ICF

Data Engineer

ICF

full-time

Posted on:

Location Type: Remote

Location: Remote • Virginia • 🇺🇸 United States

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Salary

💰 $89,203 - $151,646 per year

Job Level

Mid-LevelSenior

Tech Stack

Amazon RedshiftAWSCloudInformaticaPythonSQLTableau

About the role

  • 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
  • Excellent oral communications, thought leadership and formal presentation skills
  • US Citizen or Permanent Lawful Resident (Green Card Holder).
  • Must be able to obtain and maintain a Public Trust
Benefits
  • Reasonable Accommodations are available
  • Professional development

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringpipeline developmentdata integrationAWS data servicesSQLPythondata profilingdata transformationdata enrichmentdata visualization
Soft skills
oral communicationthought leadershipformal presentation
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