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Entry Level Data Software Engineer Jobs in Rochester, NY

Redcom Laboratories, Inc.

SOFTWARE ENGINEER

Victor, NY · On-site

Strong computer science fundamentals: data structures, design patterns, and algorithms * A Bachelor's degree in Software Engineering, Computer Engineering, Computer Science, or related fields or ...

REDCOM Laboratories, Inc.

SOFTWARE ENGINEER

Victor, NY · Hybrid

Strong computer science fundamentals: data structures, design patterns, and algorithms * A Bachelor's degree in Software Engineering, Computer Engineering, Computer Science, or related fields or ...

TE Connectivity

Software Engineer I (MPDE)

Webster, NY · On-site

$68K - $103K/yr

Software Engineer I (MPDE) Posting Start Date: 8/27/26 At TE, you will unleash your potential ... Data Collection & Monitoring Systems * Support development and maintenance of manufacturing data ...

New

Butler/Till, Inc.

Software Engineer III

Rochester, NY · On-site

$85K - $134K/yr

... and data pipelines supporting large-scale use cases for our most important clients. Our ideal ... QUALIFICATIONS • REQUIRED QUALIFICATIONS: o 4-6 years of experience as a Software Engineer or ...

L3HHCM20

Associate, Software Engineering

Rochester, NY · On-site

$66K - $123K/yr

Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ... Software Engineering, Electrical Engineering, Wireless Engineering, Information Security ...

L3HHCM20

Associate, Software Engineering

Rochester, NY · On-site

$66K - $123K/yr

Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ... Software Engineering, Electrical Engineering, Wireless Engineering, Information Security ...

L3HHCM20

Associate, Software Engineering

Rochester, NY · On-site

$66K - $123K/yr

Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ... Software Engineering, Electrical Engineering, Wireless Engineering, Information Security ...

L3HHCM20

Associate, Software Engineering

Rochester, NY · On-site

$66K - $123K/yr

Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ... Software Engineering, Electrical Engineering, Wireless Engineering, Information Security ...

L3HHCM20

Associate, Software Engineering

Rochester, NY · On-site

$66K - $123K/yr

Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ... Software Engineering, Electrical Engineering, Wireless Engineering, Information Security ...

L3HHCM20

Associate, Software Engineering

Rochester, NY · On-site

$66K - $123K/yr

Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ... Software Engineering, Electrical Engineering, Wireless Engineering, Information Security ...

L3HHCM20

Associate, Software Engineering

Rochester, NY

$66K - $123K/yr

Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ... Software Engineering, Electrical Engineering, Wireless Engineering, Information Security ...

L3HHCM20

Associate, Software Engineering

Rochester, NY · On-site

$66K - $123K/yr

Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and ... Software Engineering, Electrical Engineering, Wireless Engineering, Information Security ...

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All JobsData Software Engineer JobsEntry Level Data Software Engineer JobsEntry Level Data Software Engineer Jobs in Rochester, NY

Entry Level Data Software Engineer information

See Rochester, NY salary details

$43.9K

$128K

$175.1K

How much do entry level data software engineer jobs pay per year?

As of Sep 1, 2026, the average yearly pay for entry level data software engineer in Rochester, NY is $127,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What does an entry level data software engineer do?

An Entry Level Data Software Engineer designs, develops, and maintains software systems that handle and process data. They often work with databases, data pipelines, and tools for collecting, storing, and analyzing large datasets. Their responsibilities typically include writing code, debugging, testing applications, and collaborating with other engineers or data scientists. This role is ideal for those new to the field, as it allows them to build foundational skills in software engineering and data management.

What are the key skills and qualifications needed to thrive as an entry level data software engineer?

To thrive as an Entry Level Data Software Engineer, you need foundational knowledge in programming (such as Python, Java, or SQL), data structures, and algorithms, typically supported by a relevant degree or coursework in computer science or related fields. Familiarity with tools like Git, databases (e.g., MySQL, PostgreSQL), and data processing frameworks (such as Hadoop or Spark) is often required. Problem-solving abilities, attention to detail, and strong teamwork and communication skills help you adapt and collaborate effectively. These skills and qualities are essential for building reliable data solutions and contributing to team-driven engineering projects.

What are some common challenges faced by entry level data software engineers, and how can they overcome them?

Entry level data software engineers often encounter challenges such as understanding complex data pipelines, adapting to new technologies quickly, and collaborating with cross-functional teams. To overcome these challenges, it's helpful to ask questions regularly, seek mentorship from more experienced colleagues, and invest time in learning the company's tech stack and best practices. Developing strong communication skills will also make it easier to work with data scientists, analysts, and other engineers, ensuring smoother collaboration and faster professional growth.

What is the difference between Entry Level Data Software Engineer vs Data Analyst?

AspectEntry Level Data Software EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; programming skills in Python, Java, or SQLBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentDeveloping data pipelines, software tools, and applications; collaborating with data engineers and software developersAnalyzing data sets, creating reports, and visualizations; working closely with business teams
Employer & Industry UsageTech companies, startups, and enterprises focusing on data-driven software solutionsFinance, marketing, healthcare, and consulting firms focusing on data insights

While both roles involve working with data, Entry Level Data Software Engineers focus on building data systems and software, requiring programming skills. Data Analysts primarily interpret data to provide insights, emphasizing analysis and visualization. The roles often overlap but serve different functions within data teams.

What are popular job titles related to Entry Level Data Software Engineer jobs in Rochester, NY?

For Entry Level Data Software Engineer jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Software Engineer jobs in Rochester, NY look for?

The top searched job categories for Entry Level Data Software Engineer jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Entry Level Data Software Engineer jobs?

Cities near Rochester, NY with the most Entry Level Data Software Engineer job openings:

Entry Level Data Software Engineer jobs near you
Infographic showing various Entry Level Data Software Engineer job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $127,987 per year, or $61.5 per hour.

Research Data Engineer I

Rochester, NY • On-site

University of Rochester
Colleges, Universities, and Professional Schools • 10K+ employees

8.3

Company rating: 8.3 out of 10

Based on 188 frontline employees who took The Breakroom Quiz

127th of 627 rated colleges and universities

People enjoy working here

Good employer

Recommended by students

Learn more about University of Rochesterexternal

$27.16 - $38.03/hr

Per diem

Re-posted 2 days ago

Job description

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.
Job Location (Full Address):
220 Hutchison Rd, Rochester, New York, United States of America, 14620
Opening:
Worker Subtype:
Regular
Time Type:
Time as Reported / Per Diem
Scheduled Weekly Hours:
As Scheduled
Department:
400295 Cancer Center Admin M&D
Work Shift:
UR - Day (United States of America)
Range:
UR URG 109 H
Compensation Range:
$27.16 - $38.03
The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Responsibilities:
With moderate supervision and guidance, supports the implementation and maintenance of analytical and data science-based software and data pipelines, enabling scientific workflows. Provides focused support in enhancing the data collection frameworks that integrate structured and unstructured data from multiple sources and systems to enable the used of data in specific research study teams. Maintains and supports the development of infrastructure systems (e.g., data warehouses, data lakes, etc.), including data access APIs. Receives guidance from and acts in support of a team aimed at providing robust, scalable software solutions to the research enterprise.
JOB DUTIES AND RESPONSIBILITIES:
  • Maintains and modifies Extract Transform and Load (ETL) data pipelines and overall data architecture to accommodate a growing amount of data from a variety of large research data sources.
  • Works with team members to support the conversion of business and technical requirements into professional software solutions. Ensures timely completion of tasks while managing multiple assignments, project timelines and business user expectations.
  • Supports the implementation of custom, research project-specific data workflow solutions for data collection, management, reporting and analytics. Contributes to the scientific research.
  • Adheres to defined application development life-cycle practices, including but not limited to, requirements gathering, writing test plans, source code management, peer code review and quality assurance through unit/system/user acceptance testing.
  • Participates in specification, implementation and execution of testing procedures to ensure quality of deliverables, system and data workflow reliability.
  • Produces and maintains comprehensive technical documentation for all systems under the Engineer's responsibilities.
  • Keeps abreast of current application developments through continuing education, professional reading, online forums, conferences, workshops and professional groups.
  • Other duties as assigned.

QUALIFICATIONS:
  • Bachelor's degree in Data Science, Biomedical Science, Computer Science, Mathematics, Statistics or similar discipline required.
  • 1 year of relevant experience required including experience in technology-intensive environments and programming experience in SQL or equivalent combination of education and experience.
  • Programming experience, ideally in Java and Python and/or R; Experience with laboratory data management systems (e.g. biospecimen software, electronic laboratory notebooks, LabKey Server, REDCap);
  • Experience with Linux environments, Docker, and cloud technologies (e.g. AWS, Microsoft Azure, Google Cloud Platform).
  • Familiarity with data analytics and statistical methods;
  • Expertise of software engineering best practices such as version control and software release management;
  • Strong analytical and problem-solving skills;
  • Strong organizational skills;
  • Ability to work with others in a matrix management environment;
  • Excellent communication skills for describing progress and challenges to stakeholders;
  • Attention to detail, patience and a positive, customer-centric attitude;
  • Strong technical presentation skills;
  • Demonstrated ability to develop proficiency with unfamiliar toolsets.
  • Familiarity with genomics, metagenomics, flow cytometry or imaging files, metadata, and data standards preferred.

Schedule
8 AM-5 PM
The University of Rochester is committed to fostering, cultivating, and preserving a culture of equity, diversity, and inclusion to advance the University's mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion/creed, sex, sexual orientation, citizenship status, or any other status protected by law. This commitment extends to the administration of our policies, admissions, employment, access, and recruitment of candidates from underrepresented populations, veterans, and persons with disabilities consistent with these values and government contractor Affirmative Action obligations.
The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

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