ZipRecruiter

Log In

1

Machine Learning Data Engineer Jobs in Harrisburg, PA

Fabergent

Data Scientist

Harrisburg, PA · On-site

Harrisburg, PA Duration: 6 months Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with ...

Judge Group, Inc.

Data Platform Architect

Harrisburg, PA · On-site

$90 - $100/hr

Support cloud-based analytics, AI, machine learning, and data-driven initiatives. * Enable API ... Mentor engineering teams and champion best practices in architecture, security, and platform ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning Data Engineer JobsMachine Learning Data Engineer Jobs in Harrisburg, PA

Machine Learning Data Engineer information

See Harrisburg, PA salary details

$43.9K

$128.1K

$175.2K

How much do machine learning data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for machine learning data engineer in Harrisburg, PA is $128,053.00, 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 is a machine learning data engineer?

A Machine Learning Data Engineer is responsible for designing, building, and maintaining the data infrastructure that supports machine learning models. They develop data pipelines, ensure data quality, and optimize data storage for efficient processing. This role involves working with large-scale datasets, implementing ETL processes, and collaborating with data scientists to deploy machine learning models. Strong knowledge of databases, cloud platforms, and programming languages like Python and SQL is essential. Their work enables organizations to leverage machine learning effectively by providing reliable and scalable data solutions.

What are the typical daily responsibilities of a machine learning data engineer?

As a Machine Learning Data Engineer, your daily responsibilities often include designing, building, and maintaining data pipelines that efficiently move and transform data for machine learning applications. You may clean, preprocess, and validate large datasets, optimize storage solutions, and work closely with data scientists to ensure data is accessible and usable for model training and evaluation. Regular collaboration with software engineers and business analysts is common to align project goals and solve data-related challenges. Staying up to date with the latest tools and technologies is also important, as you'll help enable scalable and efficient deployment of machine learning solutions.

What are the key skills and qualifications needed to thrive in the machine learning data engineer position, and why are they important?

To thrive as a Machine Learning Data Engineer, you typically need strong programming skills in Python or Scala, a deep understanding of data structures, algorithms, and machine learning concepts, as well as a degree in computer science or a related field. Experience with big data tools like Spark, Hadoop, and cloud platforms such as AWS or Azure, along with knowledge of data pipelines and ETL processes, is highly valuable; certifications in these areas can be advantageous. Problem-solving ability, attention to detail, and strong communication skills help professionals excel when working with diverse technical teams and stakeholders. These skills ensure data engineers can effectively build reliable, scalable data systems that support the development and deployment of machine learning models.

Can a machine learning data engineer become a machine learning engineer?

A machine learning data engineer can transition to a machine learning engineer role by developing skills in model development, algorithms, and deployment, often requiring knowledge of programming languages like Python and frameworks such as TensorFlow or PyTorch. Gaining experience in building and deploying models, along with understanding machine learning concepts, is essential for this career progression.

What is the salary of machine learning data engineer?

The salary of a machine learning data engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools may earn higher compensation.

What job categories do people searching Machine Learning Data Engineer jobs in Harrisburg, PA look for?

The top searched job categories for Machine Learning Data Engineer jobs in Harrisburg, PA are:

Machine Learning Data Engineer jobs near you
Infographic showing various Machine Learning Data Engineer job openings in Harrisburg, PA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 16% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $128,053 per year, or $61.6 per hour.

Generative AI Engineer III - State and Local Government

Mechanicsburg, PA • On-site

Deloitte
Finance and Insurance • 10K+ employees
Learn more about Deloitteexternal

$54.50 - $73.25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

Job description

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an AI and Data Science Engineer III on the team, you will be responsible for:

  • Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
  • Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
  • Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
  • Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
  • 1+ years of technology consulting experience in the State Government or Local Government space
  • Active certification in Python, PySpark, PyTorch, or TensorFlow
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • Ability to obtain and maintain a US government security clearance
  • 2+ years of experience deploying machine learning models into production environments
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

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 $110,700 to $218,300.

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.

ai&e fy27 profile

Qualifications:

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work you'll do

As an AI and Data Science Engineer III on the team, you will be responsible for:

  • Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
  • Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
  • Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
  • Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
  • Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

The team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Qualifications

Required:

  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
  • 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
  • 1+ years of technology consulting experience in the State Government or Local Government space
  • Active certification in Python, PySpark, PyTorch, or TensorFlow
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
  • Ability to obtain and maintain a US government security clearance
  • 2+ years of experience deploying machine learning models into production environments
  • 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
  • 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
  • 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

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 $110,700 to $218,300.

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.

ai&e fy27 profile

Education:Bachelor's DegreeEmployment Type:

What Deloitte employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply