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Data Engineer Jobs in Peekskill, NY (NOW HIRING)

Long Finch Technologies

Sr. GCP Data Engineer

Saddle Brook, NJ · On-site

$120K - $144K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY · On-site

$127K - $137K/yr

Responsibilities As a Senior Data Engineer on DAPI's Tetris team, you will own the design and delivery of complex data engineering solutions that power NYBCe's enterprise analytics, AI, and reporting ...

Long Finch Technologies

Sr. GCP Data Engineer

Yonkers, NY · On-site

$118K - $142K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Long Finch Technologies

Sr. GCP Data Engineer

Paramus, NJ · On-site

$115K - $139K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Long Finch Technologies

Sr. GCP Data Engineer

New Milford, NJ · On-site

$128K - $154K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Long Finch Technologies

Sr. GCP Data Engineer

Haworth, NJ · On-site

$126K - $151K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Long Finch Technologies

Sr. GCP Data Engineer

Demarest, NJ · On-site

$125K - $151K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Long Finch Technologies

Sr. GCP Data Engineer

River Edge, NJ · On-site

$116K - $140K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

New York Blood Center

Senior Data Engineer

Rye, NY · On-site

$112K - $152K/yr

Responsibilities As a Senior Data Engineer on DAPI's Tetris team, you will own the design and delivery of complex data engineering solutions that power NYBCe's enterprise analytics, AI, and reporting ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY

$127K - $137K/yr

As a Senior Data Engineer on DAPI's Tetris team, you will own the design and delivery of complex data engineering solutions that power NYBCe's enterprise analytics, AI, and reporting capabilities.

Long Finch Technologies

Sr. GCP Data Engineer

Paterson, NJ · On-site

$116K - $139K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

New York Blood Center Inc

Senior Data Engineer

Rye, NY · On-site

$112K - $152K/yr

Responsibilities As a Senior Data Engineer on DAPI's Tetris team, you will own the design and delivery of complex data engineering solutions that power NYBCe's enterprise analytics, AI, and reporting ...

Long Finch Technologies

Sr. GCP Data Engineer

Cresskill, NJ · On-site

$126K - $151K/yr

Role Summary This is Client-Facing, Onshore role, Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google ...

Pwc

Data Engineer - Senior Manager

Stamford, CT

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Kforce Technology Staffing

Palantir Data Engineer

Armonk, NY · On-site

$123K - $147K/yr

Kforce has a client that is seeking a Palantir Data Engineer in Armonk, NY. Summary: We are seeking a skilled Palantir Foundry Data Engineer to support enterprise-scale data integration and ...

Deloitte

Data Engineer II

Stamford, CT · On-site

$122K - $146K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Archgroup

Manager, Data Engineer (Remote)

White Plains, NY · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Archgroup

Manager, Data Engineer (Remote)

White Plains, NY · Remote

$100K - $174K/yr

Own end-to-end data engineering delivery across the project lifecycle. * Build strong partnerships across the organization to align priorities anddeliverdata-related goals. * Design clear, analytics ...

Deloitte

Sr Databricks Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

idexcel

data engineer

Yonkers, NY · On-site

$118K - $142K/yr

Bachelor's Degree in Computer Science, 3+ years related IS experience and 2+ years in BI / data warehousing Solid understanding of data warehousing concepts, terminology, and architecture Excellent ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Peekskill, NY

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.
More about Data Engineer jobs

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:

Data Engineer jobs near you
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.

Sr. GCP Data Engineer

Saddle Brook, NJ • On-site

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

$120K - $144K/yr

Full-time

Posted 17 days ago

Job description

Role Summary

This is Client-Facing, Onshore role,  Senior GCP Data Engineering Lead will be responsible for leading large-scale cloud data modernization, migration, and analytics initiatives on Google Cloud Platform (GCP). The role requires strong hands-on expertise in BigQuery, Airflow/Cloud Composer, Python development, SQL optimization, and enterprise data migration programs. The candidate will act as the technical anchor for the engagement, partnering closely with business stakeholders, architects, QA teams, and offshore delivery teams to ensure successful execution of data engineering and analytics solutions.

Key Responsibilities

  • Lead end-to-end design and delivery of GCP-based data engineering and migration solutions.
  • Design, develop, and optimize scalable data pipelines using Cloud Composer (Airflow) and Python.
  • Build and manage enterprise data warehouses and analytics solutions using BigQuery.
  • Perform complex SQL troubleshooting, query optimization, and data validation across large datasets.
  • Drive data migration initiatives from legacy platforms to GCP while ensuring data integrity and regulatory compliance.
  • Conduct data analysis to identify quality issues, transformation requirements, and optimization opportunities.
  • Collaborate with business users, data architects, and cross-functional teams to translate requirements into scalable solutions.
  • Review code, enforce engineering best practices, and provide technical leadership to development teams.
  • Coordinate with QA teams to define test strategies, perform data reconciliation, and support defect resolution.
  • Support production deployments, troubleshooting, performance tuning, and operational excellence initiatives.

Required Skills & Qualifications

  • 10+ years of experience in Data Engineering, Analytics, and Cloud Data Platforms.
  • Strong hands-on experience with Google BigQuery.
  • Strong hands-on experience with Cloud Composer / Apache Airflow using Python.
  • Advanced SQL development, debugging, and performance tuning expertise.
  • Experience in large-scale Data Migration and Data Modernization programs.
  • Strong understanding of data modeling, ETL/ELT frameworks, and data warehousing concepts.
  • Experience working with structured and semi-structured datasets.
  • Knowledge of GCP services such as Cloud Storage, Dataflow, Dataproc, IAM, Monitoring, and Logging.
  • Experience with CI/CD pipelines and DevOps practices in cloud environments.
  • Understanding of Agile delivery methodologies.

Preferred Qualification.

  • Experience in Banking, Financial Services, or Wealth Management domains.
  • Exposure to Data Quality, Data Governance, and Metadata Management frameworks.
  • Knowledge of QA processes, test case creation, defect management, and data validation techniques.
  • GCP Professional Data Engineer Certification preferred.
  • Experience with migration from Teradata, Hadoop, Oracle, SQL Server, or other legacy platforms to GCP.

Soft Skills & Delivery Expectations

  • Excellent stakeholder management and client-facing communication skills.
  • Ability to lead distributed onshore-offshore teams.
  • Strong analytical and problem-solving capabilities.
  • High accountability for delivery outcomes.
  • Experience managing multiple workstreams within a fast-paced delivery environment.

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