Top 63 Data engineer Jobs in Greenwich, Ct

Data Engineer - Commodities
Millennium Management —Greenwich, CT
- $175,000 - $250,000 a year
- Mid-level
- SQL
- 4 years
Data Engineer
Berkley —Greenwich, CT
- Full-time
- Computer Science
- System design
- Master's degree
Data Engineer - Senior Associate
PRICE WATERHOUSE COOPERS —Stamford, CT
- $77,000 - $202,000 a year
- Mid-level
- AWS
- Fair chance
- Paid holidays
- Health insurance
Databricks Data Engineer II
Deloitte —Stamford, CT
- $86,700 - $170,900 a year
- Full-time
- Azure
- Computer Science
- Up to 50% travel
4d
Software Engineer, Data Infrastructure & Acquisition - Stamford, CT, USA
Speechify —Stamford, CT
- $140,000 - $200,000 a year
- Full-time
- Remote
- Computer Science
- 5 years
- Bachelor of Science
2d
Senior Data Engineer
Trexquant Investment —Stamford, CT
- $150,000 - $200,000 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- Maintenance
- Commuter assistance
- Dental insurance
Quick Apply
8d
ERP Data Engineer
New York Power Authority —White Plains, NY
- $102,000 - $128,000 a year
- Computer science
- Computer Science
- Bachelor of Science
Data Engineer - Project Delivery Specialist
Deloitte —Stamford, CT
- $102,750 - $171,250 a year
- Full-time
- 7 years
- Azure
- Computer Science
Data Engineer
Innodata Inc. —Ridgefield Park, NJ
- $100,000 - $120,000 a year
- Remote
- SQL
- AWS
- APIs
Quick Apply
Senior Data Engineer
Deloitte —Stamford, CT
- $95,000 - $150,000 a year
- Full-time
- Computer Science
- SQL
- Bachelor's degree
Data Engineer
iSynergy IT —New York, NY
- $125,379.13 - $159,789.92 a year
- Contract
- Computer Science
- DevOps
- Master's degree
Quick Apply
2d
Senior or Staff Data Engineer
Arccos Golf —Stamford, CT
- Hybrid work
- 6 years
- System design
- SQL
- Health insurance
- Dental insurance
Lead Data Engineer
Deloitte —Stamford, CT
- $134,500 - $265,100 a year
- Full-time
- Azure
- Up to 50% travel
- Master's degree
12h
Data Operations Engineer (USA)
Trexquant Investment —Stamford, CT
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Commuter assistance
- Dental insurance
Quick Apply
Sr Databricks Data Engineer
Deloitte —Stamford, CT
- $116,200 - $229,100 a year
- Full-time
- Azure
- Management
- Computer Science
6d
Agentic AI, AI & Data Science Engineer
Deloitte —Stamford, CT
- $122,000 - $240,500 a year
- Full-time
- Computer Science
- Up to 50% travel
- Mid-level
12d
Senior Data Engineer
New York Blood Center Inc —Rye, NY
- $127,000 - $137,000 a year
- Full-time
- 6 years
- Computer Science
- HIPAA
Data Engineer - Senior Manager
PRICE WATERHOUSE COOPERS —Stamford, CT
- $124,000 - $280,000 a year
- Azure
- 8 years
- AWS
- Paid holidays
- Health insurance
Cyber AI Data Engineer Senior Consultant
Deloitte —Stamford, CT
- $105,400 - $207,800 a year
- Full-time
- Java
- SQL
- Bachelor's degree
Data Engineer - Research Informatics
Montefiore Einstein —Yonkers, NY
- $128,000 - $160,000 a year
- Full-time
- Computer Science
- 5 years
- System design

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Data Engineer - Commodities

Millennium Management -
Greenwich, CT

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Job Details

$175,000 - $250,000 a year

Qualifications

Version control
Data Integration (Data management)
GitHub Actions
SQL
ETL process automation
Airflow
Developing automated testing protocols
Quality check automation
DevOps automation
Python
Database software proficiency

Full Job Description

Data Engineer - Commodities

The Commodities Technology team builds and operates the data platform that aggregates and curates critical commodities data, including weather, supply/demand, storage, transportation and other fundamental and alternative datasets. This curated “content layer” is central to how our Portfolio Managers and researchers understand markets and construct trades.

We are seeking a Commodities Content Engineer who will focus on building robust ETL workflows and data models on top of our commodities data platform.

In this role, you will use Python and SQL to design, implement and maintain pipelines that ingest, clean, transform, and catalog commodities datasets. You will work closely with quantitative researchers, data analysts, and the broader Commodities Technology team to translate domain requirements into well‑structured, reliable data assets that can be easily discovered and reused across strategies.

This is a hands‑on engineering role with significant exposure to commodities data and the opportunity to shape how that data is represented and consumed across the firm.

Key Responsibilities:

Design and implement end‑to‑end ETL workflows in Python and SQL to ingest and transform commodities data from multiple vendors and internal sources.
Build and maintain standardized data models, schemas, and metadata that make commodities datasets easy to understand and discover within the platform.
Use Airflow (or similar tools) to schedule, monitor, and manage data pipelines, ensuring reliability and timely delivery.
Implement robust validation, reconciliation, and anomaly‑detection checks to ensure data completeness, correctness, and consistency.
Leverage AI to automate schema inference across structured and semi-structured data sources, manage schema drift, and accelerate development of scalable ingestion pipelines.
Apply AI-driven data quality, observability, and documentation capabilities to detect anomalies, monitor data health, and generate clear lineage and technical documentation across complex data workflows.
Leverage Git, GitHub Actions, and automated testing (PyTest) to maintain high‑quality code and repeatable deployments.
Partner with commodities PMs, researchers, and data strategists to understand use cases and continuously refine datasets, definitions, and documentation.

Required Qualifications:

4 years of experience in data engineering, analytics engineering, or similar roles focused on building and maintaining ETL pipelines.
Strong skills in Python and SQL, with experience working with large datasets and complex transformations.
Hands‑on experience with Airflow or other workflow schedulers.
Familiarity with version control (Git), CI/CD pipelines (GitHub Actions or equivalent), and test automation (e.g., PyTest).
Strong attention to detail, data quality and documentation; ability to reason for edge cases and data integrity.
Ability to work independently, communicate clearly with both technical and non‑technical stakeholders, and manage work across multiple concurrent initiatives.

Preferred Qualifications:

Knowledge of commodities markets and commodities data (e.g., weather, supply/demand, storage, freight, flows).
Experience with data warehousing technologies (e.g., Snowflake, columnar storage formats, or analytic databases).
Prior experience in a financial services, trading, or research driven environment.
Exposure to data catalog / data governance tools and best practices.

The estimated base salary range for this position is $175,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package. When finalizing an offer, we take into consideration an individual’s experience level and the qualifications they bring to the role to formulate a competitive total compensation package.

Apply Now

Refine Your Search

data engineer jobs in greenwich, ct

Data Engineer - Commodities

Data Engineer

Data Engineer - Senior Associate

Databricks Data Engineer II

Software Engineer, Data Infrastructure & Acquisition - Stamford, CT, USA

Senior Data Engineer

ERP Data Engineer

Data Engineer - Project Delivery Specialist

Data Engineer

Senior Data Engineer

Data Engineer

Senior or Staff Data Engineer

Lead Data Engineer

Data Operations Engineer (USA)

Sr Databricks Data Engineer

Agentic AI, AI & Data Science Engineer

Senior Data Engineer

Data Engineer - Senior Manager

Cyber AI Data Engineer Senior Consultant

Data Engineer - Research Informatics

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