×
Register Here to Apply for Jobs or Post Jobs. X

Data Engineering Manager

Job in Murphy, Collin County, Texas, USA
Listing for: Miaz-Tech Llc
Full Time position
Listed on 2026-10-20
Job specializations:
  • Engineering
    Data Engineering, Data Science Manager
  • IT/Tech
    Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

As a Data Engineering Manager, you are responsible for leading and managing a team of Data Engineers while actively contributing to the development and implementation of data engineering solutions. Your primary focus will be to address pain points related to engineering culture, provide coaching and feedback to your direct reports, and stay up-to-date with industry trends in a way that benefits the company.

You will play a crucial role in driving employee retention, resourcing, learnings management, presales, feedback gathering, QA, and internal engineering processes.

Responsibilities

Team Leadership:You are responsible for a diverse team of data engineers, at different levels in their careers. You will foster their growth, and wellbeing of the team, as well as pairing with the team to solve interesting engineering challenges. You will work closely with data solutions managers and your director to ensure adequate and sustainable data engineering coverage across engagements.

  • Leads a team of data engineers, typically consisting of 5 to 8 direct reports
  • Advocates for and protects team time to contribute to internal projects
  • Pushes for sustainable technical architectural decisions in the team with a long-term approach in mind
  • Recruit, train, supervise and support the development of team members in data engineering functions
  • Conduct performance reviews under the guidance and in close collaboration with the functional associate director / director

Functional Leadership:You are responsible for working with clients to build guidelines for the infrastructure to support the storing and movement of data, and implement data engineering tools to support data-driven decision-making, and develop strategies to ensure consistency and security with their data products.

  • Has a good balance of technical knowledge and can coach other engineers and data solutions managers on their areas of expertise
  • Supports engineering projects on tier 1 client engagements with assistance from more senior Engineering management, translating client business questions and needs into engineering requirements
  • Advises clients on selection of data engineering tools, systems, and approaches
  • Selects, configures and implements engineering solutions and tools using best practices
  • Contributes advanced engineering skills and knowledge to client engagements
  • Contributes to internal and externally facing resources for data engineering teams (e.g. add to internal wiki, write a blog post, etc.)
  • Plans for sustainable growth of their team and builds a clear roadmap for milestones and impact; leads hiring for their team based on hiring plans provided by People Ops and Director

Project Delivery:You are responsible for improving core data engineering deliverables by supporting internal process reviews, recommending and implementing data engineering tools and technologies that best suit the client’s needs.

  • Directly supports day-to-day execution of work, while may need support in driving larger, strategic pieces
  • Is accountable within their team for the availability and reliability of the systems their team builds
  • Makes sure the team is prioritizing availability and quality vs. new feature development appropriately
  • Work collaboratively with other data functional teams such as data analytics, analytics engineering, and data solutions to achieve client goals
  • Guide a team in the successful and timely execution of project deliverables
  • Be accountable for the quality of your team’s work
Skills & Qualifications
Tools & Technologies
  • Programming languages (e.g. SQL, Python)
  • Cloud-based data warehouses (e.g., Snowflake, Google Big Query)
Technical Skills (Hard Skills)
  • Has a deep understanding of some the technical domains covered by the team and has an opinion on how a project should be moving forward
  • Solidly meets the level of a Senior Data Engineer
  • Can rapidly get up-to-speed on client needs and provide guidance on how to meet them.
  • Can help coach other Engineers and Data Solutions Managers (where needed) on why a feature is being built / architectural component is being introduced, what client problem it’s solving and the expected impact
  • Collaboration & Partnership:You can facilitate collaborative group activities and/or workshops with colleagues or external stakeholders.
  • Effective Communication:You reliably foster a culture of clear, concise, effective, audience-oriented communication for your team, other departments, and external stakeholders, ensuring those around you are actively listening as well as are…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary