Senior Data Engineer

MSCI Inc. is seeking a Senior Data Engineer to support the ingestion and transformation of climate risk and ancillary datasets in a mission-driven environment. This onsite role in New York, NY focuses on building and operating geospatial data pipelines, validating model outputs, and ensuring strong data quality assurance and quality control across local and cloud workflows.

You will work on end-to-end processing that connects databases and pipelines with APIs and web services, while helping the Data Operations team deliver reliable geospatial analytics and risk assessment improvements.

Responsibilities

• Provide technical support for the processing, analysis, and interpretation of geospatial observations and modeling data.
• Develop and implement processes for large-volume hazard prediction data to improve risk assessment quality and accuracy.
• Plan and execute workflows across local and cloud environments using tools including GDAL, PostgreSQL, Python, and Spark.
• Analyze raster and vector data at scale to improve model accuracy, detect quality control issues, and propose remediation steps.
• Perform statistical analysis to validate hazard model predictions and quantify model uncertainties.
• Design and implement quality assurance checks for climate risk data and derived statistics.
• Support customer issue resolution through quality control checks and clear explanations of models and risk statistics.

Requirements

• Bachelor’s Degree in Data or Climate Science, or a related field.
• 5+ years of professional experience.
• Experience designing and working with databases, including PostgreSQL.
• Proficiency with SQL queries to analyze complex datasets efficiently and reproducibly (preferred).
• Additional proficiency with Python for data processing and analysis.
• Experience writing software to process and analyze geospatial data using open source tools.
• Strong foundation in probability and statistics applied to spatial data.
• Ability to build data pipelines with scripted languages on both local and cloud systems.
• Proficiency with Git or similar source control platforms.
• A science-based approach focused on reliability, accuracy, and reproducibility.
• Experience in GIS and/or geospatial statistical analysis.
• Nice to have: experience with DBT and Spark.

Technologies

• GDAL
• PostgreSQL
• Python
• Spark
• SQL
• Git
• DBT

Compensation & Benefits

• Salary range: USD 125,000 - 163,000 per year, plus eligibility for an annual bonus.
• Transparent compensation schemes and comprehensive employee benefits tailored to your location.
• Flexible working arrangements, advanced technology, and collaborative workspaces.
• A high-performance, innovation-oriented culture that supports experimentation and ownership.
• Global network of colleagues focused on sharing expertise and delivering for clients.
• Global Orientation program, access to Learning@MSCI, AI Learning Center, LinkedIn Learning Pro, and tailored learning opportunities.
• Multi-directional career paths, internal mobility, and expanded roles for ongoing growth.
• Inclusion-focused environment with eight Employee Resource Groups.

What Will Make You Stand Out

• Previous experience in the physical sciences.
• Master’s Degree preferred.

Team & Role Overview

MSCI is assembling a Senior Data Engineering function to support First Street’s mission by ingesting climate risk and ancillary data from First Street modelers and data partners. In this role, you will develop data pipelines, query geospatial databases, compute applicable statistics, implement QA/QC processes, and ensure database and pipeline coordination with APIs and web services. Your leadership and expertise will help enable success across the Data Operations team.