Manager III, Data Engineering

About the position

As a pioneer in digital outdoor navigation with a suite of apps, onX was founded in Montana, which in turn has inspired our mission to awaken the adventurer inside everyone. With more than 400 employees located around the country working in largely remote / hybrid roles, we have created regional “Basecamps” to help remote employees find connection and inspiration with other onXers. We bring our outdoor passion to work every day, coupling it with industry-leading technology to craft dynamic outdoor experiences. Through multiple years of growth, we haven’t lost our entrepreneurial ethos at onX. We offer a fast-paced, growing, tech-forward environment where ownership, accountability, and passion for winning as a team are essential. We value diversity and believe it leads to different perspectives and inspires both new adventures and new growth. As a team, we’re hungry to improve, value innovation, and believe great ideas come from any direction.

Responsibilities

• Lead and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous learning.
• Design, develop, and optimize scalable ETL/ELT pipelines to support analytics, reporting, and machine learning initiatives.
• Architect and maintain robust data infrastructure, ensuring integrity, security, and compliance.
• Collaborate with cross-functional teams to define and implement data governance best practices.
• Evaluate and integrate new technologies, tools, and frameworks to enhance our data capabilities.
• Provide technical leadership and establish best practices for data engineering and development workflows.
• Monitor system performance and troubleshoot issues to ensure data reliability and efficiency.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 10+ years of experience in data engineering, with at least 5 years in a leadership or managerial role.
• Expertise in SQL, Python, and data pipeline orchestration tools (e.g., Airflow, Prefect, or similar).
• Hands-on experience with cloud platforms (AWS, GCP) and big data technologies (Spark, Iceberg, etc.).
• Strong knowledge of data modeling, warehousing, and database management systems (e.g., BigQuery).
• Experience with CI/CD, version control, and automation in data engineering workflows.
• Excellent problem-solving skills and the ability to work in a fast-paced, agile environment.
• Strong communication and stakeholder management skills.

Nice-to-haves

• Experience working with real-time data processing and streaming technologies (Kafka, Kinesis, etc.).
• Familiarity with data governance and compliance frameworks (GDPR, CCPA, etc.).
• Prior experience in a startup or high-growth environment.

Benefits

• Competitive salaries, annual bonuses, equity, and opportunities for growth.
• Comprehensive health benefits including a no-monthly-cost medical plan.
• Parental leave plan of 5 or 13 weeks fully paid.
• 401k matching at 100% for the first 3% you save and 50% from 3-5%.
• Company-wide outdoor adventures and amazing outdoor industry perks.
• Annual 'Get Out, Get Active' funds to fuel your active lifestyle in and outside of the gym.
• Flexible time away package that includes PTO, STO, VTO, quiet weeks, and floating holidays.