Senior Data Engineer

Summary

Join Going, a profitable travel-tech company, as a Senior Data Engineer to lead the design, building, and scaling of a robust data infrastructure. You will play a key role in shaping the future of our data ecosystem, ensuring scalability and efficiency to support high-impact decision-making. Collaborate with cross-functional teams to elevate data capabilities and deliver exceptional value to our members. This role reports to the Director of Data and requires 6+ years of experience in data engineering, including 2+ years in a technical leadership role. We prioritize applications received by December 13th. The position offers a competitive salary, equity, and a comprehensive benefits package.

Requirements

• 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

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

Preferred Qualifications

• 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

• The starting salary for this role is $XX + 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