Staff Software Engineer, Big Data, tvScientific
- Location
- US
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 177,185–364,795/yr
Posted 29d ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Design and maintain a scalable identity resolution platform
- Build pipelines and services to ingest, normalize, link, and version identity data
- Ensure deterministic and probabilistic matching logic that is transparent and auditable
- Expose identity data through reliable, well-documented APIs and datasets
- Build and operate batch and streaming pipelines using modern data stack tools
- Create documentation, standards, and runbooks for identity and governance systems
- Own data governance foundations including lineage, quality, schema, and access controls
- Implement privacy-by-design principles (PII handling, consent, retention)
- Collaborate with legal, privacy, and security teams on regulatory requirements
- Establish monitoring and alerting for data quality, freshness, and integrity
Requirements
- Production data engineering experience
- Bachelor's degree in computer science or equivalent experience
- Proficiency in Spark and Scala
- Experience building data infrastructure in Spark using Scala
- Experience delivering significant technical initiatives and large-scale services
- Experience delivering APIs backed by relationship-heavy datasets
- Experience implementing data governance practices (data quality, metadata, access controls)
- Strong understanding of privacy-by-design principles and handling sensitive data
- Familiarity with data lakes, cloud warehouses, and storage formats
- Strong proficiency in AWS services
- Excellent written and verbal communication skills
- Successful design and implementation of scalable data infrastructure
- High attention to detail in automated data quality checks
- Effective collaboration with cross-functional teams
- Demonstrated ability to use AI to improve speed and quality in daily workflow
- Strong track record of critical evaluation and verification of AI-assisted work
Skills
- Spark
- Scala
- AWS
- AI
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