MongoDB

MongoDB

Senior Software Engineer, SQL Engines

United States · Senior

Sponsorship not specified$126k-$248kDetected 3 days ago
JavaGoRustData StructuresAlgorithmsSQLMongoDBAWSGCPData VisualizationLeadershipCommunicationCollaborationProblem Solving

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odds of building a lasting career here

64Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level IV)94
Fits your clock70

Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 18 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card intent detected

MONGODB, INC. obtained a prevailing wage determination for Software Developers in San Francisco, CALIFORNIA on 2026-06-29. No matching green-card filing appears in our data yet. The determination expires in 21 days (2026-09-26), and a green-card filing must follow before then or the employer starts over.

Green-card follow-through: 59%

Of 17 labor certifications old enough to have been used, 7 expired without the employer filing the next step. Median time from filing to decision: 495 days.97% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

16 transfer filings in the last year, covering 16 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • 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.
  • 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.

Responsibilities

  • Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
  • 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
  • A drive to deliver tools that enable seamless integration between MongoDB and SQL-based workflows
  • Collaborate with product managers and customer experience teams to evaluate user needs and build features that provide an intuitive and delightful experience to customers

Requirements

  • Proficiency in at least one compiled language, and interest in working with Rust, Java and Go

Compensation

  • Salary is one part of MongoDB's total compensation and benefits package.
  • Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates.
  • MongoDB's base salary range for this role in the U.S. is:

Benefits

  • 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

Company info

  • With offices worldwide and over 67,000 customers, including AI-native startups and approximately 75% of the Fortune 100, relying on MongoDB for their most important applications, we're powering the next era of software.

This listing is sourced directly from MongoDB's careers page and normalized into a canonical job model.