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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 ...

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 ...

CCI Systems, Inc.

OSP Design Engineer

Eau Claire, WI · On-site

Design aerial path based on field data and engineering best practices. * Ensure that all designs and new attachments satisfy utility standards and relevant codes (E.G. NESC / GO95 standards)

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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 May 28, 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 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 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 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 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 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

Data Analyst

TTM Technologies

Chippewa Falls, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

TTM Technologies, Inc. - Publicly Traded US Company, NASDAQ (TTMI) - Top-5 Global Printed Circuit Board Manufacturer
About TTM
TTM Technologies, Inc. is a leading global manufacturer of technology products, including mission systems, radio frequency ("RF") components, RF microwave/microelectronic assemblies, and technologically advanced printed circuit boards ("PCB"s). TTM stands for time-to-market, representing how TTM's time-critical, one-stop design, engineering and manufacturing services enable customers to reduce the time required to develop new products and bring them to market.
Additional information can be found at www.ttm.com
TTM Technologies is seeking a Data Analyst with and understanding of Quality Production Engineering. This role will design, develop, and maintain dashboards and reports that provide actionable insights for forecasting and managing demand across our product lines.
Job Duties:
  • Diagnose problems in the production line and provide recommendations and training.
  • Assess and analyze current production methods
  • Develop and write program improvements for production and other areas to improve efficiency
  • Develop and draft an improved production process
  • Design and implement cost-reductive changes
  • Maximize productivity of machinery and workers
  • Lead Capacity studies for assigned processes
  • 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 unstructured data from disparate sources
  • Clean and validate the data to ensure accuracy, completeness, and uniformity
  • Devise and apply models and algorithms to mine the stores of big data
  • Analyzing the data to identify patterns and trends
  • Interpret the data to discover solutions and opportunities
  • Communicate findings to stakeholders using visualization and other means
  • Identify the data-analytics problems that offer the greatest opportunities to the organization

Qualifications:
  • Bachelor's degree in Programming, Production Engineering or Industrial Engineering with 2-5 years of experience, or Bachelor's degree in Engineering, or an equivalent combination of 5+ years' practical experience and coursework is preferred.
  • Superb analytical, problem-solving, and critical thinking skills.
  • Proficiency with Microsoft Office is preferred
  • Demonstrated proficiency with a programming language such as Python, Matlab or Visual Basic is preferred.
  • Experience or familiarity with CAD is preferred
  • Familiarity with standardized work combination tables, Takt time, cycle time, etc.
  • Fundamental concepts in data science and analytics
  • Understanding of SQL and relational databases
  • Experience in SQL Join and conditional flow statements is preferred
  • RStudio for programming experience is preferred

#LI-KD1
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Compensation and Benefits:
TTM offers a variety of health and well-being benefit programs. Benefit options include medical, dental, vision, 401K, Flexible Spending Account, Health Savings Account, accident benefits, life insurance, disability benefits, paid vacation & holidays. Benefits are available 1st of the month following date of hire.
Compensation for roles at TTM Technologies varies depending on a wide array of factors including but not limited to the specific office location, role, skill set and level of experience. As required by local law, TTM provides a reasonable range of compensation for roles that may be hired in New York, California and Colorado. For California-based roles, compensation ranges are based upon specific physical locations.
Export Statement:
Must comply with TTM Export Control Policies and Procedures and all applicable laws including ITAR, EAR and OFAC including but not limited to: a) being able to identify ITAR product on the manufacturing floor and understand that access to these products and related technical data is restricted to only US Citizens and US Permanent Residents; b) recognition of Foreign Person visitors by badge differentiation; c) understand and follow authorization procedures for bringing foreign visitors into facilities (VAL); d) understand the Export and ITAR requirements for shipments leaving the US; e) manage vendor approvals for ITAR manufacturing and services.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, disability or protected veteran status.

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