> Markdown version of [/jobs/ext/3918814-data-engineer](https://www.wearedevelopers.com/jobs/ext/3918814-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Tillster, Inc. - **Location:** Portland, OR, United States - **Experience:** Expert - **Salary:** $130,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Agile Methodology, Airflow, Amazon Web Services, Data Analysis, Business Logic, BigQuery, Cyber Security, Continuous Integration, Information Engineering, Data Governance, Data Integration, Data Transformation, Data Mining, Data Structures, DevOps, Document-Oriented Databases, Google Analytics, Python (Programming Language), Machine Learning, SQL Databases, Tableau (Software), Cloud Platform System, Snowflake, Data Analytics, Data Management, Looker Analytics, Data Pipelines, Jenkins, Amazon Redshift - **Published:** October 26, 2026 - **Apply:** https://startup.jobs/senior-data-engineer-tillster-10553719 ## About the Role The Data Science and Analytics team at Tillster is looking for a highly motivated Senior Data Engineer with strong problem-solving skills and hands-on experience building and maintaining real-time data pipelines. This role is primarily a data engineering position, with a meaningful secondary component supporting analytics and contributing to our dbt-based data modeling layer. You will pull data from multiple platforms, tools, and sources, elevating Tillster's data accessibility, analytical efficiency, and the quality of our data products., * 4+ years of experience developing in Python. * 4+ years of experience in SQL (Redshift, Snowflake, BigQuery). * 2+ years working on AWS or equivalent cloud platform. * 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 Have * 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 (dbt tests, schema tests) and CI/CD for data pipelines. * Exposure to statistics, experimentation (A/B testing), or basic ML concepts. ## Description * 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 enable data-driven decisions across marketing, product, engineering, sales/account management, finance, and operations. * Design data structures that deliver the right data, in the right format, to support 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/Jenkins orchestration jobs; work with DevOps and cloud management on underlying infrastructure. * Fulfill ad-hoc data extract requests and other data engineering duties as required. Data Analysis * Provide ad-hoc SQL and analysis support to business stakeholders when requests fall outside the Data Analyst team's current capacity. * Maintain and update existing Looker Explores and dashboards to ensure consistent, accurate data as underlying warehouse structures change. * Partner with Data Analysts to understand reporting requirements and ensure pipelines and derived tables serve their needs efficiently. Architecture, dbt & Data Modeling * Develop, test, and maintain dbt models to transform raw data into clean, analytics-ready datasets. * Contribute to unifying GA4, CRM, and other data sources into a single consolidated warehouse structure. * Build modular, reusable data models that support marketing funnels, segmentation, and campaign analytics. * Implement basic automated data quality checks and validation rules within owned pipelines, and document data models and business logic for transparency., We want to help you stay safe during your job search. Tillster will never: * Request personal/financial information during recruitment * Require payment or fees * Ask for sensitive PII before a formal job offer * Collect information via email or phone (only through secure channels) * Extend offers without in-person or virtual interviews Red flags: All official communications come from @tillster.com addresses only Suspicious activity? Report immediately to Tillster HR, Legal, or Cyber Security teams.