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Senior Big Data Engineer Jobs in Rochester, NY (NOW HIRING)

onsemi

Process Integration Engineer (PI)

Livonia, NY · On-site

Analyze big data to identify weaknesses in process flow or root-cause of issues during fab process, and to drive process more robust and reliable. * Collaborate closely with the process engineering ...

Vitrek Corporation

Senior Electrical Engineer

Rochester, NY · On-site

$130K - $150K/yr

High Speed Data Acquisition About the Opportunity Join Vitrek as a Senior Electrical Engineer and play a key role in shaping the next generation of precision instrumentation. Based in our Albany, NY ...

WeTheHobby

Senior Software Engineer

Rochester, NY · On-site

$120 - $180/hr

Senior Software Engineer WeTheHobby Rochester, New York, United States About this positionAbout ... data integrity. * AI-Accelerated Engineering: Champion the use of AI tools (Cursor, Claude, LLMs ...

Vitrek Corporation

Senior Electrical Engineer

Rochester, NY · On-site

$130K - $150K/yr

High Speed Data Acquisition About the Opportunity Join Vitrek as a Senior Electrical Engineer and play a key role in shaping the next generation of precision instrumentation. Based in our Albany, NY ...

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All JobsBig Data Engineer JobsSenior Big Data Engineer JobsSenior Big Data Engineer Jobs in Rochester, NY

Senior Big Data Engineer information

See Rochester, NY salary details

$15

$62

$87

How much do senior big data engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for senior big data engineer in Rochester, NY is $62.14, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $69.95 per hour, depending on experience, location, and employer.

What is the difference between Senior Big Data Engineer vs Data Architect?

AspectSenior Big Data EngineerData Architect
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with Hadoop, SparkBachelor's/Master's in CS, Data Science, or related; certifications like TOGAF, cloud architecture
Work EnvironmentDevelops, implements, and maintains data pipelines and systemsDesigns overall data infrastructure and architecture strategy
Employer & Industry UsageTech companies, finance, healthcare, retailLarge enterprises, consulting firms, cloud providers
Search & Comparison IntentUnderstanding technical roles, skills, and responsibilitiesFocus on data system design and strategic planning

While both roles work with data systems, a Senior Big Data Engineer primarily develops and maintains data pipelines and systems, whereas a Data Architect designs the overarching data infrastructure and strategy. The roles often collaborate but differ in scope and focus within data management.

How does a senior big data engineer collaborate with data scientists and business stakeholders?

As a Senior Big Data Engineer, you'll frequently work alongside data scientists to design and maintain data pipelines that ensure reliable and accessible data for modeling and analytics. Collaboration with business stakeholders is also essential, as you'll help translate business requirements into technical data solutions, ensuring that data architecture supports organizational goals. Regular meetings, code reviews, and cross-team project planning are common, making strong communication and a collaborative mindset vital for success in this role.

What skills and qualifications are needed to be a senior big data engineer?

To thrive as a Senior Big Data Engineer, you need advanced expertise in data architecture, distributed computing, and programming languages such as Java, Scala, or Python, typically backed by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms, as well as relevant certifications (e.g., Cloudera, AWS), is highly valuable. Strong problem-solving, communication, and leadership skills set outstanding candidates apart, especially when collaborating with cross-functional teams. These competencies are critical for designing scalable data solutions, ensuring data quality, and driving impactful business insights.

What is a senior big data engineer?

Senior Big Data Engineers are advanced-level professionals who design, build, and maintain large-scale data processing systems. They work with technologies such as Hadoop, Spark, and NoSQL databases to handle massive amounts of data efficiently. Their responsibilities often include optimizing data pipelines, ensuring data quality, and collaborating with data scientists and analysts to support business needs. Senior Big Data Engineers also mentor junior team members and help drive architectural decisions related to data infrastructure.
What are the most commonly searched types of Big Data Engineer jobs in Rochester, NY? The most popular types of Big Data Engineer jobs in Rochester, NY are:
What are popular job titles related to Senior Big Data Engineer jobs in Rochester, NY? For Senior Big Data Engineer jobs in Rochester, NY, the most frequently searched job titles are:
What job categories do people searching Senior Big Data Engineer jobs in Rochester, NY look for? The top searched job categories for Senior Big Data Engineer jobs in Rochester, NY are:
What cities near Rochester, NY are hiring for Senior Big Data Engineer jobs? Cities near Rochester, NY with the most Senior Big Data Engineer job openings:
Senior Big Data Engineer jobs near you
Infographic showing various Senior Big Data Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,254 per year, or $62.1 per hour.

SR Software Engineer (Data) - Remote, US

ITX Corp

Rochester, NY • On-site, Remote

$96K - $129K/yr

Full-time

Re-posted 8 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 on Data 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.

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