Senior Data Engineer

Tillster • Las Vegas, NV

2d

About The Position

Tillster’s Data Science and Analytics team is seeking a highly motivated Senior Data Engineer with strong problem-solving skills and hands-on experience building and maintaining real-time data pipelines. The role primarily focuses on data engineering, with a secondary component supporting analytics and contributing to the dbt-based data modeling layer. The engineer will bring together data from multiple platforms, tools, and sources to improve data accessibility, analytical efficiency, and the quality of Tillster’s data products.

The position owns and maintains data warehouse infrastructure across Redshift, BigQuery, and Snowflake; builds real-time, batch, and streaming pipelines; supports the MarTech stack; and maintains SQL and Python ELT processes and orchestration jobs. It also provides ad-hoc analysis and SQL support, maintains Looker Explores and dashboards, and partners with Data Analysts on reporting needs. The role develops and maintains dbt models, helps consolidate sources such as GA4 and CRM into the warehouse, and implements data quality checks and documentation.

Tillster is a global provider of digital ordering and customer engagement solutions for restaurants. The company describes itself as a growth-phase, venture-funded organization and an equal opportunity employer. No visa sponsorship is available.

Requirements

• At least 4 years of experience developing in Python.
• At least 4 years of experience with SQL, including Redshift, Snowflake, or BigQuery.
• At least 2 years of experience working on AWS or an equivalent cloud platform.
• At least 2 years of experience 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 Haves

• 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, including dbt tests and schema tests, and CI/CD for data pipelines.
• Exposure to statistics, experimentation such as A/B testing, or basic machine learning concepts.

Responsibilities

• 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 data-driven decisions across business functions.
• Design data structures that provide data in the appropriate format for 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 that load data into Redshift and other warehouses.
• Troubleshoot and maintain Airflow and Jenkins orchestration jobs, coordinating with DevOps and cloud management on underlying infrastructure.
• Fulfill ad-hoc data extract requests and perform other data engineering duties as required.
• Provide ad-hoc SQL and analysis support to business stakeholders when requests exceed the Data Analyst team's capacity.
• Maintain and update Looker Explores and dashboards as warehouse structures change, ensuring consistent and accurate data.
• Partner with Data Analysts to understand reporting requirements and ensure pipelines and derived tables serve their needs efficiently.
• Develop, test, and maintain dbt models that transform raw data into clean, analytics-ready datasets.
• Contribute to unifying GA4, CRM, and other data sources in a consolidated warehouse structure.
• Build modular, reusable data models for marketing funnels, segmentation, and campaign analytics.
• Implement basic automated data quality checks and validation rules in owned pipelines.
• Document data models and business logic.

Benefits

• Medical, dental, vision, and flexible spending account benefits for eligible full-time regular employees and their dependents.
• Healthcare and Dependent Care reimbursement programs.
• Employee Assistance Program and Optum Care 24-hour confidential medical counseling services.
• Ten paid holidays per calendar year.
• Paid time off: full-time regular employees earn 15 days during their first 12 months of continuous service and 22 days in subsequent years; eligible part-time employees earn prorated PTO.
• Eligibility to participate in the 401(k) Plan beginning on the employment start date.
• College tuition and education assistance programs.
• Udemy learning courses and ongoing learning and development opportunities.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed