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# Sr Data Engineer

- **Company:** MMD Services
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Code Review, Information Systems, Information Engineering, Python (Programming Language), Microsoft SQL Server, Systems Development Life Cycle, Standard Sql, Amazon Simple Notification Service (SNS), SQL Databases, SQL Server Integration Services, Snowflake, AWS Lambda, Event Driven Architecture, Build Management, Pyspark, Information Technology, AWS Glue, Amazon Simple Queue Service (SQS), Databricks, Microservices
- **Published:** November 5, 2026
- **Apply:** https://www.dice.com/job-detail/5e85e51f-538b-4769-a4e9-739277fef605

## About the Role

5+ years of data engineering experience, data-focused throughout (not a recent developer-to-data pivot)

 - Recent hands-on AWS experience within the last one to two years, deep in AWS-native services

 - AWS Lambda for microservices

 - Python and PySpark, with language proficiency weighing more than specific tool knowledge

 - Strong SQL, assumed as a baseline at this level

 - Analytical data warehousing: Redshift preferred. Databricks or Snowflake acceptable with strong SQL and PySpark and the ability to transfer quickly

 - Enterprise or midsize-to-large organization background with a genuine understanding of why SDLC discipline matters in a mature environment

 - Strong communication skills for stakeholder-facing situations

 - Experience mentoring and guiding engineers and influencing technical decisions without formal authority

 - Stable employment history

Preferred

 - AWS Glue, or the ability to pick it up quickly given strong PySpark

 - AWS Step Functions for complex orchestration

 - Event-driven architecture: S3 event notifications, SNS, SQS, and pub/sub patterns

 - Finance or profitability modeling domain background

 - SQL Server and SSIS background, helpful for legacy context

 - Bachelor's degree in Computer Science, Information Systems, or equivalent experience

## Description

We are seeking a Senior Data Engineer to join an established data engineering team and own complex technical problems end to end. The team is in the final phases of a high-visibility, multi-year profitability product that is a top priority for the business with a wide internal audience. The infrastructure and architecture are already in place on a modern, AWS-native platform. You will build and improve the pipelines behind this mature product, raise the quality of the work around you, and mentor other engineers. This is a highly capable individual contributor role with leadership through influence and no formal people management.

What You'll Do

 - Own data engineering solutions end to end, from design through build, testing, deployment, and operational support

 - Design and build AWS-native pipelines using Python, PySpark, and SQL

 - Lead technical design discussions, weigh trade-offs, and guide the team toward sound engineering decisions

 - Mentor other engineers, support onboarding, and review code and pull requests

 - Partner with product and business stakeholders to turn requirements into working solutions

 - Contribute to future development of the profitability product following go-live

 - Reinforce and model SDLC principles and enterprise engineering best practices