Job Description
🚀 We're Hiring: Data Engineer (Data Scientist IV) 🚀
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📍 Location: Remote (Candidates must be based in the San Francisco Bay Area, CA or Bellevue/Seattle, WA)
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💰 Pay: $100/hour (W2) only W2 Candidate required for this role no C2c, No OPT Ead.
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📅 Duration: 6 Months (Strong potential for extension or conversion)
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👥 Openings: 2
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Join a leading technology company's Data Analytics Engineering team and help build the data platform that powers executive and leadership reporting across the organization. This is an exciting opportunity to work on large-scale data engineering initiatives, partner with cross-functional teams, and create high-impact data solutions used across the business.
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What You'll Do
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✅ Build and optimize scalable ETL/ELT pipelines using Spark and Airflow (or similar)
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✅ Design robust, high-performance data models and architectures
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✅ Work with Databricks, modern databases, and data lakes
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✅ Develop data quality frameworks to ensure trusted, reliable data
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✅ Collaborate with engineers, data scientists, product teams, and leadership
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✅ Mentor engineers and contribute to technical excellence
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✅ Build next-generation self-service data platforms
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Required Skills
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✔️ 8+ years of Data Engineering experience
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✔️ Strong Python and/or Scala programming skills
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✔️ Advanced SQL expertise
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✔️ Spark, Airflow, Databricks experience
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✔️ Experience with Redshift, DynamoDB, MongoDB, PostgreSQL, or similar technologies
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✔️ CI/CD experience using Git, Bitbucket, or similar tools
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✔️ Experience building large-scale batch and streaming data systems
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✔️ SaaS industry experience preferred
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✔️ Exposure to Machine Learning
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✔️ Open-source contributions are a plus
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We're Looking For
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🔹 Strong coding quality and development velocity
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🔹 Passion for data quality and engineering excellence
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🔹 Product mindset with exceptional problem-solving skills
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🔹 Ability to navigate ambiguity and communicate effectively
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Ideal Background
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⭐ Experience at leading technology companies (e.g., Google, Amazon, Meta, or similar)
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⭐ Data Engineers or Data Scientists with strong data engineering expertise
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Why Join?
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🌟 Be part of a horizontal analytics team responsible for creating the single source of truth for executive leadership reporting. Your work will directly influence business decisions at scale.
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📩 Interested? Send your updated resume along with your LinkedIn profile. Feel free to like, share, or tag someone who would be a great fit!
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#Hiring #DataEngineer #DataEngineering #Spark #Databricks #Airflow #Python #Scala #SQL #ETL #AnalyticsEngineering #RemoteJobs #TechJobs #HiringNow
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