Baselayer ยท 15 hours ago
Data Engineer
San Francisco, CA
Full-time
Hybrid
Entry, Mid Level
$122K/yr - $167K/yr
1+ years expBaselayer is an intelligent business identity platform trusted by over 2,200 financial institutions. They are seeking a Data Engineer to build and scale their data infrastructure, focusing on data reliability, performance, and quality while collaborating closely with Product and Engineering teams.
Information TechnologySoftwareVirtual Reality
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
Qualification
Required
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
Preferred
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
Baselayer
We create innovative technology to transform the data center. We deliver hardware and software products which ensure the data center.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase