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Data Engineer Jobs in Fishkill, NY (NOW HIRING)

Bespoke Labs

Data Engineer

Danbury, CT

$116K - $140K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Danbury, CT · On-site

$116K - $140K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Subway

Sr. Data Engineer

Danbury, CT

$108K - $147K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business focused on what ...

Inizio Partners

Senior AWS Data Engineer

Bedford, NY

$112K - $152K/yr

Provide technical leadership and mentorship to junior data engineers. * Ensure compliance with industry standards and best practices in data engineering. * Utilize knowledge of insurance ...

Accenture

Google Data Specialist

Carmel, NY · On-site

$70K - $196K/yr

You Are A hands-on Specialist with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Subway

Director, Data Engineering

Danbury, CT

$184K - $230K/yr

Director, Data Engineering - Shelton, CT Ready to build what's next with one of the world's most iconic brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a ...

Robert Half

IT Director(Data)

Poughkeepsie, NY · On-site

$160K - $250K/yr

Define and drive the organization's data strategy, aligning governance, engineering, and analytics priorities with broader business goals. * Lead and develop teams responsible for data management ...

Hudson Valley Credit Union

Data Steward

Poughkeepsie, NY · On-site

... Engineering. * Ensure data handling practices align with the credit union's Information Security Standards and Procedures * (ISSP), Data Governance Charter, and regulatory obligations (GLBA, NCUA ...

Hudson Valley Credit Union

Data Steward

Poughkeepsie, NY · On-site

... Engineering. * Ensure data handling practices align with the credit union's Information Security Standards and Procedures * (ISSP), Data Governance Charter, and regulatory obligations (GLBA, NCUA ...

Crystal Run Healthcare

Data Architect

Middletown, NY

$64 - $82.25/hr

Work closely with Business Intelligence Analysts, Data Analysts and Software Developers to ensure customer needs are being met in the areas of reporting and analytics. * Design and develop highly ...

Crystal Run Healthcare

Data Architect

Middletown, NY · On-site

$64 - $82.25/hr

Work closely with Business Intelligence Analysts, Data Analysts and Software Developers to ensure customer needs are being met in the areas of reporting and analytics. * Design and develop highly ...

Element Materials Technology

Data Processor

Danbury, CT · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of ... Propose engineering documents for clients' approval, on-site installation and hands-on monitoring ...

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All JobsData Engineer JobsData Engineer Jobs in Fishkill, NY

Data Engineer information

See Fishkill, NY salary details

$44.4K

$129.4K

$177.1K

How much do data engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data engineer in Fishkill, NY is $129,400.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $137,200.00 per year, depending on experience, location, and employer.

Is a data engineer a difficult job?

A data engineer role involves designing, building, and maintaining data pipelines and infrastructure, which requires strong programming skills, knowledge of databases, and familiarity with tools like SQL, Python, and cloud platforms. The job can be challenging due to the complexity of managing large-scale data systems and ensuring data quality and security, but it is manageable with proper training and experience.

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 are Data Engineers?

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.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipelines. Entry-level positions may be available for those with relevant internships, certifications, or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect prior experience or demonstrated technical competence.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within large tech companies. Such compensation often includes bonuses, stock options, and other incentives. These roles typically require strong programming, cloud platform expertise, and a deep understanding of data architecture.
More about Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Fishkill, NY? The most popular types of Data Engineer jobs in Fishkill, NY are:
What job categories do people searching Data Engineer jobs in Fishkill, NY look for? The top searched job categories for Data Engineer jobs in Fishkill, NY are:
What cities near Fishkill, NY are hiring for Data Engineer jobs? Cities near Fishkill, NY with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Fishkill, NY as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $129,400 per year, or $62.2 per hour.

Data Engineer

Bespoke Labs

Danbury, CT

$116K - $140K/yr

Full-time

Re-posted 16 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

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