Top 5 data engineer Jobs in green bay, wi

Data Engineer I
Fielmann USA —Green Bay, WI
- Overtime
- Computer science
- Azure
- Computer Science
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Senior Data Engineer I
HEARTLAND BUSINESS SYSTEMS LLC —Little Chute, WI
- Full-time
- Hybrid work
- 7 years
- Writing skills
- Analysis skills
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Data Engineer II
Fielmann USA —Green Bay, WI
- Overtime
- Computer science
- Azure
- Computer Science
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Senior DevOps Engineer – Data Engineering
innoVet Health, LLC —United States
- From $140,000 a year
- Full-time
- Remote
- HIPAA
- SQL
- AWS
- Health insurance
- Dental insurance
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10d

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T-SQL/.NET Developer - WI resident
Integrated New Media, Inc —Wisconsin
Microsoft SQL Server certification (70-762, DP-300, or equivalent) is a plus. You'll serve as a technical anchor for our data layer - designing schemas, tuning…
$85,000 - $125,000 a year
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SQL/ETL Developer I
Network Health, Inc —Menasha, WI
Requires BS in Computer Science, Business, or related technical field or equivalent years of experience may be substituted.

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Lead Data Engineer
Agility Partners —Dublin, OH
Collaborate with business and technical stakeholders to define, test, and deploy clean, optimized pipelines. Proven track record of cloud data engineering work…
$145,000 - $150,000 a year
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2d
Lead Data Engineer
OPERS —Columbus, OH
A bachelor’s degree in related field with at least 6 years of experience a hands-on engineering role. You will collaborate with cross-functional teams,…
$111,820.80 - $139,755.20 a year
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data engineer jobs near green bay, wi

Data Engineer I

Fielmann USA -
Green Bay, WI

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Job Details

Full-time

Qualifications

Software engineering
Software coding
Git
SQL
Fax machines
Version control systems
Productivity software
Statistical analysis tools
Database software proficiency

Full 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.

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data engineer jobs in green bay, wi

Data Engineer I

Senior Data Engineer I

Data Engineer II

Senior DevOps Engineer – Data Engineering

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