Senior Data Engineer

Full time remote

What You'll Do

This is not a generalist data role. You will own end-to-end delivery of large-scale batch and streaming data pipelines on AWS, and play a central part in building and maturing a data mesh that powers ML, analytics, and product engineering across the organization. We want engineers who can talk tradeoffs, not just run jobs

•     Design and build batch and streaming data pipelines supporting automated data ingestion, ML feature engineering, and analytics across multiple product domains

•     Own full-cycle delivery of complex data initiatives: architecture, implementation, testing, deployment, monitoring, and documentation

•     Partner with cross-functional teams (Data Science, Product, Engineering) to onboard data products onto the data mesh and ensure data is reliable, performant, and consumable downstream

•     Optimize cost, performance, and reliability of large-scale data workloads

•     Automate data operations: validation, quality checks, alerting, backfills, and recovery workflows

•     Evaluate and adopt new technologies to keep the platform modern and efficient

What You Bring (required)

•     5+ years of hands-on data engineering experience building and maintaining production-grade pipelines and platforms

•     Deep, hands-on expertise with Apache Spark (Python and/or Scala) including performance tuning and optimization

•     Proven experience building data solutions on AWS: EMR, Lambda, S3

•     Strong track record building both batch and streaming data ingestion pipelines at scale

•     Solid foundation in data modeling and schema design for large-scale datasets (partitioning, warehouse concepts)

•     Experience operating production pipelines: monitoring, alerting, incident response, reliability improvements

•     Software engineering fundamentals: version control, CI/CD, testing strategies, code review

•     SQL proficiency for data analytics