As a Senior Data Engineer at GSTV, you will build and maintain data pipelines, ensure data quality, and collaborate across teams for scalable solutions, while mentoring other engineers.
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.
GSTV Values:
● Growth Focused
● Social Accountability
● Tenacious Behavior
● Valued Actions
Benefits Day One! Medical, Dental, Vision, Paternal Leave, Life Insurance, Accident, Critical Illness, Hospital Indemnity, STD/LTD + Vol Plans., Paid Holidays, 20 PTO days + Sick time, Perks, HSA and FSA and Lifestyle Spending Account (1st of mo after 30 days), 401K Match (90 days).
GSTV offers both hybrid and remote work situations. Candidates located within commutable distance to our New York Office will be tagged to that office and are not currently considered 100% remote.
SENIOR DATA ENGINEER
Summary:
At GSTV, we take pride in the data that powers our media platform and are committed to unlocking its full potential to drive meaningful business outcomes. That’s why we’re expanding our Data Engineering team and looking for a talented Senior Data Engineer to join us.
As a Senior Data Engineer, you'll play a key role in building and maintaining the pipelines and platforms that enable our teams to access trusted, timely, and actionable data. You’ll work closely with Software Engineering, Architecture, IT, and Analytics to deliver scalable, high-quality data solutions that support our advertising, hardware, and retail partners.
Your primary focus will be on building efficient and reliable data pipelines, ensuring data quality, supporting analytics and reporting, and helping evolve GSTV’s data platform to meet future business needs. Along the way, you’ll mentor other engineers, help establish best practices, and collaborate across the organization to deliver measurable impact.
We’re passionate about being a data-driven organization, and we need someone who shares that passion. If you're excited to solve complex challenges, thrive in a fast-paced environment, and want to shape the future of data at GSTV, we’d love to hear from you.
Your success will be measured by:
- 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.
Technologies We Use:
- 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
Responsibilities:
Responsibilities include, but are not limited to:
- 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.
Requirements:
You are
- 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.
You have, ideally,
- 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.
The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education and/or Experience:
Experience:
- 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
Education:
- 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
Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at GSTV's discretion, or otherwise applicable with local law.
Top Skills
Agile
AWS
Ci/Cd
Domo
Dynamo
Git
MongoDB
Python
Saas Apis
Snowflake
SQL
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