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Data Engineer II - Databricks

CliftonLarsonAllen350 open roles

Where
Milwaukee WI
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Your applicationOpen nowData Engineer II - DatabricksCliftonLarsonAllen · Milwaukee WI

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The clock on this job

Early applications get read.

13.9% of postings close within 7 days. Measured by our own scanner across the market. CliftonLarsonAllen postings stay open a median of 36 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.9%7 days
  4. 22.4%14 days
  5. 38.1%30 days
  6. 59.0%60 days
This job: posted today

CliftonLarsonAllen median: 36 days open

The posting

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

About the role:

CLA is looking to hire a Data Engineer II to join our growing team. The Data Engineer II supports the design, development, and maintenance of scalable, secure, and high-performing data solutions. This role contributes to data pipeline development, data integration, platform reliability, and the delivery of trusted data solutions that support CLA’s business needs.

The ideal candidate has experience working with cloud-based data platforms, enjoys solving technical problems, and is eager to continue developing their data engineering skills while collaborating with experienced team members.

As a Data Engineer II, you will:

  • Build, test, deploy, and maintain data pipelines using Azure Databricks, Azure Data Factory, SQL, and Python.
  • Support the integration of data across databases, data warehouses, APIs, ETL processes, middleware, and other enterprise systems.
  • Help ensure data engineering solutions meet established performance, reliability, security, compliance, and governance requirements.
  • Collaborate with data engineers, architects, analysts, business partners, and other technology teams to deliver scalable data solutions.
  • Contribute to technical design discussions, platform decisions, and continuous improvement initiatives.
  • Participate in the delivery of releases aligned with business goals, technical standards, and data governance policies.
  • Monitor data pipelines and assist with troubleshooting performance, reliability, and data-quality issues.
  • Contribute to system reliability and maintainability through effective documentation, testing, source control, and code-quality practices.
  • Support data modeling, transformation, and data warehouse development activities.
  • Develop and maintain technical documentation, including data mappings, pipeline documentation, operational procedures, and support materials.
  • Participate in Agile delivery practices, including sprint planning, daily stand-ups, backlog refinement, demonstrations, and retrospectives.
  • Continuously build knowledge of cloud data engineering technologies, emerging tools, and industry best practices.

What you will need:

Experience

  • Two years of relevant data engineering, software engineering, data integration, or related technology experience required.
  • Experience working with cloud engineering technologies across Microsoft Azure or AWS required.
  • Experience with Databricks required.
  • Experience developing data pipelines using SQL and Python required.
  • Experience with databases, data warehouses, ETL processes, APIs, middleware, and enterprise system integrations preferred.

Education

  • Bachelor’s degree required.
  • A combination of relevant experience, education, and training may be accepted in lieu of a degree.
  • Degree in Computer Science, Mathematics, Information Technology, Data Engineering, or a related field preferred.

Certifications

No certifications are required.

One or more of the following certifications are preferred:

  • Databricks Certified Data Engineer Associate
  • Microsoft Certified: Azure Fundamentals
  • AWS Certified Data Engineer – Associate

Technical skills:

  • Proficiency with Microsoft Azure or AWS cloud technologies.
  • Proficiency with Azure Databricks, Azure Data Factory, SQL, and Python.
  • Experience with Apache Spark and cloud-based data-processing technologies.
  • Familiarity with GitHub or comparable source-control and development platforms.
  • Familiarity with Snowflake or comparable cloud data platforms.
  • Understanding of data modeling, data warehousing, databases, and ETL or ELT processes.
  • Familiarity with data-visualization tools such as Microsoft Power BI, Tableau, or Matplotlib.
  • Proficiency with Microsoft 365 applications, including Microsoft Teams, Outlook, Word, Excel, and PowerPoint.
  • Ability to document technical solutions clearly and collaborate with both technical and business stakeholders.

Travel:

Less than 10%.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Click here to learn about your hiring rights.

Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.

To view a complete list of benefits, click here.

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