Job Description

Lensa is a U.S. career site that helps job seekers discover job opportunities. We are not a staffing firm or agency. We promote jobs on behalf of our clients, which include employers, recruitment agencies, and marketing partners. About Infinitive Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 7 times most recently in 2024. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” Job Summary We are seeking a motivated Junior Data Engineer to support our data engineering initiatives by building and maintaining scalable data pipelines on AWS. The ideal candidate has 1–2 years of hands-on experience with Python, PySpark, and cloud-based data platforms, and is eager to grow their technical skills in a fast-paced, collaborative environment. Key Responsibilities Develop, test, and maintain data pipelines using Python and PySpark Ingest, transform, and clean structured and semi-structured data from multiple sources Collaborate with senior data engineers and analysts to support data infrastructure needs Deploy and monitor data workflows on AWS using services like S3, Lambda, Glue, and EMR Document processes, data models, and pipeline logic clearly for stakeholders Troubleshoot data issues and assist in performance tuning of jobs and queries Required Qualifications Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field 1–2 years of hands-on experience with Python and PySpark Working knowledge of AWS cloud services (e.g., S3, Lambda, Glue, EMR) Proficiency with SQL for querying and data manipulation Basic understanding of data warehousing concepts and ETL processes Familiarity with version control systems like Git Preferred Qualifications Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions Exposure to data cataloging and metadata management tools Understanding of data lake and data warehouse architectures (e.g., Redshift, Snowflake, BigQuery) Ability to work in Agile development environments Strong problem-solving and communication skills Powered by JazzHR If you have questions about this posting, please contact support@lensa.com Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Lensa by 2x Get notified about new Data Engineer jobs in McLean, VA . Fulton, MD $138,800.00-$241,700.00 6 days ago Washington, DC $100,000.00-$120,000.00 1 week ago North Bethesda, MD $55,000.00-$125,000.00 2 weeks ago Washington, DC $120,000.00-$170,000.00 3 weeks ago Arlington, VA $115,000.00-$155,000.00 1 week ago Washington, DC $100,732.00-$151,099.00 6 days ago Washington, DC $114,000.00-$171,000.00 6 days ago Washington, DC $110,000.00-$120,000.00 3 weeks ago Chantilly, VA $235,000.00-$300,000.00 1 month ago Arlington, VA $120,000.00-$140,000.00 3 months ago Lanham, MD $85,000.00-$100,000.00 2 weeks ago Reston, VA $86,300.00-$164,000.00 6 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr Lensa

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