Senior Data Engineer

• • • U.S. Citizenship Required • • • US Citizens or Dual Citizens only. As a Sr. Data Engineer, you will play a pivotal role in building a robust data analytics platform (in Databricks) to be used by a skilled team of data professionals conducting product analysis on a highly visible online product. The Data Engineer is expected to work across multiple source systems, transforming how data is accessed, managed, and utilized across the organization. The engineer must be highly experienced in designing and implementing robust data pipelines, optimizing data infrastructure, and enhancing data feeds to improve quality, availability, and scalability. This may include Kafka streaming, batch ETL, or API data interfaces. The engineer will work in an agile software development environment, collaborating with cross-functional teams to deliver innovative solutions that empower data-driven decision-making. Skills Required: Data Modeling, Applied Machine Learning, Data Visualization, Databricks Unified Data Analytics Platform, Apache Kafka, Extract Transform Load (ETL) This position requires 20% in office work which equates to 1 day a week at our client's site in Washington, DC. Job Types: Full-time, Contract, Temporary Pay: $160,333.00 - $175,000.00 per year Benefits: Dental insurance Health insurance Health savings account Paid holidays Paid time off Vision insurance Experience: Kafka: 10 years (Preferred) Data visualization: 10 years (Preferred) Databricks Platform: 10 years (Preferred) Data Modeling: 10 years (Preferred) Applied Machine Learning: 10 years (Preferred) Ability to Commute: Washington, DC 20002 (Preferred) Ability to Relocate: Washington, DC 20002: Relocate before starting work (Required) Work Location: Hybrid remote in Washington, DC 20002