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Principal Data Engineer (MongoDB)

Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions, to deliver projects in more than 170 countries. Carrying that success into the future is all about you. Your useful skills, your unusual experience, your unique ideas. Everyone here brings something unexpected. What’s yours? Invest your talents in us, and we’ll return the compliment.

Job Description:

We are looking for an established data expert and engineer to work with MongoDB and a number of our no-sql data stores to provide architectural recommendations as we expand how the organization leverages its data.

Preferred location is MN but open to US remote.

Main Responsibilities:

  • Maintain current MongoDB implementation and guide future expansion as the engineering team builds new features.
  • Work with engineers and MongoDB DBAs to run daily scripts, monitor indexes, and monitor performance.
  • Own the MongoDB/operational data store technical roadmap
  • Work with data engineers to expand MongoDB pipelines and monitoring.
  • Establish practices and influence architecture as we expand our use of ElasticSearch .
  • Provide guidance as we introduce additional graphing DB data stores.
  • Work with leadership to help plan training and tools for helping onboard engineers to new features of our data technologies.
  • Collaborate with the data lake and data warehousing teams around data that moves between the operational and analytical stores

Candidates Must Have

  • Experience designing and maintaining MongoDB solutions, including indexes, performance/query tuning, and aggregation.
  • Working knowledge of MongoDB Atlas and MongoDB Atlas specific tools.
  • The drive to push what we can do with data and lead the direction of new initiatives.
  • Previous experience not only architecting no-sql data stores but establishing pipelines and automation around those data stores.
  • At least 7 years working with MongoDB and prior experience with at least one other no-sql data store.
  • Some prior experience with Snowflake and enterprise data architecture
  • Ability to mentor other engineers with prior experience building up communities of practice around data.

Nice to Have

  • Familiarity of Java/Kotlin
  • Experience working in Python for scripting or at the service layer
  • Prior experience working with data lakes and the data that feeds ML models
  • Prior exposure to Apache Kafka
  • A desire to document technical architecture

The base salary range represents the estimated low and high end for this position at the time of this posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position.  Datasite reserves the right to modify this pay range at any time.

$96,500.00 - $168,400.00

As a global organization, Datasite knows that diverse perspectives are essential to our success. We’re committed to maintaining a diverse workforce to serve our customers around the world. Datasite is an equal opportunity employer (EEO) and furthers the principles of EEO through Affirmative Action.

Average salary estimate

$132450 / YEARLY (est.)
min
max
$96500K
$168400K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Principal Data Engineer (MongoDB), Datasite

At Datasite, we know that great deals are built on solid data, and that's where you, the Principal Data Engineer, come in. Based in Minneapolis, MN, or potentially working remotely from anywhere in the US, you're stepping into a pivotal role where your expertise in MongoDB and no-SQL data solutions will shape the architectural direction of our data strategy. Your hands-on experience and unique insights will guide how we leverage our data in M&A transactions across 170 countries. Imagine collaborating with talented engineers and DBAs to enhance our current MongoDB implementations while driving exciting new initiatives. You’ll own the technical roadmap for our operational data stores, enhance our MongoDB pipelines, and introduce us to cutting-edge technologies like ElasticSearch and graphing databases. We’re looking for someone who has at least 7 years of hands-on experience with MongoDB, and familiarity with tools like MongoDB Atlas and Snowflake is a big plus. If you have a passion for mentoring others and building communities around data best practices, you're just who we need. Join us in creating outstanding data solutions that help us close deals efficiently and effectively, while enjoying a competitive salary ranging from $96,500 to $168,400. Bring your creativity and drive to Datasite, and let's make things happen together!

Frequently Asked Questions (FAQs) for Principal Data Engineer (MongoDB) Role at Datasite
What are the main responsibilities of a Principal Data Engineer at Datasite?

The Principal Data Engineer at Datasite is responsible for maintaining and expanding the current MongoDB implementations. This role involves collaborating with engineers and DBAs, guiding the technical roadmap for the operational data store, and expanding MongoDB pipelines. Your input will influence architecture decisions as we adopt new technologies like ElasticSearch and other graph databases.

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What qualifications are required for the Principal Data Engineer position at Datasite?

Candidates applying for the Principal Data Engineer position at Datasite should have at least 7 years of experience working with MongoDB and a solid understanding of no-SQL data stores. Familiarity with tools like MongoDB Atlas, Snowflake, and a desire to lead new data initiatives are also key requirements, along with the ability to mentor other engineers.

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What career growth opportunities are available for a Principal Data Engineer at Datasite?

As a Principal Data Engineer at Datasite, you'll enjoy numerous opportunities for career growth. You'll be at the forefront of the organization’s data strategy, with the chance to lead initiatives, mentor upcoming engineers, and influence evolving technologies. This role allows you to deepen your technical skills, broaden your expertise in no-SQL data solutions, and potentially pursue leadership roles in the future.

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Does Datasite offer remote work options for the Principal Data Engineer role?

Yes, Datasite offers the flexibility of remote work for the Principal Data Engineer position. While the preferred location is Minneapolis, MN, they are open to candidates across the US, emphasizing a commitment to collaboration, regardless of location.

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What is the salary range for the Principal Data Engineer position at Datasite?

The salary range for the Principal Data Engineer position at Datasite is between $96,500 and $168,400. This range varies based on factors such as geographic region, skills, qualifications, and experience, ensuring fair compensation tailored to individual contributions.

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Common Interview Questions for Principal Data Engineer (MongoDB)
What experience do you have with MongoDB?

When answering this question, highlight specific projects where you've used MongoDB. Discuss your role in designing solutions, optimizing performance, and any specific challenges you've overcome, showcasing your depth of experience.

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How do you approach query tuning and performance optimization in MongoDB?

Explain your systematic approach to monitoring database performance using tools like MongoDB Atlas. Share specific strategies you've implemented, such as indexing, query optimization, and analyzing slow query logs to enhance performance.

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Can you describe a time you mentored a junior engineer at Datasite or in a previous role?

Use this opportunity to illustrate your mentoring style. Explain the context, the guidance you provided, and the outcome—a successful project, improved skills, or increased confidence in the junior engineer’s capabilities.

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What strategies would you use to collaborate with data lake and warehousing teams?

Discuss your experience in cross-team collaboration. Showcase your communication skills and any frameworks you've used to align objectives and streamline data flow between different teams, particularly operational and analytical data stores.

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How do you stay updated with industry trends in data engineering?

Share your methods for staying informed, such as attending industry conferences, participating in webinars, and engaging with online communities. Mention specific resources or networks that have enhanced your knowledge and influenced your work.

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What is your experience with ElasticSearch?

Talk about your projects involving ElasticSearch, including use cases, implementation strategies, and performance metrics. Specify how you've combined it with MongoDB or other data stores and the benefits that led to data accessibility and insights.

Join Rise to see the full answer
Describe your familiarity with data pipelines and automation.

Illustrate your experience with designing data pipelines, highlighting the tools and frameworks you've employed for automation. Discuss your role in ensuring data quality, integrity, and the successful integration of data across various platforms.

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How would you document architecture for a new data initiative?

Explain your preferred documentation practices, such as using diagrams and detailed write-ups. Emphasize the importance of clarity and accessibility for future team members and how it improves collaboration and project efficiency.

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Tell me about a challenge you've faced when implementing a new database solution.

Reflect on an experience where you encountered obstacles during implementation. Focus on how you navigated those challenges, the solutions you devised, and the lessons learned that may inform similar projects in the future.

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How would you prioritize tasks when managing multiple data initiatives?

Describe your approach to task management, such as using prioritization frameworks or tools. Share an example where you successfully balanced competing deadlines and goals while ensuring project objectives were met effectively.

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Datasite is where deals are made. We provide the data rooms and SaaS technology used in M&A and other high-value transactions. Our customers include the world’s leading investment banks, private equity firms, law firms, and corporations, across mo...

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Full-time, hybrid
DATE POSTED
April 8, 2025

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