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Data Engineer Jobs in Buffalo, NY (NOW HIRING)

Data Engineer Overview: Are you an experienced Data Engineer who enjoys building scalable data solutions that support enterprise-wide operations, reporting, and analytics? StaffBuffalo is partnering ...

Data Engineer

Buffalo, NY · On-site

$110K - $133K/yr

Data Engineer Location: Rochester, NY Employment Type: Full-Time (W2 Only) Key Responsibilities: * Design, build, and maintain scalable data pipelines for batch and real-time data processing

Data Engineer

Buffalo, NY · On-site

$90K - $125K/yr

National Fuel is seeking a Data Engineer for an outstanding career opportunity in our Information Technology department at our Williamsville, NY headquarters. National Fuel is proud to have an ...

New

Data Engineer - Senior Manager

Buffalo, NY · On-site

$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 ...

Senior Snowflake Data Engineer

Boston, NY · On-site

$108K - $130K/yr

Itero Group is seeking an experienced Senior Snowflake Data Engineer to support enterprise data modernization initiatives for leading Financial Services clients. This individual will design, develop ...

Senior Cloud Data Engineer

Buffalo, NY · On-site

$102K - $139K/yr

The Senior Principal Cloud Data Engineer is a senior-level individual contributor responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure. This ...

Senior Cloud Data Engineer

Buffalo, NY · On-site +1

$102K - $139K/yr

The Senior Principal Cloud Data Engineer is a seniorlevel individual contributor responsible for defining, building, and evolving enterprise cloud data platform capabilities in Microsoft Azure. This ...

Senior Contact Center Data Engineer

Buffalo, NY · On-site

$102K - $139K/yr

The Senior Contact Center Data Engineer I is a senior individual contributor responsible for building scalable analytics solutions, guiding complex analysis, and helping mature the contact center ...

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Data Governance- Manager

Buffalo, NY · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Senior Analytics Data Engineer

Getzville, NY · Hybrid

$99K - $135K/yr

Provide technical guidance and mentorship to junior engineers and other team members as needed. Qualifications: * Must be proficient developing data pipelines utilizingdbt, GitHub and Airflow, or ...

New

The architect will work closely with engineering, product, and compliance teams to build secure, scalable, and regulatory-compliant data solutions. All solutions must align with the principles ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

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Data Engineer information

See Buffalo, NY salary details

$43.1K

$125.7K

$171.9K

How much do data engineer jobs pay per year?

As of Aug 29, 2026, the average yearly pay for data engineer in Buffalo, NY is $125,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,900.00 and $133,200.00 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 Buffalo, NY?

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

What are popular job titles related to Data Engineer jobs in Buffalo, NY?

For Data Engineer jobs in Buffalo, NY, the most frequently searched job titles are:

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

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

Infographic showing various Data Engineer job openings in Buffalo, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,993 per year, or $60.6 per hour.

Data Engineer

Williamsville, NY

StaffBuffalo
Recruiting and Staffing Services • 11 - 50 employees

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

Data Engineer

Overview:

Are you an experienced Data Engineer who enjoys building scalable data solutions that support enterprise-wide operations, reporting, and analytics? StaffBuffalo is partnering with a long-standing, highly respected energy organization to hire a Data Engineer, paying $120,000 to $150,000 annually plus bonus potential and outstanding benefits. This is an exciting opportunity to join a collaborative IT team supporting large-scale enterprise systems and mission-critical business operations.

In this role, the Data Engineer will design, develop, and maintain scalable data pipelines while supporting integrations across operational, financial, customer, and regulatory systems. You will collaborate closely with business stakeholders and technical teams to optimize ETL/ELT processes, strengthen data quality controls, and support enterprise reporting initiatives. This position is ideal for someone who enjoys solving complex data challenges, improving data accessibility, and supporting long-term enterprise technology initiatives.

This is a hybrid, in-person position in the Buffalo area, offering long-term career growth, strong internal support, and the opportunity to contribute to meaningful technology initiatives within a stable and community-focused organization.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines supporting enterprise integrations, data migration initiatives, and reporting needs
  • Collaborate with business stakeholders and application teams to define and support data requirements across operational, financial, regulatory, and customer systems
  • Develop, optimize, and maintain ETL/ELT processes to ensure data accuracy, completeness, and timeliness
  • Implement data quality checks, reconciliation processes, and monitoring controls to support auditability and compliance
  • Support enterprise analytics and reporting initiatives by curating trusted datasets for downstream users and systems
  • Document data mappings, workflows, technical specifications, and system designs for long-term maintainability
  • Partner with internal teams and external vendors to align data solutions with enterprise technology standards

Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field required
  • 10+ years of professional IT experience, including data engineering, data integration, or analytics-focused roles
  • Strong SQL skills and experience working with relational and NoSQL database platforms
  • Experience supporting enterprise systems such as ERP, CRM, CIS/Billing, or asset management platforms
  • Experience with cloud-based enterprise platforms and hybrid technology environments
  • Strong communication, documentation, and problem-solving skills
  • Experience supporting regulated industries such as utilities, energy, or financial services preferred

Benefits:

  • $120,000 to $150,000 annual salary plus bonus potential
  • Comprehensive medical, dental, and vision insurance coverage
  • 401(k) with company match and company-funded retirement savings programs
  • Flexible work schedule and generous paid time off
  • Paid company holidays, parental leave, and tuition reimbursement opportunities
  • Life insurance, long-term disability coverage, and flexible spending accounts
  • Long-term career growth within a stable, community-focused organization

#INDSBHIGH

The advertised pay range represents what we believe at the time of this job posting, that our client would be willing to pay for this position. Only in special circumstances, where a candidate has education, training, or experience that far exceeds the requirements for the position, would we consider paying higher than the stated range.

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