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Data Engineer Jobs in Peekskill, NY (NOW HIRING)

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform. This role is responsible for owning the ...

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform. This role is responsible for owning the ...

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform. This role is responsible for owning the ...

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data infrastructure that powers our quantitative research platform. This role is responsible for owning the ...

Senior Data Engineer (JR229567)

Yonkers, NY · On-site

$110K - $149K/yr

Overview The Senior Data Engineer role within the data engineering vertical will play a pivotal role at the forefront of our data and analytics technology transformation initiatives. We are seeking ...

ERP Data Engineer

White Plains, NY · On-site

$102K - $128K/yr

This role is well-suited for Data Engineers with 2+ years of experience, with a strong interest in data analytics, system integration, GenAI, and digital transformation. In this role, you will work ...

Be Seen First

Senior Staff Data Engineer is a hands-on role and will be the primary architect and technical lead for the data infrastructure powering our next-generation Agentic AI products . Acting as a hands-on ...

Senior Data Engineer

White Plains, NY · On-site

$109K - $149K/yr

We are seeking a Senior Data Engineer to join our Data Services team, responsible for developing ETL workflows, API integrations, and ensuring smooth data integration and governance. Responsibilities ...

Showing results 41-60

Data Engineer information

See Peekskill, NY salary details

$46.5K

$135.5K

$185.5K

How much do data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data engineer in Peekskill, NY is $135,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,700.00 per year, depending on experience, location, and employer.

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.

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.

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.

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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. 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 or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

What are the most commonly searched types of Data Engineer jobs in Peekskill, NY?

The most popular types of Data Engineer jobs in Peekskill, NY are:

What cities near Peekskill, NY are hiring for Data Engineer jobs?

Cities near Peekskill, NY with the most Data Engineer job openings:

Infographic showing various Data Engineer job openings in Peekskill, NY as of August 2026, with employment types broken down into 85% Full Time, 7% Temporary, and 8% Contract. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $135,549 per year, or $65.2 per hour.

AI Data Engineer: Clinical Data Pipelines & Platforms

Tarrytown, NY • On-site

Initial Therapeutics, Inc.
Biotechnology Research and Development • 11 - 50 employees

$121K - $145K/yr

Other

Posted 10 days ago


Job description

Initial Therapeutics, Inc. is seeking a Data Engineer to contribute to our digital transformation initiatives, leveraging AI and machine learning to enhance clinical data infrastructures. You will develop data models, ensure standards compliance, and implement data governance strategies. This position offers flexibility for remote work or on-site collaboration in Armonk, NY or Warren, NJ.

Ideal candidates will possess an advanced degree in a relevant field and over 5 years of experience in data engineering solutions within life sciences. Join us in making a meaningful impact on patients worldwide!

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