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Data Analyst Etl Developer Jobs in Rochester, NY

Python Technical Lead

York, NY ยท On-site

$129K - $159K/yr

... 3NF data modeling PL/SQL Snowflake Domain Skills- Technology - Analytics Shift Day 9AM TO 6PM EST ... Design and develop robust ETL AI/ML solutions. Develop ingestion pipelines from source into ...

Senior Commercial Analyst

Victor, NY ยท Hybrid

$97K - $120K/yr

Experience with SQL, ETL processes, data warehousing, and large-scale datasets in a business environment preferred. * Experience with geographic, demographic, and territory-level analysis, including ...

Senior Commercial Analyst

Victor, NY ยท Hybrid

$97K - $120K/yr

Experience with SQL, ETL processes, data warehousing, and large-scale datasets in a business environment preferred. * Experience with geographic, demographic, and territory-level analysis, including ...

Experience with evaluating, implementing, and utilizing ETL tools. * Process improvement mindset to ... Experience in programming and/or product management. * Minimum of 3 years of experience in Payroll ...

Oracle DBA I

Rochester, NY ยท On-site +1

$76K - $120K/yr

Python (Programming Language) - Preferred * Extract Transform Load (ETL) - Preferred * Agile ... Data Modeling - Preferred Candidates must be legally authorized to work in the United States on a ...

With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR ... JOB TITLE: Finance Data & Transformation Analyst REPORTING TO: Finance Manager, IH&S LOCATION:

Showing results 41-60

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 Sep 3, 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 is a data analyst ETL developer?

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.

What are the key skills and qualifications needed to thrive as a data analyst ETL developer?

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 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.

Are data analyst ETL developers in demand?

Data analyst ETL developers are in high demand due to the increasing need for data integration and management in organizations. Skills in SQL, ETL tools, and data warehousing are highly valued, and job growth is expected to continue as companies rely more on data-driven decision making.

What is a data analyst ETL developer's salary?

The salary for a data analyst ETL developer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with skills in SQL, ETL tools, and data warehousing tend to earn higher salaries, especially with certifications or advanced expertise.
Infographic showing various Data Analyst Etl Developer job openings in Rochester, NY as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution, with an average salary of $102,144 per year, or $49.1 per hour.

SR Software Engineer (Data) - Remote, US

ITX Corp.

Rochester, NY โ€ข On-site, Remote

$120K - $159K/yr

Full-time

Re-posted 2 days ago


Job description

Join Our Team as a Senior Software Engineer with Data Skills for Agentic AI Systems!


We are looking for a Senior Software Engineer with a strong focus onData and experience building infrastructure for LLM-powered applications and agent-based systems. In this role, you will work on RAG pipelines, agent workflows, and memory systems that allow AI agents to reason, retrieve information, and interact with complex tasks.

You will collaborate with engineers building intelligent agents and help design the data pipelines, evaluation frameworks, and orchestration workflows that support reliable and scalable AI systems.


Note: This opening is only available for candidates based in the United States of America. Applications from other locations will not be considered for the role.


What You'll Do:

  • Design and maintain ETL pipelines that process and classify unstructured data for Retrieval-Augmented Generation (RAG) systems.
  • Support the development of agent-based architectures using reasoning and acting patterns such as ReAct.
  • Build and maintain agent workflows using node-based orchestration frameworks such as LangGraph, including hierarchical and state-machine-based execution.
  • Design and implement agent memory systems, including short-term event memory and long-term memory strategies such as summarization, semantic memory, episodic memory, and user preference storage.
  • Develop system prompts and intent-handling prompts that support reliable agent interactions.
  • Create evaluation tests, datasets, and performance benchmarks to measure and improve LLM agent behavior, including ReAct-based agents.
  • Build tools that allow LLM agents to interact with external systems and services.
  • Apply best practices around guardrails, prompt security, input sanitization, and safe handling of user-generated content.
  • Collaborate closely with engineers across the team and provide guidance to less experienced developers when needed.


What We're Looking For:

  • Experience building RAG pipelines or ETL workflows for unstructured documents.
  • Experience working with LLM-based systems or AI-powered applications.
  • Familiarity with agent architectures such as ReAct.
  • Hands-on experience with workflow orchestration frameworks such as LangGraph or similar node-based systems.
  • Experience implementing agent memory systems (e.g., AgentCore Memory API or similar), including both short-term and long-term memory strategies.
  • Experience writing system prompts and designing prompt interactions for LLM applications, including intent handling.
  • Experience evaluating and performance testing LLM agents, particularly within ReAct-style workflows.
  • Ability to generate evaluation datasets and test scenarios for agent-based systems.
  • Understanding of mapping user utterances to intents using RAG and/or LLM-based approaches.
  • Understanding of guardrails and safety mechanisms for LLM and agent systems.
  • Understanding of agent-specific threat vectors, including prompt injection, tool misuse, and unsafe memory access.
  • Familiarity with AWS environments and tools such as AWS CLI and STS.
  • Strong understanding of data pipelines and document processing for AI systems.


Nice to have:

  • Experience with LangGraph or other agent orchestration frameworks.
  • Experience building tools for tool-enabled LLM agents.
  • Experience working with hierarchical state machines or complex workflow orchestration patterns.
  • Experience designing evaluation frameworks or LLM benchmarking systems.
  • Experience working with AI agent security concepts or threat modeling.


ITX's Compensation Philosophy

Equality in compensation has been our practice since ITX started, in 1997.


ITX believes that market-based pay ensures fair and equitable compensation for our worldwide team members and pay that is based on the market, not on who has the best negotiation skills. At ITX, you'll never discover that someone in the same job with the same experience makes more than you, or that there are pay gaps based on race, gender, disability, or age.

How do our team members experience market-based pay at ITX? We gather market data to benchmark each position in our candidates' and team members' locations and use these benchmarks for candidate offers and to perform regular compensation reviews for our team members. You'll never have to worry about asking for a pay raise again. At least once a year ITX automatically adjusts pay when the benchmark is higher than our team member's compensation.


In Rochester, N.Y., home to ITX's headquarters, the pay range for a Senior Software Developer with Data Skills role is $96,000 to $129,000, depending on experience, specific skills and certifications, and education. Based on your location in the United States if you are in a place where the market for your role is higher or lower, this pay range could be 13% lower or 10% higher than the Rochester, N.Y. market.


ITX has team members in many countries, and we use the same methodology for determining pay for all our teammates. For candidates outside of the United States, we use local market data to determine the benchmark range for the Senior Software Engineer with Data Skills.


Do you have questions about ITX's compensation practices? Let us know! We're proud of how we do compensation at ITX and welcome the opportunity to share more.

This role was posted by ITX on June 30th, 2026.