Senior Data Engineer
Description For Senior Data Engineer
Going is a thriving travel-tech company that's transforming from a deal-alert platform into a comprehensive data-powered travel experience. With over 2M subscribers and a profitable, bootstrapped business model, we're seeking a Senior Data Engineer to spearhead our data infrastructure evolution. This role combines technical leadership with hands-on engineering, focusing on building scalable data solutions that power our growing platform. You'll work with cutting-edge technologies including cloud platforms, big data tools, and modern data engineering frameworks. The position offers competitive compensation at $165K plus equity, comprehensive benefits, and a fully remote work environment. As a key member of the Data team reporting to the Director of Data, you'll have the opportunity to shape the future of travel technology while working with an exceptional team dedicated to helping people explore the world. The role demands expertise in Python, SQL, cloud platforms, and big data technologies, with opportunities for mentorship and technical leadership.
Responsibilities For Senior Data Engineer
- 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
Requirements For Senior Data Engineer
- 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
- Proven ability to collaborate with cross-functional stakeholders
- Familiarity with CI/CD pipelines and data governance best practices
- Legally authorized to work in the United States and able to work US-hours
Benefits For Senior Data Engineer
- 100% remote work environment
- Annual team retreats
- 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
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