> Markdown version of [/jobs/ext/1322523-data-engineering-practitioner](https://www.wearedevelopers.com/jobs/ext/1322523-data-engineering-practitioner). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # data engineering practitioner - **Company:** MMD Services - **Location:** Bolingbrook, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Information Engineering, Python (Programming Language), Scrum Methodology, Systems Development Life Cycle, Standard Sql, Cloud Platform System, Snowflake, Pyspark, Production Code, Databricks - **Published:** July 17, 2026 - **Apply:** https://www.dice.com/job-detail/11852bc2-0cfc-4d30-957d-09d2b28d3885 ## About the Role We''''''''re looking for a seasoned data engineering practitioner - someone who has spent meaningful years in the craft, not someone who recently pivoted into the data space * 7+ years of focused data engineering experience in enterprise or midsize-to-large organizations * AWS as your dominant cloud platform, with hands-on experience in the past couple of years - this role lives in the AWS-native dirty details * Strong Python and PySpark proficiency; the ability to write clean, production-grade code matters more than familiarity with any specific orchestration tool * Strong SQL - considered a baseline expectation at this level * Experience with analytical data warehousing; Redshift is the platform in use, though Databricks or Snowflake backgrounds with strong SQL and PySpark transfer well * A genuine understanding of SDLC principles and why they matter in a mature engineering organization - not just familiarity with the vocabulary * Demonstrated ability to lead and mentor technically without holding direct authority over the engineers you''''''''re guiding * Communication skills sufficient to hold a room with non-technical business stakeholders - this is not a heads-down-only environment * A stable employment history - this organization is looking for someone who builds things over time, not someone who moves every 12-18 mo ## Description * Serve as the technical lead for the data engineering team - guiding development decisions, unblocking engineers, and maintaining the quality bar without direct management authority * Lead future development efforts of a mature, high-visibility profitability product immediately post-launch * Participate in architecture design and represent the team in cross-functional architect committee * Mentor junior and mid-level engineers as a core part of your day-to-day - not a side responsibility * Partner with the Engineering Manager on sprint planning and bodies of work in a two-week Agile cadence * Interface with business stakeholders to communicate technical concepts clearly and credibly * Reinforce and model SDLC principles and enterprise engineering best practices across the team ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)