Cloud Data Engineer

Cloud Data Engineer Req number: R8184 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are looking for a motivated Cloud Data Engineer ready to take us to the next level! If you have Databricks expertise and strong SQL/PL-SQL skills and are looking for your next career move, apply now. Job Description We are looking for a Cloud Data Engineer to lead the migration and consolidation of data warehouse implementations and design scalable data lake solutions. This position will be C ontract and Remote . What You’ll Do Analyze and understand existing data warehouse implementations to support migration and consolidation efforts Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into scalable Spark SQL code within Databricks notebooks Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards Evaluate and optimize data models (Star, Snowflake, Flattened) for performance and scalability in the new platform Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and backlog grooming Triage, debug, and fix technical issues related to Data Lakes Maintain and manage code repositories like Git What You'll Need Required: 5+ years of experience working with Databricks, including Spark SQL and Delta Lake implementations 3+ years of experience in designing and implementing data lake architectures on Databricks Strong SQL and PL/SQL skills with the ability to interpret and refactor legacy stored procedures Hands-on experience with data modeling and warehouse design principles Proficiency in at least one programming language (Python, Scala, Java) Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or related field Experience working in Agile environments and contributing to iterative development cycles Preferred: Databricks cloud certification is a big plus Exposure to enterprise data governance and metadata management practices Physical Demands Ability to safely and successfully perform the essential job functions Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc. Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor Reasonable accommodation statement If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 – 8111.