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Data Software Engineer Jobs in Pittsburgh, PA (NOW HIRING)

Data Ideology LLC

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

For more information about Data Ideology, visit www.dataideology.com. Sr. Data Engineer - (Snowflake) Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client ...

PNC Bank

Software Engineer

Pittsburgh, PA · On-site

$75K - $137K/yr

As a Software Engineer within PNC's Technology organization, you will be based in Pittsburgh, PA. A ... Leverage Ansible, Linux shell or Python scripting Familiarity with data flows, APIs, messaging, and ...

The Hardenbergh Group, Inc

Software Engineer

Pittsburgh, PA · On-site

$100K - $120K/yr

Job Title: Software Engineer Location: Remote, U.S. Note: This a remote position and requires ... You'll contribute to frontend and backend components and data workflows, working within established ...

campus4tech

Software Engineer III

Pittsburgh, PA · On-site

$55.75 - $75/hr

Pittsburgh, PA (5 days' on-site) Duration: 1 Year Contract We are looking for a Software Engineer to help develop our capture software and data processing algorithms. The individual will be ...

PNC

Software Engineer

Pittsburgh, PA

$75K - $137K/yr

As a Software Engineer within PNC's Retail Tech Core Debit Product organization, you will be based ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

New

PNC

Software Engineer

Pittsburgh, PA · On-site

$75K - $137K/yr

As a Software Engineer within PNC's Retail Tech Core Debit Product organization, you will be based ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

New

PNC Bank

Software Engineer

Pittsburgh, PA · On-site

$75K - $137K/yr

As a Software Engineer within PNC's Retail Tech Core Debit Product organization, you will be based ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

PNC Bank

Software Engineer

Pittsburgh, PA

$75K - $137K/yr

As a Software Engineer within PNC's Retail Tech Core Debit Product organization, you will be based ... data and on individual skills, experience, and education. This role is incentive eligible with the ...

F.N.B. Corporation

Data and Analytics Engineer 2

Pittsburgh, PA · On-site

$111K - $133K/yr

We are seeking a Data and Analytics Engineer with strong experience across modern and legacy data ... Troubleshoots analytics tools, systems, and software. Tracks performance and production issues. May ...

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Showing results 41-60

All JobsData Software Engineer JobsData Software Engineer Jobs in Pittsburgh, PA

Data Software Engineer information

See Pittsburgh, PA salary details

$43.2K

$125.9K

$172.3K

How much do data software engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data software engineer in Pittsburgh, PA is $125,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,200.00 and $133,500.00 per year, depending on experience, location, and employer.

What is a data software engineer?

Data Software Engineers are professionals who design, build, and maintain the software systems that enable organizations to collect, process, and analyze large volumes of data. They bridge the gap between data engineering and software development by creating scalable, efficient pipelines and applications that support data-driven decision making. Their responsibilities often include developing data processing frameworks, ensuring data quality, and collaborating with data scientists and analysts to deliver actionable insights.

What are the key skills and qualifications needed to thrive as a data software engineer?

To thrive as a Data Software Engineer, you need strong programming skills (often in Python, Java, or Scala), a solid understanding of data structures and algorithms, and a background in computer science or a related field. Familiarity with big data frameworks (like Hadoop or Spark), database systems (SQL/NoSQL), and data pipeline tools is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving abilities, collaboration, and effective communication are soft skills that set top performers apart. These skills ensure the efficient design, development, and optimization of robust data systems critical for driving business insights and decision-making.

What are some common challenges data software engineers face when working with large datasets?

Data Software Engineers often encounter challenges related to scalability, data quality, and system performance when handling large datasets. Ensuring that data pipelines can efficiently process high volumes of data without bottlenecks requires robust architecture and frequent optimization. Additionally, maintaining data integrity and consistency across distributed systems can be complex, especially when integrating data from multiple sources. Collaboration with data scientists, analysts, and DevOps teams is key to overcoming these challenges and building reliable, efficient data solutions.

What is the difference between Data Software Engineer vs Data Engineer?

AspectData Software EngineerData Engineer
Primary FocusDeveloping software tools and applications for data processing and analysisBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsProgramming, software development, data modeling, often with certifications in software engineeringDatabase systems, ETL tools, cloud platforms, often with certifications in data engineering
Work EnvironmentSoftware development teams, data science teams, often in tech companiesData infrastructure teams, IT departments, cloud service providers

While both roles work with data, Data Software Engineers focus on creating software solutions for data analysis, whereas Data Engineers build the infrastructure to collect, store, and process data efficiently. Both roles require programming skills and often overlap, but their core responsibilities differ in scope and focus.

What are popular job titles related to Data Software Engineer jobs in Pittsburgh, PA?

For Data Software Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Data Software Engineer jobs in Pittsburgh, PA look for?

The top searched job categories for Data Software Engineer jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for Data Software Engineer jobs?

Cities near Pittsburgh, PA with the most Data Software Engineer job openings:

Data Software Engineer jobs near you
Infographic showing various Data Software Engineer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $125,931 per year, or $60.5 per hour.

Senior AI Security Software Engineer

Software Engineering Institute

Pittsburgh, PA • On-site

$111K - $152K/yr

Full-time

Retirement

Re-posted 15 hours ago

Job description

The CERT Division of the Software Engineering Institute (SEI) is seeking applicants for the role of Senior AI Security Software Engineer. Established in response to the Morris worm, CERT has been a leader in cybersecurity research, advancing the resilience of software systems and responding to sophisticated cyber threats. As AI becomes central to critical infrastructure, advancing its security and resilience offers a compelling opportunity to shape the future, impacting support of the national security mission.
Our team researches and develops tactics, techniques, and procedures necessary for the field of AI security. Our work includes experimental designs for large-scale AI security research programs, AI red teaming, and counter AI applications. Additionally, we work in generative AI and large language models, data visualization, security analysis of AI systems, and adversarial machine learning. We have access to a wide variety of cyber-related data, including malware samples, NetFlow data, cyber security training runs and tests, incident tickets, and more.
Artificial Intelligence Security Software Engineers at the SEI use software and machine learning engineering practices, data processing, and data analytics to help our researchers solve AI security challenges. In this role, you will work with our researchers and customers to develop machine learning based prototypes, products, and tools to solve and automate solutions to AI Security problems. You'll get a chance to work with elite AI and cyber security professionals and university faculty to build new technologies that will influence national AI and cyber security strategy for decades to come.
Key Responsibilities
  • Develop machine learning-based prototypes, tools, and systems for AI security applications, demonstrating strong expertise in ML development and deployment
  • Collaborate with researchers and stakeholders to design and execute experimental AI security solutions, communicating effectively across technical and non-technical audiences
  • Apply software engineering best practices to build scalable, maintainable systems, grounded design principles
  • Process and analyze large, diverse cybersecurity datasets (e.g., malware, NetFlow, incident data), using strong analytical and problem-solving skills
  • Support AI red teaming and adversarial machine learning initiatives, applying an innovative and research-driven mindset
  • Translate research concepts into practical, operational capabilities, with the ability to work independently and as part of a collaborative team

Minimum Qualifications
  • BS in computer science, machine learning, cybersecurity, statistics, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD in the same fields with five (5) years of experience
  • Understanding of software engineering principles and system design
  • Experience with containerization and microservices architectures
  • Travel to various locations to support the SEI's overall mission. This includes within the SEI and CMU community, sponsor sites, conferences, and offsite meetings on occasion (5%).
  • You will be subject to a background check and will need to obtain and maintain a Department of War (DoW) security clearance.

Preferred Qualifications
  • Experience applying statistical modeling and advanced data analytics techniques
  • Background in developing AI/ML solutions in real-world settings
  • Familiarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis)
  • Experience and knowledge in cybersecurity best practices
  • Demonstrated ability to quickly learn and adapt to new technologies and domains

Why Join Us
  • Contribute to a world-class organization with significant impact on software and national security
  • Work with cutting-edge technologies alongside leading experts in AI, cybersecurity, and software engineering
  • 8% employer retirement contribution (no employee contribution required)
  • Tuition benefits for employees and their dependent children
  • Flexible work arrangements and strong work-life balance
  • Paid parental and military leave
  • Professional development opportunities, including conference attendance and certifications
  • Qualify for relocation assistance and so much more.

Location
Arlington, VA, Pittsburgh, PA
Job Function
Software/Applications Development/Engineering
Position Type
Staff - Regular
Full time/Part time
Full time
Pay Basis
SalaryMore Information:
  • Please visit "Why Carnegie Mellon" to learn more about becoming part of an institution inspiring innovations that change the world.
  • Click here to view a listing of employee benefits
  • Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran.
  • Statement of Assurance

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