CLA (CliftonLarsonAllen)

Data Engineer

CLA (CliftonLarsonAllen)

full-time

Posted on:

Location Type: Office

Location: Milwaukee • North Carolina • Texas • United States

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Tech Stack

AWSAzureCloudETLHadoopPythonSparkSQLTableau

About the role

  • Assist in building and maintaining data pipelines using Azure Databricks and Azure Data Factory.
  • Support efforts to ensure performance, reliability, security, and compliance in data engineering solutions.
  • Collaborate with team members to implement technical direction and contribute to platform‑level decisions.
  • Participate in delivering releases aligned with business goals, technical standards, and governance policies.
  • Contribute to improvements in system reliability and maintainability through documentation and code quality practices.
  • Participate in agile processes, including sprint planning, stand‑ups, and retrospectives.

Requirements

  • 2 years of relevant experience required
  • Experience with cloud engineering across Azure or AWS and Databricks required
  • Exposure to enterprise data pipelines, databases/data warehouses, and system integrations (APIs, ETL, middleware) preferred.
  • Bachelor's degree or a combination of relevant experience and training may be considered in lieu of a degree.
  • Proficiency in Microsoft Outlook and Office products (Teams, Word, Excel, PowerPoint, etc.)
  • Advanced proficiency in programming, such as, Python, R, Snowflake, GitHub, and SQL required.
  • Proficiency in data visualization tools such as Tableau, Power BI, matplotlib
  • Proficiency in data modeling and big data technologies such as Hadoop and Spark
  • Proficiency in data privacy regulations such as DGPR and CCPA
  • Familiarity with cloud platforms (Azure or AWS)
  • Clear understanding of data warehouse concepts and ETL processes.
Benefits
  • Flexible PTO (designed to offer flexible time away for you!)
  • Up to 12 weeks paid parental leave
  • Paid Volunteer Time Off
  • Mental health coverage
  • Quarterly Wellness stipend
  • Fertility benefits
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Azure DatabricksAzure Data FactoryPythonRSnowflakeGitHubSQLTableauPower BIHadoop
Soft Skills
collaborationdocumentationcode qualityagile processessprint planningstand-upsretrospectives