{bc}
oracle

Senior Data Engineer

Cetera Financial Group
Dallas, USA
Full-time
Senior · 5+ years experience
Onsite
Discovered 4 days ago

Full Job Posting

Responsibilities

  • Key responsibilities include:
  • Design, build and maintain data ingestion, discovery and consumption pipelines across file-based feeds, APIs, change-data-capture and streaming sources, driven by reusable, declarative data contracts
  • Collaborate with product owners, engineering leads and data stewards to gather and implement requirements, ensuring data pipelines and contracts reflect prioritized business imperatives
  • Own the onboarding of new data sources end-to-end through pipeline development, field mapping, type management, enrichment and quality/privacy rule definitions
  • Work with orchestration and metadata systems to process event, dependency and schedule-driven activities
  • Support and extend the downstream data models that power business intelligence and reporting
  • Apply modern software engineering practices to ensure pipeline changes are well-specified and production ready, backed by automated unit and end-to-end tests
  • Use AI-assisted development tools for coding, testing and documentation, while staying accountable for correctness, security and sound architecture
  • Participate in CI/CD and DevOps best practices for data platform development, validation and deployment
  • Monitor pipeline health and data processing in production, troubleshooting and routing issues to the appropriate remediation process
  • Maintain documentation, including operational runbooks, to capture and share data platform knowledge and insights
  • Experience & Education
  • Bachelor’s degree in computer science or equivalent experience
  • 5+ years of programming experience with an advanced, object-oriented language (Python preferred)
  • 4+ years of hands-on experience with SQL, writing efficient code for high-volume data processing and supporting high-performing ETL processes, including data quality and testing practices
  • 3+ years of hands-on experience with data warehousing/Lakehouse design and implementation on cloud-based platforms (e.g. AWS, Databricks, Snowflake)
  • Experience with event-driven data ingestion patterns and Lakehouse table formats (e.g. Apache Iceberg)
  • Experience with CI/CD and infrastructure-as-code practices
  • Experience with Agile development methodologies

Qualifications

  • Bachelor’s degree in computer science or equivalent experience
  • Experience with event-driven data ingestion patterns and Lakehouse table formats (e.g. Apache Iceberg)
  • Experience with CI/CD and infrastructure-as-code practices
  • Experience with Agile development methodologies

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