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Data Engineer Data Bricks Jobs in Wisconsin (NOW HIRING)

CTech Manufacturing

Data Engineer

Schofield, WI · On-site

$114K - $137K/yr

Description: We're seeking a motivated and detail oriented Data Engineer to join our growing technology team. This is an excellent opportunity for a recent graduate or early career professional ...

Delta Dental Of Wisconsin

Data Engineer

Stevens Point, WI

$111K - $133K/yr

Delta Dental of Wisconsin is seeking a Data Engineer to design, build, and maintain the data infrastructure and pipelines that enable Delta Dental of Wisconsin to collect, process, and access high ...

Wisconsin

Data Engineer

Madison, WI · On-site

$50K/yr

Data Engineer I Job Summary: About Us: The Institute on Aging is a research unit whose mission is to promote the health and well-being of the adult and aging populations through excellence in ...

State of Wisconsin

Data Engineer

Madison, WI · On-site +1

$82K - $102K/yr

Under the supervision of the Manager of Court Data and Analytics the Data Engineer will focus on building and maintaining the Circuit Court Data Warehouse using advanced extraction, transformation ...

Fielmann USA

Data Engineer I

Green Bay, WI · On-site

$111K - $133K/yr

... 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 ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Posting Details Posting Details Posting Number NA01568 Position Information Position Title Data Engineer State Employment Status Full Time Position Status Regular If Limited Term (End Date of ...

MARS IT

Data Engineer

Milwaukee, WI

$112K - $135K/yr

The Senior Data Engineer (DevOps/AWS Migration) - HR workforce data analytics: is responsible for designing, developing, deploying, and supporting cloud based data and software solutions across the ...

Pwc

Data Engineer - Senior Manager

Milwaukee, WI

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Syntricate Technologies

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Data Engineer Location: Milford or Milwaukee, WI | On-site Interview mode: Zoom Video Interview Terms: 12 months+ Locals - Highly preferred Skills: Data Warehousing applications, ETL, IBM, AWS ...

Pwc

Data Strategy-Manager

Milwaukee, WI

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Overview The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that ...

Pwc

Data Governance- Manager

Milwaukee, WI · On-site

$99K - $232K/yr

... Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data ...

Samprasoft

Palantir Data Engineer | ONSITE

Milwaukee, WI · On-site

$112K - $135K/yr

Data Engineer Work Location: ONSITE - Milwaukee, Wisconsin Responsibilities: * Develop and maintain scalable data pipelines and systems * Integrate data from various sources ensuring data quality and ...

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Data Engineer Data Bricks information

What are Data Engineer Data Bricks?

A Data Engineer specializing in Databricks is a professional who designs, builds, and maintains data pipelines and infrastructure using the Databricks platform. Databricks is a cloud-based data analytics platform that facilitates big data processing, machine learning, and collaborative analytics. Data Engineers use Databricks to process large datasets, automate data workflows, and support data-driven decision-making for organizations. Their responsibilities often include cleaning and transforming data, optimizing data storage, and ensuring efficient data movement across systems.

What is the difference between Data Engineer Data Bricks vs Data Engineer Apache Spark?

AspectData Engineer Data BricksData Engineer Apache Spark
CredentialsTypically requires cloud platform certifications (Azure, AWS), Spark knowledge, and data engineering skillsRequires Spark expertise, programming skills, and often similar cloud certifications
Work EnvironmentCloud-based platforms with integrated tools, collaborative environment, managed servicesOn-premises or cloud, more manual setup, flexible environment
Industry UsagePopular in cloud-centric companies, data lakes, and analytics platformsWidely used across industries for big data processing, on-premises or cloud

Data Engineer Data Bricks focuses on cloud-based, managed Spark environments with integrated tools, while Data Engineer Apache Spark emphasizes core Spark skills applicable in various environments. Both roles require similar technical knowledge but differ mainly in platform and deployment context.

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

To thrive as a Data Engineer specializing in Databricks, you need strong expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, SQL, cloud platforms (like AWS or Azure), and relevant certifications (such as Databricks Certified Data Engineer) is typically required. Strong analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with cross-functional teams and translating business needs into data solutions. These skills ensure efficient data pipeline development, reliable data management, and impactful analytics in data-driven organizations.

What are some common challenges Data Engineers face when working with Databricks, and how can they be addressed?

Data Engineers working with Databricks often encounter challenges related to optimizing large-scale data pipelines, managing cluster resources efficiently, and ensuring seamless data integration across varied sources. Addressing these issues typically involves staying current with Databricks best practices, such as implementing Delta Lake for reliable data storage, using job scheduling to automate workflows, and proactively monitoring cluster performance. Collaborating closely with data scientists and analysts is also crucial to align data models and streamline the analytics process.
What are popular job titles related to Data Engineer Data Bricks jobs in Wisconsin? For Data Engineer Data Bricks jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Bricks jobs in Wisconsin look for? The top searched job categories for Data Engineer Data Bricks jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Engineer Data Bricks jobs? Cities in Wisconsin with the most Data Engineer Data Bricks job openings:
Data Engineer Data Bricks jobs near you
Data Engineer

Data Engineer

CTech Manufacturing

Schofield, WI • On-site

$114K - $137K/yr

Full-time

Retirement

Posted 18 days ago

Job description

Description:

We’re seeking a motivated and detail oriented Data Engineer to join our growing technology team. This is an excellent opportunity for a recent graduate or early career professional looking to build hands-on experience designing modern data solutions that directly impact business operations and decision making. In this role you will work closely with cross functional teams to help transition and modernize our existing ETL pipelines into scalable ELT processes, develop reporting and dashboard solutions, and support future AI and analytics initiatives.


Responsibilities:

Design, develop, and maintain ELT pipelines that move and transform data between business systems and databases

Assist in transitioning ETL workflows into scalable, efficient ELT processes

Work with SQL Server, PostgreSQL, and MongoDB databases to support operational and analytical needs

Develop, maintain, and optimize SQL queries, stored procedures, and database objects

Create and maintain business reports, dashboards, and visualizations using Power BI, SSRS, and related reporting tools

Collaborate with business stakeholders to understand reporting requirements and deliver actionable insights

Monitor and troubleshoot data pipelines, integrations, and reporting workflows to ensure reliability and accuracy

Document data processes, workflows, and technical solutions for internal teams

Collaborate with software developers and operational teams to support enterprise data initiatives

Stay current with emerging technologies, tools, and best practices in data engineering and analytics

Requirements:

Associate’s degree or higher in Computer Science, Data Science, Information Systems, or a related field

0-3 years of professional experience in data engineering, business intelligence, analytics, or related technical roles

Strong foundational knowledge of SQL and relational database concepts

Experience working with SQL Server, PostgreSQL, and/or MongoDB

Familiarity with data integration and workflow tools such as Apache Nifi

Experience developing reports and dashboards using Power BI, SSRS, or similar business intelligence platforms

Understanding of ETL/ELT concepts and data transformation workflows

Basic understanding of data modeling, normalization, and database design principles

Strong analytical and problem solving skills with attention to detail

Ability to manage multiple tasks and prioritize effectively in a collaborative environment

Eagerness to learn new technologies and grow within a data engineering career path


If you meet the above requirements and are excited about the opportunity to work with a talented team on challenging projects, we encourage you to apply. We offer a competitive salary, benefits package, 401(k) match, and opportunities for growth and development within the company. We also provide ongoing training and professional development opportunities to help our team members stay current with emerging technologies and best practices in data engineering.