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Data Management Jobs in Butler, PA (NOW HIRING)

Data Scientist I

Warrendale, PA · On-site

$85 - $115/hr

Managing GenAI application including back-end and front-end integrations * Using Python (e.g ... the data and expertise needed to achieve better deals across technology, third-party labor ...

Managing GenAI application including back-end and front-end integrations * Using Python (e.g ... the data and expertise needed to achieve better deals across technology, third-party labor ...

Data Entry Technician

Chicora, PA · On-site

$16.75 - $21.75/hr

As a Data Entry Technician , your primary responsibility is the management of Pharmacy orders. * Communicate with nursing facilities for order clarification. * Triaging of pharmacy orders.

Data Entry Technician

Chicora, PA

$16.75 - $21.75/hr

As a Data Entry Technician , your primary responsibility is the management of Pharmacy orders. * Communicate with nursing facilities for order clarification. * Triaging of pharmacy orders.

Minimum 5 years Product manager experience * Minimum 2 Years experience with data products (Fabric, Power BI, AI Agents) * Strong working knowledge of Power BI and modern data/reporting environments ...

Oversee HRIS administration, including configuration, data management, and system optimization * Establish data governance standards, including audits, controls, and standardized processes * Partner ...

Oversee HRIS administration, including configuration, data management, and system optimization * Establish data governance standards, including audits, controls, and standardized processes * Partner ...

Showing results 21-40

Data Management information

See Butler, PA salary details

$27.9K

$87.6K

$155.1K

How much do data management jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data management in Butler, PA is $87,578.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $113,100.00 per year, depending on experience, location, and employer.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is a data management analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in data management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What are some common challenges faced by data management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database systems, data governance policies, and data quality tools, requiring skills in data analysis, SQL, and sometimes certifications like CDMP or DAMA-DMBOK. The role supports organizations in making informed decisions and complying with data regulations.

What skills are needed for data management jobs?

Data management jobs require strong analytical skills, proficiency in database tools like SQL, data modeling, and knowledge of data governance and security practices. Familiarity with data management software, attention to detail, and the ability to organize large datasets are also essential. Certifications such as Certified Data Management Professional (CDMP) can enhance job prospects.

What cities near Butler, PA are hiring for Data Management jobs?

Cities near Butler, PA with the most Data Management job openings:

Infographic showing various Data Management job openings in Butler, PA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $87,578 per year, or $42.1 per hour.

Data Scientist I

Green Cabbage

Warrendale, PA • On-site

$85 - $115/hr

Other

Re-posted 24 days ago


Job description

About the Role

At Green Cabbage we empower our customers in the procurement and negotiation process with industry data to save money, time and risk. The company is growing rapidly, and we want to set the foundation for accelerating our development team. We are currently designing, building, and optimizing our core data science offerings and looking for a Data Scientist to join our team to steward experimentation and innovation.

Key Responsibilities
  • Analyze and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning and technical execution.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone and encourage others to do the same.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Qualifications
  • Bachelor's Degree
  • 3 years in a quantitative field (Computer Science, Mathematics, Machine Learning, AI, Statistics, Operational research or equivalent)
  • At least 1 year of direct experience with feature identification in developing predictive models, data acquisition and preparation, and hypothesis testing.
  • At least 1 year experience in Python, R or other relevant language.
You demonstrate experience in
  • Heavy contributor in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients
  • Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach
  • Experience processing unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases; and
  • Demonstrates abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:
    • Managing GenAI application including back-end and front-end integrations
    • Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);
    • Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization
    • Vectorization and embedding, prompt engineering, RAG (retrieval augmented generation) workflow development
    • Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms
    • Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.
Why Green Cabbage

Green Cabbage, the Global Leader in Procurement Intelligence, provides mid-market and enterprise clients with the data and expertise needed to achieve better deals across technology, third-party labor, marketing, and travel & expense contracts. Our flagship platform, Harvest, empowers procurement teams worldwide to access Green Cabbage’s precise, governed intelligence.

At Green Cabbage, we foster a collaborative, high-energy, and growth-minded culture. We move quickly, value accountability, and celebrate team wins. If you’re passionate about building secure, modern IT systems that keep a business running efficiently and safely, we’d love to hear from you.

We are an Equal Opportunity Employer and make employment decisions based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind based on race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other protected characteristic under federal, state, or local law.

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