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.
The SQL Engines team is working to make MongoDB the first choice of application developers, business analysts and data scientists everywhere by providing a seamless experience for using SQL and BI Tools to natively access data in MongoDB.
Our team is responsible for a broad portfolio of analytics products, including JDBC and ODBC drivers, Tableau and PowerBI native connectors and a SQL-to-MQL translation engine.
We’re seeking an experienced and passionate Senior Engineer to join our team and help us build the future of the MongoDB SQL Interface — bridging MongoDB's powerful document data model with SQL-based tools and interfaces. This is an opportunity to make a significant impact by enabling our users to query, analyze, and visualize MongoDB data using the world's most widely understood query language: SQL.
If you like working on query languages and database systems, and want to help build products that expose the power of MongoDB’s document database to developers and analysts, this team is the place for you!
Successful candidates will have the following qualitiesTechnical Expertise
- 5+ years of professional experience in software engineering, with a strong emphasis on backend systems and database technologies
- Proficiency in at least one compiled language, and interest in working with Rust, Java and Go
- Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
- Interest in the theory and practice of database query engines. Professional experience or M.Sc./Ph.D in the domain is preferred
- Familiarity with SQL query execution, optimization, and relational database systems
- Familiarity with MongoDB or other non-relational databases is a plus but not mandatory
Problem-Solving & Collaboration
- Proven ability to break down complex problems into manageable pieces and deliver solutions
- Strong verbal and written communication skills with the ability to collaborate across teams, advocate for technical improvements, and articulate ideas clearly
Passion for Data
- A keen interest in empowering users to interact with and analyze data
- A drive to deliver tools that enable seamless integration between MongoDB and SQL-based workflows
- Innovate at the intersection of traditional relational databases and modern flexible-schema databases to design, build, and optimize tools to enhance the SQL experience with MongoDB
- Collaborate with product managers and customer experience teams to evaluate user needs and build features that provide an intuitive and delightful experience to customers
- Monitor and improve performance, scalability, and reliability of the SQL interface to ensure smooth experiences for users working with large datasets and complex queries
- Stay updated on emerging trends in the database and cloud industry, bringing innovative ideas to the team
- Advocate for technical excellence while helping the team balance trade-offs between feature delivery and system quality
- In three months you’ll be familiar with our codebase and tools, have contributed to the development of a new feature, as well as fixed a few bugs in our existing products
- In six months, you'll be contributing to our ongoing projects and are involved in implementation of a major new feature
- In twelve months, you’ll be hitting your stride contributing to our roadmap and leading the team's key projects
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: 2263162628
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.
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