ZipRecruiter

Log In

1

Data Engineer Ml Jobs in Rochester, NY (NOW HIRING)

Bespoke Labs

Data Engineer

Rochester, NY · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Bespoke Labs

Data Engineer

Geneseo, NY · On-site

$110K - $132K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

MegazoneCloud

Data Engineer

Rochester, NY · On-site

$110K - $140K/yr

Experience with GenAI , AI/ML frameworks, and MLOps. * Certifications in Databricks, Snowflake, or AWS. Why You'll Love It Here * Our Product is Our People: We live by this. We invest in people who ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site

$98K - $160K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site

$98K - $160K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

Overview The Data Solutions Engineer will play a key role in integrating, architecting, and ... Collaborate on the integration of AI/ML platforms, ensuring seamless multi-cloud and hybrid cloud ...

Pwc

Data Strategy-Manager

Rochester, NY · On-site

$99K - $232K/yr

... Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data governance frameworks - Understanding of modern cloud data architectures - Knowledge of data ...

Pwc

Data Governance- Manager

Rochester, NY · On-site

$99K - $232K/yr

... Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon ...

Pwc

GenAI Python Systems Engineer-Manager

Rochester, NY

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... and ML solutions to drive innovation and enhance business processes. Your work will involve ...

Innovative Solutions

AI Data Architect

Rochester, NY · On-site +1

$150K - $200K/yr

Design SageMaker ML pipelines for training, Model Registry, and inference * Lead data discovery ... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ...

Innovative Solutions

AI Data Architect

Rochester, NY · Remote

$150K - $200K/yr

Design SageMaker ML pipelines for training, Model Registry, and inference * Lead data discovery ... Data Engineer Specialty preferred) * Python for data pipelines (Glue jobs, Lambda, SageMaker ...

Honeywell

Data Scientist II

Pittsford, NY · On-site

... ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and ...

Honeywell

Advanced Data Scientist

Pittsford, NY · On-site

$130/hr

... ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and ...

Honeywell

Data Scientist II

Pittsford, NY · Hybrid

... ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and ...

Honeywell

Data Scientist II

Pittsford, NY · Hybrid

... ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and ...

Lthc

AI Engineer I/II

Rochester, NY · On-site

Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient and scalable data handling. * Collaborates with data engineering teams to acquire, clean, and prepare ...

Lthc

AI Engineer I/II

Rochester, NY · On-site

Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient and scalable data handling. * Collaborates with data engineering teams to acquire, clean, and prepare ...

Lthc

AI Engineer I/II

Rochester, NY · On-site

Builds and refines data pipelines for feature engineering and ML model input, ensuring efficient and scalable data handling. * Collaborates with data engineering teams to acquire, clean, and prepare ...

Honeywell

Advanced Data Scientist

Pittsford, NY

$130/hr

... ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and ...

next page

Showing results 1-20

All JobsData Engineer Ml JobsData Engineer Ml Jobs in Rochester, NY

Data Engineer Ml information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

How much do data engineer ml jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data engineer ml in Rochester, NY is $162,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $167,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Engineer ML, and why are they important?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

What does a Data Engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What is the difference between Data Engineer Ml vs Data Scientist?

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

How do Data Engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.
What are popular job titles related to Data Engineer Ml jobs in Rochester, NY? For Data Engineer Ml jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Data Engineer Ml jobs in Rochester, NY look for? The top searched job categories for Data Engineer Ml jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Data Engineer Ml jobs? Cities near Rochester, NY with the most Data Engineer Ml job openings:
Data Engineer Ml jobs near you

Data Engineer

Bespoke Labs

Rochester, NY • On-site

$113K - $136K/yr

Full-time

Posted 26 days ago

Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience — pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure — observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines

Apply