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Full Time Python Data Analysis Jobs in Rochester, NY

MegazoneCloud

Senior Data Engineer - GCP

Rochester, NY · On-site

$145K - $165K/yr

... Analytics & AI Looker, Power BI, Vertex AI, Gemini What You Bring * 5-8+ years of professional data engineering experience. * Deep, expert-level proficiency with Python . * Deep, expert-level ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site

$113K - $135K/yr

Work closely with internal teams, including data engineers, data scientists, analytics engineers ... The benefits described apply to full-time employees. Benefits for part-time, contract, and intern ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$113K - $135K/yr

Work closely with internal teams, including data engineers, data scientists, analytics engineers ... UNAVAILABLEEmployment Type: FULL_TIME

Corning

Optical Design Engineer

Fairport, NY · On-site

$112K - $155K/yr

Macro development in CODE V, and data analysis and script development in MATLAB or Python. * Solid ... The range for this position is $112,902.00 - $155,240.00 assuming full time status. Starting pay ...

Corning

Optical Design Engineer

Fairport, NY · On-site

$112K - $155K/yr

Macro development in CODE V, and data analysis and script development in MATLAB or Python. * Solid ... The range for this position is $112,902.00 - $155,240.00 assuming full time status. Starting pay ...

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All JobsPython Data Analysis JobsFull Time Python Data Analysis JobsFull Time Python Data Analysis Jobs in Rochester, NY

Full Time Python Data Analysis information

See Rochester, NY salary details

$13

$57

$85

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

As of Aug 21, 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 is a full time python data analyst?

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 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 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 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 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 August 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 Data Engineer - GCP

MegazoneCloud

Rochester, NY • On-site

$145K - $165K/yr

Full-time

Posted 13 days ago

Job description

About Megazone Cloud
We're not just another cloud company. We're a scrappy startup, funded by Asia's largest cloud provider, building the next generation of data solutions from the ground up. We're a team of builders, thinkers, and problem-solvers. If you're tired of red tape and want to build impactful, cutting-edge systems while having your voice heard, you've found your home.
Who We're Looking For
Megazone Cloud is looking for a Senior Data Engineer to help lead and define our data-driven culture on Google Cloud. You are a "builder" at heart, a seasoned expert who thrives on solving complex problems. You have a startup mentality, a thirst for knowledge, and the ability to lead projects and mentor others.
You have deep expertise in data architecture and data wrangling, and you are a master of Python, SQL, and BigQuery. You've architected platforms that other people's businesses run on, and you know the difference between a pipeline that works and a pipeline that survives contact with the real world.
At L5 you lead ambiguous projects from conception to delivery and act as the technical point of contact for a client workstream. You're a "force multiplier" - your presence makes the engineers around you better.
What You'll Do
  • Architect, build, and lead: Architect and own scalable, high-performance data platforms and pipelines on Google Cloud - not just maintain them.
  • Define the data ecosystem: Drive the strategy for a client's data environment, leveraging BigQuery and the GCP data stack to create powerful, efficient data models.
  • Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and run rigorous, kind code reviews.
  • Face the client: Lead technical discussions in your workstream - demos, working sessions, architecture reviews, and knowledge-transfer workshops - and translate business requirements into technical decisions.
  • De-risk: Prototype solutions, evaluate new services, and surface risks before they become escalations.
  • Collaborate and multiply: Act as a key "force multiplier" within our cross-functional US and offshore teams, and mentor junior engineers into engineers you'd want on your next project.
  • Be a flexible leader: Embrace a "builder" mentality. In a startup, you'll have the flexibility to solve diverse challenges, and your voice will be critical in shaping our technical roadmap.
The Stack We Build On
Layer
What we build with
Warehouse & compute
BigQuery - partitioning, clustering, authorized views, BI Engine, BigQuery ML
Ingestion & streaming
Datastream, Pub/Sub, Dataflow, Cloud Functions / Cloud Run, Cloud Storage
Transformation
Dataform or dbt - SQL models, assertions/tests, Git-based workflows
Orchestration
Cloud Composer (Airflow), Cloud Workflows, Eventarc
Governance & catalog
Dataplex / Knowledge Catalog - glossary, policy tags, lineage, column-level security
Observability
Cloud Monitoring + Logging - SLIs/SLOs, alerting, data quality metrics
IaC & CI/CD
Terraform, GitHub Actions, Secret Manager, least-privilege IAM
Analytics & AI
Looker, Power BI, Vertex AI, Gemini
What You Bring
  • 5-8+ years of professional data engineering experience.
  • Deep, expert-level proficiency with Python.
  • Deep, expert-level proficiency with SQL.
  • Hands-on, expert-level experience with BigQuery and the wider Google Cloud data stack.
  • Hands-on experience with a SQL transformation framework - Dataform or dbt.
  • Deep expertise in designing and architecting scalable data platforms, including batch and streaming ingestion patterns.
  • Strong infrastructure-as-code practice - Terraform (or equivalent) and CI/CD.
  • Proven ability to lead complex, ambiguous projects from conception to delivery.
  • Experience mentoring other engineers and helping to level up the team.
  • Exceptional communication skills, the flexibility to think fast, and the credibility to present a decision to technical and non-technical audiences alike.
  • A "builder" mindset, a startup mentality, and a genuine thirst for knowledge.
Bonus Points (Nice-to-Haves)
  • Experience with GenAI, AI/ML frameworks, and MLOps - including data modeling and metadata that gets a client ready for agentic workloads.
  • Looker / LookML, Power BI, or other BI tooling on top of a cloud warehouse.
  • Change-data-capture and real-time streaming at production scale.
  • Data governance and catalog work - glossary, policy tags, lineage, data contracts.
  • Cross-platform depth - AWS, Databricks, or Snowflake. We meet clients where they are.
  • Certifications in GCP, Databricks, Snowflake, or AWS.
Why You'll Love It Here
  • Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth.
  • True Servant Leadership: Our CTO leads with a "force multiplier" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves.
  • Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems.
  • A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures.

We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.
Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.

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