data engineering practitioner

MMD Services
Bolingbrook, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+1 more
Databricks

Job 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

Requirements

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

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