Senior Data Engineer

About the Role

As a Senior Data Engineer, you will be a crucial member of our Engineering team, driving our mission to leverage data as a strategic asset. You’ll collaborate closely with cross‑functional teams, including product, operations, and analytics, to build and sustain the data infrastructure that powers our decision‑making processes.

In this role you will own our data pipeline, designing, implementing, and maintaining large‑scale data solutions and ETL pipelines. You will lead the engineering team to ensure all code produces meaningful, performant data, powering both client‑facing reporting and internal strategy.

• Build and maintain high‑quality data solutions and large‑scale pipelines that process vast amounts of data.
• Optimize data flow and collection for cross‑functional teams.
• Design core data objects and models for the entire company.
• Implement and maintain data quality checks and monitoring systems.
• Develop client‑facing reporting solutions.
• Create metrics datasets and dashboards to support data‑driven decisions.
• Collaborate across teams to improve data quality while delivering user‑centric experiences.

• 4+ years of professional experience in data engineering.
• Programming proficiency in Python.
• Experience with PostgreSQL or other relational databases.
• Proven experience in data modeling and database design.
• Experience with ETL design, implementation, and maintenance.
• Knowledge of data warehousing solutions, particularly Snowflake.
• Understanding of development workflows and best practices.

• Strong problem‑solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team.
• Excellent organizational and time‑management skills.
• Adaptability to learn and work with new technologies.
• Passion for maintaining high data quality standards.

• Experience with data quality management and monitoring tools.
• Familiarity with AWS services.
• Familiarity with data visualization techniques and tools.
• Knowledge of machine learning pipelines and tools.
• Experience with real‑time data streaming platforms.
• Familiarity with DBT and Airflow.

• Entrepreneurial and ambitious; gritty, roll‑up‑your‑sleeves attitude.
• Hardworking.
• Action‑orientated with the ability to influence others.
• Self‑starter mentality, yet a team player with a collaborative approach.
• Ego‑free.
• Direct and clear communicator.
• Willingness to work in the office 4‑5 days a week.

• Equity in the company.
• Medical, dental, and vision premiums covered at 100 %.
• Fully paid parental leave.
• Commuter benefits.
• 401(k) benefits.
• Fitness & home services stipend to support your wellbeing.
• Collaborative in‑office environment with open floor plan, stocked kitchen, and all meals covered.
• Unlimited vacation and paid holidays.
• Relocation package to make the move easier.

The salary range for this role is $240,000 – $300,000. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits package.

EliseAI provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Employment with EliseAI is on an "at‑will" basis, meaning either party may terminate the employment relationship at any time, with or without cause or notice.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

If you need assistance or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at