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Entry Level Data Analytics Engineer Jobs in Appleton, WI

Data Engineer I

Green Bay, WI · On-site

$111K - $133K/yr

Support the transformation of raw data into usable information for analysts and other internal ... engineers DATA INTEGRATION • Assist with integrations from various data sources into the data ...

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise ... This individual will perform development, analysis, testing, debugging, documentation ...

Description The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health ... This individual will perform development, analysis, testing, debugging, documentation ...

Reliability Engineer

Oshkosh, WI · On-site

$64K - $103K/yr

This role focuses on applying data analysis to support Reliability and Maintainability (R&M ... Collaborate with engineering and maintenance development teams to translate data insights into ...

Reliability Engineer

Oshkosh, WI · On-site

$64K - $103K/yr

This role focuses on applying data analysis to support Reliability and Maintainability (R&M ... Collaborate with engineering and maintenance development teams to translate data insights into ...

The BI Developer delivers high-impact reporting and dashboarding solutions for our new Acumatica ER ... Bachelor's Degree in Data Analytics, Computer Science, IT, or equivalent work experience preferred.

The BI Developer delivers high-impact reporting and dashboarding solutions for our new Acumatica ER ... Bachelor's Degree in Data Analytics, Computer Science, IT, or equivalent work experience preferred.

We are seeking entry-level to experienced candidates to become an integral part of our engineering ... Document all design activity with CAD models, design drawings, analysis results, and design review ...

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Showing results 1-20

Entry Level Data Analytics Engineer information

See Appleton, WI salary details

$43.4K

$126.6K

$173.2K

How much do entry level data analytics engineer jobs pay per year?

As of Jul 9, 2026, the average yearly pay for entry level data analytics engineer in Appleton, WI is $126,568.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $134,200.00 per year, depending on experience, location, and employer.

What are some typical projects an Entry Level Data Analytics Engineer might work on during their first year?

As an Entry Level Data Analytics Engineer, you can expect to work on projects such as cleaning and organizing raw data, building basic data pipelines, and supporting senior engineers in developing dashboards or reports. You may also assist with troubleshooting data issues and automating repetitive tasks using scripts. These tasks help you gain hands-on experience with common tools and platforms, and provide exposure to teamwork and cross-functional collaboration with data analysts, business stakeholders, and IT teams.

What is an Entry Level Data Analytics Engineer?

An Entry Level Data Analytics Engineer is a professional who assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with large datasets, utilize tools like SQL, Python, or Excel, and help build data pipelines and dashboards. At the entry level, they focus on supporting senior data engineers and analysts, learning best practices, and developing foundational technical skills. This role is ideal for recent graduates or those new to the field looking to gain experience in data engineering and analytics.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analytics Engineer, and why are they important?

To thrive as an Entry Level Data Analytics Engineer, you need foundational knowledge in statistics, data analysis, and programming, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as SQL, Python, Excel, and data visualization platforms like Tableau or Power BI is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data and collaborate with cross-functional teams. These skills ensure you can extract meaningful insights from data, support business decisions, and contribute to data-driven organizational goals.
What are popular job titles related to Entry Level Data Analytics Engineer jobs in Appleton, WI? For Entry Level Data Analytics Engineer jobs in Appleton, WI, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analytics Engineer jobs in Appleton, WI look for? The top searched job categories for Entry Level Data Analytics Engineer jobs in Appleton, WI are:

Data Engineer I

Fielmann USA

Green Bay, WI • On-site

$111K - $133K/yr

Full-time

Re-posted 28 days ago


Job description

Onsite- Green Bay, WI.

POSITION SUMMARY:

Responsible for the development and maintenance of data pipeline infrastructures, ensuring the seamless flow of data for various needs within the organization. Work alongside data professionals, contributing to the design and implementation of data architectures that meet the evolving needs of the business. Support the transformation of raw data into usable information for analysts and other internal stakeholders.


DUTIES AND RESPONSIBILITIES:

DATA PIPELINE DEVELOPMENT

• Assist in building and maintaining data pipelines from internal databases and SaaS applications

• Support the development of ETL (Extract, Transform, Load) processes

• Assist in implementing data validation and quality checks to ensure accuracy and consistency

• Write clean, documented, and maintainable code following established standards


DATA INFRASTRUCTURE SUPPORT

• Assist in maintaining databases, data warehouses, and data lake components

• Support the configuration and monitoring of data infrastructure

• Assist in troubleshooting basic data processing issues and escalate complex problems

• Participate in code reviews and incorporate feedback from senior engineers


DATA INTEGRATION

• Assist with integrations from various data sources into the data ecosystem

• Assist in maintaining connections with internal and external APIs

• Support data ingestion processes for structured and unstructured data

• Document integration processes and data flow for transparency and standardization


COLLABORATION & DOCUMENTATION

• Create and maintain systems and process documentation

• Collaborate with various engineers and analysts to support their work

• Participate in team meetings and contribute to planning discussions

• Actively seek out learning opportunities and keep up with advancements in data engineering practices


MINIMUM KNOWLEDGE, EXPERIENCE & SKILLS REQUIREMENTS:

• Bachelor’s degree in computer science, data engineering, information systems, or related field or equivalent experience

• 1 - 2 years of experience in data engineering, software development or related roles

• Experience using Python, Java, or Scala for data processing (Python preferred)

• Familiar with data-related Python packages (pandas, NumPy)

• Basic understanding of SQL and relational databases

• Basic knowledge of version control systems (Git)

• Understanding of data modeling fundamentals preferred

• Knowledge of Linux/UNIX operating systems preferred

• Exposure to cloud platforms (AWS, Azure,or Google Cloud Platform)

• Able to take direction, prioritize work, and manage multiple activities simultaneously

• Excellent communication skills

• Able to work independently and as part of a team

• Willing to share knowledge and experience with other members of the team

• Strong analytical and problem-solving skills

• Attention to detail and commitment to data quality

• Solid planning and organizational skills

• Proficiency with Microsoft Office Suite of programs


ESSENTIAL FUNCTIONS & WORK REQUIREMENTS:

• Ability to effectively communicate at all levels within the organization through written and two-way verbal communication

• Able to read and write at a high school graduate level

• Able to sit or stand for extended periods of time

• Able to operate various office equipment (e.g., personal computer, telephone, fax machine, copier, etc.)

• Able to lift 10 to 20 pounds

• Able to work overtime and regular and/or extended (evenings, nights, and weekends) office hours to meet established deadlines

• Able to travel independently to support Company objectives and personal development


These statements are intended to describe the general nature and level of work performed by teammates assigned to this job classification. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required.