Senior Data Engineer

Tillster

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

Posted 10/22/2026full-timeSan Diego • California • United StatesSenior💰 $135,000 - $155,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data warehouse infrastructure management across Redshift, BigQuery, and Snowflake, with strong capabilities in SQL and Python for data pipeline development and transformation. Proficient in supporting BI tools like Looker and implementing automated data quality checks.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencyData Warehouse ManagementAirflow OrchestrationDbt Data Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData Pipeline DevelopmentData ModelingData Quality ChecksReal-Time Data IngestionAgile DevelopmentData AnalysisETL ProcessesData Structures

Tools & Technologies

RedshiftBigQuerySnowflakeAirflowLookerTableauBrazeAcousticMoEngageSegment

Industry Keywords

MarTechData WarehouseBusiness IntelligenceCloud PlatformData Governance

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
Design data structures for real-time and near-real-time decision-making
Support the MarTech stack, including Braze, Acoustic, MoEngage, and Segment
Modify and maintain SQL and Python ELT processes
Troubleshoot and maintain Airflow/Jenkins orchestration jobs
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 and derived tables
Develop, test, and maintain dbt models
Consolidate GA4, CRM, and other data sources into a unified warehouse structure
Build reusable data models for marketing funnels, segmentation, and campaign analytics
Implement automated data quality checks and validation rules
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 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

Benefits

Comp & perks

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