Data Engineer

DFW Metroplex, TX

Full Time

About this role

At evolv Consulting, we are seeking to hire an experienced Data Engineer to join our team. If you’re a passionate self-starter, evolv is a great place to get ahead.
Responsibilities for this role include:
  • Leads the design of scalable big data platform/solutions used to ingest and process accurately scaled traffic data.
  • Build end-to-end solutions that enable business stakeholders, BI engineers, and analysts to self-serve their business intelligence needs.
  • Develop and automate large scale, high-performance, scalable platform (batch and/or streaming) to drive faster analytics.
  • Ability to design large-scale, complex applications and frameworks with excellent run-time characteristics such as low-latency, fault-tolerance, and availability.
  • Experience in building and maintaining custom frameworks to support engineering/analytics needs.
  • Knowledge of continuous integration, testing methodologies, TDD and agile development methodologies.
  • Partner with analytic consumers and data scientists to build and improve new/existing constructs and solve data engineering problems @ scale.
  • Good knowledge of Data formats (Parquet, ORC etc.) and consensus management systems.
  • Exposure to structured or unstructured storage and distributed caching.
  • Deploy inclusive data quality checks to ensure high quality of data.
  • Experienced Engineer or Contributor or Committer to open-source technologies is plus.
  • Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.
  • Structured thinking with ability to easily break down ambiguous problems and propose impactful solutions.
  • Attention to detail and effective verbal/written communication skills.
  • Other duties as assigned.


  • 3+ years of experience as a Data Engineer or in a similar role.
  • Experience with SQL, data modeling, data warehousing, and building ETL pipelines.
  • Bachelor’s degree or higher in a quantitative/technical field (e.g. Computer Science, Economics, Finance, Mathematics, Statistics, Engineering).
  • Relevant experience in one of the following areas: data science, data engineering, business intelligence or business analytics.
  • Proven track record of independently delivering big data solutions.
  • Ability to manage competing priorities simultaneously and drive projects to completion.

Apply to Data Engineer