Senior AWS Data Engineer: Scalable Pipelines

MMD Services

Rosemont (IL)

On-site

USD 125,000 - 180,000

Full time

2 days ago

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Job summary

MMD Services Inc. is seeking a Senior Data Engineer to own enterprise-scale data pipelines and cloud data warehouses. You will design, build, and support modern data infrastructure while collaborating with IT to advance data practices.

Responsibilities include architecting Redshift solutions, ETL, data lake design, API integrations, and mentoring peers in a lean, fast-moving environment near Chicago. Strong AWS and Python/PySpark skills are essential.

Qualifications

Hands-on experience building and supporting solutions on AWS, including IAM, S3, API Gateway, Glue or similar data integration services, Lake Formation, Redshift, and relational/NoSQL databases (RDS, 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 building scalable data engineering solutions.
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 similarly layered data architecture standards.
Stable, progressive career history demonstrating depth of experience in data engineering roles.
Strong analytical skills paired with excellent written and verbal communication.
Comfortable operating independently with minimal supervision, while collaborating effectively across teams.
Openness to supporting legacy systems alongside newer technologies.

Responsibilities

Own enterprise-scale data pipelines and cloud data warehouse solutions from design to deployment.
Build cloud-based pipelines using modern orchestration tools that power real analytics workloads across the company.
Architect and optimize a Redshift data warehouse that fuels business intelligence and reporting at scale.
Drive ETL and data lake architecture decisions. Your ideas on cataloging and lake formation will shape the standard, not just follow it.
Design and build APIs and API gateway integrations that connect systems and unlock data access across the org.
Bring medallion architecture and modern data standards to life.
Work shoulder to shoulder with IT and cross-functional teams. This is a lean group where every voice matters and good ideas move fast.
Take part in every phase of the build. Requirements, design, coding, testing, deployment.
Troubleshoot and support production platforms that the business depends on every day.
Spot what's broken or outdated and bring the fix, this team wants people who see a better way and speak up.
Mentor less experienced engineers and help set team priorities, leadership here is earned through knowledge, not just title.
Help shape the data engineering practice as the company scales at a rapid pace. Get in early and leave your fingerprint on how this team grows.