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Data Engineer II – Databricks
CLA (CliftonLarsonAllen). Build, test, deploy, and maintain data pipelines using Azure Databricks, Azure Data Factory, SQL, and Python .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining data pipelines using Azure Databricks, Azure Data Factory, SQL, and Python, while ensuring compliance with performance and security standards. Proficient in collaborating with cross-functional teams and documenting technical solutions to support data engineering initiatives.
Highest-signal resume keywords
Azure DatabricksData Pipeline DevelopmentSQLPythonCloud Engineering Technologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringData IntegrationETL ProcessesData WarehousingData ModelingApache SparkCloud-Based Data ProcessingTechnical DocumentationPerformance MonitoringTroubleshooting
Soft Skills
CollaborationCommunicationProblem-SolvingAgile PracticesDocumentation
Tools & Technologies
Azure Data FactoryGitHubSnowflakeMicrosoft Power BITableauMatplotlibMicrosoft 365
Industry Keywords
Data GovernanceComplianceCloud TechnologiesMiddlewareEnterprise Systems
Tech Stack
Tools & technologiesApacheAWSAzureCloudETLPythonSnowflakeSparkSQLTableau
About the role
Key responsibilities & impact- Build, test, deploy, and maintain data pipelines using Azure Databricks, Azure Data Factory, SQL, and Python
- Support integration of data across databases, data warehouses, APIs, ETL processes, middleware, and enterprise systems
- Ensure data engineering solutions meet performance, reliability, security, compliance, and governance requirements
- Collaborate with data engineers, architects, analysts, business partners, and technology teams
- Contribute to technical design discussions, platform decisions, and continuous improvement initiatives
- Participate in releases aligned with business goals, technical standards, and data governance policies
- Monitor data pipelines and troubleshoot performance, reliability, and data-quality issues
- Improve system reliability and maintainability through documentation, testing, source control, and code-quality practices
- Support data modeling, transformation, and data warehouse development
- Develop and maintain technical documentation, including data mappings, pipeline documentation, operational procedures, and support materials
- Participate in Agile practices including sprint planning, daily stand-ups, backlog refinement, demonstrations, and retrospectives
- Build knowledge of cloud data engineering technologies, emerging tools, and industry best practices
Requirements
What you’ll need- 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
- Bachelor’s degree required
- A combination of relevant experience, education, and training may be accepted in lieu of a degree
- 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 Microsoft Power BI, Tableau, or Matplotlib
- Proficiency with Microsoft 365 applications, including Microsoft Teams, Outlook, Word, Excel, and PowerPoint
- Ability to clearly document technical solutions and collaborate with technical and business stakeholders
- Travel less than 10%
Benefits
Comp & perks- Health insurance
- Dental insurance
- Vision insurance
- 401(k)
- Comprehensive benefit options supporting physical, financial, social, and emotional well-being