JobHabor

Staff Software Engineer, Big Data, tvScientific

Location
US
Workplace
Remote
Employment
Full Time
Salary
USD 177,185–364,795/yr
Apply on the employer’s site

Posted 28d 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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