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Data Engineer Jobs in Buffalo, NY (NOW HIRING)

Openkyber

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

Judge Group, Inc.

Data Engineer

Buffalo, NY · On-site

$70 - $75/hr

Data Engineer Duration: 12 months+ Open Contract Location: Buffalo, NY remote Interview information: Single 90-minute technical interview Must Haves: * Project Management * Strong database experience:

Pwc

Data Engineer - Manager

Buffalo, NY · On-site

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 ...

Pwc

Data Engineer - Senior Associate

Buffalo, NY · On-site

$77K - $202K/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 ...

Pwc

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 ...

Itero Group

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 ...

M&T Bank

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 ...

M&T Bank

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 ...

Geico

Senior Contact Center Data Engineer

Buffalo, NY

$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 ...

Pwc

Data Strategy-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 ...

Pwc

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 ...

1 point system

Data Solution Architect

Buffalo, NY · On-site

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 ...

Pwc

GenAI Python Systems Engineer-Manager

Buffalo, NY · On-site

$99K - $232K/yr

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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All JobsData Engineer JobsData Engineer Jobs in Buffalo, NY

Data Engineer information

See Buffalo, NY salary details

$43.2K

$126K

$172.4K

How much do data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data engineer in Buffalo, NY is $125,993.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,600.00 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

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

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

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The top searched job categories for Data Engineer jobs in Buffalo, NY are:

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

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

Data Engineer jobs near you
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

Openkyber

Buffalo, NY • On-site

$110K - $133K/yr

Full-time

Re-posted 21 days ago

Job description

 Job Title: Data Engineer
 Location: Rochester, NY

 Employment Type: Full-Time (W2 Only)
 

Job Description:

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines for batch and real-time data processing
  • Develop ETL/ELT processes to ingest, transform, and store large volumes of structured and unstructured data
  • Work with data architects, analysts, and stakeholders to ensure data quality and accessibility
  • Optimize data workflows and troubleshoot pipeline failures or performance issues
  • Implement data governance, security, and compliance best practices
  • Collaborate with DevOps and cloud teams to deploy and monitor data solutions

Required Skills:

  • 8+ years of experience in data engineering or related roles
  • Strong experience with SQL, Python, or Scala
  • Hands-on with data pipeline tools: Apache Spark, Airflow, Kafka, NiFi, or similar
  • Expertise in cloud platforms: AWS (Glue, Redshift, S3), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow)
  • Familiarity with data warehousing concepts and tools
  • Experience with version control (Git) and CI/CD pipelines
  • Strong problem-solving and communication skills

Preferred Qualifications:

  • Experience with Delta Lake, Snowflake, or Databricks
  • Knowledge of infrastructure-as-code tools like Terraform or CloudFormation
  • Familiarity with data security frameworks and compliance (HIPAA, GDPR, etc.)
  • Exposure to big data ecosystems: Hadoop, Hive, Presto, etc.

If interested please share your resume @ joshnar@openkyber.com