Senior Data Engineer

Tillster

. Own and maintain data warehouse infrastructure across Redshift, BigQuery, and Snowflake .

Posted 10/22/2026full-timePortland • Oregon • United StatesSenior💰 $130,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data warehouse infrastructure using Redshift, BigQuery, and Snowflake, along with proficiency in SQL and Python for data processing. Capable of developing real-time data pipelines and supporting BI tools like Looker for analytics-driven decision-making.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencyData Warehouse ManagementAirflow OrchestrationBI Tool Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLRedshiftBigQuerySnowflakeAirflowDbtLookerGoogle AnalyticsData Quality Frameworks

Tools & Technologies

AWSBrazeAcousticMoEngageSegmentFivetranStitchKinesisLookMLJenkins

Industry Keywords

Data PipelineReal-Time IngestionAgile DevelopmentData IntegrationAnalytics Products

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSBigQueryCloudJenkinsPythonSQLTableau

About the role

Key responsibilities & impact

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
Design data structures for real-time and near-real-time decision-making
Support 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 and collaborate with DevOps and cloud management on underlying infrastructure
Fulfill ad-hoc data extract requests
Provide ad-hoc SQL and analysis support to business stakeholders
Maintain and update Looker Explores and dashboards
Partner with Data Analysts on reporting requirements, pipelines, and derived tables
Develop, test, and maintain dbt models for clean, analytics-ready datasets
Unify GA4, CRM, and other data sources into a consolidated warehouse structure
Build reusable data models for marketing funnels, segmentation, and campaign analytics
Implement automated data quality checks and validation rules and document data models and business logic

Requirements

What you’ll need

4+ years of experience developing in Python
4+ years of experience in SQL, including Redshift, Snowflake, and BigQuery
2+ years working on AWS or an 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 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
No visa sponsorship
Experience with Segment, Braze, Acoustic, or MoEngage data integrations is nice to have
Familiarity with LookML and Looker semantic layer concepts is nice to have
Experience with Google Analytics (GA4) as a data source is nice to have
Knowledge of data quality frameworks and CI/CD for data pipelines is nice to have
Exposure to statistics, experimentation, or basic ML concepts is nice to have

Benefits

Comp & perks

Medical, dental, vision and FSA benefits for eligible full-time regular employees and dependents
Healthcare and Dependent Care reimbursement programs
Employee Assistance Program (EAP)
Optum Care 24-hour confidential medical counseling services
Ten paid holidays per calendar year
Paid time off: 15 days in the first 12 months and 22 days in subsequent years for eligible full-time regular employees
401(k) Plan eligibility effective with employment start date
College tuition and education assistance programs
Udemy Learning courses
Ongoing learning and development opportunities