Talint

Senior Data Engineer

Job description

Talint's client, a management consulting firm provides technology services and delivers deep-tech/innovation for a variety of mission-critical fields to support U.S. National Security, is a fast growing, employee focused company. They are actively hiring talented data and engineering experts looking for a challenging yet rewarding career path in the Intelligence Community (IC).


Our client has an immediate need for a Sr Data Engineer. This person will provide technical support in data science, data engineering, and systems engineering and reviewing and providing technical assessments on a new Five-year contract. The right candidate will have at least three years of experience in data analysis, using data programming tools (Python and R), JavaScript, REACT, and AngularJS. Additionally, the right person will have a Top Secret Clearance with a Full-Scope Polygraph. This role is onsite in McLean, VA.



Desired Skills and Experience:

  • Top Secret Clearance with Full-Scope Polygraph;
  • 5 years of experience in business intelligence reporting tools and data visualization software including Tableau;
  • Knowledgeable with JavaScript, REACT, and AngularJS;
  • Experience with data cleaning and transformation efforts in delivery of CDRLs;
  • Expert with extracting and aggregating structured and unstructured data;
  • Knowledgeable in data programming languages such as Python and R;
  • Familiar with SQL or similar database language;
  • Experience with designing and implementing data models to enable, sustain, and enhance the value of information they contain.


Why our client?

  • Competitive total compensation and benefits package that includes health and paid time off;
  • Our client fosters an open-door policy between employees and leadership to ensure direct lines of communication;
  • Incredible opportunities for advancement as they continue to grow;
  • Training and development is a key tenet of our client.


Responsibilities:

  • Design and optimize Data Pipelines using Spark, Hudi, EMR cloud services, and Kubernetes containers;
  • Make sure pedigree and provenance of the data is maintained such that the access to data is protected;
  • Clean and preprocess data to enable analytic access;
  • Collaborate with the engineering team, data stewards, and mission partners to aid in getting actionable value out of the data holdings architects complex, repeatable ETL processes;
  • Provide Advanced Database Administration support in Oracle, MySQL, MariaDB, MongoDB, Elastic, and others;
  • Develop API connectors to enable ingest of new data catalog entries from databases and files.

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