Staff Software Engineer, Big Data, tvScientific @tvScientific

Overview

tvScientific is seeking a Staff Data Engineer to lead the design, implementation, and evolution of their identity services and data governance platform. This individual contributor role is critical for ensuring trusted, privacy-safe, and well-governed data across the organization.

Key Responsibilities

• 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 documentation, standards, and runbooks for identity and governance systems.
• Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls.
• Implement privacy-by-design principles (PII handling, consent enforcement, retention policies).
• 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.

Requirements

• Production data engineering experience.
• 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 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.
• 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: protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.

Benefits

The base salary range for this position is $177,185 — $364,795 USD, and the position is also eligible for equity.

Location

Remote, US-based applicants only.

How to Apply

Interested candidates should apply via the provided application process.

Deadline

US-based applicants only.