Remote Senior Data Engineer

Description:

• Going is a travel-tech company with over 2M subscribers, evolving from a deal-alert platform to a data-powered travel experience.
• The Data team supports engineering, product, and analytics initiatives across the organization.
• The Senior Data Engineer will lead the design, building, and scaling of a robust data infrastructure.
• This role involves shaping the future of the data ecosystem to ensure it is scalable, efficient, and supports high-impact decision-making.
• The position requires collaboration across teams to enhance data capabilities and deliver exceptional value to members.
• The role reports to the Director of Data.
• Key responsibilities include designing complex data pipelines, developing a data lakehouse, optimizing data ingestion and storage strategies, and maintaining data engineering best practices.
• The engineer will collaborate with data science and analytics teams, develop data modeling techniques, ensure high availability of data infrastructure, conduct code reviews, and mentor junior team members.

Requirements:

• A minimum of 6 years of professional experience in data engineering, with at least 2 years in a technical leadership role is required.
• Proficiency in big data technologies such as Spark and Kafka, and distributed computing frameworks is necessary.
• Experience with cloud platforms like AWS EMR, Glue, and Databricks is essential.
• Expertise in Python, SQL, and modern data engineering frameworks such as dbt and Airflow is required.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes is needed.
• A strong track record of delivering scalable data pipelines and architecting end-to-end data solutions is essential.
• Experience with advanced analytics workflows, including machine learning models, is required.
• Proven ability to collaborate with cross-functional stakeholders and translate technical challenges into business solutions is necessary.
• Familiarity with CI/CD pipelines and data governance best practices is required.
• Candidates must be legally authorized to work in the United States and able to work US-hours.
• Preferred qualifications include AWS cloud platform certifications, Databricks certifications, IAM and security configuration experience, and experience with real-time data processing technologies.

Benefits:

• The starting salary for this role is competitive and includes equity.
• The position offers a 100% remote work environment.
• Employees can participate in annual team retreats to various destinations.
• There is an open vacation policy with a minimum of 15 days off.
• Comprehensive health, vision, dental, and life insurance is provided.
• A 401(k) plan with a 5% match is available.
• Employees receive a $750 quarterly stipend for remote work, wellness, and personal development.
• Up to 12 weeks of paid family leave is offered.
• A meetup stipend is provided for employees who connect with co-workers.
• Continuing education and development reimbursement is available.
• Employees will face challenging problems and collaborate with an awesome team daily.