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Etl Informatica Developer Jobs in Rochester, NY (NOW HIRING)

Paychex

Data Solutions Engineer

Rochester, NY · On-site +1

$91K - $156K/yr

... (ETL) processes using technologies such as Databricks, Snowflake, and Informatica IDMC. Develop ... Less than 1 year of experience in Familiarity with AI/ML frameworks, DevOps practices, and MLOps ...

Pwc

Data Engineer - Senior Associate

Rochester, NY

$77K - $202K/yr

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... and enhancing ETL/ELT pipelines for data ingestion, processing, and storage - Developing and ...

Constellation Brands

Senior Database Engineer

Rochester, NY · On-site +1

$113K - $177K/yr

Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools ... Information Technology The salary range for this role is: $113,500.00 - $177,600.00 This is the ...

Opticool Technologies

Lead Engineer

Webster, NY · On-site

$155K - $225K/yr

... extraction technologies, including: - Two-phase cooling systems (boiling/evaporative heat transfer ... Background in system controls for managing dynamic thermal loads and phase-change systems

CooperCompanies

Data Analyst 2

West Henrietta, NY · On-site

$71K/yr

... ETL processes. * Proficiency in Microsoft Office tools, including Excel and SharePoint. * Ability to follow standardized processes related to project management, data governance, and IT security. * ...

Cooper Companies

Data Analyst 2

West Henrietta, NY

$71K/yr

... ETL processes. * Proficiency in Microsoft Office tools, including Excel and SharePoint. * Ability to follow standardized processes related to project management, data governance, and IT security. * ...

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Etl Informatica Developer information

See Rochester, NY salary details

$9

$57

$70

How much do etl informatica developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for etl informatica developer in Rochester, NY is $57.59, according to ZipRecruiter salary data. Most workers in this role earn between $51.73 and $66.44 per hour, depending on experience, location, and employer.

What is the ETL?

ETL stands for Extract, Transform, Load and is a process used by ETL Informatica Developers to move data from source systems to target data warehouses. It involves extracting data from various sources, transforming it to meet business rules, and loading it into a database for analysis. Proficiency in tools like Informatica PowerCenter and understanding of data integration concepts are essential for this role.

What is an ETL Informatica Developer?

An ETL Informatica Developer is a professional who designs, develops, and maintains data integration solutions using Informatica tools. They are responsible for extracting data from various sources, transforming the data into a suitable format, and loading it into target systems such as data warehouses. Their role is critical in ensuring data quality, consistency, and reliability across enterprise systems. ETL Informatica Developers often work closely with data analysts, database administrators, and business stakeholders to support data-driven decision-making. They also troubleshoot and optimize ETL processes to enhance performance and efficiency.

What is the difference between Etl Informatica Developer vs Data Warehouse Developer?

AspectEtl Informatica DeveloperData Warehouse Developer
Primary FocusDesigning and implementing ETL processes using Informatica toolsDesigning, developing, and maintaining data warehouse architectures
Required SkillsInformatica PowerCenter, SQL, data modelingData modeling, SQL, ETL processes, data warehousing concepts
CertificationsInformatica certifications often preferredData warehousing certifications may be advantageous
Work EnvironmentTypically in BI or data integration teams within various industriesOften in analytics, BI, or data engineering teams across industries

While both roles involve working with data integration and warehousing, an Etl Informatica Developer specializes in creating ETL workflows using Informatica tools, whereas a Data Warehouse Developer focuses on designing and maintaining the overall data warehouse architecture. The roles often overlap but differ in scope and specific skill sets.

Will AI replace ETL?

AI is unlikely to fully replace ETL developers, as their role involves designing, managing, and troubleshooting complex data workflows that require domain expertise and problem-solving skills. Instead, AI tools can assist ETL developers by automating routine tasks and optimizing data processing, allowing them to focus on more strategic aspects of data integration and quality assurance.

What are the key skills and qualifications needed to thrive as an ETL Informatica Developer, and why are they important?

To thrive as an ETL Informatica Developer, you need strong skills in data warehousing, SQL, and ETL processes, typically supported by a degree in computer science or a related field. Proficiency with Informatica PowerCenter, relational databases, and experience with data integration tools and scripting languages are essential. Analytical thinking, problem-solving, and effective communication make someone stand out in this position. These skills ensure accurate, efficient data transformation and integration, which are critical for supporting business intelligence and analytics objectives.

What Does an ETL Informatica Developer Do?

An ETL Informatica developer is in charge of the complete development lifecycle of software that uses Informatica tools to store data. Your duties in this career are to design, configure, develop, and write code and implement programs while monitoring the integrity of the data you manage. Your responsibilities include integrating Informatica systems, working with extract transform load (ETL) systems, conducting business data analysis, writing technical design specifications, providing updates and maintenance, and troubleshooting and testing program issues. As an ETL Informatica developer, you also work with large databases, conduct data quality tests, check data security, and ensure all processes flow smoothly.

What does ETL mean?

ETL stands for Extract, Transform, Load, which are the three main steps in data integration processes used by ETL Informatica Developers. It involves extracting data from source systems, transforming it into a suitable format, and loading it into a target data warehouse or database. Proficiency in ETL tools like Informatica PowerCenter is essential for this role.

What is an ETL in SQL?

An ETL (Extract, Transform, Load) process in SQL involves extracting data from source systems, transforming it to fit business rules or improve data quality, and loading it into a target database or data warehouse. ETL developers often use SQL scripts and tools to automate these steps, ensuring efficient data integration for analytics and reporting.

What are some common challenges faced by ETL Informatica Developers during data integration projects?

ETL Informatica Developers often encounter challenges such as handling large volumes of data, ensuring data quality and consistency, and meeting tight project deadlines. They may also need to troubleshoot performance bottlenecks in ETL workflows and manage complex data transformations to meet business requirements. Collaboration with data analysts, database administrators, and business stakeholders is key to resolving issues quickly and delivering reliable data pipelines.
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Etl Informatica Developer jobs near you
Manager - GenAI Full Stack Developer

Manager - GenAI Full Stack Developer

Deloitte

Rochester, NY • On-site

Other

Posted 16 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 139 rated financial services

Job description

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on May 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on May 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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