Senior Data Engineer
Tasks
- Collaborate with engineers architects analysts and stakeholders
- Design develop and maintain scalable production data pipelines
- Establish data engineering patterns standards and best practices
- Implement API based data ingestion integration and exchange
- Implement data validation quality and governance practices
- Integrate transform complex data into reusable data products
- Mentor engineers and influence engineering practices
- Monitor troubleshoot and optimize production workflows and pipelines
- Provide technical guidance on data architecture pipeline design and data modeling
- Troubleshoot complex technical and data integration root causes
Perks/Benefits
- 401k employer match
- Federal holidays off
- Flexible PTO
- Flexible spending account
- Health, dental, and vision insurance
- Life insurance
- Long-term disability
- Paid Cloud Developer Accounts
- Paid professional development training certifications conferences
- Referral bonuses
- Short-term disability
Skills/Tech-stack
API Integration | Apache Spark | Command Line | Data Architecture | Data Governance | Data Modeling | Data Quality | Data Validation | Data pipeline | Data pipeline optimization | Databricks | Distributed Computing | ELT | ETL | Git | Pipeline Optimization | Python | SQL
Education
Roles
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