Senior Data Engineer

Tillster • Seattle, WA

2d

About The Position

Tillster’s Data Science and Analytics team is seeking a Senior Data Engineer to build and maintain data infrastructure and real-time, batch, and streaming pipelines. The role focuses primarily on data engineering, with additional support for analytics and contribution to the dbt-based data modeling layer. The engineer will bring data together from multiple platforms and sources to improve accessibility, analytical efficiency, and the quality of data products. The role supports teams across marketing, product, engineering, sales/account management, finance, and operations.

The position includes ownership and maintenance of data warehouse infrastructure across Redshift, BigQuery, and Snowflake; support for MarTech integrations; SQL and Python ELT work; orchestration troubleshooting; ad-hoc analysis; maintenance of Looker content; and development of documented, reusable dbt models and basic data quality checks. The posting states that visa sponsorship is not available.

Requirements

• At least 4 years of experience developing in Python.
• At least 4 years of experience with SQL and 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, including dbt tests and schema tests, and CI/CD for data pipelines.
• Exposure to statistics, experimentation such as 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 for analytics products and data-driven decisions across business functions.
• Design data structures to support real-time and near-real-time decision-making.
• Support MarTech data needs, 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, 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 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 efficiently serve their needs.
• Develop, test, and maintain dbt models that transform raw data into clean, analytics-ready datasets.
• Contribute to unifying GA4, CRM, and other 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.
• Document data models and business logic for transparency.

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 earn prorated PTO.
• Eligibility to participate in the 401(k) Plan starting 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