MongoDB’s mission is to empower innovators to create, transform, and disrupt industries by unleashing the power of software and data. We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure. Atlas allows customers to build and run applications anywhere—on premises, or across cloud providers. With offices worldwide and over 175,000 new developers signing up to use MongoDB every month, it’s no wonder that leading organizations, like Samsung and Toyota, trust MongoDB to build next-generation, AI-powered applications.
SummaryAs an Analytics Engineer at MongoDB, you will play a critical role in leveraging data to drive informed decision-making and simplify end user engagement across our most critical data sets. You will be responsible for designing, developing, and maintaining robust analytics solutions, ensuring data integrity, and enabling data-driven insights across all of MongoDB. This role requires an analytical thinker with strong technical expertise to contribute to the growth and success of the entire business.
This role can be based out of our New York City office or remotely in the North America region.
Responsibilities- Design, implement, and maintain highly performant data post-processing pipelines
- Create shared data assets that will act as the company’s source-of-truth for critical business metrics
- Partner with analytics stakeholders to curate analysis-ready datasets and augment the generation of actionable insights
- Partner with data engineering to expose governed datasets to the rest of the organization
- Make impactful contributions to our analytics infrastructure, systems, and tools
- Create and manage documentation, and conduct knowledge sharing sessions to proliferate tribal knowledge and best practices
- Maintain consistent planning and tracking of work in JIRA tickets
- Bachelor’s degree (or equivalent) in mathematics, computer science, information technology, engineering, or related discipline
- 2-4 years of relevant experience
- Strong Proficiency in SQL and experience working with relational databases
- Solid understanding of data modeling and ETL processes
- Proficiency in Python for data manipulation and analysis
- Familiarity with CI/CD concepts and experience with managing codebases with git
- Experience managing ETL and data pipeline orchestration with dbt and Airflow
- Familiarity with basic command line functions
- Experience translating project requirements into a set of technical sub-tasks that build towards a final deliverable
- Committed to continuous improvement, with a passion for building processes/tools to make everyone more efficient
- The ability to effectively collaborate cross-functionally to drive actionable and measurable results
- A passion for AI as an enhancing tool to improve workflows, increase productivity, and generate smarter outcomes.
- Strong communication skills to document technical processes clearly and lead knowledge-sharing efforts across teams
- A desire to constantly learn and improve themselves
To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world!
MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.
MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Req ID: 2263164630
MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
Top Skills
Similar Jobs at MongoDB
What you need to know about the Seattle Tech Scene
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
