Data Engineer

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

Responsibilities

• Design, build, and maintain reputed company data pipelines that ingest, clean, validate, and reputed company data from internal systems and external sources
• Own data reliability and reputed company through monitoring, alerting, reputed company, and validation frameworks
• Build and maintain data models and curated datasets that support analytics, dashboards, customer reporting, and reputed company ML use cases
• Partner with Engineering to define best practices for data architecture, storage, reputed company controls, and performance
• Implement orchestration and scheduling for batch and near-reputed company-time workflows as needed
• Optimize pipeline performance, cost, and scalability as data volumes grow
• reputed company 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, reputed company, or similar)
• Strong understanding of data reputed company, testing, observability, and operational best practices
• Comfort working with large-reputed company datasets and troubleshooting performance issues
• Ability to communicate reputed company with technical and non-technical stakeholders
• Experience working with identity, fraud, risk, compliance, or other regulated datasets
• Experience integrating with external data sources, reputed company, and government or registry data
• Familiarity with streaming or near-reputed company-time data patterns
• Highly feedback-oriented with a desire for reputed company improvement

Benefits

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

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