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Data Engineer Data Analyst Jobs in Buffalo, NY (NOW HIRING)

Jobsultant Solutions

Data Analyst

Buffalo, NY

Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from ...

Pwc

Data Strategy-Manager

Buffalo, NY

$99K - $232K/yr

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

Pwc

Data Governance- Manager

Buffalo, NY · On-site

$99K - $232K/yr

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

StaffBuffalo

Data Engineer

Williamsville, NY

$120K - $150K/yr

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 ...

Pwc

Data Engineer - Senior Manager

Buffalo, NY · On-site

$124K - $280K/yr

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

National Fuel Gas Company

Data Engineer

Buffalo, NY · On-site

$90K - $125K/yr

National Fuel is seeking a Data Engineer for an outstanding career opportunity in our Information ... Support enterprise reporting and analytics initiatives by curating trusted datasets for downstream ...

Openkyber

Data Engineer

Buffalo, NY · On-site

$110K - $133K/yr

Job Title: Data Engineer Location: Rochester, NY Employment Type: Full-Time (W2 Only) Key ... Work with data architects, analysts, and stakeholders to ensure data quality and accessibility

Pwc

Data Strategy & Governance -Director

Buffalo, NY · On-site

$155K - $410K/yr

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

M&T Bank

Enterprise Data Analyst Senior

Buffalo, NY · On-site

$103K - $171K/yr

Mentoring junior analysts. This role encompasses a comprehensive analysis lifecycle, covering ... clear direction to data engineers to enhance current data products in collaboration with ...

M&T Bank

Enterprise Data Analyst Senior

Buffalo, NY · On-site

$103K - $171K/yr

Mentoring junior analysts. This role encompasses a comprehensive analysis lifecycle, covering ... clear direction to data engineers to enhance current data products in collaboration with ...

LAWLEY AGENCY, LLC

Technical Data Analyst

Buffalo, NY · On-site

Support BI Developer with internal QlikView requests such as dashboards, reports, and provide end ... Analyze data from multiple sources (QlikView, Salesforce, Epic, Excel, SQL) for report and ...

Mindlance

Data Analyst - Senior

Getzville, NY · On-site

$80K - $101K/yr

They are seeking a Senior Data Analyst who will provide strategic and tactical support by analyzing and interpreting data to develop creative solutions. Responsibilities : • Assuring the integrity ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Buffalo, NY

Data Engineer Data Analyst information

See Buffalo, NY salary details

$32.9K

$80.1K

$131.7K

How much do data engineer data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for data engineer data analyst in Buffalo, NY is $80,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,500.00 and $94,000.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

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

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

What job categories do people searching Data Engineer Data Analyst jobs in Buffalo, NY look for?

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

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

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

Data Engineer Data Analyst jobs near you
Infographic showing various Data Engineer Data Analyst job openings in Buffalo, NY as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 75% In-person, 10% Hybrid, and 15% Remote job distribution, with an average salary of $80,051 per year, or $38.5 per hour.

Data Analyst

Buffalo, NY

Jobsultant Solutions
See more jobs at Jobsultant Solutionsexternal

Full-time

Re-posted 15 days ago

Job description

We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the worlds largest providers of products and services to the global energy industry.

Job Description & Responsibilities:
Data Scientist under general supervision will perform data engineering, data modeling and model deployment.
Analyze large scale complex business data (time series data, structured/unstructured) from various data sources and draw insights
Leverage common open-source Machine Learning/Deep Learning packages for identifying data patterns and/or building predictive models
Conduct statistical analysis to determine trends and significant data relationships
Keep up to date with latest Machine Learning and Artificial Intelligence advancements
Work with data engineers to design and construct data pipelines for reproducible analysis
Leverage cloud computing technologies like Microsoft Azure and distributed computing technologies like Apache Spark
Present results of analyses, including design of graphs, charts, tables, and other data visualizations

Qualifications:
Industry experience in predictive modeling, data science and analysis.
Knowledge of Machine Learning frameworks and packages, including Keras, TensorFlow, Scikit-Learn and cloud computing platforms like Azure.
Experience handling terabyte size datasets, diving into data to discover hidden patterns and using data visualization tools.
Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.
Demonstrated teamwork, strong communication skills, and collaborative in complex engineering projects.
Completion of an undergraduate degree in STEM. Master's degree in STEM is preferred.

Candidates having qualifications that exceed the minimum job requirements will receive consideration for higher level roles given (1) their experience, (2) additional job requirements, and/or (3) business needs.

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