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Data Engineer Jobs in Schenectady, NY (NOW HIRING)

PIP Global

Data Architect-1994

Latham, NY · On-site

$61.75 - $79.25/hr

This role bridges enterprise data architecture, data engineering, and AI enablement by ensuring data is semantically rich, governed, observable, and operationalized for use by Agentic AI, copilots ...

InterSources Inc

Sr. Data Developer

Albany, NY · On-site

InterSources Inc is seeking a Sr. Data Developer to design and develop service-based data integration architectures. The role involves building ELT pipelines, establishing integration layers, and ...

Agelix Consulting

Data Developer

Albany, NY · On-site

Data Developer Albany, NY Architect and support the integration of data between various source systems (mix of legacy and distributed) and transactional database by architecting/developing interfaces ...

InstantServe LLC

Data Analyst

Albany, NY · On-site

The contractor will also perform data management and analytic tasks including researching and documenting technical designs, programming solutions, writing and executing unit test plans, researching ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex, high ...

Versant Health

Senior Data Scientist

Troy, NY · On-site

This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex ...

The Hertz Corporation

Sr Data Scientist

Albany, NY · On-site

$89.25 - $120.75/hr

You will work closely with data engineers, analysts, software developers and product managers within the business to deliver new and exciting products and services. Your main objective is to leverage ...

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Showing results 21-40

All JobsData Engineer JobsData Engineer Jobs in Schenectady, NY

Data Engineer information

See Schenectady, NY salary details

$43.1K

$125.5K

$171.7K

How much do data engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer in Schenectady, NY is $125,504.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,800.00 and $133,000.00 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 are the most commonly searched types of Data Engineer jobs in Schenectady, NY? The most popular types of Data Engineer jobs in Schenectady, NY are:
What are popular job titles related to Data Engineer jobs in Schenectady, NY? For Data Engineer jobs in Schenectady, NY, the most frequently searched job titles are:
What cities near Schenectady, NY are hiring for Data Engineer jobs? Cities near Schenectady, NY with the most Data Engineer job openings:
Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Schenectady, NY as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 3% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,504 per year, or $60.3 per hour.

Senior Data Architect / Data Engineer

Jahnel Group

Schenectady, NY • On-site, Remote

$65 - $87/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Jahnel Group's mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work.
We get to build some of the most complex and compelling applications for our clients located across the country. We're a fast-growing INC 5000 recognized company, yet we still work as a very close-knit team (100+ employees). We're growing like crazy, and if you're looking for the next place to call home, hit us up for a beer or coffee.
Who We're Looking For
We're looking for a Senior Data Architect / Data Engineer to help lead a complex data transformation and migration initiative. This is a highly senior, architecture-heavy role focused on making sense of data across approximately 11 legacy systems and helping shape a unified or semi-unified data model.
The ideal candidate has strong data modeling judgment, can quickly understand messy and inconsistent source data, and knows when a canonical model makes sense versus when it will create unnecessary complexity. You'll also be expected to stay hands-on, writing and shipping scripts for migration and transformation while providing technical guidance to less experienced data team members.
Instead of the typical job description, here's a breakdown of the tasks and qualities we're looking for in our next team member:
Primary Responsibilities
  • Design and guide data architecture for a complex transformation and migration initiative spanning approximately 11 legacy systems.
  • Analyze highly varied source data, potentially including roughly 400 form variants and source structures.
  • Develop unified or semi-unified data models that balance consistency, flexibility, and long-term maintainability.
  • Make thoughtful architectural decisions around canonical data models, mappings, transformations, and source-specific variations.
  • Write and ship scripts quickly to support data migration, transformation, validation, and cleanup.
  • Identify data quality issues, inconsistencies, and structural gaps across legacy systems and develop practical solutions.
  • Collaborate with technical and business stakeholders to understand existing data structures and future-state requirements.
  • Provide technical guidance and mentorship to junior and mid-level data team members.
  • Help establish patterns and best practices that reduce rework and support future data initiatives.
Skills and Qualifications
  • 8+ years of experience in data engineering, data architecture, or a closely related field.
  • Strong experience designing data architecture and data models for complex enterprise environments.
  • Proven experience working with legacy systems and large-scale data transformation or migration efforts.
  • Strong understanding of relational data modeling, data structures, schemas, mappings, and normalization.
  • Demonstrated ability to determine when a canonical data model is appropriate and when a more flexible approach is needed.
  • Strong SQL skills and the ability to quickly write scripts for data transformation and migration.
  • Experience with Google Cloud Platform (GCP) and cloud-based data environments.
  • Comfortable working hands-on while also making high-level architectural decisions.
  • Strong problem-solving skills and the ability to bring structure to ambiguous or messy data environments.
  • Experience mentoring or advising other data engineers and helping less experienced team members grow.
  • Experience with Git-based development workflows; GitLab experience is a plus.
  • Excellent communication skills and the ability to explain complex technical concepts to both technical and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is preferred.
  • Candidates must be legally authorized to work in the U.S. without current or future sponsorship.
What Makes Someone Successful in This Role
  • Thinks like an architect but isn't afraid to write the code.
  • Enjoys solving messy, ambiguous data problems.
  • Has strong judgment around data modeling and long-term maintainability.
  • Can quickly understand unfamiliar legacy systems and identify patterns across inconsistent data.
  • Balances architectural strategy with the ability to execute and deliver.
  • Communicates clearly and enjoys mentoring other technical team members.
  • Thinks ahead about scalability, maintainability, and avoiding unnecessary rework.
Where We're Looking For It
Schenectady, New York
100% Remote for the right candidate
Other Information
The work hours will be approximately 9:00 AM to 5:00 PM EST depending on workload, with occasional flexibility required to support business-critical initiatives.
We work with security-conscious clients, therefore background checks may be required. Compensation is dependent upon experience, qualifications, and location.

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