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Senior Data Engineer

Pay
$125,000–163,000/yearPlus bonus — pay source
What we offer you Salary range: $125,000 - $163,000 / year plus eligible for annual bonus Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting

What you’ll work on

Full posting
  • Build and run data pipelines on local and cloud systems using GDAL, PostgreSQL, Python and Spark

  • Analyze raster and vector data at scale to find quality issues and suggest fixes

  • Run statistical analysis to validate hazard model predictions and assess uncertainty

  • Design and implement quality assurance checks on climate risk data and derived statistics

  • Help resolve customer support issues by running quality checks and explaining models

From the employer’s posting
Plan, execute and workflows on local and cloud-based environments, using technologies such as GDAL, PostgreSQL, Python, Spark
Analyze raster and vector data at scale to improve model accuracy, identify quality control issues, and develop suggested remedies for identified issues.
Perform statistical analysis to validate hazard model predictions and assess model uncertainties.
Design and implement quality assurance checks on the climate risk data and derived statistics
Assist in resolution of customer support issues through quality control checks and explanation of the models and risk statistics
Education & alternatives
Your skills and experience that will help you excel - Bachelor's Degree in Data or Climate Science, or a related field - 5+ years of professional experience
- Previous experience in the physical sciences - Masters Degree Preferred About MSCI
Apply at MSCI

Posting record

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Status in our records
Live
First seen by us
Oct 3, 202637 days ago
Recorded sightings
32
Last seen by us
Nov 9, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$125K–$163K against $127K–$190K, the middle half of what similar US postings state.

From 2,232 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 37

Similar jobs usually come down between day 5 and day 54.

From 12,127 similar postings that came down. Coming down is not always a hire.

MSCI is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • dbt
  • Excel
  • PostgreSQL
  • Spark
Where the posting names them
- Develop and implement processes for processing large volumes of hazard prediction data to improve risk assessment quality and accuracy. - Plan, execute and workflows on local and cloud-based environments, using technologies such as GDAL, PostgreSQL, Python, Spark - Analyze raster and vector data at scale to improve model accuracy, identify quality control issues, and develop suggested remedies for identified issues.
- Data operations: Experience with the design and use of databases, such as PostgreSQL - Programming: Proficiency with SQL queries to efficiently and reproducibly analyze complex datasets preferred. Additional languages like Python also required. - GIS knowledge: Experience with writing software to efficiently process and analyze with geospatial data using open source tools
- Experience in GIS and/or geospatial statistical analysis - Nice to have: experience in DBT and Spark What will make you stand out:
- Your skills and experience that will help you excel - Bachelor's Degree in Data or Climate Science, or a related field
- 5+ years of professional experience - Data operations: Experience with the design and use of databases, such as PostgreSQL - Programming: Proficiency with SQL queries to efficiently and reproducibly analyze complex datasets preferred. Additional languages like Python also required.

Your next step

Complete your application on uscareers-msci.icims.com. The employer’s form will show what is required.

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Already applied? Track this application

About MSCI

People
About 6,268 in 2025, up 2% from the year before.Annual report (SEC Form 10-K)
Company
Listed as MSCI.
H-1B visas
9 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 834, the most 1,326, and the latest week had 1,326.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Your Team Responsibilities

Team & Role Overview

We are looking for a Senior Data Engineer to join our team. The successful candidate will be someone who deeply cares about the environment, loves information technology, and appreciates the importance of data for the success of the First Street mission. They will assist in the ingestion of climate risk and ancillary data from First Street modelers and data partners, develop data pipelines, query geospatial databases, calculate applicable statistics, implement Quality Assurance and Quality Control processes, utilize geographical imagery, and ensure that databases and pipelines coordinate and synchronize with APIs, and web services. This individual’s expertise and leadership will enable all members of the Data Operations team to be successful in their roles.

 

Your Key Ressponsibilities

  • Provide technical support in the processing, analysis, and interpretation of geospatial observations and modeling data.

  • Develop and implement processes for processing large volumes of hazard prediction data to improve risk assessment quality and accuracy.

  • Plan, execute and workflows on local and cloud-based environments, using technologies such as GDAL, PostgreSQL, Python, Spark

  • Analyze raster and vector data at scale to improve model accuracy, identify quality control issues, and develop suggested remedies for identified issues.

  • Perform statistical analysis to validate hazard model predictions and assess model uncertainties.

  • Design and implement quality assurance checks on the climate risk data and derived statistics

  • Assist in resolution of customer support issues through quality control checks and explanation of the models and risk statistics

  •  

Your skills and experience that will help you excel

  • Bachelor's Degree in Data or Climate Science, or a related field

  • 5+ years of professional experience

  • Data operations: Experience with the design and use of databases, such as PostgreSQL

  • Programming: Proficiency with SQL queries to efficiently and reproducibly analyze complex datasets preferred. Additional languages like Python also required.

  • GIS knowledge: Experience with writing software to efficiently process and analyze with geospatial data using open source tools

  • Strong understanding of probability and statistics as applied to spatial data

  • Expertise using scripted languages to build data pipelines on both local and cloud-based systems

  • Proficiency with source control platforms such as Git

  • A science-based approach with a high degree of concern for reliability, accuracy and reproducibility

  • Experience in GIS and/or geospatial statistical analysis

  • Nice to have: experience in DBT and Spark

What will make you stand out:

  • Previous experience in the physical sciences

  • Masters Degree Preferred

About MSCI

 

What we offer you

  • Salary range: $125,000 - $163,000 / year plus eligible for annual bonus
  • Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
  • A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
  • Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
  • Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
  • We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

 

To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

 

Note on recruitment scams

We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Source details

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Pay
What we offer you Salary range: $125,000 - $163,000 / year plus eligible for annual bonus Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
Location & working pattern

New York, NY

Working pattern and location restrictions need checking in the full posting.

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