Senior Data Engineer

EOS•Burlingame, CA

2d•$135,000 - $150,000•Onsite

About The Position

EOS IT Solutions is a global technology and logistics company providing collaboration and business IT support services. The Senior Data Engineer will lead data engineering initiatives and build scalable, stable, and secure analytical solutions. The role supports the RL Data Engineering team in Burlingame, California, and at a vendor office as applicable, backfilling production ownership of demo, yield/funnel, and asset-tracking pipelines. The engineer will onboard datasets, maintain recurring batch jobs and dashboards, and make onboarding repeatable through documentation and automation. The position involves designing and operating high-volume data structures for analytics and data science, developing real-time and batch ingestion, translating business requirements into robust data architecture, and improving reporting and production support. The role also owns dataset onboarding and recurring batch-job operations, maintains dashboards and internal web tools, and authors operational documentation. The stated pay range is $135,000–$150,000 USD. EOS describes the range as a general guideline rather than a compensation guarantee; offers may depend on responsibilities, experience, education, skills, internal equity, market data, and applicable laws.

Requirements

Degree in Computer Science, Engineering, Mathematics, or a related field, or 7+ years of industry experience.
Demonstrated strength in data modeling, ETL development, and data warehousing with technologies such as Oracle, Redshift, or PostgreSQL.
Advanced SQL and query-performance-tuning skills.
Experience building data products incrementally and integrating and managing datasets from multiple sources.
Proficiency in Python.
Experience with scheduled batch orchestration such as Airflow or equivalent, and partitioned lake or warehouse tables.
Experience with CI/CD, version control, and task tracking; ability to own production issues and write clear runbooks.
Experience building operational dashboards and reporting on delivery KPIs such as freshness, completeness, on-time delivery, and accuracy.
Exceptional communication and stakeholder-management skills; self-motivated in an autonomous, fast-paced environment.
Ability to work on-site in Burlingame, California, per assignment.

Nice To Haves

Experience with hardware or field data collection, demographic data, or yield/funnel analytics.
Experience with flow/funnel visualizations, asset-tracking DAGs, or lineage tooling.
Experience with internal tooling, form builders, or AI-assistant guides for onboarding automation.
Experience with capture-management systems, search APIs, or permission models.

Responsibilities

Design, implement, and operate large-scale, centralized, high-volume, high-performance data structures for analytics and data science.
Implement real-time and batch data ingestion using data-modeling and ETL/ELT best practices.
Work with the Project Manager to translate business and functional requirements into robust, scalable, operable solutions and flexible data architecture.
Assist the software engineering team in identifying key events and data to log for dashboarding data structures.
Improve reporting and analysis processes, including automating or simplifying self-service modeling and production support.
Onboard datasets end to end, including requirements, access provisioning, packaging and CI/CD configuration, partition and snapshot validation, and go-live checks.
Own recurring batch jobs, including monitoring, triage, test plans, and partition recovery, with backfills via notebooks and SQL.
Build and maintain flow/funnel, quality-check, and operations-health dashboards in the team’s BI platform.
Maintain internal web tools, including bug fixes, duplicate-record cleanup, and production/test tagging.
Author and maintain runbooks, end-to-end documentation, release notes, and user guides, and keep them current through scheduled audits.