Data Engineer

Data Engineer Data Management - Big Data/Machine Learning Engineer - Lead Location: McLean VA 22102 (Onsite) Duration: 2 years Pay- $75-$85/hr W2 ONLY, NO C2C Overview: • Recommender is a key driver of Incremental PV for Campaign Arbitration on EASE creating over $400MM PV generated via Machine Learning optimization. For 2026 the platform will expand to support Email arbitration gating 100M emails/month. • The platform RTE is expected to increase by 75% through expanded batch data and model training infra. • The additional NAL will critically support RTE for the email expansion as well as add bench strength for campaign RTE. This will free up FTEs for Q1/Q2 KRs to produce the Replay framework and take ownership of the model training infrastructure. Basic Qualifications: • Bachelor’s Degree • At least 3 years of experience in application development (Internship experience does not apply) • At least 1 year of experience in big data technologies Preferred Qualifications: • 5+ years of experience in application development including Python, SQL, Scala, or Java • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) • 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) • 2+ year experience working on real-time data and streaming applications • 2+ years of experience with NoSQL implementation (Mongo, Cassandra) • 2+ years of data warehousing experience (Redshift or Snowflake) • 3+ years of experience with UNIX/Linux including basic commands and shell scripting • 2+ years of experience with Agile engineering practices