Senior Data Engineer

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We recognize that not everyone wants to grow their career in the same way. That's why CLA exists to create opportunities. We promise to know you and help you.

CLA, one of the nation's largest public accounting and professional services firm is currently seeking a Senior Data Engineer. This role works with our Enterprise Business Solutions - Technology team and will be a fully remote position.

Position Summary

The Senior Data Engineer leads collaboration with Data Engineers and other internal stakeholders to develop solutions that enable data, insights, analytics, and actionable triggers and solutions. S/he utilizes a full range of data technologies to create new data patterns, establishing best practices and standards for managing large collections of data. The Senior Data Engineer will report directly to the Manager of Data Engineering and works with a broad range of internal IT teams, business facing and potentially, external vendors.

As a Senior Data Engineer, you will:

• Design and direct building of data pipelines, utilizing Azure Databricks and Azure Data Factory to build scalable solutions.
• Act as point of escalation for Data Engineers to troubleshoot data-related problems.
• Authorize maintenance, modifications and peer review as needed during the building process.
• Continually ensure successful operational monitoring and pipeline maintenance.
• Leads team of Data Engineers and other members of the Data Analytics team to analyze existing software programs and technology processes, ensuring continued effectiveness and efficiency.
• Act as point of escalation for troubleshooting software problems.
• Lead team in gathering and analyzing data for business projects, as well as mapping underlying processes and data flows.
• Follows an existing framework to design and build various software systems at the request of other internal teams and on behalf of clients.
• Lead development of reports and data extraction as requested by other teams for use within the firm and on behalf of clients.
• Lead implementation of new technology for firm use, as well as creating roadmaps and tools to guide and monitor usage.

Your experience likely includes:

• 8+ years of experience total with 5+ years of work experience in information technology with experience with data analytics tools and 3+ years of hands on experience in design or development of enterprise data solutions, applications and integrations.
• Bachelor's degree in computer science, mathematics, or related field required. (5 or more years' experience in data engineering plus 2 years in AI/Machine Learning may be considered in lieu of a Bachelor's degree). Master's degree in computer science, mathematics, or related field preferred.
• Experience with core programming skills in languages Python and SQL.
• Knowledge or experience with a variety of database technologies such as SQL Server and Azure Synapse.
• Hands on experience in Azure cloud environment.
• Knowledge with design of data integrations using Rest APIs, streaming technologies, ETL, ELT and other Data Integration patterns utilizing tools such as SSIS, Databricks and Azure Data Factory.
• Experience with Data architecture principles such as Data Lake, Databricks Delta Lake, Data Warehousing and Star Schema.
• Experience working in an Agile/Scrum environment with CI/CD pipelines.
• Experience with Power BI or similar Data Visualization tool.

Compensation Strategy:

Our approach to compensation emphasizes collaboration and career growth. We pay competitive wages and view compensation as an investment in our people. Factors such as geography, experience, education, skills, and knowledge may impact position of pay within the range. These same factors may cause starting pay to be below or above the posted range. For Colorado, the posted range for this role is $80,000 - $160,000.

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CLA exists to create opportunities for our people, our clients, and our communities. We are a proud equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity/expression, disability status, protected veteran status, national origin, or any other characteristic protected by law.

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