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Data Engineer Data Bricks Jobs in Wisconsin (NOW HIRING)

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 ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

The ideal candidate will possess expertise in Databricks and modern data engineering tools such as Azure Data Factory, combined with hands on experience working with biological, genomic, or other ...

Data Engineer II

Green Bay, WI · On-site

$111K - $133K/yr

... data engineering, information systems, or related field or equivalent experience; master's degree preferred • 5+ years of hands-on experience in data engineering or related roles • Professional ...

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

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 ...

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 ...

Data Engineer II

Madison, WI · On-site

$78K - $134K/yr

Microsoft Certified: (or equivalent cloud) Azure Data Engineer * Experience in healthcare, insurance, or other regulated industries. * Knowledge of security, privacy, and compliance frameworks (e.g ...

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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.
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What cities in Wisconsin are hiring for Data Engineer Data Bricks jobs? Cities in Wisconsin with the most Data Engineer Data Bricks job openings:

Palantir Data Engineer | ONSITE

Kaav Inc.

Milwaukee, WI • On-site

$112K - $135K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

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 consistency
  • Collaborate with data scientists and analysts to support their data needs
  • Optimize data workflows for performance and scalability
  • Implement data security and privacy best practices

Required:

  • Proven experience as a Palantir Data Engineer
  • Proficiency in SQL, Python, and PySpark
  • Experience with data integration and ETL processes
  • Familiarity with data warehousing solutions like Snowflake
  • Knowledge of data visualization tools such as Qlik and Power BI
  • Experience with Azure Data Factory ADF is a plus
  • Strong problem-solving skills and attention to detail
  • Experience with Palantir Foundry

Preferred:

  • Knowledge of big data technologies and frameworks
  • Strong communication and collaboration skills

Required Skills: ETL Additional Skills: Data Engineer