Senior Data Engineer
SENIOR DATA ENGINEER
About Tillster
Headquartered in the USA, Tillster is the global leader in digital ordering and customer engagement solutions. For over a decade we have developed revolutionary self-service, ordering and payments solutions - for mobile, tablet, online, kiosk, call center, and more - creating personalized interactions based on consumer preferences, language, and currency. Our platform is compatible with 15+ unique POS systems, representing over 90% coverage in multi-unit restaurants. We offer one platform: one scalable, enterprise class solution - to create world-class digital engagement solutions. Our mission and passion are one in the same: Empower restaurants and consumers to engage and transact anywhere, anytime, and from any device - one consumer at a time, one order at a time, billions of times over. In doing so, together we are transforming e-commerce in restaurants and making the till grow for Tillster and our customers.
Are you a passionate data engineering with a knack for data?
SENIOR DATA ENGINEER
The Data Science and Analytics team at Tillster is looking for a highly motivated Senior Data Engineer with strong problem-solving skills and hands-on experience building and maintaining real-time data pipelines. This role is primarily a data engineering position, with a meaningful secondary component supporting analytics and contributing to our dbt-based data modeling layer. You will pull data from multiple platforms, tools, and sources, elevating Tillster's data accessibility, analytical efficiency, and the quality of our data products.
Data Engineering
- 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 enable data-driven decisions across marketing, product, engineering, sales/account management, finance, and operations.
- Design data structures that deliver the right data, in the right format, to support 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 loading data into Redshift and other warehouses.
- Troubleshoot and maintain Airflow/Jenkins orchestration jobs; work with DevOps and cloud management on underlying infrastructure.
- Fulfill ad-hoc data extract requests and other data engineering duties as required.
Data Analysis
- Provide ad-hoc SQL and analysis support to business stakeholders when requests fall outside the Data Analyst team's current capacity.
- Maintain and update existing Looker Explores and dashboards to ensure consistent, accurate data as underlying warehouse structures change.
- Partner with Data Analysts to understand reporting requirements and ensure pipelines and derived tables serve their needs efficiently.
Architecture, dbt & Data Modeling
- Develop, test, and maintain dbt models to transform raw data into clean, analytics-ready datasets.
- Contribute to unifying GA4, CRM, and other data sources into a single consolidated warehouse structure.
- Build modular, reusable data models that support marketing funnels, segmentation, and campaign analytics.
- Implement basic automated data quality checks and validation rules within owned pipelines, and document data models and business logic for transparency.
Requirements
- 4+ years of experience developing in Python.
- 4+ years of experience in SQL (Redshift, Snowflake, 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 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 Have
- 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 (dbt tests, schema tests) and CI/CD for data pipelines.
- Exposure to statistics, experimentation (A/B testing), or basic ML concepts.
Thriving at Tillster
As a member of Tillster, you will embody our core values:
· Put Customers First: Prioritize the needs and satisfaction of our customers in all decisions and actions appropriate to Tillster’s stage of development, resources, and stated goals.
· Collaborate:Work together effectively, leveraging diverse perspectives to achieve common goals.
· Innovate:Embrace creativity and pursue new ideas to drive progress and improvement.
· Operate from Data:Use strong critical thinking skills to make informed decisions based on accurate and relevant data.
· Drive Results:Focus on achieving tangible outcomes and delivering high performance.
· Own It:Take responsibility for your actions and the success of your work.
· Be Passionate and Have Fun:Bring enthusiasm to your work and enjoy the journey.
The Interview Process
Recruiter interview with a Talent Acquisition Specialist
Interview with the Data Science Team
Data Challenge/Take Home Challenge
Final interview with our Data Science Team Leader
Mexico’s Federal Labor Law and Constitution prohibit discrimination in hiring and employment practices based on protected characteristics including sex, gender, age, disability, religion, nationality, marital status, health status, sexual orientation, social condition, and other protected categories. (L&E Global)
Accordingly, employers generally should NOT include:
· Age limits
· Gender preferences
· Marital/family status requirements
· Pregnancy-related inquiries
· Appearance requirements unrelated to the role
· Religious preferences
· National origin restrictions (unless legally justified)
· Salary-history requirements
WHY JOIN TILLSTER
Tillster is a global organization that powers digital ordering and customer engagement for some of the world’s largest restaurant brands. At Tillster, you will have the opportunity to work with innovative technology, collaborate with talented global teams, help shape the future of intelligent customer experiences, and be part of moving to an AI Native enterprise.
We are a growth phase, venture funded company where you have the opportunity to make impact and to collaboratively work with and gain knowledge from colleagues at all levels, all of whom are ground engaged.
Making a Difference in the Tillster Way
Our business and product mission is to empower restaurants and consumers globally; by empowering, supporting, and nurturing the people who are part of the global Tillster team. We are committed to fostering an inclusive and diverse work environment where every team member is respected, empowered, and encouraged to grow. To make this a reality, Tillster is dedicated to embracing diversity in all forms and is proudly an equal opportunity employer. We do not discriminate based on race, color, religion, national origin, gender identity, sexual orientation, age, family/parental status, marital status, veteran status, disability, or any other protected status.
Follow us on:
Tillster: https://www.tillster.com/
Tillster Careers: https://www.tillster.com/careers
LinkedIn: https://www.linkedin.com/company/tillster/
Tillster is proudly an Equal Opportunity Employer
No Visa Sponsorship
Principals only - no Agencies or calls please
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Tillster cares about the safety of all our employees-even those we’ve yet to hire
RECRUITMENT FRAUD WARNING
We want to help you stay safe during your job search. Tillster will never:
Request personal/financial information during recruitment
Require payment or fees
Ask for sensitive PII before a formal job offer
Collect information via email or phone (only through secure channels)
Extend offers without in-person or virtual interviews
Red flags: All official communications come from @tillster.com addresses only
Suspicious activity? Report immediately to Tillster HR, Legal, or Cyber Security teams.