About the Role
At Going, we’re on a mission to help people travel and experience the world. As a bootstrapped and profitable travel-tech company with over 2M subscribers, we’re evolving from a deal-alert platform to a data-powered travel experience. The Data team is integral to this transformation, supporting engineering, product, and analytics initiatives across the organization.
We’re hiring a Senior Data Engineer to lead our efforts in designing, building, and scaling a robust data infrastructure. In this role, you’ll be a key player in shaping the future of our data ecosystem, ensuring it’s scalable, efficient, and designed to support high-impact decision-making. You’ll combine technical expertise with strategic leadership, collaborating across teams to elevate our data capabilities to deliver exceptional value to our members.
This role will report to the Director of Data.
We will prioritize applications received by December 13 to ensure timely review and response. While applications may remain open after this date, those submitted later may experience a slower review process.
Key Responsibilities
- Design and architect complex data pipelines and ETL processes using distributed computing frameworks
- Develop and maintain data lakehouse leveraging modern data lake technologies
- Implement and optimize data ingestion, transformation, and storage strategies across multiple cloud platforms
- Create and maintain data engineering best practices, including performance optimization, data quality, and governance
- Collaborate with data science and analytics teams to support advanced analytics and machine learning initiatives
- Develop and implement data modeling techniques for large-scale datasets
- Ensure high availability, fault tolerance, and performance of data infrastructure
- Conduct code reviews and mentor junior data engineering team members
- Troubleshoot and resolve complex data infrastructure and pipeline issues
What you know
Required:
- 6+ years of professional experience in data engineering, including 2+ years in a technical leadership role.
- Proficiency in big data technologies (e.g. Spark, Kafka, distributed computing frameworks)
- Proficiency in cloud platforms (AWS EMR, Glue, Databricks, data lake and lakehouse solutions)
- Expertise in Python, SQL, and modern data engineering frameworks (e.g., dbt, Airflow)
- Experience with containerization and orchestration (Docker, Kubernetes)
- Strong track record of delivering scalable, resilient data pipelines with demonstrated ability to architect end-to-end data solutions
- Experience with advanced analytics workflows, including supporting machine learning models and notebook-based data science.
- Proven ability to collaborate with cross-functional stakeholders, translating technical challenges into business solutions.
- Familiarity with CI/CD pipelines and data governance best practices.
- You’re legally authorized to work in the United States and able to work US-hours.
Preferred:
- AWS cloud platform certifications
- Databricks certifications
- IAM and security configuration experience
- CloudFormation or Terraform infrastructure as code
- Experience with real-time data processing and streaming technologies (e.g., Kafka, Event Hub).
- Knowledge of subscription-based business models and their data challenges.
- Proficiency in implementing data privacy and security measures.
Benefits & Perks you'll love...
- The salary range for this role is $165,000 + equity
- 100% remote work environment
- Annual team retreats, with past destinations including Washington D.C., Vancouver, Punta Cana, and Mexico City.
- Open vacation policy, with a 15-day minimum
- Comprehensive health, vision, dental, and life insurance
- 401(k) with a 5% match
- $750/quarter remote work, wellness, and wisdom stipend
- Up to 12 weeks of paid family leave
- Meetup stipend when you cross paths with a co-worker
- Continuing education & development reimbursement
- Challenging problems to solve and an awesome team to collaborate with every single day
We want you to bring your authentic self to work every single day. We accept you for who you are and consider everyone on an equal opportunity basis without regard to ancestry; age; appearance; color; gender identity and/or expression; genetics; family or parental status; marital, civil union, or domestic partnership status; mental, physical, or sensory disability; national, social or ethnic origin; past or present military service; sexual orientation; socioeconomic status; race; religion or belief; hair length; organ donor status. Going is an E-Verify employer.
If you require a reasonable accommodation or assistance for any part of the interview and employment process, please contact us at [email protected] and let us know the nature of your request.