GSTV is dedicated to building an inclusive team and culture that reflects the communities we serve every day. Being part of the GSTV team means that we are always encouraged and challenged to grow personally and professionally. More importantly, we are accountable for our actions towards one another as the foundation for a strong and accepting workplace.
- Your ability to build and maintain robust, scalable data pipelines that meet business needs.
- The reliability and accuracy of the data systems you deliver—ensuring high data quality and visibility of any system issues.
- Your contributions to the technical design and implementation of data infrastructure and pipelines.
- Your ability to mentor and coach other members of the engineering team.
- Your ability to collaborate effectively with engineering, architecture, product, and analytics groups.
- Your ability to stay current with modern data engineering trends and apply them effectively at GSTV.
- Data & Visualization: Snowflake, Domo, MongoDB, Dynamo
- Cloud & Infrastructure: AWS (Kinesis, Lambda, S3, SQS, CDK)
- Languages: Python, SQL
- Integrations: SaaS APIs (e.g., Salesforce)
- Development Practices: Agile, Git, CI/CD
- Deliver high-quality data solutions on time and within scope, while meeting the highest quality standards.
- Design, develop, and maintain secure, scalable ETL pipelines that process structured and unstructured data from various sources.
- Build and optimize data models and processing workflows to support business intelligence, analytics, and reporting needs.
- Develop monitoring and alerting solutions to ensure pipeline performance and data quality, with quick visibility into issues.
- Collaborate closely with software engineering, architecture, product management, analytics, and IT teams.
- Translate business requirements into robust technical solutions and provide input on feasibility, scalability, and design.
- Conduct code reviews and provide thoughtful feedback to other members of the engineering team.
- Contribute to the continuous improvement of data development processes through automation, tooling, and best practices.
- Own the delivery and ongoing support of critical data flows and reporting systems.
- Develop insightful dashboards, reports, and datasets in visualization tools like Domo.
- Mentor other data engineers and contribute to onboarding efforts by teaching the GSTV approach to data development.
- Participate in agile ceremonies including standups, retrospectives, and planning.
- Escalate blockers or risks to appropriate leadership promptly.
- Other duties as assigned.
- Detail-oriented with the ability to drill down into tactical considerations.
- Able to act autonomously while following team philosophy and guidelines.
- Resourceful—able to find solutions even when they are not obvious—and know when to ask for help.
- Comfortable with ambiguity and rapid change.
- A team player with strong communication and collaboration skills in a matrixed environment.
- Business and outcome-focused with a bias toward action.
- Skilled at identifying and resolving data quality issues.
- Passionate about building well-structured, maintainable, and scalable data systems.
- A self-starter and lifelong learner, always eager to experiment with new tools and technologies.
- Strong proficiency in SQL and data modeling techniques.
- Deep experience with Snowflake or comparable data platforms.
- Hands-on experience with Python and familiarity with other languages.
- Expertise in integrating data from external APIs and third-party systems.
- Familiarity with infrastructure-as-code and cloud-native data services (especially AWS).
- Strong analytical thinking, problem-solving, and debugging skills.
- Effective and impactful oral, written, and presentation communication skills.
- Experience in a fast-paced, Agile environment.
- Strong influencing skills—you can achieve goals without direct authority.
- Excellent organization and time management skills.
- Ideal candidates will have 5+ years of experience developing and maintaining ELT systems, and a high-level understanding of different data processing systems.
- Must Have
- Experience with the data warehouses (Snowflake or BigQuery), data ELT/ETL pipelines
- Proficiency in data modeling, advanced SQL, stored procedures, and query optimization
- Proficiency in one or more programming languages such as Python, Java, or Scala
- Nice To Have
- Creating datasets, dataflows, and dashboards in Domo
- Experience building integrations with SaaS APIs like Salesforce
- Bachelor’s degree in Computer Science or a related field
- Extra considerations given for certifications such as AWS Data Analytics Certification or Snowflake Data Engineering Certification
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What We Do
GSTV is a data-driven, national video network with tens of thousands of locations across the country. Reaching over 40% of American adults monthly, our broadcast engages viewers with full sight, sound, and motion video as they fuel their vehicles — an essential waypoint on their consumer journey.
We not only offer consumers everything they want to know on the go with engaging, uplifting content, we deliver measurable results for the world’s largest advertisers through immediate action and lasting brand impressions. Analysis of billions of consumer purchases demonstrates that GSTV viewers spend significantly more across retailers, services, consumer goods and other sectors, following a fuel transaction.
Our convenience and fuel partners include 7-Eleven, Arco, BP, Chevron, Gulf, Kwik Trip, Circle K, Speedway, ExxonMobil, Sunoco, Phillips 66, and Marathon.
Why Work With Us
GSTV is dedicated to building an inclusive team and culture that reflects the communities we serve. Being part of the GSTV team means that we are always encouraged and challenged to grow personally and professionally. More importantly, we are accountable for our actions towards one another as the foundation for a strong and accepting workplace.
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