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Closed on September 6, 2026.
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Senior Data Engineer
Senior
Apache Airflow
API
AWS
Business Intelligence
CloudFormation
Data Analytics
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Warehouse
Dynamodb
ETL
Infrastructure As Code
Redshift
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Job Description
MMD Services, Inc is hiring a Senior Data Engineer for a hybrid role based in Rosemont, IL. In this position, you will own enterprise-scale data pipelines and cloud data warehouse solutions on AWS, spanning design, implementation, and ongoing production support.
Key Responsibilities
- Take ownership of enterprise-scale data pipelines and cloud data warehouse solutions from design through deployment, with a direct impact on how the business operates
- Build AWS-based pipelines using modern orchestration tooling to support real analytics workloads across the company
- Architect and optimize an AWS Redshift data warehouse for business intelligence and reporting at scale
- Drive ETL and data lake architecture decisions, including standards for cataloging and lake formation
- Design and implement APIs and API gateway integrations to connect systems and improve data access across the organization
- Deliver medallion architecture and modern data standards in practice
- Collaborate closely with IT and cross-functional teams in a lean environment where ideas move quickly
- Participate across the build lifecycle, including requirements, design, coding, testing, and deployment
- Troubleshoot and support production data platforms used daily by the business
- Identify broken or outdated components and implement improvements
- Mentor less experienced engineers and help set team priorities through demonstrated knowledge
- Contribute to the evolution of the data engineering practice as the company scales rapidly
Required Qualifications
- Recent, hands-on experience building and supporting AWS solutions, including IAM, S3, API Gateway, Glue (or similar), Lake Formation, Redshift, and relational or NoSQL databases such as RDS and DynamoDB
- Strong working knowledge of a modern workflow orchestration tool for scheduling and managing data pipelines (Airflow, Step Functions, or similar)
- Proficiency in Python and PySpark for scalable data engineering development
- Experience developing and integrating APIs, including API gateway configuration
- Solid understanding of relational database concepts and data modeling best practices
- Familiarity with medallion-style or layered data architecture standards
- Demonstrated, stable and progressive career history with depth in data engineering roles
- Strong analytical skills and excellent written and verbal communication
- Ability to operate independently with minimal supervision while collaborating effectively across teams
Technical Environment
- AWS, IAM, S3, API Gateway, Lambda, Glue, Lake Formation, Redshift, DynamoDB, RDS
- Airflow, Terraform, CloudFormation
- Python, PySpark
- API, Step Functions
Compensation
$130,000.00 - $150,000.00 per year
Benefits
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Professional development assistance
- Vision insurance
Work Location
Hybrid remote in Rosemont, IL 60018