[Remote] Staff Software Engineer, Big Data, tvScientific
Note: The job is a remote job and is open 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 access 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 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, 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 decisions 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