Senior Data Engineer - Data Foundations

Data Engineering & Pipelines

• Design and maintain production-grade pipelines ingesting telemetry, backend events, and AI signals.
• Translate legacy BI logic (e.g., Tableau sources) into governed SQL transformations.
• Build ETL / ELT workflows in Databricks and ensure SLA-driven freshness and reliability.

Metrics & Data Modeling

• Partner with the Data Analytics team to define and maintain core product, device, and service metrics.
• Translate business requirements into 'Bronze layer' data ingests that support metric definitions through durable data models.
• Build report-ready facts and dimension models and data pipelines to ensure semantic consistency.

Partner & Cross-Functional Collaboration

• Serve as technical contact for our partner data and product teams as required
• Work with Product, BI, AI/ML, Platform, and Finance to align data outputs to business needs.
• Clearly communicate assumptions, risks, and tradeoffs.

Data Quality & Governance

• Own end-to-end data correctness and alerting.
• Implement validation, reconciliation, monitoring, and documentation standards.

Operational Excellence

• Improve pipeline reliability, performance, and maintainability.
• Reduce manual effort and contribute to data engineering best practices.

Do you have experience in Scalability?, * 4-6+ years of experience as a Data Engineer, Analytics Engineer, or in a similar data-focused role.

• Advanced degrees can be considered as part of this experience

• Strong proficiency in SQL and experience building analytics-ready data models.
• Hands-on experience with Databricks or similar cloud lakehouse platforms, including strong proficiency with SQL-based transformations.
• Deep understanding of BI and analytics concepts, including metric definitions, dimensional modeling, and report-ready datasets.
• Demonstrated ability to interpret existing reporting logic and translate it into scalable, production-grade pipelines., * Experience working with Tableau data sources (TDS/TDSX), published extracts, or equivalent BI artifacts.
• Experience with ETL / orchestration tools such as Databricks Workflows , dbt, Airflow, or similar.
• Familiarity with external or third-party data sharing technologies and requirements (e.g., Delta Sharing / DeltaShare or similar partner data export mechanisms).
• Experience delivering data products to external customers or partners.
• Background in SaaS, subscription, IoT, or consumer electronics environments.

3.33.3 out of 5 stars Milpitas, CA $160,000 - $200,000 a year - Full-time, The pay range for this position reflects the minimum and maximum target for new hire salaries at commencement of employment and is expected to be between USD$160,000 - $200,000/year. However, base pay offered may vary depending on multiple factors, including role, job-related knowledge, skills, relevant education and experience.

Early leverages Generative AI to accelerate development, enhance code quality, and speed up time-to-market. Early's AI-Agent for test code generates automated, comprehensive, cost-effective working tests, catching bugs early, expanding code coverage, and improving overall quality.