Data Engineer

About this role

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Skills you'll use

What you'll do

• Build and maintain batch and streaming pipelines that ingest, clean, and transform data from device SDKs, internal services, partner APIs, and third-party data providers
• Write and own backend services and RESTful APIs that serve data to internal teams and to real-time decisioning paths
• Develop Airflow DAGs powering reporting, compliance analytics, model training, and feature pipelines, and keep them healthy day to day
• Write Spark jobs and SQL transformations against our data lake, and tune them when they get slow or expensive
• Add monitoring, alerting, and data quality checks to the pipelines you own so problems surface before a stakeholder notices
• Debug production issues across the stack: a Kafka consumer lagging, a schema change breaking downstream, a query that got 10x slower after a data volume jump
• Work with the infrastructure your pipelines and services run on — containers, deployments, cluster configs — and help keep it stable and cost-sane
• Contribute to our identity graph work, helping model relationships between entities to surface fraud rings and hidden linkages
• Write documentation and tests, participate in design reviews, and help keep our schemas and contracts sane as the system grows

Who can apply

• 1–3 years of professional software engineering experience, with meaningful exposure to data-intensive systems
• Strong programming skills in Python, Java, or Scala, and the ability to write production-quality, tested code
• Strong SQL: joins, window functions, aggregations, and enough of a mental model of query execution to know why something is slow
• Working understanding of databases, including the difference between OLTP and OLAP systems and when each is appropriate
• Hands-on experience with at least one distributed data processing framework (Spark preferred) or a genuine willingness to ramp up quickly
• Experience building or maintaining backend services and REST APIs
• Familiarity with a major cloud platform (AWS preferred) and core services like S3, EC2, and managed databases
• Solid computer science fundamentals: data structures, concurrency, and the basics of distributed systems
• Comfort with Git, code review, and CI/CD

About Bureau

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