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Data Engineer Data Jobs in Bloomer, WI (NOW HIRING)

TTM Technologies

Data Analyst

Chippewa Falls, WI · On-site

Collaborate with the production engineering staff in preparing & maintaining capacity models and plans * Determine the correct data sets and variables * Collect large sets of structured and ...

TTM Technologies

Data Analyst

Chippewa Falls, WI · On-site

Collaborate with the production engineering staff in preparing & maintaining capacity models and plans * Determinethe correctdata sets and variables * Collect large sets of structured and ...

Ttmtech

Data Analyst

Chippewa Falls, WI

Collaborate with the production engineering staff in preparing & maintaining capacity models and plans * Determinethe correctdata sets and variables * Collect large sets of structured and ...

NYP - Westchester Division

Data Scientist

Cornell, WI · On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... EssentialJob Duties Engineer high-quality features and train, validate, and iterate on ML models ...

NewYork-Presbyterian

Data Scientist

Cornell, WI · On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... EssentialJob Duties Engineer high-quality features and train, validate, and iterate on ML models ...

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All JobsData Engineer Data JobsData Engineer Data Jobs in Bloomer, WI

Data Engineer Data information

See Bloomer, WI salary details

$48.1K

$172.5K

$254.6K

How much do data engineer data jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data engineer data in Bloomer, WI is $172,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,600.00 and $177,700.00 per year, depending on experience, location, and employer.

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

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

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What cities near Bloomer, WI are hiring for Data Engineer Data jobs? Cities near Bloomer, WI with the most Data Engineer Data job openings:
Data Engineer Data jobs near you
Manager, Data Shared Services

Manager, Data Shared Services

NewYork-Presbyterian

Cornell, WI

$139K - $193K/yr

Full-time

Posted 6 days ago

NewYork-Presbyterian rating

8.5

Company rating: 8.5 out of 10

Based on 201 frontline employees who took The Breakroom Quiz

15th of 886 rated healthcare providers

Job description

LocationNew York, New YorkShift:Day (United States of America)Description:

Manager, Data Shared Services

Position Summary

The Manager, Data Shared Services (DSS) leads a team of Analytics Developers responsible for delivering enterprise data products, dashboards, semantic models, and analytics-ready datasets. This role provides both people and technical leadership, ensuring the delivery of trusted, scalable analytics solutions that support organizational decision-making.

In this role, you will partner with business leaders, data engineers, data scientists, and other stakeholders to translate business needs into actionable analytics products while advancing data governance, platform adoption, and continuous improvement.

Key Responsibilities

Leadership

  • Build and develop a high-performing analytics team through strategic hiring, mentoring, coaching, and succession planning aligned with organizational objectives.
  • Manage team priorities, resource allocation, and delivery commitments.
  • Establish and maintain development standards, quality practices, and documentation requirements.

Analytics & Technical Delivery

  • Oversee the design, development, and deployment of dashboards, semantic models, datasets, and other analytics products.
  • Provide technical leadership in data modeling, analytics engineering, and business intelligence development.
  • Ensure solutions meet enterprise standards for performance, scalability, security, and governance.
  • Partner with Data Engineering teams on data integration and platform initiatives.

Stakeholder & Program Management

  • Serve as a strategic partner to operational, clinical, and administrative leaders, aligning analytic priorities with organizational goals and translating business needs into actionable solutions.
  • Communicate project status, risks, and recommendations to stakeholders and leadership.
  • Drive continuous improvement through adoption of modern analytics practices, AI-assisted development tools, and data governance standards.

Required Qualifications

Education

  • Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Public Health, Biomedical Informatics, or a related field.

Experience

  • 5+ years of experience in analytics, business intelligence, analytics engineering, or data engineering.
  • 2+ years of experience leading, mentoring, or managing technical analytics teams.
  • Advanced SQL and dimensional data modeling skills.
  • Experience developing enterprise Power BI solutions, including DAX, Power Query, semantic models, security, and performance optimization.
  • Experience delivering analytics solutions in healthcare or other regulated environments.

Certification

  • Epic Cogito Certification required upon hire or within six (6) months of employment.

Preferred Qualifications

  • Master's degree in Computer Science, Data Science, Information Systems, Statistics, Public Health, Biomedical Informatics, Business Administration (MBA) or a related field.
  • Experience with Epic Clarity and Caboodle.
  • Knowledge of healthcare data standards, including HL7 FHIR, ICD-10, CPT, and LOINC.
  • Experience with cloud platforms, DevOps practices, and data governance tools.
  • Experience with Python, R, or other analytical programming languages.
  • Familiarity with Agile delivery, product management, and AI-assisted analytics development.

Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture of respect, belonging, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today.

Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.

NYP will not reimburse for travel expenses.

__________________

  • 2026 Best Companies in Healthcare, Biotech & Pharma - Glassdoor

  • 2026 Best Place to Work - Glassdoor

  • 2026 America's Best Large Employers - Forbes

  • 2026 America's Best-In-State Employers - Forbes

  • 2026 America's Dream Employers - Forbes

  • 2026 America's Greatest Workplaces for Culture, Belonging & Community - Newsweek

  • 2026 Best Places to Work in IT - Computerworld

  • 2025 Great Place to Work Certified

  • 2025 Best Employers for Women - Forbes

  • 2025 Companies that Care - People

  • 2025 America's Greatest Workplaces for Mental Well-Being - Newsweek

NewYork-Presbyterian Hospital is an equal opportunity employer.

Salary Range:

$139,000-$193,000/Annual

It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.

What NewYork-Presbyterian employees say

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