Senior data engineer san jose, ca
Listed on 2026-01-13
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IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Warehousing
Senior Data Engineer
Location:
San Jose, CA
Experience Level: Mid-senior
Experience Required: 3 Years
Education Level: Bachelor’s degree
Job Function: Information Technology
Industry: Financial Services
Pay Rate:
Total Position: 1
Relocation Assistance: No
Visa Sponsorship Eligibility: No
Job Description:
Make your impact within a rapidly growing Fintech Company. The Data Operations team builds capabilities and owns practices that enable seamless data usage across the company. The team collaborates with stakeholders to understand requirements, develop scalable solutions, solicit feedback, deploy models, and ensure high-quality data products.
Engineers on the Data Operations team bring a pragmatic approach to building robust, efficient, and well-documented data models. They balance speed with accuracy, ensuring that our data infrastructure evolves to meet the needs of our growing business.
Responsibilities:
We’d Love to Chat if You Have:
Qualifications:
- BS/BA in Computer Science, Information Systems, Mathematics, or a related technical field (or equivalent work experience).
- 3+ years of experience in a data engineering, BI, or analytics role.
- 2+ years of experience working in financial services and/or SaaS companies.
- Experience in dbt and modern data modeling best practices.
- Experience working in startup environments is a plus.
- Strong proficiency in SQL, with experience in Multiple SQL Syntaxes (Redshift, Snowflake, and Trino (Iceberg).
- Deep understanding of dbt, including model development, macros, and Jinja templating.
- Experience with BI tools, such as Tableau, and a working knowledge of data source construction.
- Strong stakeholder communication skills, particularly in guiding teams through infrastructure changes.
- Experience refactoring SQL and dbt models to support infrastructure migrations.
MUST HAVE:
- BS/BA in Computer Science, Information Systems, Mathematics, or a related technical field (or equivalent work experience).
- 3+ years of experience in a data engineering, BI, or analytics role.
- 2+ years of experience working in financial services and/or SaaS companies.
- Experience in dbt and modern data modeling best practices.
- Experience working in startup environments is a plus.
- Strong proficiency in SQL, with experience in Multiple SQL Syntaxes (Redshift, Snowflake, and Trino (Iceberg).
- Deep understanding of dbt, including model development, macros, and Jinja templating.
- Experience with BI tools, such as Tableau, and a working knowledge of data source construction.
- Experience refactoring SQL and dbt models to support infrastructure migrations.
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