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Full Time Python Data Analysis Jobs in Rochester, NY

Constellation Brands

Senior Database Engineer

Rochester, NY · On-site +1

$113.50K - $177.60K/yr

This role requires deep understanding of data architecture,data engineering, data analysis ... Python, Scala, or Java. * Experience in AWS, hands-on work building and operating data pipelines ...

Amat

Technical Product Support Engineer IV

Rochester, NY

$116K - $159.50K/yr

Perform data analysis using MATLAB, Python, or similar utilities * Experience in firmware/software ... Up to 25% - Domestic an Additional Information Time Type: Full time Employee Type: Assignee ...

Rochester Regional Health

Total Rewards

Rochester, NY · On-site

$70K - $100K/yr

The role blends technical aptitude, data analysis, and cross-functional collaboration to help ... full time applicant. It may be modified in the future and eligible for additional pay components.

Micro Typing Systems

Senior Systems Engineer

Rochester, NY

$103.10K - $141.10K/yr

Contributes to output that improve development cycle time, ensure the quality of data analysis, and ... Python The Key Working Relationships Internal Partners: * Works cross-functionally: Marketing ...

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How much do full time python data analysis jobs pay per hour?

As of May 30, 2026, the average hourly pay for full time python data analysis in Rochester, NY is $57.84, according to ZipRecruiter salary data. Most workers in this role earn between $47.69 and $65.72 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Python Data Analyst, and why are they important?

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Python Data Analysis jobs in Rochester, NY? The most popular types of Python Data Analysis jobs in Rochester, NY are:
What are popular job titles related to Full Time Python Data Analysis jobs in Rochester, NY? For Full Time Python Data Analysis jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Full Time Python Data Analysis jobs in Rochester, NY look for? The top searched job categories for Full Time Python Data Analysis jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Full Time Python Data Analysis jobs? Cities near Rochester, NY with the most Full Time Python Data Analysis job openings:
Full Time Python Data Analysis jobs near you
Infographic showing various Full Time Python Data Analysis job openings in Rochester, NY as of May 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 100% In-person job distribution, with an average salary of $120,307 per year, or $57.8 per hour.
Senior Database Engineer

Senior Database Engineer

Constellation Brands, Inc.

Rochester, NY • On-site

$113.50K - $177.60K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago

Constellation Brands rating

8.8

Company rating: 8.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

17th of 378 rated food and drinks producers

Job description

Job Description
Position Summary:
Senior Database Engineer will work closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. These solutions will generate insights from the organization's connected data, enabling the organization to advance the data-driven decision-making capabilities of the organization's enterprise. This role requires deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.
Duties, Responsibilities & Essential Functions
  • Design, develop, optimize, and maintain data architecture and pipelines that adhere to data engineering principles and business goals
  • Solve complex data problems to deliver insights that helps the organization's business to achieve their goals
  • Create data products for analytics and data scientist team members to improve their productivity
  • Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
  • Foster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions
  • Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering in order to improve the organization's productivity as a team
  • Develop and deliver communication and education plans on data engineering capabilities, standards, and processes
  • Partner with Product Analysts, Product Owners, and Solutions Architects to develop technical architectures for strategic enterprise projects and initiatives.
  • Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Required Qualifications / Skills:
  • Bachelor's degree required; Computer Science, MIS, or Engineering preferred
  • 5 years of experience working in data engineering or architecture role, 7+ preferred
  • Hands-on Snowflake experience, particularly in designing and optimizing data models and pipelines with a focus on performance and cost optimization.
  • Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
  • Experience in AWS, hands-on work building and operating data pipelines using services such as S3, IAM, EC2/ECS, Lambda, or Glue
  • Experience with dbt (models, tests, documentation) is preferred
  • Expertise with an orchestration platform such as Airflow
  • Proficiency in Software Development & CI/CD
  • Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
  • Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

#LI-GT1
Location
Rochester, New York
Additional Locations
Chicago, Illinois, San Antonio, Texas
Job Type
Full time
Job Area
Information Technology
The salary range for this role is:
$113,500.00 - $177,600.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. Our compensation is based on cost of labor. For remote locations or positions open to multiple locations, the pay range may reflect several US geographic markets, including the lowest geographic market minimum to the highest geographic market maximum. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but not limited to, the prevailing minimum wage for the location, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, any collective bargaining agreements, and business or organizational needs. At Constellation Brands, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.
Equal Opportunity
Constellation Brands is committed to a continuing program of equal employment opportunity. All persons have equal employment opportunities with Constellation Brands, regardless of their sex, race, color, age, religion, creed, sexual orientation, national origin or citizenship, ancestry, physical or mental disability, medical condition (cancer or genetic characteristics), marital status, gender (including gender identity or gender expression), familial status, military or veteran status, genetic information, pregnancy, childbirth, breastfeeding, or related conditions (or any other group or category within the framework of the applicable discrimination laws and regulations).

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