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Company

Original Job Post

ICF · 2 days ago

Lead Data Engineer

Reston, VA

Full-time

Onsite

Senior Level

$105K/yr - $179K/yr

10+ years exp

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Responsibilities

Design and build data processing pipelines using tools and frameworks in the Databricks/Azure ecosystem.

Analyzes requirements and architecture specifications to create a detailed design document. - Responsible for data engineering functions including, but not limited to data extract, transformation, loading, integration in support of modern cloud computing platforms like Azure and Databricks

Develop, Construct, Test and maintain data architectures.

Ensure data architecture will support the requirements of the business.

Assist in the discovery of new opportunities for data acquisition.

Work with huge data sets and work with other Data Engineers and/or Scientists on analyzing this data using algorithms and machine learning.

Implement and configure big data technologies as well as tune processes for performance at scale.

Design and build ETL pipelines to automate the ingestion of structured and unstructured data.

Work with DevOps engineers on CI/CD, and IaC (Continuous Integration, Continuous Delivery, and Infrastructure as Code) processes; read specifications and translate them into code and design documents; and perform code reviews and develop processes for improving code quality.

Strong in scalability, performance, and availability of our systems.

Responsible for deploying the developed solution in Azure environment and examining the results for accuracy.

Responsible for defining and assisting in the implementation/maintaining Data Governance Policies, Quality Standards, Data Security, Data Classifications, and the creation of a data catalog.

Qualification

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SQLPythonAzure EnvironmentData Governance PolicyPublic Trust EligibilityQuery LanguagesAirflow ContractingData AnalyticsMachine LearningLarge Language Models

Required

Bachelor’s degree in computer science or similar field with 10 years’ experience as a Data Engineer, Database Administrator, or Software Developer.

5 years’ experience developing SQL and Python.

5 years' experience working in an Azure Environment

5 years’ experience creating, implementation and maintaining a Data Government Policy.

Candidate must reside in the United States and be able to obtain a Public Trust.

Candidate must be a US Citizen.

Preferred

Master’s degree in computer science or related field

Familiarity with other query languages Path, SPARQL, etc. -- e.g., XPath, MongoDB query language, Elasticsearch query language, JSON Experience with the following technologies is also highly desirable: Python, Airflow.

Federal Government contracting work experience.

Prior experience working remotely full.

Advanced Data Analytics / Machine Learning Techniques / Large Language models

Secret Clearance preferred, but not required.