Staff Data Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Offered From the posting source checked Jun 20, 2026

Relocation assistance

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Childcare support

Offered From the posting source checked Jun 20, 2026

Learning budget

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Verification

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff Data Engineer Gurugram The Data Engineering team is responsible for building ETL pipelines that populate the Internal Data Platform, which drives analytics that help the company run more efficiently. Our team builds highly performant and scalable processes that extract massive datasets and makes those datasets available for querying in an optimal way. We are looking to speak to candidates who are based in Gurgaon for our hybrid working model. What you'll do - Guide the Data Engineering team on building highly performance ETL pipelines using Spark and other Big Data technologies - Help design the architecture of our Internal Data Platform to support the implementation of a robust medallion architecture - Provide thought leadership on ways to achieve infrastructure cost savings on Cloud hyperscalers - Design and build AI agents that can help automate many of the common development and support tasks that the team performs - Work with Security and Compliance teams to ensure that datasets have appropriate permissions and regulations in place - Work with our Data Platform, and Governance sibling teams to make data scalable, consumable, and discoverable We're looking for someone with - 10+ years experience working on enterprise data lakes/warehouses - 5+ years of Spark and Python experience - 5+ years of direct hands-on experience working with AWS or GCP - Thorough AI knowledge, particularly with codegen tools and agentic frameworks - Hive, Iceberg, Glue, or other technologies that expose big data as tables - Familiarity with different big data file types such as

Read the full description at www.mongodb.com. FewerJobs shows a preview and links to the original posting.