Senior Data Engineer
Required skills
- Data Engineering
- Data Modeling
- ETL
- ELT
- Data Warehousing
- Oracle
- Redshift
- PostgreSQL
- SQL
- Query Performance Tuning
Nice to have
- Data Science
- Data Architecture
- Data Integration
- Hardware
- Field Data Collection
- Demographic Data
Role summary
EOS IT Solutions is seeking a Senior Data Engineer to lead data engineering initiatives and build scalable analytical solutions. The role involves working with large datasets, organizing and curating data, and architecting advanced data ecosystems. Responsibilities include implementing data ingestion routines, translating business requirements into technical solutions, and assisting with data logging for dashboards. The engineer will also onboard new datasets, manage recurring batch jobs, build operational dashboards, and maintain internal tools and documentation. This position requires a degree in Computer Science or related field, or 7+ years of industry experience, with demonstrated strengths in data modeling, ETL, data warehousing (Oracle, Redshift, PostgreSQL), advanced SQL, Python, batch orchestration (Airflow), and CI/CD. Exceptional communication and stakeholder management skills are essential. The role is based on-site in Burlingame, CA.
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:
ESSENTIAL CRITERIA:
DESIRABLE CRITERIA:
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.
#INDNAMER
Pay Range$135,000—$150,000 USDSimilar roles
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