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Data Engineer (DMV Metro Area - Remote)

ICF International

Reston, VA
Full Time
Senior
89k-152k
7 days ago

Job Description

About the Role

ICF is a rapidly growing, entrepreneurial, multi-faceted consulting company, seeking a Data Engineer. This resource will help bring new data insights to a government agency committed to improving child welfare. The ICF team performs custom software development, analytics, and maintenance on a suite of web-based applications, and works closely with clients and other contractors to ensure the performance and reliability of public-facing, mission-critical applications. Based on your experiences and interests, we may ask you as a technology professional to support growth-related activities, including (but not limited to) RFI, RFP, prototypes, and oral presentations. Team members are also expected to uphold and maintain appropriate certifications necessary for their practice expertise.

Key Responsibilities

  • Help build, and optimize a AWS-based data lake to support AI/ML initiatives and advance analytics
  • Design and implement scalable data ingestion pipelines for both batch and real-time data from diverse structured and unstructured sources
  • Perform extensive data profiling, transformation and enrichment to prepare clean, ML ready datasets for data scientists and analysts
  • Develop custom reports and data visualizations to support analytics, decision-making across business and technical teams
  • Collaborate with data scientists and business teams to deliver curated datasets and reporting needs for ML and analytics
  • Support project delivery on Data lake, Data Warehouse/BI projects for external and internal clients, including partnering with ICF subject matter experts on project execution

Requirements

  • Bachelor's degree (e.g., Computer Science, Engineering or related discipline)
  • 6-8 years' experience in Data engineering with strong background in pipeline development and data integration
  • 3+ years of hands-on experience with AWS data services, including Amazon Glue, Lambda, S3, StepFunctions and Athena; familiarity with Redshift and Lake Formation is a plus
  • 6+ years of experience in SQL and programming, preferably in Python
  • Experience with BI Tools like Tableau, PowerBI or Amazon QuickSight
  • Experience with cloud integration tools such as Talend, Informatica
  • US Citizen or Permanent Lawful Resident (Green Card Holder)
  • Excellent oral communications, thought leadership and formal presentation skills
  • Must be able to obtain a Public Trust clearance
  • Must reside in the United States and perform work within the U.S., as this work is for a federal contract

Nice to Have

  • Understand ETL concepts of data flow, data enrichment, data consolidation, change data capture and transformation
  • Familiarity with modern data lake architecture and data governance best practices
  • Demonstrated experience showing strong critical thinking and problem solving skills paired with a desire to take initiative
  • Experience working with big data processing frameworks such as Apache Spark, and streaming platforms like Kafka or AWS Kinesis
  • AWS certification (Data Analytics, Developer, or Solutions Architect) is a plus
  • Experience with event-driven architectures and real-time data pipelines
  • Experience with DevOps tools like Jenkins/Git to assist development process
  • Experience working in agile development environments

Working at ICF International

ICF is a global advisory and technology services provider, combining unmatched expertise with cutting-edge technology to help clients solve complex challenges, navigate change, and shape the future. They emphasize building a workplace that allows everyone to thrive, are an equal opportunity employer, and promote collaboration and shared expertise among employees.

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Job Details

Posted AtJul 18, 2025
Job CategoryData Engineering
Salary89k-152k
Job TypeFull Time
Work ModeRemote
ExperienceSenior

Job Skills

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About ICF International

Website

icf.com

Location

Reston, VA

Industry

All Other Support Services

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