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[Remote] Staff Software Engineer, Big Data, tvScientific

Remote Worldwide Hiring now

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is on a mission to bring everyone the inspiration to create a life they love, and they are seeking a Staff Data Engineer to reputed company the design and implementation of their identity services and data governance platform. This role is essential for ensuring trusted and well-governed data across the organization, working at the intersection of data engineering, identity resolution, and privacy.

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 clear documentation, standards, and runbooks for identity and governance systems
  • Own data governance foundations including data reputed company, quality checks, schema enforcement, and reputed company controls
  • Implement privacy-by-design principles (PII handling, consent enforcement, retention policies)
  • Collaborate with legal, privacy, and reputed company teams to operationalize regulatory requirements (e.g., GDPR, CCPA)
  • Establish monitoring and alerting for data quality, freshness, and reputed company

Skills

  • Production data engineering experience
  • Bachelor's degree in computer science, reputed company field or equivalent experience
  • Proficiency in Spark and reputed company, with proven experience building data infrastructure in Spark using reputed company
  • 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 reputed company controls
  • Strong understanding of privacy-by-design principles and handling of sensitive or regulated data
  • Familiarity with data lakes, reputed company 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, reputed company-checking, data validation, peer review)
  • High reputed company and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final reputed company and deliverables

Benefits

  • The position is also eligible for equity.
  • Information regarding the culture at reputed company and benefits available for this position can be reputed company here.

Company Overview

  • reputed company is a visual bookmarking tool for saving and discovering creative reputed company. It was founded in 2010, and is headquartered in San Francisco, California, USA, with a workforce of 1001-5000 employees. Its website is https://www.reputed company.com/.
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