Senior Data Engineer

Tillster • San Diego, CA

1d • $135,000 - $155,000

About The Position

The Data Science and Analytics team at Tillster 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 focuses primarily 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 data product quality.

The position owns and maintains data warehouse infrastructure across Redshift, BigQuery, and Snowflake; builds and supports real-time, batch, and streaming pipelines; and designs data structures for real-time and near-real-time decision-making. It also supports the MarTech stack, modifies SQL and Python ELT processes, maintains orchestration jobs, and fulfills ad-hoc data requests.

The role provides SQL and analysis support to business stakeholders, maintains Looker Explores and dashboards, and partners with Data Analysts on reporting needs. It also develops and maintains dbt models, helps consolidate data sources such as GA4 and CRM, builds reusable models for marketing analytics, implements basic 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, 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 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 such as 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 supporting analytics products and data-driven decisions across marketing, product, engineering, sales/account management, finance, and operations.
• Design data structures that deliver data in suitable formats 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 loading data into Redshift and other warehouses.
• Troubleshoot and maintain Airflow and Jenkins orchestration jobs, working 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 data consistency and accuracy 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 in 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 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 full-time, regular employees; eligible part-time employees receive prorated PTO.
• Eligibility to participate in the 401(k) Plan beginning on 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