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Etl Jobs in Rochester, NY (NOW HIRING)

Must have experience with relational databases, data lakes, data warehouses such as Redshift, and ETL/ELT data pipelines * Proficiency with SQL and relational database concepts * Must have experience ...

Lead AI and Data Science Engineer II

Rochester, NY · On-site

$101K - $133K/yr

Partner with data engineering teams on pipeline architecture and infrastructure, using knowledge of extract, transform, load (ETL), version control, and continuous integration and continuous delivery ...

Oracle DBA I

Rochester, NY · On-site +1

$76K - $120K/yr

  • Medical

  • Retirement

  • PTO

Extract Transform Load (ETL) - Preferred * Agile Methodology - Preferred * Amazon Web Services - Preferred * Database Administration - Preferred * Automation - Preferred * Software Engineering ...

Data Engineer - Senior Associate

Rochester, NY

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... ETL/ELT pipelines for data ingestion, processing, and storage - Developing and deploying scalable data storage solutions using AWS, Azure and GCP services - Implementing data integration solutions ...

Showing results 21-35

Etl information

See Rochester, NY salary details

$31

$56

$79

How much do etl jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for etl in Rochester, NY is $56.61, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $63.32 per hour, depending on experience, location, and employer.

What is an ETL job?

ETL stands for Extract, Transform, Load, which refers to a process used in data integration and management. ETL jobs involve extracting data from various sources, transforming it into a consistent format, and loading it into a destination system such as a data warehouse. Professionals working in ETL design, develop, and maintain these processes to ensure data is accurate, reliable, and ready for analysis. ETL is essential for organizations that need to consolidate data from multiple sources for business intelligence and reporting.

Is ETL in demand now?

ETL (Extract, Transform, Load) specialists are in high demand due to the growth of data-driven decision-making and the increasing need for data integration in organizations. Skills in tools like Apache NiFi, Talend, or Informatica, along with knowledge of databases and scripting, enhance job prospects in this field.

What are the key skills and qualifications needed to thrive as an ETL developer?

To thrive as an ETL Developer, you need strong skills in data analysis, SQL, database management, and a background in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or Microsoft SSIS, and possibly certifications in data engineering or relevant platforms, is typically expected. Analytical thinking, attention to detail, and effective communication are crucial soft skills for translating business requirements into technical solutions. These skills are vital to ensure accurate, efficient, and reliable data integration processes that support business intelligence and decision-making.

What is the difference between Etl vs Data Analyst?

AspectEtlData Analyst
Required CredentialsTypically requires knowledge of SQL, scripting, and data warehousing toolsRequires skills in statistics, data visualization, and often a degree in analytics or related fields
Work EnvironmentData integration and pipeline development in data warehouses or ETL toolsData interpretation, reporting, and visualization in business or research settings
Industry UsageUsed in data engineering, data warehousing, and BI projectsUsed across industries for insights, reporting, and decision-making

ETL (Extract, Transform, Load) specialists focus on building data pipelines to move and prepare data for analysis. Data Analysts interpret and visualize data to support business decisions. While ETL involves technical data processing, Data Analysts focus on analyzing and presenting data insights.

What are some typical challenges faced by ETL professionals during data integration projects?

ETL professionals often encounter challenges such as handling inconsistent or incomplete data, optimizing performance for large-scale data loads, and ensuring data security during transfers. Coordination with multiple teams—like data architects, business analysts, and database administrators—is essential to clarify data requirements and resolve issues quickly. Additionally, adapting ETL processes to evolving business needs and new data sources requires a proactive and problem-solving mindset.

What are the most commonly searched types of Etl jobs in Rochester, NY?

The most popular types of Etl jobs in Rochester, NY are:

What job categories do people searching Etl jobs in Rochester, NY look for?

The top searched job categories for Etl jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Etl jobs?

Cities near Rochester, NY with the most Etl job openings:

Infographic showing various Etl job openings in Rochester, NY as of August 2026, with employment types broken down into 80% Full Time, 5% Part Time, and 15% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $117,755 per year, or $56.6 per hour.

SR Software Engineer (Data) - Remote, US

ITX Corp.

Rochester, NY • On-site, Remote

$120K - $159K/yr

Full-time

Re-posted 13 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.