Going is a bootstrapped and profitable travel-tech company with over 2M subscribers, evolving from a deal-alert platform to a data-powered travel experience.
The company is seeking a Senior Data Engineer to lead efforts in designing, building, and scaling a robust data infrastructure.
The role involves shaping the future of the data ecosystem, ensuring scalability, efficiency, and support for high-impact decision-making.
The position reports to the Director of Data and is fully remote.

Design and architect complex data pipelines and ETL processes using distributed computing frameworks.
Develop and maintain a 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.

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.
Experience with advanced analytics workflows, including supporting machine learning models.
Familiarity with CI/CD pipelines and data governance best practices.
Legal authorization to work in the United States and ability to work US hours.

Starting salary of $165,000 + equity.
100% remote work environment.
Annual team retreats to destinations like Washington D.C., Vancouver, 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 for co-worker interactions.
Continuing education and development reimbursement.

Senior Data Engineer Full Time

Log In