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