Sr. Data Engineer

DFW Metroplex, TX

Full Time

About this role

At evolv Consulting, we are seeking to hire an experienced Senior 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.
  • Bring together large, complex and sparse data sets to meet functional and non-functional business requirements via design and implementation of effective data tools alongside data scientist team members to help them in building, optimizing and tuning our product.
  • Integrate new data management technologies and software engineering tools into existing structures.
  • 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.
  • Design, construct, install, test and maintain highly scalable data pipelines with state-of-the-art monitoring and logging practices.
  • 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 at a large 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.
  • Use a variety of languages, tools and frameworks to marry data and systems together.
  • Recommend ways to improve data reliability, efficiency and quality.
  • Other duties as assigned.

Requirements

  • 8+ years of experience as a Senior Data Engineer or similar role.
  • Bachelor’s degree or higher in a quantitative/technical field (e.g. Computer Science, Economics, Finance, Mathematics, Statistics, Engineering).
  • A successful track-record of manipulating, processing and extracting value from large, disconnected datasets.
  • Passion about testing, with experience on teams where automated building and testing are the norm.
  • Relevant experience in one of the following areas: data science, data engineering, business intelligence or business analytics, Kubernetes, Athena, Lamba and Kinesis.
  • Proven track record of independently delivering big data solutions.
  • Ability to manage competing priorities simultaneously and drive projects to completion.

Apply to Sr. Data Engineer