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.
New York, NY
Live, first seen by us 37 days agoWhat 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
Employment type in the employer’s posting: FULL_TIMEFrom the employer’s 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
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
- Previous experience in the physical sciences - Masters Degree Preferred About MSCI
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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.
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.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
- 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.
Complete your application on uscareers-msci.icims.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
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.
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.
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.
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.
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
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
What we offer you
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
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
New York, NY
Working pattern and location restrictions need checking in the full posting.
This passage needs a closer read in the full description.