Senior Data Engineer

Tillster • Los Angeles, CA

2d

About The Position

Tillster is seeking a highly motivated Senior Data Engineer for its Data Science and Analytics team. This is primarily a data engineering role, with a secondary focus on supporting analytics and contributing to the dbt-based data modeling layer. The position works with data from multiple platforms, tools, and sources to improve data accessibility, analytical efficiency, and the quality of data products.

The role owns and maintains data warehouse infrastructure across Redshift, BigQuery, and Snowflake, and builds real-time, batch, and streaming pipelines for analytics and decision-making across business functions. It also supports the MarTech stack, maintains SQL and Python ELT processes and orchestration jobs, and handles ad-hoc data requests.

The Senior Data Engineer provides SQL and analysis support to business stakeholders, maintains Looker Explores and dashboards, and partners with Data Analysts on reporting needs. The role also develops and maintains dbt models, helps consolidate data sources such as GA4 and CRM data, builds reusable models for marketing analytics, implements basic automated data quality checks, and documents data models and business logic.

Requirements

• At least 4 years of experience developing in Python.
• At least 4 years of SQL experience with Redshift, Snowflake, or BigQuery.
• At least 2 years working on AWS or an equivalent cloud platform.
• At least 2 years working with Airflow or comparable orchestration tools.
• Working knowledge of dbt for data transformation and modeling.
• Hands-on experience supporting BI tools such as Looker or Tableau.
• Experience with real-time ingestion tools such as Snowpipe, Stitch, Fivetran, or Kinesis.
• Experience working in an Agile development environment.

Nice To Haves

• Experience with Segment, Braze, Acoustic, or MoEngage data integrations.
• Familiarity with LookML and Looker semantic layer concepts.
• Experience with Google Analytics (GA4) as a data source.
• Knowledge of data quality frameworks such as dbt tests or schema tests, and CI/CD for data pipelines.
• Exposure to statistics, experimentation (A/B testing), or basic machine learning concepts.

Responsibilities

• Own and maintain data warehouse infrastructure across Redshift, BigQuery, and Snowflake.
• Build and maintain real-time, batch, and streaming data pipelines that support analytics products and data-driven decisions across marketing, product, engineering, sales/account management, finance, and operations.
• Design data structures to provide the right data and format for real-time and near-real-time decision-making.
• Support data needs for MarTech tools including Braze, Acoustic, MoEngage, and Segment.
• Modify and maintain SQL and Python ELT processes loading data into Redshift and other warehouses.
• Troubleshoot and maintain Airflow/Jenkins orchestration jobs, coordinating with DevOps and cloud management on underlying infrastructure.
• Fulfill ad-hoc data extract requests and perform other data engineering duties as required.
• Provide ad-hoc SQL and analysis support to business stakeholders when requests exceed the Data Analyst team's capacity.
• Maintain and update Looker Explores and dashboards as warehouse structures change to ensure consistent, accurate data.
• Partner with Data Analysts to understand reporting requirements and ensure pipelines and derived tables meet their needs efficiently.
• Develop, test, and maintain dbt models that transform raw data into clean, analytics-ready datasets.
• Contribute to unifying GA4, CRM, and other data sources into a consolidated warehouse structure.
• Build modular, reusable data models supporting marketing funnels, segmentation, and campaign analytics.
• Implement basic automated data quality checks and validation rules within owned pipelines.
• Document data models and business logic for transparency.

Benefits

• Medical, dental, vision, and flexible spending account benefits for eligible full-time regular employees and their dependents.
• Healthcare and Dependent Care reimbursement programs.
• Employee Assistance Program (EAP) and Optum Care 24-hour confidential medical counseling services.
• Ten paid holidays per calendar year.
• Paid time off: 15 days in the first 12 months of continuous service and 22 days in subsequent years for eligible full-time regular employees; eligible part-time employees earn prorated PTO.
• Eligibility to participate in the 401(k) Plan effective with the employment start date.
• College tuition and education assistance programs.
• Udemy Learning courses and ongoing learning and development opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed