Staff Data Engineer San Francisco, CA, US; Remote, USTvscientific • San Francisco, California, United States
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Staff Data Engineer San Francisco, CA, US; Remote, US
Tvscientific
- San Francisco, California, United States
- San Francisco, California, United States
Über
We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy‑safe, and well‑governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization.
What you’ll do:
Design and maintain a scalable identity resolution platform
Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources
Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable
Partner with product and analytics teams to expose identity data through reliable, well‑documented APIs and datasets
Build and operate batch and streaming pipelines using modern data stack tools
Create clear documentation, standards, and runbooks for identity and governance systems
Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls
Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
Establish monitoring and alerting for data quality, freshness, and integrity
What we’re looking for:
Bachelor’s degree in computer science, related field or equivalent experience
Proficiency in Spark and Scala, with proven experience building data infrastructure in Spark using Scala
Experience in delivering significant technical initiatives and building reliable, large scale services
Experience in delivering APIs backed by relationship‑heavy datasets
Experience implementing data governance practices, including data quality, metadata management, and access controls
Strong understanding of privacy‑by‑design principles and handling of sensitive or regulated 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 and efficient data infrastructure
High attention to detail in implementation of automated data quality checks
Effective collaboration with cross‑functional teams
Demonstrated ability to use AI to improve speed and quality in your day‑to‑day workflow for relevant outputs
Strong track record of critical evaluation and verification of AI‑assisted work (e.g., testing, source‑checking, data validation, peer review)
High integrity and ownership: you protect sensitive data, avoid over‑reliance on AI, and remain accountable for final decisions and deliverables
In‑Office Requirement Statement:
We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day‑to‑day can vary based on the needs of each organization or role.
Relocation Statement:
This position is not eligible for relocation assistance. Visit ourPinFlex page to learn more about our working model.
US based applicants only
$177,185 - $364,795 USD
We are an equal opportunity employer and provide reasonable accommodations for qualified individuals with disabilities and disabled veterans. Application for disabilities and veteran status is voluntary and will not be used against candidates.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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