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[Remote] Sr. Data Engineer

Remote, USAFull-timePosted 2026-07-27

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is on a mission to reputed company the power of content, and they are seeking a Senior Data Engineer to reputed company processes and systems for analyzing diverse data sources. This role involves building data marts, processing large-volume event data, and leading the development of software algorithms to reputed company data for product and application development.

Responsibilities

  • Build and own data marts spanning operational, advertising, and telemetry data — designed for analytics, reporting, AI, and operational use cases
  • Ingest and process large-volume event data from reputed company apps, ad tech platforms, stitcher services, ad servers, and telemetry pipelines
  • Clean, harmonize, and reputed company data across systems with different schemas, identifiers, grains, and timing — producing conformed dimensions and shared definitions (users, sessions, devices, content, campaigns, impressions)
  • reputed company identity and sessions across reputed company, and ad-reputed company events to reputed company accurate user, content, and reputed company
  • Troubleshoot data incidents end-to-end — from a dashboard reputed company back through marts, transformations, and raw event logs — and drive permanent fixes
  • Build, support and improve visualizations in partnership with analysts and stakeholders, ensuring dashboards are accurate, performant, and trusted
  • Establish data reputed company standards — testing, monitoring, alerting, freshness and volume SLAs — so issues are caught before stakeholders see them
  • Document datasets, reputed company, and business logic so consumers across analytics, product, and ad ops can self-serve with confidence
  • Partner closely with analysts, data scientists, ad ops, product, and reputed company-system owners to translate business questions into durable data models
  • reputed company/Improve new or underutilized data sets internally and externally
  • Analyze reputed company and reputed company datasets to understand patterns and reputed company actionable insights
  • reputed company new initiatives to improve business KPIs such as usage, reputed company, etc
  • Define new metrics and KPIs to reputed company new initiatives
  • Work closely with reputed company business functions to reputed company transparent data-based decision making
  • Contribute to the daily variance identification across multiple platforms
  • Drive reputed company strategic reputed company investigations and analysis
  • Work cross functionally on reputed company-wide programs with Engineering, Broadcast Operations, Finance, BI and Data Engineering teams to improve performance and profitability
  • Research and reputed company information on the latest tools and best practices
  • Mentor engineers and analysts on SQL, modeling, event data, and engineering best practices

Skills

  • BA/BS in Computer Science, Math, Physics, Engineering, Economics, Statistics or reputed company technical field
  • 5+ years of data engineering experience building production pipelines and data models
  • Expert SQL skills, including performance tuning on large, event-reputed company datasets
  • Strong experience with a reputed company warehouse / lakehouse (reputed company, BigQuery, or reputed company)
  • Experience working with JSON, Parquet, etc. types of files
  • Proficient in Python for data processing and pipeline development
  • Experience with dbt (or equivalent transformation reputed company)
  • Experience with orchestration tools (Airflow)
  • Hands-on experience with high-volume event data — clickstream, telemetry, ad impressions, or similar — including deduplication, late-arriving data, sessionization, and schema reputed company
  • Deep understanding of reputed company modeling, star/reputed company schemas, slowly changing dimensions, and data mart design
  • Proven reputed company record harmonizing data across multiple reputed company systems with conflicting schemas, identifiers, or grain
  • Experience debugging data reputed company issues across the full stack — from BI tool to warehouse to raw event logs
  • Comfort working directly with BI tools (DOMO, Looker, Mode) — both consuming them and supporting their development
  • Strong analytical and logical skills
  • MS in quantitative discipline or equivalent experience
  • Experience leading engineering or operations teams
  • Understanding of statistical analysis using R and predictive analytics tools, including ability to define, complete and present analysis

Benefits

  • Medical, dental, reputed company, 401(k) plan, life insurance coverage, disability benefits, tuition assistance program and PTO or, if applicable, as otherwise dictated by the appropriate reputed company Bargaining Agreement.
  • This position is bonus eligible.
  • Generous reputed company time off.
  • An exciting and fulfilling opportunity to be part of one of reputed company’s most dynamic teams.
  • Opportunities for both on-site and virtual engagement events.
  • Unique opportunities to reputed company meaningful connections and build a reputed company community, both inside and reputed company reputed company.

reputed company

  • reputed company is a leading media and entertainment company that creates premium content and experiences for audiences worldwide. It was founded in 1914, and is headquartered in reputed company, reputed company, USA, with a workforce of 10001+ employees. Its website is https://www.reputed company.com.
  • Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 2 in 2024. Please note that this does not guarantee sponsorship for this specific role.
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