Data Engineer Jobs in New York, United States

Lakehouse and AI Data Platform team at Goldman Sachs builds the firm’s modern data foundation for AI and analytics. The Data Engineer designs, builds, tests and supports batch and streaming pipelines, refactors legacy flows, and creates curated datasets that power reporting and AI use cases.

Data Engineering Team at CoreWeave builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making. The Staff Data Engineer defines and drives the architecture of the enterprise data ecosystem, leading cross-domain design, governance, and platform standards while mentoring senior engineers.

MoneyLion Data Platform & Martech Engineering team at Gen Digital builds scalable data foundations for analytics, marketing activation, and AI initiatives. The Senior Data Engineer designs, builds, and optimizes batch and streaming data pipelines, dimensional models, and semantic layers while partnering with product, analytics, and data science teams.

BlackRock’s Aladdin Engineering team seeks a Senior Data Architect/Data Engineer to build resilient systems powering global post-trade operations within the Post Trade Accounting (PTA) group. The role involves designing canonical data models, developing ELT/ETL pipelines in Snowflake and SQL Server, and ensuring data quality for enterprise reporting.

Technology Consulting – AI & Data – Enterprise Data – Data Engineering and Architecture team at EY builds data platforms and governance solutions for clients. The Manager leads engagement teams to design, implement and govern data pipelines, quality, integration and analytics, leveraging cloud, ETL and visualization tools.

Tessera Labs AI Automation builds multi‑agent AI systems that automate enterprise workflows across ERP platforms. The Senior Data Engineer designs and implements scalable ETL pipelines, data harmonization frameworks, and canonical data models to unify data from Sage, Oracle, NetSuite and other ERP systems.

The BlackRock Data Office (BDO) builds and advances the firm's enterprise data capabilities through trusted, scalable, and governed data products that power investment, business, operational, and technology outcomes across BlackRock. As an Associate Data Engineer, you will design, build, and optimize modern data platforms and pipelines, collaborating with product managers, data stewards, platform engineers, software engineers, data scientists, and business stakeholders to deliver reusable data c

Sales Data Services (SDS) within Amazon Advertising builds a big‑data platform that consolidates advertiser, seller and vendor KPIs for analytics, ML and decisioning. The Data Engineer designs, implements and supports data warehouse and lake infrastructure on AWS, creates ETL pipelines and enables self‑serve reporting for internal customers.

Data Engineer (Data Product) at a high-growth, venture-backed AI and data company building AI-powered marketing and revenue technology. The role sits at the intersection of data engineering, applied data science, and product development, focusing on deeply understanding messy consumer datasets, modeling them, and building production pipelines that turn raw signals into trusted, monetizable data products.

Data Engineer, Analytics Data Products at The New York Times builds and maintains ELT/ETL pipelines, designs data models, and manages data storage across GCP and AWS. The role focuses on Lakehouse architecture, using dbt, PySpark, and Spark compute services to deliver high‑quality, performance‑optimized data products. Responsibilities include data modeling, partitioning, tuning compute resources, implementing data quality checks, metadata management, and role‑based access control.

GCS Data Science team builds efficient, scalable ML models to help small and midsize businesses grow using Google solutions. As a Data Engineer you will design and implement data pipelines, reporting tools, and feature‑engineering frameworks that enable data scientists to develop and scale models, while collaborating with analysts and stakeholders across the organization.

Staff Data Engineer on the Search team at Google, building scalable data foundations that empower Search product excellence and growth. Own data engineering strategy for high‑stakes Search initiatives, designing multi‑stage data products that process data for billions of users and architect organization‑wide metrics convergence.

Data Science team at Stripe builds the data foundation for financial reporting and risk measurement. The Data Analyst designs, builds, and owns scalable data pipelines and ETL workflows, translating complex treasury finance requirements into clean, production‑grade datasets and self‑service analytics tools.

Senior Data Engineer on Photon Group’s Data Federation & Lakehouse team, building a unified, high‑performance data layer that lets analytics and AI teams query disparate sources as a single database. The role designs federated query layers with Starburst/Trino, develops scalable PySpark pipelines, and optimizes Delta Lake or Iceberg tables for ACID transactions and low latency.

Data & AI team at Capgemini builds enterprise data platforms leveraging Microsoft Fabric and EDM systems. The Data Engineer designs, builds, and maintains data quality rules, extracts, and scalable pipelines to ingest market data feeds into MS Fabric, including direct ingestion when needed.

Amazon Advertising's Sales Data Services (SDS) team builds big‑data platforms that deliver pan‑Amazon advertising datasets via data warehouses, fast APIs, and self‑serve reporting. The Data Engineer designs, implements, and supports AWS‑based data lake and warehouse infrastructure, creates ETL pipelines, and mentors peers while enabling internal customers to analyze advertising KPIs.

T-Mobile Advertising Solutions (T-Ads) builds privacy‑first advertising and data products powered by advanced machine learning, large‑scale data processing, and cloud technologies. As a Senior Data Engineer you will design and develop scalable big‑data pipelines, write robust Python, Spark and Scala code, and collaborate with data scientists and product managers to deliver data‑driven solutions.

Signal Intelligence team at Paramount Streaming builds trusted, decision‑ready data products from high‑volume, multi‑source ecosystems. The Senior Data Engineer designs, develops, and owns end‑to‑end data marts, pipelines, and visualizations, collaborating with analysts, data scientists, and product partners to enable AI and analytics use cases.

Etsy’s Data Platform team builds the infrastructure that powers data‑driven decision‑making across the organization. As Senior Engineering Manager, you will lead two teams—Data Collections and Streaming Data Platform—setting technical direction, ensuring reliable delivery, and partnering closely with product managers to shape the roadmap.