Do you have experience with SageMaker?
• Do you have experience with Python?
• Are you willing to undergo a background check, in accordance with local law and regulations?

Education:

• Bachelor's (Preferred)

Experience:

• Team Leadership and development: 2 years (Required)

Ability to Commute:

• Chicago, IL 60603 (Required)

Work Location: Hybrid remote in Chicago, IL 60603