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Machine Learning Data Engineer Jobs in Harrisburg, PA

Cleveland Brothers

Data Steward

Harrisburg, PA · On-site

Computer Science, Engineering, Information Systems, etc.) or equivalent work experience will be ... machinery and much more, in addition to full truck service for all makes and models. With 29 ...

Varsity Tutors

Python Tutor

Harrisburg, PA · Remote

$18 - $40/hr

... Python to machine learning, web scraping, scientific computing, and DevOps applications ... data science, software development, or academic computing work. * Effective Teaching Methods:

Kinsley Steel, Inc.

Machine Operator

York, PA · On-site

$16.75 - $20/hr

Our certified and highly-skilled teams specialize in structural steel design, engineering ... Transfer data onto materials.Keep a clean, organized and safe work area.Keep and manage an accurate ...

Johnson Controls

Quality Engineer - Machining

York, PA · On-site

$80K - $100K/yr

... Machine Operators, Machinists, etc). This role will play an integral role in the continued growth ... Demonstrated problem solving, process capability, data analysis, measurement systems analysis, GD&T ...

American Wire Group

Machine Operator

York, PA · On-site

$16.75 - $20/hr

... utility, data center, and renewable energy markets, sold exclusively through electrical ... Ambition: will ask questions, will take notes, and will show interest in learning new things, once ...

American Wire Group

Machine Operator

York, PA · On-site

$16.75 - $20/hr

... utility, data center, and renewable energy markets, sold exclusively through electrical ... Ambition: will ask questions, will take notes, and will show interest in learning new things, once ...

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Showing results 41-60

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

$175.3K

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

As of Aug 12, 2026, the average yearly pay for machine learning data engineer in Harrisburg, PA is $128,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,800.00 per year, depending on experience, location, and employer.

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 machine learning models is essential for this career progression.

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.

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 popular job titles related to Machine Learning Data Engineer jobs in Harrisburg, PA? For Machine Learning Data Engineer jobs in Harrisburg, PA, the most frequently searched job titles are:
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 August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,072 per year, or $61.6 per hour.

SAP Datasphere, SAC, and AI Architect

Data-Core System

Middletown, PA • Remote

$79.25 - $106.75/hr

Contractor

Re-posted 7 days ago

Job description

Data-Core Systems, Inc. is a provider of information technology, consulting, and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities, and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise, and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visit https://datacoresystems.com/.


Our client is a roadway system, and as a part of their digital transformation, they are implementing a solution based on SAP BRIM & Microsoft Dynamics CE.


Data-Core Systems Inc. is seeking a SAP Datasphere, SAC, and AI Architect to be a part of our Consulting team. You will participate and effectively contribute to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives. You will have the opportunity to work with other SME consultants from our existing team.


Roles & Responsibilities:

Enterprise Data & Analytics Architecture.

  • Lead the architecture and design of enterprise data, analytics, and AI solutions leveraging SAP Datasphere, SAP Analytics Cloud (SAC), and SAP BTP.
  • Define data architecture standards, governance models, integration strategies, and best practices.
  • Design scalable and secure enterprise data models supporting reporting, analytics, planning, forecasting, and AI use cases.
  • Develop architecture roadmaps aligned with organizational digital transformation strategies.

SAP Datasphere Architecture & Engineering.

  • Design and implement SAP Datasphere solutions for enterprise data integration, virtualization, modeling, and governance.
  • Architect data pipelines integrating SAP and non-SAP source systems.
  • Define semantic models, business layers, and data products for analytics consumption.
  • Optimize data performance, scalability, and security within Datasphere environments.
  • Establish data governance, lineage, cataloging, and quality management practices.

SAP Analytics Cloud (SAC) Architecture.

  • Design enterprise reporting, dashboarding, and planning solutions using SAP Analytics Cloud.
  • Architect SAC models, stories, planning applications, and predictive analytics solutions.
  • Define KPI frameworks, executive dashboards, and operational reporting standards.
  • Support integration between SAC, Datasphere, SAP S/4HANA, BW/4HANA, and third-party data sources.
  • Optimize SAC performance, security roles, and user experience.

AI & Intelligent Enterprise Solutions.

  • Lead the architecture and integration of AI/ML capabilities within SAP environments.
  • Evaluate and implement SAP AI technologies, including:
    • SAP AI Core.
    • SAP AI Launchpad.
    • Joule and Generative AI capabilities.
    • Predictive analytics and machine learning models.
  • Design AI-enabled use cases, including:
    • Forecasting.
    • Intelligent automation.
    • Predictive maintenance.
    • Customer analytics.
    • Financial insights.
  • Collaborate with data science teams to operationalize AI/ML models within enterprise workflows.

Integration & Technical Leadership.

  • Architect integrations across:
    • SAP S/4HANA.
    • SAP BW/4HANA.
    • SAP BTP.
    • SAP SuccessFactors.
    • SAP Ariba.
    • External cloud platforms and data lakes.
  • Guide development teams on APIs, data services, event processing, and cloud-native integration patterns.
  • Ensure enterprise security, compliance, and performance standards are met.

Governance, Security & Compliance.

  • Establish enterprise standards for:
    • Data governance.
    • Data quality.
    • Master data management.
    • Security and access controls.
    • AI governance and responsible AI practices.
  • Ensure compliance with organizational and regulatory requirements.

Project Leadership & Stakeholder Engagement.

  • Lead architecture workshops, solution reviews, and technical strategy sessions.
  • Collaborate with business stakeholders to translate business requirements into scalable analytics and AI solutions.
  • Provide technical leadership and mentoring to developers, analysts, and engineering teams.
  • Communicate architecture decisions, risks, and recommendations to executive leadership.

Documentation & Operational Support.

  • Develop and maintain architecture diagrams, standards, technical specifications, and operational procedures.
  • Support testing, deployment, cutover, and post-production stabilization activities.
  • Assist with production issue resolution and continuous improvement initiatives.


Required Skills & Experience:

  • 8+ years of enterprise SAP data and analytics experience.
  • 5+ years of hands-on experience with SAP Datasphere and/or SAP Analytics Cloud.
  • Proven experience in architecting enterprise analytics and reporting platforms.
  • Experience implementing AI/ML or predictive analytics solutions in enterprise environments.
  • Proven experience, expertise, and strong understanding in:
    • SAP Datasphere.
    • SAP Analytics Cloud (SAC).
    • SAP Business Technology Platform (BTP).
    • Data modeling and enterprise analytics architecture.
    • Data warehousing concepts.
    • ETL/ELT processes.
    • Cloud-native architectures.
    • Data governance and security.
    • AI/ML lifecycle management.
    • Python or related analytics/programming languages.
    • APIs and integration services.
    • Data visualization and dashboard design.
  • SAP BW/4HANA, SAP HANA native modeling, SAP AI Core, and AI Launchpad,Generative AI integrations, and large-scalecloud data platforms.
  • Experience in utilities, telecommunications, finance, manufacturing, or public sector industries.
  • Experience with Agile, DevOps, and CI/CD delivery methodologies.


Certifications & Education Qualifications:

  • Preferred certifications include one or more of the following:
    • SAP Certified Application Associate - SAP Analytics Cloud.
    • SAP Certified Technology Specialist - SAP Datasphere.
    • SAP Certified Development Associate - SAP Extension Suite / SAP BTP.
    • SAP Certified Application Associate - SAP BW/4HANA.
    • Cloud certifications (AWS, Azure, Google Cloud).
    • AI/ML certifications from SAP, Microsoft, AWS, or Google preferred.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Business Technology, or a related technical discipline.
  • An equivalent combination of education and relevant experience may be considered.


We are an equal opportunity employer.


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