Senior Data Engineer

Tillster

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

Posted 10/22/2026full-timeLas Vegas • Nevada • United StatesSenior💰 $120,000 - $140,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in data warehouse infrastructure management across Redshift, BigQuery, and Snowflake, with strong proficiency in SQL and Python for data transformation and pipeline development. Ability to support analytics products and maintain data quality through automated checks and documentation.

Highest-signal resume keywords

Python DevelopmentSQL ProficiencyData Warehouse ManagementAirflow OrchestrationDbt Data Transformation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingData Pipeline DevelopmentReal-Time Data IngestionData Quality ChecksAgile DevelopmentData AnalysisETL ProcessesData Documentation

Tools & Technologies

RedshiftBigQuerySnowflakeAirflowLookerTableauBrazeAcousticMoEngageSegment

Industry Keywords

MarTechBusiness IntelligenceData EngineeringCloud PlatformsCI/CDStatisticsA/B TestingData Quality FrameworksAnalytics ProductsData-Driven Decisions

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 MarTech data needs, 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 coordinate with DevOps and cloud management on infrastructure
Fulfill ad-hoc data extract requests and other data engineering duties
Provide ad-hoc SQL and analysis support to business stakeholders
Maintain and update Looker Explores and dashboards as warehouse structures change
Partner with Data Analysts on reporting requirements, pipelines, and derived tables
Develop, test, and maintain dbt models transforming raw data into analytics-ready datasets
Unify GA4, CRM, and other data sources into a consolidated warehouse structure
Build reusable data models supporting 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 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
Nice to have: experience with Segment, Braze, Acoustic, or MoEngage data integrations
Nice to have: familiarity with LookML and Looker semantic layer concepts
Nice to have: experience with Google Analytics (GA4) as a data source
Nice to have: knowledge of data quality frameworks and CI/CD for data pipelines
Nice to have: exposure to statistics, experimentation (A/B testing), or basic ML concepts
No visa sponsorship

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
15 days of PTO in the first 12 months of continuous service
22 days of PTO in subsequent years
Pro-rated PTO for eligible part-time employees
401(k) Plan eligibility effective with employment start date
College tuition and education assistance programs
Udemy Learning courses
Ongoing learning and development opportunities
Global team collaboration and opportunity to work with innovative technology
Equal opportunity and inclusive work environment