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Data Analyst Etl Developer Jobs in Rochester, NY

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 production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Rochester, NY

$113K - $136K/yr

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 ...

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 production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Cooper Companies

Data Analyst 2

West Henrietta, NY

$71K/yr

Working knowledge of data warehousing concepts, data modeling, and ETL processes. * Proficiency in ... Experience using Python or R for analytics or automation. * Experience working within a team, and ...

CooperCompanies

Data Analyst 2

West Henrietta, NY · On-site

$71K/yr

Working knowledge of data warehousing concepts, data modeling, and ETL processes. * Proficiency in ... Experience using Python or R for analytics or automation. * Experience working within a team, and ...

Pwc

Data Engineer - Senior Associate

Rochester, NY · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... and enhancing ETL/ELT pipelines for data ingestion, processing, and storage - Developing and ...

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

... analytics, machine learning, artificial intelligence, and large-scale data operations. The role ... Build and optimize data pipelines to support data extraction, transformation, and loading (ETL) ...

Honeywell

Data Scientist II

Pittsford, NY · On-site

... programming languages, including Python with scikit-learn * Some experience with exploratory data analysis * Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files

Honeywell

Data Scientist II

Pittsford, NY · Hybrid

... programming languages, including Python with scikit-learn * Some experience with exploratory data analysis * Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files

Honeywell

Data Scientist II

Pittsford, NY · Hybrid

... programming languages, including Python with scikit-learn * Some experience with exploratory data analysis * Some experience with ETL operations sourcing data from SQL, REST APIs, and flat files

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All JobsData Analyst Etl Developer JobsData Analyst Etl Developer Jobs in Rochester, NY

Data Analyst Etl Developer information

See Rochester, NY salary details

$31

$49

$65

How much do data analyst etl developer jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for data analyst etl developer in Rochester, NY is $49.11, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $62.16 per hour, depending on experience, location, and employer.

What are some typical challenges faced by Data Analyst ETL Developers during data integration projects?

Data Analyst ETL Developers often encounter challenges such as dealing with inconsistent or incomplete source data, managing large volumes of information, and ensuring data quality throughout the extraction, transformation, and loading processes. Collaborating with cross-functional teams to understand business requirements and maintaining clear communication can also be demanding, especially in fast-paced environments. Additionally, optimizing ETL workflows for performance and troubleshooting failures are common hurdles that require both technical expertise and problem-solving skills.

What is the difference between Data Analyst Etl Developer vs Data Engineer?

AspectData Analyst Etl DeveloperData Engineer
Primary FocusData transformation, ETL processes, reportingBuilding data pipelines, infrastructure, and architecture
Skills & CertificationsSQL, ETL tools, data visualization, certifications like Microsoft Certified Data AnalystProgramming (Python, Java), cloud platforms, certifications like Google Cloud Professional Data Engineer
Work EnvironmentBusiness intelligence teams, analytics departmentsData engineering teams, IT infrastructure
Industry UsageFinance, healthcare, retail, where data analysis is keyTech, finance, e-commerce, focusing on data infrastructure

While both roles work with data, Data Analyst ETL Developers focus on transforming data for analysis and reporting, whereas Data Engineers build the systems that enable data collection and storage. Understanding these differences helps in choosing the right career path or job role.

What are the key skills and qualifications needed to thrive as a Data Analyst ETL Developer, and why are they important?

To thrive as a Data Analyst ETL Developer, you need strong analytical skills, proficiency in data modeling, and experience with database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica, Talend, or SSIS), SQL, and data visualization platforms like Tableau or Power BI is typically required, along with relevant certifications. Attention to detail, problem-solving abilities, and effective communication are critical soft skills for interpreting data and collaborating with stakeholders. These competencies ensure accurate data integration, meaningful analysis, and support informed decision-making within organizations.

What are Data Analyst ETL Developers and what do they do?

Data Analyst ETL Developers are professionals who specialize in extracting, transforming, and loading (ETL) data between systems while also analyzing and interpreting that data to help businesses make informed decisions. They design and implement ETL processes to gather data from various sources, clean and structure it, and load it into databases or data warehouses. In addition, they often create reports, dashboards, and visualizations to communicate insights and trends to stakeholders. These roles require strong technical skills in data management, programming, and analytics tools, as well as an understanding of business processes.
Data Analyst Etl Developer jobs near you
Infographic showing various Data Analyst Etl Developer job openings in Rochester, NY as of June 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $102,144 per year, or $49.1 per hour.

Data Engineer

Bespoke Labs

Geneseo, NY • On-site

$110K - $132K/yr

Full-time

Posted 17 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

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