Data Engineer (WFH)
About the Company
A fintech firm is seeking a Principal Data Engineer to join its Data & Analytics team. The company focuses on building modern data pipelines and architectures that support enterprise analytics, reporting, and data products.
About the Role
The Principal Data Engineer will take a hands-on role in designing, building, and scaling data pipelines and architectures across the data lifecycle, from ingestion through curated data marts. This position requires strong expertise in ELT development, dimensional data modeling, cloud data platforms, and data quality. You will help build reliable, scalable data solutions that support enterprise reporting and analytics, with an emphasis on performance, maintainability, and sound engineering practices.
Key Responsibilities
Design, build, and scale modern data pipelines and data architectures. Develop and maintain ELT pipelines within a data warehouse environment. Create and manage dimensional data models using approaches such as Kimball, Data Vault, and Medallion architecture. Build and maintain data workflows using dbt and orchestration tools such as Airflow or Dagster. Work with Snowflake or similar cloud data warehouses and distributed data systems. Develop analytical SQL models using column-oriented data structures and append-only, point-in-time data patterns. Write and maintain data engineering solutions using Python and SQL. Implement test-driven development practices for data pipelines to support data quality and reliability. Apply Git-based workflows and CI/CD best practices to data engineering development. Support scalable data architectures and curated data marts for enterprise analytics, reporting, and data products.
Required Qualifications
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience. At least 5 years of experience building ELT pipelines in a data warehouse environment. Strong experience with dimensional data modeling methodologies, including Kimball, Data Vault, or Medallion. Hands-on expertise with dbt and Airflow or Dagster. Strong experience with Snowflake or similar cloud data warehouses, distributed data systems, and Kubernetes environments. Deep understanding of append-only data modeling, point-in-time data structures, and column-oriented analytical SQL modeling. Strong proficiency in Python and SQL. Experience implementing test-driven development for data pipelines. Experience with Git-based development workflows and CI/CD best practices.
Preferred Qualifications
Experience working with modern data mesh architectures or data platform architecture. Exposure to real-time or streaming data pipelines. Experience supporting large-scale analytics or business intelligence environments. Salary and Benefits Annual salary: $170,000–$205,000. Annual performance bonus. Medical, dental, and vision coverage. 401(k) plan with a 4% employer match. Unlimited paid time off (PTO). Remote work flexibility. Competitive compensation packages. Work Arrangement Remote flexibility is available. Equal Employment Opportunity Jobot is an equal opportunity employer committed to providing an inclusive work environment. All qualified candidates receive consideration without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age 40 and over, disability, military status, genetic information, or any other status protected by applicable federal, state, or local laws. Jobot also prohibits harassment based on these protected categories. The company complies with applicable laws regarding consideration of unemployment status in hiring decisions. Where required, background checks may be conducted with candidate authorization. Candidates with criminal histories will be considered in accordance with applicable laws, including the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Candidate Privacy and Communications Information submitted through a Jobot candidate profile or application is subject to Jobot’s Privacy Policy, California Worker Privacy Notice, and Notice Regarding Automated Employment Decision Tools. By applying, candidates agree to receive calls, AI-generated calls, text messages, or emails from Jobot, its agents, and contracted partners. Message frequency may vary, and message and data rates may apply. Candidates can reply STOP to cancel messages or HELP for assistance.