Senior Data Engineer

Tillster

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

Posted 10/22/2026full-timeLos Angeles • California • United StatesSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in developing and maintaining data warehouse infrastructure using Redshift, BigQuery, and Snowflake, along with proficiency in Python and SQL for data processing and transformation. Strong experience in building data pipelines, supporting BI tools like Looker, and implementing data quality checks.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencyData Warehouse ManagementAirflow OrchestrationDbt Data Modeling

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

PythonSQLRedshiftBigQuerySnowflakeAirflowDbtLookerReal-Time Data IngestionAgile Development

Tools & Technologies

BrazeAcousticMoEngageSegmentJenkinsStitchFivetranKinesisGA4CRM

Industry Keywords

Data WarehouseData PipelineBusiness IntelligenceData Quality ChecksData Structures

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 data needs of the MarTech stack, including Braze, Acoustic, MoEngage, and Segment
Modify and maintain SQL and Python ELT processes loading data into warehouses
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 efficient pipelines
Develop, test, and maintain dbt models
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
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 for 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
15 days of PTO in the first 12 months of continuous service
22 days of PTO in subsequent years
401(k) Plan eligibility from employment start date
College tuition and education assistance programs
Udemy Learning courses
Ongoing learning and development opportunities