Data Engineer

Baselayer is a trusted business identity platform for financial institutions, seeking a Data Engineer to build and scale their data infrastructure. The role involves owning data pipelines and systems that support analytics, reporting, and machine learning while ensuring data reliability and quality.

Responsibilities

• Design, build, and maintain scalable data pipelines that ingest, clean, validate, and transform data from internal systems and external sources
• Own data reliability and quality through monitoring, alerting, lineage, and validation frameworks
• Build and maintain data models and curated datasets that support analytics, dashboards, customer reporting, and downstream ML use cases
• Partner with Engineering to define best practices for data architecture, storage, access controls, and performance
• Implement orchestration and scheduling for batch and near-real-time workflows as needed
• Optimize pipeline performance, cost, and scalability as data volumes grow
• Develop and maintain documentation and runbooks for pipelines, datasets, and operational procedures
• Identify data gaps and instrumentation needs, and work with engineering teams to improve event capture and logging

Skills

• 1 to 3 years of experience in data engineering, analytics engineering, or backend engineering with significant data pipeline ownership
• Strong Python skills and experience building production-grade data workflows
• Strong SQL skills with experience designing data models and transforming large datasets
• Experience building and maintaining ETL or ELT pipelines and working with data warehouses or analytics databases
• Familiarity with orchestration tools and workflow scheduling (for example Airflow, Dagster, Prefect, or similar)
• Strong understanding of data quality, testing, observability, and operational best practices
• Comfort working with large-scale datasets and troubleshooting performance issues
• Ability to communicate clearly with technical and non-technical stakeholders
• Experience working with identity, fraud, risk, compliance, or other regulated datasets
• Experience integrating with external data sources, APIs, and government or registry data
• Familiarity with streaming or near-real-time data patterns
• Highly feedback-oriented with a desire for continuous improvement

Benefits

• Equity package
• Unlimited vacation
• Comprehensive health coverage
• 401(k) with company match

Company Overview