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 Contract 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.