Senior Data Engineer

Tillster • Los Angeles, CA

1d • $140,000 - $160,000

About The Position

Tillster’s Data Science and Analytics team is seeking a highly motivated Senior Data Engineer with strong problem-solving skills and hands-on experience building and maintaining real-time data pipelines. The role is primarily focused on data engineering, with a secondary component supporting analytics and contributing to the dbt-based data modeling layer. The engineer will bring together data from multiple platforms, tools, and sources to improve data accessibility, analytical efficiency, and the quality of Tillster’s data products.

The position owns and maintains data warehouse infrastructure across Redshift, BigQuery, and Snowflake; builds and supports real-time, batch, and streaming pipelines; and supplies data structures and datasets for decision-making across business teams. It also supports the MarTech stack, SQL and Python ELT processes, orchestration jobs, and ad-hoc data requests. The role provides SQL and analysis support, maintains Looker Explores and dashboards, and partners with Data Analysts on reporting requirements.

The engineer will develop, test, and maintain dbt models; help consolidate GA4, CRM, and other sources in the warehouse; create reusable models for marketing funnels, segmentation, and campaign analytics; implement basic data quality checks; and document data models and business logic.

Requirements

• At least 4 years of experience developing in Python.
• At least 4 years of experience in SQL, including Redshift, Snowflake, and 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 the data needs of 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, including dbt tests and schema tests, and CI/CD for data pipelines.
• Exposure to statistics, experimentation (A/B testing), or basic ML 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 that provide the right data and format for real-time and near-real-time decision-making.
• Support the data needs of the MarTech stack, including Braze, Acoustic, MoEngage, and Segment.
• Modify and maintain SQL and Python ELT processes that load data into Redshift and other warehouses.
• Troubleshoot and maintain Airflow/Jenkins orchestration jobs and work with DevOps and cloud management on underlying infrastructure.
• Fulfill ad-hoc data extract requests and other data engineering duties as required.
• Provide ad-hoc SQL and analysis support to business stakeholders when requests exceed the Data Analyst team’s current capacity.
• Maintain and update Looker Explores and dashboards to ensure consistent, accurate data as warehouse structures change.
• Partner with Data Analysts to understand reporting requirements and ensure pipelines and derived tables serve 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 for marketing funnels, segmentation, and campaign analytics.
• Implement basic automated data quality checks and validation rules in owned pipelines, and document data models and business logic.

Benefits

• Medical, dental, vision, and FSA 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 during 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