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MMD Services, Inc

AWS Data Engineer

MMD Services, Inc
Rosemont, IL $135k - $150k/yr Full time Posted 21d ago
Amazon Web Services AWS Aws Api Gateway Aws Glue Business Intelligence Cloud Cloud Computing Cloud Data Warehouse Data Architecture Data Engineer Data Integration Data Lake Data Pipeline Data Platform Data Processing Data Warehouse Database Databases Dynamodb ETL
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Job Description

MMD Services, Inc is building an enterprise data platform on AWS and needs a senior data engineer to help own pipelines and cloud warehouse solutions end to end. This is a hybrid role based in Rosemont, IL with 3 days onsite, operating as a lean team where collaboration is close and ideas move quickly. You will work independently while partnering with IT and cross-functional teams to keep critical analytics running and shape how the data engineering practice scales.

What you’ll do

  • Own enterprise-scale data pipelines and cloud data warehouse solutions from design through deployment.
  • Build and run cloud-based pipelines using modern workflow orchestration to power analytics workloads across the company.
  • Architect and optimize an Amazon Redshift data warehouse that supports business intelligence and reporting at scale.
  • Drive key ETL and data lake architecture decisions.
  • Design and build APIs and API Gateway integrations to connect systems and unlock org-wide data access.
  • Bring medallion architecture and modern data standards to life.
  • Contribute across the full delivery cycle: requirements, design, coding, testing, and deployment.
  • Troubleshoot and support production platforms the business relies on daily.
  • Identify broken or outdated components and lead improvements, speaking up with better approaches.
  • Mentor less experienced engineers and help set team priorities, with leadership driven by knowledge.
  • Help shape the data engineering practice as the company scales rapidly.

What you bring

  • Recent, hands-on experience building and supporting solutions on AWS, including IAM, S3, API Gateway, Glue, Lake Formation, Redshift, and relational or NoSQL databases such as RDS and DynamoDB.
  • Strong working knowledge of a modern orchestration tool (such as Airflow or Step Functions or similar) for scheduling and managing pipelines.
  • Proficiency in Python and PySpark for scalable data engineering.
  • Experience developing and integrating APIs, including API Gateway configuration.
  • Solid understanding of relational database concepts and data modeling best practices.
  • Familiarity with medallion-style layered architecture standards.
  • Stable, progressive career history showing depth in data engineering roles.
  • Strong analytical skills plus excellent written and verbal communication.
  • Comfort working independently with minimal supervision while collaborating effectively across teams.
  • Openness to supporting legacy systems alongside newer technologies.

Tools you’ll work with

  • AWS, IAM, S3, API Gateway, Glue, Lake Formation, Redshift, RDS, DynamoDB
  • Airflow, Step Functions
  • Python, PySpark

Compensation & benefits

Salary: USD 135,000 - 150,000 per year.

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Health insurance
  • Life insurance
  • Paid time off
  • Parental leave
  • Vision insurance

Nice to have

  • Exposure to AI or machine learning tooling within a data engineering context, such as feeding pipelines into ML models, working with AWS AI services like SageMaker, or supporting AI-driven analytics use cases.

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