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Helper Game Developer Jobs in Pittsburgh, PA (NOW HIRING)

Healthcare

Software Development Manager

Pittsburgh, PA

$119K - $158K/yr

... lives and help healthcare professionals perform at their best. At Solventum, people are at the ... The role manages software engineers delivering shared capabilities that support the Catalyst FHIR ...

Solventum

Software Development Manager

Pittsburgh, PA · On-site +1

$119K - $158K/yr

... lives and help healthcare professionals perform at their best. At Solventum, people are at the ... The role manages software engineers delivering shared capabilities that support the Catalyst FHIR ...

Varsity Tutors

C++ Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

... helping you save prep time and focus on impactful teaching. * We handle the logistics--you just ... programming, game development, and computer science coursework. * Conceptual Teaching & Problem ...

Duolingo

Senior Product Manager, Growth

Pittsburgh, PA

$122K - $162K/yr

Growth is core to our mission at Duolingo; helping users find and build a habit with language ... Work closely with engineers, data scientists, ML/AI partners, product writers, and designers to ...

Duolingo

Senior Product Manager, Notifications

Pittsburgh, PA · On-site

$122K - $162K/yr

You'll help identify new notification types, improve opt-in and reach, and explore how channels ... Work closely with engineers, data scientists, ML/AI partners, product writers, and designers to ...

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Showing results 41-60

All JobsHelper Game Developer JobsHelper Game Developer Jobs in Pittsburgh, PA

Helper Game Developer information

See Pittsburgh, PA salary details

$18.4K

$87.4K

$163.8K

How much do helper game developer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for helper game developer in Pittsburgh, PA is $87,449.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,142.00 and $116,581.00 per year, depending on experience, location, and employer.

What is a helper game developer?

Helper Game Developers are professionals who assist lead developers and teams in creating video games by handling supportive tasks such as debugging, asset integration, testing, and implementing minor features. They typically work under the supervision of senior developers and contribute to the smooth progression of the game's development cycle. Their role is crucial in ensuring that the core development team can focus on more complex aspects of game creation, making the overall process more efficient.

What are the typical responsibilities of a helper game developer within a game development team?

A Helper Game Developer typically assists lead developers and designers by handling supportive tasks such as debugging code, implementing minor features, and conducting playtesting. They often collaborate closely with senior team members to ensure smooth integration of assets and help resolve technical issues that arise during development. This role offers a great opportunity to learn industry-standard tools and workflows while contributing to various stages of game production. It's also common for Helper Game Developers to participate in team meetings and provide feedback on gameplay elements, making it a collaborative and educational entry point into the game development industry.

What are the key skills and qualifications needed to thrive as a helper game developer, and why are they important?

To thrive as a Helper Game Developer, you need a solid understanding of programming basics, problem-solving abilities, and familiarity with game development principles, often gained through relevant coursework or a computer science-related degree. Experience with game engines like Unity or Unreal Engine, as well as version control systems like Git, is typically required. Strong communication, teamwork, and a willingness to learn help you effectively support senior developers and contribute to collaborative projects. These skills ensure you can assist in creating functional, engaging games while growing your expertise in a fast-paced environment.

What are the most commonly searched types of Game Developer jobs in Pittsburgh, PA?

The most popular types of Game Developer jobs in Pittsburgh, PA are:

What are popular job titles related to Helper Game Developer jobs in Pittsburgh, PA?

For Helper Game Developer jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching Helper Game Developer jobs in Pittsburgh, PA look for?

The top searched job categories for Helper Game Developer jobs in Pittsburgh, PA are:

Helper Game Developer jobs near you
Infographic showing various Helper Game Developer job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 69% Full Time, 22% Part Time, 1% Temporary, and 8% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $87,449 per year, or $42 per hour.

Data Scientist - Research and Development

Pittsburgh Pirates

Pittsburgh, PA • On-site

Full-time

Re-posted 10 days ago

Job description

The Pirates Why
The Pittsburgh Pirates are a storied franchise in Major League Baseball who are reinventing themselves on every level. Boldly and relentlessly pursuing excellence by:
  • purposefully developing a player and people-centered culture;
  • deeply connecting with our fans, partners, and colleagues;
  • passionately creating lifetime memories for generations of families and friends; and
  • meaningfully impacting our communities and the game of baseball.

At the Pirates, we believe in the power of a diverse workforce and strive to create an inclusive culture centered in Passion, Innovation, Respect, Accountability, Teamwork, Empathy, and Service.
Job Summary
As a Data Scientist on the Pirates Research & Development team, you will help transform a wealth of baseball data - from box scores and player tracking to video and biomechanics - into actionable insights that drive the Pirates to make better, faster acquisition, development, and deployment decisions. You will work closely with other data scientists, analysts, and software engineers across Baseball R&D as well as other stakeholders across Baseball Operations (scouts, coaches, player development, front office) to turn your statistical and machine learning models into actionable decision tools.
Responsibilities:
  1. Design, build, validate, and deploy statistical and/or machine-learning models to support all facets of baseball operations, including scouting, player acquisition, player development, and on-field decision making.
  2. Build tools, prototypes, and visualizations to translate complex data and model results into insights understandable by coaches, players, and decision-makers.
  3. Communicate results and insights clearly to both technical and non-technical audiences.
  4. Partner with data engineers to build scalable data pipelines and maintain data quality.
  5. Stay abreast of new data sources, analytical techniques, and research.
  6. Help the organization experiment, learn, and iterate.

Qualifications
We recognize that no candidate will meet every qualification listed below. If you are excited about this role and believe you can add value to our work, we encourage you to apply even if your experience does not align perfectly with every requirement.
Required:
  1. Degree (or equivalent experience) in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Economics, Machine Learning, Biomechanics, Engineering, Operations Research).
  2. Demonstrated experience applying complex statistical and/or machine learning tools to real-world problems.
  3. Demonstrated proficiency in a programming language such as Python or R for data analysis and modeling.
  4. Demonstrated ability to communicate complex quantitative concepts clearly, both written and verbally.
  5. Demonstrated experience collaborating with others on data science projects.
  6. Authorized to work lawfully in the United States.

Desired:
  1. Familiarity with advanced statistical techniques (e.g., fixed-effect / random-effect models, generalized additive models, Bayesian modeling, probabilistic programming).
  2. Experience with machine-learning / deep-learning frameworks (e.g., PyTorch, Tensorflow), especially applied to high-dimensional, spatiotemporal, or biomechanical data.
  3. Background in computer vision, biomechanics, sports-science, or modeling of dynamic physical systems.
  4. Prior experience in sports analytics context; baseball is a plus.
  5. Experience with database languages (e.g., SQL) and working with large / relational datasets.

Equal Opportunity Employer
The Pittsburgh Pirates are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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