Rochester, NY

Data Jobs in Rochester, NY

5 jobs found

Include remote jobs

Today

Data Engineer

Mindex Rochester, NY

Rochester, NY

Today

$90k - $140k/yr Full time Amazon Web Services Analytics Application Security

Apply Now

Job Description

Mindex is hiring a Data Engineer to design cloud-native pipelines and analytics solutions for SchoolTool’s interactive dashboards.

Responsibilities

Build, test, scale, and maintain cloud-native data pipelines, data models, and warehouse structures for SchoolTool dashboards and analytics
Develop analytics solutions using Python, Apache Spark, Snowflake, SQL, NoSQL, and BI tools such as Amazon QuickSight, Tableau, or Power BI
Deliver large-scale, complex data solutions from data discovery and cleaning through model selection, validation, and deployment
Work directly with customer stakeholders, aligning execution with their roadmap and vision
Act as a primary point of contact when needed for stakeholder communication
Independently deliver well-defined data solutions and contribute to technical design decisions
Build technical and non-technical connections within your team, across Mindex delivery teams, and with customer stakeholders
Apply AI-assisted engineering practices and the AI DLC across planning, design, development, testing, documentation, and troubleshooting
Use an AI-first mindset to improve productivity, accelerate problem-solving, enhance quality, automate routine tasks, and support innovation

Requirements

AS or BS degree in Computer Science, Software Engineering, Physical Science, Mathematics, or a related field (preferred) or an equivalent combination of education and experience
3-5 years of data engineering experience, including implementing a data pipeline for an enterprise application
Experience with OLTP and OLAP databases
Hands-on experience with serverless platforms such as AWS Lambda and/or AWS Glue
Experience with infrastructure as code using AWS CloudFormation and Terraform
Familiarity with DevOps tools such as AWS CodePipeline, Azure DevOps, or GitLab
Strong communication skills to explain complex information to team members and customer stakeholders
Strong analytical, critical-thinking, and problem-solving skills with a focus on exceptional customer service
Highly organized and accurate, with strong initiative and follow-through
Comfort working independently and collaboratively in a self-organizing team, asking questions when needed and giving and accepting feedback
Use AI to augment expertise and decision-making while maintaining ownership, accountability, and professional judgment for final outcomes
Identify opportunities to use AI to streamline workflows, reduce manual effort, improve efficiency, and increase business value
Stay aware of emerging AI capabilities, tools, and best practices and proactively apply them in the workplace
Use AI technologies ethically, securely, and in a compliant manner while protecting confidential customer and company information
AWS Certification (Associate or Foundational) or applicable industry certifications (plus)

Technologies

Python, Apache Spark, Snowflake, SQL, NoSQL
Amazon QuickSight, Tableau, Power BI
AWS Lambda, AWS Glue, AWS CloudFormation, Terraform
AWS CodePipeline, Azure DevOps, GitLab

Benefits

Flexible Time Off
Medical, Dental, and Vision Insurance
401(k) with Company Match
Company-Paid Life and Disability Insurance
Professional Development Opportunities

Location and Work Requirements

Rochester, NY (onsite)
Candidates within approximately 35 miles of Rochester, NY may be asked to work from the office more frequently based on business or team needs
Occasional in-person participation is required

Licenses & Certifications

AWS Certification (Associate or Foundational) or applicable industry certifications (plus)

Additional Information

Applicants must be authorized to work for any employer in the United States
Mindex is unable to sponsor employment visas at this time

Physical Requirements/Conditions

Prolonged periods sitting at a desk and working on a computer
No heavy lifting expected; exertion of up to 10 lbs

Salary: USD 90,000 - 140,000 per year

View full job page →

5d ago

Machine Learning Engineer

Sign-Speak Inc Rochester, NY

Rochester, NY

5d ago

$120k - $160k/yr Full time Ai Ml Artificial Intelligence Data & Ai

Apply Now

Job Description

Sign-Speak Inc is building AI systems for sign language recognition and communication. The Machine Learning Engineer role supports the full model lifecycle, from training and optimization through GPU-accelerated pipelines and production deployment, including execution on local devices.

Role Responsibilities

Develop, train, evaluate, and continuously improve machine learning models for sign language recognition and communication systems.
Implement and experiment with machine learning architectures and techniques described in research papers.
Optimize models for accuracy, latency, throughput, and computational efficiency.
Build and improve GPU-accelerated training and inference pipelines.
Apply performance optimization techniques such as model quantization, pruning, and other improvements.
Deploy and maintain machine learning models in production environments.
Develop and optimize models for execution on local devices, including smartphones and other edge computing platforms.
Integrate machine learning models into real-time applications.
Improve machine learning infrastructure, model serving, and deployment workflows.
Investigate performance bottlenecks across model execution, memory utilization, and hardware acceleration.
Evaluate tradeoffs between model accuracy, inference speed, and computational resource requirements.
Write and execute technical design documents.
Collaborate with research and engineering teams to convert experimental models into production-ready solutions.

Required Qualifications

Degree in Computer Science, Machine Learning, Artificial Intelligence, Computer Engineering, or equivalent professional experience.
Experience developing, training, and evaluating machine learning models.
Proficiency in Python and familiarity with commonly used machine learning frameworks.
Experience implementing or adapting machine learning techniques from research papers.
Understanding of neural networks, deep learning architectures, and model optimization.
Experience developing or deploying machine learning models in production or other performance-constrained environments.
Strong understanding of GPUs and hardware-accelerated machine learning.
Familiarity with model inference optimization and performance benchmarking.
Understanding of software engineering principles, backend systems, and machine learning pipelines.
Willingness to learn and work in a fast-paced startup environment.

Preferred Qualifications

PhD.
Knowledge of the Deaf and Hard of Hearing (D/HH) community is always preferred; if unfamiliar, support for learning is available.

Technologies

Python
PyTorch
TensorFlow
CUDA
ONNX Runtime
TensorRT
Core ML
TensorFlow Lite
LiteRT
MLOps

Preferred Technical Experience Areas

PyTorch, TensorFlow, or similar machine learning frameworks.
GPU computing and optimization, including CUDA.
Deep learning model training, fine-tuning, and evaluation.
Model quantization, pruning, distillation, and compression.
Model inference optimization using technologies such as ONNX Runtime or TensorRT.
MLOps, model serving, and deployment pipelines.
On-device machine learning deployment using Core ML, TensorFlow Lite/LiteRT, or similar frameworks.
Optimizing models for mobile GPUs, NPUs, or other edge accelerators.
Real-time machine learning inference and low-latency AI applications.
Computer vision, video understanding, human pose estimation, or related applications.
Sequence modeling, multimodal machine learning, or transformer-based architectures.
Distributed model training and cloud-based GPU infrastructure.
Performance profiling, memory optimization, and hardware-aware model development.

Compensation and Benefits

Base salary: $120,000–$160,000 annually.

Health insurance
Dental insurance
Vision insurance
Paid time off
Professional development support
stock options

Work Location

Onsite in Rochester, NY. This role requires living in the Upstate New York region (examples include Syracuse, Buffalo, or Rochester). In-person in Rochester is preferred.

Equipment and Workplace Requirements

Regular use of a computer and related equipment is required.
A reliable internet connection is required.
Sign-Speak will provide a work-issued laptop, monitor, and other standard workstation equipment.
Additional development equipment or access to specialized computing resources will be provided based on position needs.

Visa Sponsorship

Sign-Speak sponsors H1B transfer but does not support new H1B sponsorship at this time.

Additional Notes

People with a criminal record are encouraged to apply.

Disclaimer

All requirements are subject to possible modification to reasonably accommodate individuals with disabilities.
This description does not state or imply that duties listed are the only duties performed by employee(s).
Employees must follow other position-related instructions and perform other duties as reasonably requested.
Sign-Speak reserves the right to add to or revise duties in accordance with applicable law.
This document does not create an employment contract, implied or otherwise, other than an at-will employment relationship.

View full job page →

1mo ago

Sr Data Analyst, Simon Admissions

University of Rochester Rochester, NY

Rochester, NY

1mo ago Closed

$64k - $96k/yr Full time Senior Admissions Advanced Analytics

This position is no longer accepting applications (closed Oct 27, 2026).

Job Description

Support institutional decision-making by turning admissions and financial data into predictive models, forecasts, and leadership-ready insights.

Responsibilities

Build predictive models to support:
- Application and enrollment yield
- Financial aid impact on student decision-making
- Revenue optimization and discount rate management
Create short- and long-term enrollment forecasts by:
- Program
- Modality
- Student segment
Develop revenue projections incorporating:
- Tuition
- Scholarships
- Institutional aid
- Enrollment scenarios
Run scenario modeling (best case, expected, worst case) to inform leadership planning and budget development
Analyze admissions funnel data from inquiry through enrollment to identify:
- Trends
- Conversion drivers
- Growth opportunities
Develop dashboards and recurring reports for:
- Application volume
- Yield
- Financial aid utilization
- Net tuition revenue
- Cohort performance
Monitor KPIs related to enrollment, discount rate, melt, retention, and revenue
Ensure data accuracy and integrity across CRM, SIS, financial aid, and finance systems
Analyze scholarship effectiveness and ROI
Support aid packaging strategy by modeling award elasticity and enrollment outcomes
Partner with Finance to align enrollment forecasts with institutional budget planning
Evaluate pricing strategies and program-level profitability
Translate analytical findings into recommendations for Admissions, Financial Aid, and senior leadership
Support recruitment strategy by identifying high-value student segments and markets
Present insights to cross-functional stakeholders using clear visualizations and narratives
Provide ad hoc analysis for leadership initiatives and special projects
Perform other duties as assigned

Requirements

Ability to translate complex data into actionable insights
Excellent verbal and written communication skills, with the ability to present complex information clearly and concisely
Strong problem-solving skills with a strategic mindset
Experience with data visualization tools such as Tableau, Power BI, or similar
Strong understanding of statistical analysis and predictive modeling
Strong experience with SQL and Excel
Experience building predictive models and forecasts using R, Python, or advanced Excel
Demonstrated ability to analyze large datasets and communicate insights clearly
Knowledge of admissions funnels, financial aid processes, and tuition revenue concepts

Technologies

Tableau
Power BI
SQL
Excel
R
Python
CRM
SIS

Minimum Education & Experience

Bachelor's degree and 5 years of relevant experience required
2 years of experience in higher education, enrollment management, or finance preferred
Or an equivalent combination of education and experience

Location: Rochester, NY (onsite)

Salary: USD 64,200 - 96,200 per year

View full job page →

4mo ago

Project - Data Engineer

Deloitte Rochester, NY

Rochester, NY

4mo ago Closed

$57k - $96k/yr Full time Apache Airflow AWS Azure Data Factory

This position is no longer accepting applications (closed Jul 28, 2026).

Job Description

This on-site role is based in Deloitte’s Rochester, NY delivery hub, where data engineering drives analytics outcomes for clients. The Project - Data Engineer focuses on building and refining data pipelines on AWS and Snowflake, delivering analytics-ready datasets, and boosting data quality and observability within project delivery teams. The salary range for this role is USD 57,300 to 95,500 per year.

Responsibilities

Design and improve AWS-based data pipelines using Python to ingest, transform, and supply data to Snowflake and downstream consumers.
Create and maintain Snowflake schemas, tables, and views, and implement efficient SQL transformations to yield analytics-ready datasets.
Set up workflow automation and scheduling using Airflow or MWAA, Step Functions, or Glue, including dependencies, retries, and logging.
Incorporate data quality checks and basic observability (validation rules, reconciliations, alerts) and assist with incident triage and remediation.
Optimize pipelines and queries following best practices, including efficient Python code, S3 partitioning and file formats (Parquet, Delta), and Snowflake warehouse tuning.
Adhere to CI/CD and IaC standards, utilizing Git-based workflows and Terraform or CloudFormation changes to promote code across environments.
Collaborate with analysts, product owners, and source-system teams to clarify requirements and validate outputs, and participate in sprint ceremonies and estimations.
Contribute to code reviews, write and review unit tests, assist with peer debugging, and adopt team engineering standards.
Communicate regularly with Engagement Managers, Directors, project teammates, and diverse functional or technical stakeholders, escalating issues that require engagement management attention.
Lead client engagement workstreams, independently or with others, focused on process improvement, optimization, and transformation, including implementing best-practice workflows and addressing quality deficits to drive operational outcomes.

Requirements

Over one year of experience building and enhancing data pipelines and curated datasets for analytics and downstream consumers.
At least one year of hands-on SQL and Python experience, including Snowflake and/or PySpark for transformations and scalable processing.
Minimum of one year in cloud data engineering on AWS (preferred) or Azure/GCP, with orchestration/scheduling using Airflow/MWAA, Step Functions, Glue, or ADF/Fabric Data Factory.
Understanding of ELT patterns and lakehouse/warehouse concepts; familiarity with S3 file formats and partitioning such as Parquet or Delta.
Working knowledge of DevOps practices, including Git-based workflows and CI/CD, plus exposure to Infrastructure-as-Code tools such as Terraform or CloudFormation.
Understanding of data quality, basic observability, and metadata/governance fundamentals.
Bachelor’s degree, ideally in computer science, information technology, computer engineering, or a related IT discipline, or equivalent experience.
Limited immigration sponsorship may be available.
Ability to travel approximately 10 percent on average, depending on client engagements.

Technologies

Python
AWS
Snowflake
PySpark
Airflow
MWAA
Step Functions
Glue
S3
Parquet
Delta
Git
Terraform
CloudFormation
Azure Data Factory
Fabric Data Factory

Benefits

Discretionary annual incentive program (subject to rules)

The Team

AI & Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to me

Preferred

Experience delivering projects in Agile environments.
Strong analytical skills to manage multiple projects and prioritize tasks into clear work products.
Ability to work independently or with minimal supervision.
Excellent written and verbal communication skills.
Ability to present technical demonstrations.

View full job page →

4mo ago

Research Data Engineer II- Cabin

University of Rochester Rochester, NY

Rochester, NY

4mo ago Closed

$77k - $116k/yr Full time Big Data Clinical Data Data Analysis

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

This onsite role designs, develops, and maintains data engineering and analytics infrastructure to support MRI research and neuroimaging workflows within the URMC CABIN environment, building scalable data pipelines and data integration frameworks for multimodal research data.

Responsibilities

Designs, develops, and maintains data engineering and analytics infrastructure to support MRI research, neuroimaging workflows, and multimodal scientific data analysis within the URMC CABIN research environment.
Builds and supports scalable data pipelines and software systems that enable researchers to collect, process, manage, and analyze structured and unstructured research data generated from MRI scanners, imaging analysis tools, and related research platforms.
Develops data integration frameworks that aggregate information from multiple sources including imaging systems, research databases, clinical systems, and analysis environments.
Supports the implementation and maintenance of research data infrastructure such as data repositories, data lakes, and workflow automation systems used in MRI and neuroscience research.
Collaborates with researchers, engineers, and IT teams to deliver reliable, scalable, and reproducible data and software solutions that support scientific discovery and advanced imaging analysis workflows.

Requirements

Bachelor's degree in Data Science, Computer Science, Biomedical Informatics, Bioinformatics, Statistics, Engineering, or a related field (required)
2+ years of experience in data engineering, research computing, or data-intensive scientific environments (required)
An equivalent combination of education and experience may be considered (required)
Strong programming experience in SQL and at least one additional language such as Python, R, or Java (required)
Experience building and maintaining ETL pipelines and research data workflows (required)

Technologies

SQL
Python
R
Java
Docker
Singularity
Git
REDCap
electronic lab notebooks
biospecimen management systems
DICOM
NIfTI
Linux
HPC
cloud infrastructure
data lakes
data repositories

Knowledge, Skills and Abilities

Strong analytical and problem-solving abilities
Ability to design scalable and maintainable data architectures
Strong organizational and project coordination skills
Ability to work effectively in collaborative and matrix research environments
Excellent written and verbal communication skills for interacting with researchers and technical teams
Ability to present technical concepts clearly to both technical and non-technical stakeholders
Attention to detail and commitment to high-quality data and software practices

Location

Rochester, NY onsite

Salary

USD 77,216 - 115,824 per year

View full job page →

Data Jobs in Rochester, NY

Data Engineer

Machine Learning Engineer

Sr Data Analyst, Simon Admissions

Project - Data Engineer

Research Data Engineer II- Cabin

Get Data Jobs in Rochester, NY alerts