Principal, Data Engineer
Woburn, MA, United States
USD 65K-90K (estimate) Senior-level Full Time
Tasks
- Architect enterprise data platform
- Build end-to-end data pipelines
- Collaborate with data science to productionize models and enable inference
- Define semantic data layer and data governance controls
- Deliver secure resilient compliant data products
- Design data ingestion transformation storage orchestration serving layers
- Enforce data quality validation lineage metadata access
- Establish engineering standards for coding testing version control documentation CI CD
- Evaluate emerging technologies and guide build versus buy
- Implement reusable data frameworks and enterprise data models
- Lead design reviews root cause analysis and incident response
- Mentor engineers through code reviews technical talks
- Optimize data platform cost performance scalability
Perks/Benefits
- 401k savings plan
- Company holidays
- Employee assistance program
- Healthcare coverage
- Paid time off
- Parental leave
- Sick leave
Skills/Tech-stack
Access Management | Amazon Kinesis | Amazon Web Services | Apache Airflow | Apache Kafka | Apache Spark | Automated testing | Build tool | CI/CD | Cloud platform | Continuous Delivery | Continuous integration | Data Build Tool | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Warehousing | Databricks | FinOps | Google Cloud | Google Cloud Platform | Infrastructure as Code | Lakehouse | Metadata Management | Microsoft Azure | Privacy controls | PySpark | Python | Query Language | Semantic Modeling | Snowflake | Streaming | Structured Query | Structured Query Language | Version control | Web Services | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
Regions
Countries
States
Cities
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