OUR COMPANY:

EOS IT Solutions is a Global Technology and Logistics company, providing Collaboration and Business IT Support services to some of the world’s largest industry leaders, delivering forward-thinking solutions based on multi-domain architecture. Customer satisfaction and commitment to superior quality of service are our top business priorities, along with investing in and supporting our partners and employees.

We are a true International IT provider and are proud to deliver our services through global simplicity with trusted transparency.

WHAT YOU WILL DO:

As a Senior Data Engineer, you will lead data engineering initiatives and build end-to-end scalable, stable, and secure analytical solutions. You are passionate about working with huge datasets and have experience with the organization and curation of data for analytics. You have a strategic and long term view on architecting advanced data eco systems. You are experienced in building efficient and scalable data services and have the ability to integrate data systems. In this assignment you will support the RL Data Engineering team (Burlingame, CA + vendor office as applicable), backfilling production ownership of demo, yield/funnel, and asset-tracking pipelines — onboarding new datasets, keeping recurring batch jobs and dashboards healthy, and making onboarding repeatable through documentation and automation.

KEY RESPONSIBILITIES:

• Design, implement and operate large-scale, centralized high-volume, high-performance data structures for analytics and data science. 
• Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes.
• Work with Project Manager to understand business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture.
• Assist SWE team with identifying in code key events and data to be logged to populate the data structures used for dashboarding.
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
• Onboard new datasets end to end: requirements, access provisioning, packaging and CI/CD configuration, partition/snapshot validation, go-live checks.
• Own recurring batch jobs — monitoring, triage, test plans, and partition recovery — including 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 (bug fixes, duplicate-record cleanup, prod/test tagging).
• Author and maintain runbooks, end-to-end documentation, release notes, and user guides; keep them current with a scheduled audit cadence.

ESSENTIAL CRITERIA:

DESIRABLE CRITERIA:

• Hardware / field data collection, demographic data, or yield/funnel analytics.
• Flow/funnel visualizations, asset-tracking DAGs, or lineage tooling.
• Internal tooling, form builders, or AI-assistant guides for onboarding automation.
• Capture-management systems, search APIs, or permission models. 

The EOS pay range for this job is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, experience, education, knowledge, skills, and abilities, as well as internal equity, market data, or other laws. 

EOS is committed to creating a diverse and inclusive work environment and is proud to be an equal opportunity employer. We invite you to consider opportunities at EOS regardless of your gender; gender identity; gender reassignment; age; religious or similar philosophical belief; race; national origin; political opinion; sexual orientation; disability; marital or civil partnership status or other non-merit factor. 

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