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Manager III, Data Engineering

onX is looking for a Data Engineering Manager to lead their team, driving the design and optimization of data systems in a tech-forward environment.

Skills

  • Expertise in SQL
  • Proficient in Python
  • Experience with ETL tools
  • Knowledge of cloud platforms
  • Strong database management skills

Responsibilities

  • Lead and mentor a team of data engineers.
  • Design, develop, and optimize scalable ETL/ELT pipelines.
  • Architect and maintain robust data infrastructure.
  • Collaborate with cross-functional teams for data governance.
  • Evaluate and integrate new technologies to enhance data capabilities.
  • Provide technical leadership and establish best practices.

Education

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field

Benefits

  • Competitive salaries and annual bonuses
  • Comprehensive health benefits with no monthly costs
  • Paid parental leave of 5 or 13 weeks
  • 401k matching program
  • Company-wide outdoor adventures
  • Flexible time away package
To read the complete job description, please click on the ‘Apply’ button
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Average salary estimate

$160000 / YEARLY (est.)
min
max
$142000K
$178000K

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What You Should Know About Manager III, Data Engineering, onX

Join onX as a Manager III, Data Engineering and lead a talented team of data engineers in the beautiful city of Bozeman, Montana. Here at onX, we are passionate about outdoor adventures and are dedicated to enhancing the way people navigate the great outdoors. In this pivotal role, your day-to-day will involve designing and optimizing scalable ETL/ELT pipelines to support our analytics initiatives while diving deep into collaboration with data scientists, analysts, and business leaders to ensure data accessibility and security. You’ll mentor a dynamic team while fostering a culture ripe for innovation and growth. With more than 10 years of experience under your belt, you will leverage your expertise in SQL, Python, and cloud platforms to build robust data infrastructure that complies with best practices in data governance. At onX, every challenge is a chance to explore, and we believe that great ideas come from all corners of our team. We value diversity and inclusion, inviting perspectives that fuel creativity and inspire our adventures. If you’re ready to take your career to the next level in a supportive, tech-forward environment, we invite you to apply and become part of the onX family, where teamwork and passion lead the way to new explorations.

Frequently Asked Questions (FAQs) for Manager III, Data Engineering Role at onX
What are the responsibilities of a Manager III, Data Engineering at onX?

As a Manager III, Data Engineering at onX, your responsibilities include leading and mentoring a team of data engineers, designing and optimizing scalable ETL/ELT pipelines, maintaining robust data infrastructure, and collaborating with cross-functional teams to implement best practices for data governance.

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What qualifications do I need to apply for the Manager III, Data Engineering position at onX?

To qualify for the Manager III, Data Engineering role at onX, you should have a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, along with over 10 years of experience in data engineering, including at least 5 years in a leadership role.

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What technologies should I be familiar with for the Manager III, Data Engineering position at onX?

Candidates applying for the Manager III, Data Engineering role at onX should possess expertise in SQL, Python, cloud platforms (e.g., AWS, GCP), and big data technologies such as Spark. Familiarity with ETL tools, data modeling, and CI/CD workflows is also essential.

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What is the company culture like at onX for the Manager III, Data Engineering position?

The culture at onX for the Manager III, Data Engineering role is built on innovation, collaboration, and a passion for the outdoors. We foster an inclusive environment where diverse perspectives lead to exciting ideas, and teamwork is at the core of our mission.

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What kind of career growth opportunities exist for the Manager III, Data Engineering at onX?

At onX, the Manager III, Data Engineering position offers ample opportunities for growth, including mentorship programs, continuous learning initiatives, and the chance to lead innovative data engineering projects that impact our outdoor navigation products.

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Common Interview Questions for Manager III, Data Engineering
Can you describe your experience with data pipeline orchestration tools as a Data Engineering Manager?

When addressing your experience with data pipeline orchestration tools, specify which tools you have used, such as Apache Airflow or Prefect. Discuss how you have implemented these tools to improve data processing efficiency and ensure reliability within your team. Use examples to illustrate your leadership in optimizing processes.

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How do you approach designing a data architecture for new projects?

In response to this question, emphasize your methodical approach to designing data architecture. Discuss how you assess business requirements, choose suitable technologies, ensure data integrity and security, and collaborate with stakeholders. Highlight the importance of scalability and flexibility in your design.

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What strategies do you employ to mentor your team effectively as a Data Engineering Manager?

Share specific strategies you have implemented for mentoring, such as regular one-on-one meetings, providing constructive feedback, and fostering a culture of continuous learning. Discuss how you encourage innovation and collaboration, which can enhance team performance.

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How do you ensure data governance best practices are followed in your teams?

Detail your approach to ensuring adherence to data governance best practices, including developing policies, offering training, and regularly reviewing compliance through audits. Emphasize the importance of collaboration with data scientists and analysts to create a coherent governance framework.

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Can you provide an example of a challenging problem you solved as a Data Engineering Manager?

Describe a specific challenge, the steps you took to address it, and the outcome. Focus on your problem-solving methodologies, how you engaged your team, and the impact your solution had on overall data reliability and efficiency.

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What experience do you have working with cloud platforms relevant to data engineering?

Discuss your hands-on experience with cloud platforms such as AWS or GCP. Include how you've utilized cloud technologies for data storage, processing, and analysis, as well as any specific projects that demonstrate your expertise.

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How do you keep your team updated with emerging data technologies?

Talk about your proactive approach in keeping your team updated on emerging technologies. This could include organizing training sessions, sharing industry news, and encouraging attendance at conferences or webinars that focus on advancements in data engineering.

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What is your philosophy on fostering a collaborative work environment in your team?

Share your philosophy about collaboration, highlighting specific practices you've employed to break down silos. Mention team-building activities, open communication styles, and tools you use to promote teamwork and sharing of ideas among team members.

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How do you measure the success of your data engineering projects?

Explain your criteria for measuring success, including KPIs related to data integrity, processing speed, and user satisfaction. Discuss how these metrics guide future projects and the ongoing improvement of your team’s practices.

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What role does diversity play in a successful data engineering team?

Reflect on the importance of diversity within your team. Discuss how it can lead to a broader range of ideas, solutions, and perspectives, ultimately enhancing creativity and innovation in data engineering projects.

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18 jobs
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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$142,000/yr - $178,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
April 19, 2025

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