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Data Engineer Jobs in Rye, NY (NOW HIRING)

Keystone

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The Data Engineer will lead the design and implementation of scalable data workflows and infrastructure, while mentoring junior engineers and collaborating with cross-disciplinary teams to deliver ...

Veolia Environnement SA

Data Engineer

Paramus, NJ · Hybrid

$169K - $175K/yr

The Data Engineer is responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support enterprise analytics, reporting, and AI initiatives. This role ensures ...

Arlo

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

They are seeking a Data Engineer to build and maintain data pipelines, ensuring reliable data infrastructure that supports underwriting and pricing models. Responsibilities : • Build and maintain ...

Cognition

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About the Role We're hiring a technical Data Engineer to own our full data stack - from database architecture and pipelines to instrumenting telemetry and owning integrations and reporting. You'll ...

fphny

Data Engineer

Astoria, NY · Hybrid

$125K - $128K/yr

Data Engineer Department: Department of Health and Mental Hygiene Division: Center for Population Health and Data Science Bureau: Data Technology and Strategy Location: 42-09 28th St, Long Island ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Data Engineer Duration: 6-12 months Location: Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key contributor, you will be responsible for integrating into ...

Orion Innovation

Data Engineer

Montvale, NJ

$119K - $143K/yr

Hands-on Azure Data Engineering and Python experience. * Databricks + PySpark familiarity, including: * Building/navigating workspaces and notebooks * PySpark read/write operations and basic ...

Sigma Computing

Data Engineer

New York, NY · On-site

$140K - $180K/yr

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...

MDMS Recruiting

Databricks Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer, Databricks Location: New York NY (4 days onsite), w2 only, local candidates only Duration: 6 Months Must have Data Modelling, Data Lake, Building Dashboard, and Databricks Databricks ...

Thesis

Data Engineer

New York, NY · On-site

About the role We are looking for a highly driven Data Engineer to help design, build, and scale the data foundations that power Thesis's AI agents, including owning critical client integrations. You ...

Redolent, Inc.

Sr. Data Engineer

Bethpage, NY · On-site

$117K - $140K/yr

Data Engineer Location: Bethpage, NY Key Responsibilities: • Data Pipeline Design and Implementation: Develop and implement scalable and reliable data pipelines using GCP services like BigQuery ...

Apptad, Inc.

Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer Location: NYC, NY We are seeking an experienced professional with strong expertise in Snowflake, Python, Oracle PL/SQL, and reporting/BI tools to deliver scalable data solutions and ...

Thesis

Data Engineer

New York, NY · On-site

About the role We are looking for a highly driven Data Engineer to help design, build, and scale the data foundations that power Thesis's AI agents, including owning critical client integrations. You ...

Baseten

Data Engineer

New York, NY · On-site

$180K - $250K/yr

THE ROLE We're hiring a Data Engineer to build and scale Baseten's internal data platform. This role sits at the intersection of data engineering, analytics, and data science, transforming raw ...

Summitpointaiglobal

DataBricks Data Engineer

New York, NY · On-site

$125K - $150K/yr

Databricks Data Engineer We are seeking a skilled and experienced Databricks Data Engineer to join our team. As a Databricks Data Engineer, you will be responsible for designing, developing, and ...

Forhyre

Data Engineer

New York, NY

$125K - $150K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Cape

Data Engineer

New York, NY · On-site

$125K - $150K/yr

As a Data Engineer at Cape, your mission is to build the analytics and reporting infrastructure that lets us understand our product and business without compromising the privacy guarantees we make to ...

Bedrock Robotics

Data Engineer

New York, NY · On-site

$125K - $150K/yr

We need a Senior Data Engineer who can work across the stack: tighten up our ingestion pipelines, write new ETL pipelines wherever needed, build out monitoring and alerting where we have blind spots ...

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Showing results 41-60

All JobsData Engineer JobsData Engineer Jobs in Rye, NY

Data Engineer information

See Rye, NY salary details

$47.2K

$137.5K

$188.1K

How much do data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data engineer in Rye, NY is $137,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,700.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience and proficiency with tools like SQL, Python, and cloud platforms.
More about Data Engineer jobs
What cities near Rye, NY are hiring for Data Engineer jobs? Cities near Rye, NY with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Rye, NY as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $137,452 per year, or $66.1 per hour.

Data Engineer

Keystone

Manhattan, NY • On-site

$126K - $151K/yr

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Keystone is a premier economics, technology, and strategy consulting firm that helps companies navigate transformation. The Data Engineer will lead the design and implementation of scalable data workflows and infrastructure, while mentoring junior engineers and collaborating with cross-disciplinary teams to deliver robust data solutions.
Responsibilities:
• Architect and implement end-to-end data pipelines, transformations, and infrastructure across cloud environments (AWS, GCP, Azure, Snowflake).
• Develop reproducible workflows using Infrastructure as Code and data orchestration tools (Airflow, dbt, Spark, or equivalent).
• Design data models and storage systems optimized for performance, scalability, and defensibility in regulatory and litigation contexts.
• Build and maintain reusable templates, libraries, and automation frameworks that improve engineering efficiency across projects.
• Conduct code reviews, mentor peers, and ensure technical rigor and reproducibility in all project deliverables.
• Partner with client-facing teams, economists, and data scientists to translate analytical goals into scalable, automated data solutions.
• Collaborate with Platform and Forensic Engineering peers to develop integrated solutions across Foundry focus areas.
• Support the design and delivery of data visualization and analytic tooling (e.g., Power BI, Tableau, Streamlit) for client and internal projects.
• Contribute to documentation and internal guides that capture lessons learned, reusable modules, and technical standards.
• Mentor junior engineers and foster adoption of best practices in data architecture, version control, testing, and CI/CD.
• Participate in Scaling Days to share learnings, refine templates, and advance the firm’s reusable engineering assets.
• Identify opportunities to generalize project solutions into reusable Foundry tooling and QuickStarts.
• Contribute to research and evaluation of emerging technologies (e.g., SQLMesh, OpenLineage, LLM data evaluation pipelines).
• Travel 10 – 25% depending on project assignments.
Qualifications:
Required:
• 6+ years of experience in data engineering, data infrastructure, or software engineering roles.
• Deep proficiency in Python, SQL, and modern data stack tools (Airflow, dbt, Spark, Snowflake, BigQuery, or equivalent).
• Strong understanding of cloud architecture and Infrastructure as Code (Terraform, CloudFormation, or similar).
• Experience with version control, CI/CD workflows, and containerization (Docker, Kubernetes).
• Proven ability to architect and optimize large-scale data systems for performance, reliability, and reproducibility.
• Excellent communication skills with the ability to convey technical concepts to non-technical audiences.
• Demonstrated collaboration across disciplines and commitment to mentoring and technical excellence.
• Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
Preferred:
• Prior experience at a consulting firm or matrix-based organization.
• Experience developing internal libraries, frameworks, or automation solutions.
• Familiarity with data governance, lineage tracking, or privacy-preserving techniques.
• Exposure to AI/ML data pipelines, LLM evaluation, or text analytics systems.
Company:
Keystone is an innovative strategy, economics, and technology consulting firm delivering transformative ideas and novel solutions to global brands and law firms on leading-edge challenges in technology, business, consumer goods, and science. Founded in 2003, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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