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Data Analyst Github Jobs in Rochester, NY (NOW HIRING)

MegazoneCloud

Senior Data Engineer - GCP

Rochester, NY · On-site

$145K - $165K/yr

... 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 ...

micro1 AI

Bioinformatics Software Engineer

Rochester, NY · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational ... clinical data sources. * Provide expert insights on structure-activity and structure-property ...

Pwc

CTIO AI Engineering Manager

Rochester, NY

$73K - $244K/yr

You will work on developing predictive models, conducting statistical analysis, and creating data ... using GitHub Actions - Implementing vector databases and orchestration tools like LangChain ...

Lovingly

Senior Next.js Engineer

Hopewell, NY · On-site

$123K - $163K/yr

Work with DevOps on CI/CD optimization using GitHub Actions and Docker * Establish AI-augmented ... Drive data-driven decisions with AI insights * Monitor frontend KPIs using predictive analytics

MegazoneCloud

Sr. Full Stack Engineer

Rochester, NY · On-site

$145K - $165K/yr

Data engineering & analytics enablement. Pipelines, transformation layers, and reporting datasets ... Drive infrastructure-as-code with Terraform (or CloudFormation/CDK) and build CI/CD in GitHub ...

Lovingly

DevOps Solutions Engineer

Hopewell, NY · On-site

$53.25 - $73/hr

... data-driven . We embrace a hybrid work model , blending remote flexibility with in-person ... Architect and manage GitHub Actions CI/CD pipelines for our Nx-based monorepo , optimizing for Next ...

Paychex

Manager, Software Engineering I

Webster, NY

$117K - $184K/yr

As Paychex and Paycor come together, we're combining innovative technology, data-driven insights ... AI tools and platforms: enterpriseapproved code assistants (e.g., GitHub Copilot, Claude Code ...

Paychex

Manager, Software Engineering I

Webster, NY · On-site

$117K - $184K/yr

As Paychex and Paycor come together, we're combining innovative technology, data-driven insights ... AI tools and platforms: enterprise-approved code assistants (e.g., GitHub Copilot, Claude Code ...

All JobsData Analyst Github JobsData Analyst Github Jobs in Rochester, NY

Data Analyst Github information

See Rochester, NY salary details

$33.6K

$81.6K

$134.2K

How much do data analyst github jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analyst github in Rochester, NY is $81,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a data analyst at GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

How does a data analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

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

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

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

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What are popular job titles related to Data Analyst Github jobs in Rochester, NY?

For Data Analyst Github jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Data Analyst Github jobs in Rochester, NY look for?

The top searched job categories for Data Analyst Github jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Data Analyst Github jobs?

Cities near Rochester, NY with the most Data Analyst Github job openings:

Data Analyst Github jobs near you
Infographic showing various Data Analyst Github job openings in Rochester, NY as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 82% Full Time, 11% Part Time, 1% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $81,575 per year, or $39.2 per hour.

Senior Data Engineer - GCP

MegazoneCloud

Rochester, NY • On-site

$145K - $165K/yr

Full-time

Posted 10 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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