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Senior Python Developer Jobs in Albany, NY (NOW HIRING)

This role operates at the intersection of data science, data engineering, cloud analytics platforms ... Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow where appropriate) * SQL (advanced T-SQL ...

Senior Data Scientist

Troy, NY ยท On-site

$180K/yr

This role operates at the intersection of data science, data engineering, cloud analytics platforms ... Python (pandas, NumPy, scikitโ€‘learn, PyTorch/TensorFlow where appropriate) * SQL (advanced ...

Sr. Data Engineer

Albany, NY ยท On-site

$113K - $136K/yr

Sr. Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... data (Python, R, SQL, SAS). -Strong knowledge of big data analysis and storage tools and ...

Senior Tester Conducts automated and manual tests to ensure that the software created/upgraded ... programming languages experience in PL/SQL, JSON, Python, VB, .Net, HTML, VB Script. * 12 months of ...

Sr Lead Data Systems Engineering

Malta, NY

$108K - $147K/yr

Senior data engineering professional with strong technical solution design expertise, responsible ... Good Understanding of other programming languages Python, Java * Proven experience with large ...

As a Senior Embedded Computing Engineer, you will be responsible for architecting, implementing ... Java, Python, MATLAB, etc.). * 3- 7 years of experience with Linux driver and/or Linux kernel ...

... Python/Ansible) is essential. Responsibilities * Architect network solutions that meet business ... engineering, configuring and troubleshooting DMVPN, IPSEC, OSPF, and BGP to support secure ...

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Senior Python Developer information

See Albany, NY salary details

$54.6K

$141K

$193.6K

How much do senior python developer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for senior python developer in Albany, NY is $140,963.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,600.00 and $162,300.00 per year, depending on experience, location, and employer.

What are the main responsibilities of a senior Python developer?

A Senior Python Developer is responsible for designing, developing, and maintaining complex software applications using the Python programming language. They lead the technical aspects of projects, mentor junior developers, and ensure code quality through code reviews and best practices. Additionally, they collaborate with cross-functional teams to gather requirements, solve technical challenges, and deploy scalable and efficient solutions. Senior Python Developers are also expected to stay updated with the latest trends and advancements in Python and related technologies.

What are the key skills and qualifications needed to thrive as a senior Python developer?

To thrive as a Senior Python Developer, you need advanced proficiency in Python programming, experience with software architecture, and a solid understanding of algorithms and data structures, usually backed by a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and containerization tools like Docker are typically required, alongside knowledge of modern CI/CD pipelines. Strong problem-solving abilities, effective communication, and leadership skills help you collaborate with teams and mentor junior developers. Mastery of these skills ensures the delivery of scalable, maintainable software solutions and the ability to drive technical excellence within development teams.

What are some common challenges faced by senior Python developers when leading a development team?

Senior Python Developers often encounter challenges such as balancing hands-on coding with mentoring junior team members and ensuring code quality across the team. They are also responsible for making architectural decisions, which requires staying updated on best practices and emerging Python frameworks. Additionally, coordinating collaboration between cross-functional teams (like DevOps, QA, and front-end developers) can be complex, especially in agile environments where requirements may shift rapidly. Overcoming these challenges helps foster a productive and innovative team culture.

What is the difference between Senior Python Developer vs Python Developer?

AspectSenior Python DeveloperPython Developer
Required ExperienceTypically 5+ years, with leadership and complex project experienceUsually 1-3 years, focusing on core Python skills
ResponsibilitiesDesigning architecture, mentoring, handling complex systemsWriting code, debugging, implementing features
CertificationsOptional but beneficial (e.g., Python certifications, cloud certs)Often not required
Work EnvironmentCollaborative teams, project planning, code reviewsDevelopment-focused, task-oriented

The main difference between a Senior Python Developer and a Python Developer lies in experience, responsibilities, and leadership. Senior developers handle complex projects, mentor others, and often participate in architecture decisions, while Python Developers focus on coding and feature implementation. Both roles are essential in tech companies, but the senior role requires more experience and broader skills.

Are senior Python developers still in demand?

Senior Python developers remain in high demand due to the language's versatility in web development, data analysis, machine learning, and automation. Companies seek experienced developers with skills in frameworks like Django or Flask, and proficiency in cloud platforms and APIs enhances job prospects.

How much does a senior Python developer make?

A senior Python developer typically earns between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess strong skills in frameworks like Django or Flask and may hold certifications or advanced degrees that influence salary levels.

What does a senior Python developer do?

A senior Python developer designs, develops, and maintains complex software applications using Python. They often lead projects, review code, optimize performance, and collaborate with cross-functional teams, requiring strong problem-solving skills and knowledge of frameworks like Django or Flask. Additionally, they may mentor junior developers and ensure code quality through testing and best practices.

What are the most commonly searched types of Python Developer jobs in Albany, NY?

The most popular types of Python Developer jobs in Albany, NY are:

What are popular job titles related to Senior Python Developer jobs in Albany, NY?

For Senior Python Developer jobs in Albany, NY, the most frequently searched job titles are:

What job categories do people searching Senior Python Developer jobs in Albany, NY look for?

The top searched job categories for Senior Python Developer jobs in Albany, NY are:

What cities near Albany, NY are hiring for Senior Python Developer jobs?

Cities near Albany, NY with the most Senior Python Developer job openings:

Infographic showing various Senior Python Developer job openings in Albany, NY as of August 2026, with employment types broken down into 1% Internship, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $140,963 per year, or $67.8 per hour.

Senior Data Scientist

Versant Health

Troy, NY โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

Senior Data Scientist
Senior Data Scientist
Who are we?
Versant Health is one of the nation's leading administrators of managed vision care, serving millions of our clients' members nationwide. We are driven by our mission to help members enjoy the wonders of sight through healthy eyes and vision.
As a Versant Health associate, you can enjoy a comprehensive Total Rewards package, which includes health and dental insurance, tuition reimbursement, 401(k) with company match, pet insurance, no-cost-to-you vision insurance for you and your qualified dependents. We are also invested in your success. There are many opportunities for advancement and development throughout all stages of your career with us.
See how you can make a difference with the support of strong leadership and a team environment.
See Everything, Be Anythingโ„ข.
What are we looking for?
The Senior Data Scientist is a principal-level individual contributor responsible for architecting, delivering, and governing enterprise-grade advanced analytics and machine learning solutions that materially influence strategic decisions, financial performance, operational efficiency, and regulatory posture.
This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex, high-risk analytical initiatives-particularly within regulated healthcare environments.
The Senior Data Scientist is accountable not only for model development, but for explainability, stability, auditability, and long-term operational viability of analytical solutions deployed at scale within the Microsoft data ecosystem.
Where you will have an impact
  • Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise-level decision-making across healthcare, operations, finance, and customer/member domains.
  • Own end-to-end analytical solution lifecycle, including data discovery, feature engineering, modeling, validation, performance monitoring, retraining strategy, and retirement planning.
  • Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility-particularly where ground truth or forward-looking forecasts are limited.
  • Design analytics solutions natively within the Microsoft cloud analytics stack, ensuring alignment to enterprise data architecture and governance standards.
  • Partner closely with executive stakeholders, data engineering leaders, and platform owners to translate complex business questions into high-impact, production-ready analytics.
  • Lead and influence analytics standards without direct authority.
  • Define best practices for: model documentation, audit artifacts, model risk management, stability analysis, reproducibility, and controlled experimentation.
  • Guide and review work produced by other data scientists, analysts, and vendors to ensure technical rigor and business relevance.
  • Present complex analytical findings to senior leadership using clear narratives, decision-oriented visuals, and quantified trade-offs.
  • Proactively identify analytical risks, data limitations, and downstream impacts of modeling decisions.
  • Continuously evaluate emerging tools, methodologies, and Microsoft platform capabilities to drive modernization and performance gains.

What's necessary to do the job?
  • Master's degree in data science, statistics, mathematics, computer science, engineering, or related field required.
  • 7-10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data-rich environments.
  • Required: Prior experience in healthcare analytics (payer, provider, life sciences, or regulated healthcare data domains).
  • Prior acutrary experience a plus.
  • Proven experience deploying production analytics or ML solutions supporting mission-critical business processes.
  • Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow where appropriate)
  • SQL (advanced T-SQL optimization, analytical patterns)
  • ML explainability and governance techniques (e.g., SHAP-style approaches, stability testing)
  • Deep, hands-on, production experience across sizable portion of the Microsoft analytics ecosystem, including:
  • Microsoft Fabric (Lakehouse, Data Warehouse, Real-Time Analytics, Notebooks)
  • Azure Synapse Analytics (dedicated & serverless SQL pools)
  • Azure Data Factory (Fabric Data Pipelines)
  • Azure Data Lake Storage
  • Azure Machine Learning (model training, deployment, monitoring)
  • Power BI (semantic models, DAX optimization, executive dashboards)
  • Microsoft Purview (data cataloging, lineage, classification)

HIPAA & Security Requirements
All Associates must comply with the Health Insurance Portability Accountability Act of 1996 (HIPAA) as it pertains to disclosures of protected health information (PHI) as described in the Notice of Privacy Practices and HIPAA Privacy Policies and Procedures. As a component of job roles and responsibilities, Associates may have access to covered information, cardholder data or other confidential customer information which must be protected at all times. As a result, Associates must explicitly adhere to all data security guidelines established within the Company's Privacy & Security Training Program.
We offer a comprehensive and competitive total rewards package designed to support your health, financial well-being, and work-life balance. Benefits include medical, dental, and paid vision coverage; paid time off and company holidays; retirement savings with employer contribution; employee wellness resources; and professional development opportunities. Additional benefits may include flexible work arrangements, employee assistance programs, and other programs that support you both at work and beyond.
This role is compensated through a fixed annual salary. The expected salary range for this position is $170,000.00 - $180,000.00 annually, based on role scope, experience, and market considerations. This position is not eligible for bonus or incentive compensation.
Versant Health will never request money from candidates who seek employment with us and will never ask for any payment as part of the recruitment process.
Versant Health is a proud Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment at Versant Health without regards to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.