Data Engineer

Build modern data pipelines, lakehouse architectures, and real-time streaming infrastructure for enterprise clients.Data Remote (US) Full-timeAbout the Role We're looking for a Data Engineer to help our clients build the data infrastructure that everything else depends on. You'll design and implement pipelines, warehouses, and governance frameworks that turn fragmented enterprise data into a trustworthy, accessible foundation.What You'll Do Design and build modern data pipelines using batch and real-time streaming patternsImplement lakehouse architectures on cloud platforms (Snowflake, Databricks, BigQuery)Develop data quality frameworks, lineage tracking, and governance automationMigrate legacy ETL processes to modern, cloud-native architecturesCollaborate with data scientists and analysts to ensure infrastructure meets analytical needsWhat We're Looking For 4+ years of data engineering experienceProficiency in SQL and Python; experience with Spark, dbt, or AirflowHands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery, or Redshift)Understanding of data modeling, warehousing patterns, and streaming architectures (Kafka, Kinesis)Experience with infrastructure as code and CI/CD for data pipelinesStrong problem-solving skills and attention to data qualityNice to Have Experience with data governance tools (Collibra, Alation, or similar)Background in building data platforms for regulated industriesFamiliarity with ML feature stores and serving infrastructureInterested? Send us a note with your resume and tell us why you're a fit for this role.#J-18808-Ljbffr