Slalom Flex (Project Based)- Cloudera Data Engineer

Slalom; Orlando (FL); On-site; USD 110,000 - 145,000; Full time

Job summary

Slalom is seeking an experienced Data Engineer to support a large-scale data modernization initiative, migrating enterprise data from Cloudera to Amazon Redshift. You will develop pipelines, enable cloud transformation, and empower BI.

The ideal candidate has hands-on Cloudera/Hadoop experience, AWS know-how, and strong SQL and data modeling skills. This role follows Eastern Time business hours and requires U.S. citizenship, with collaboration across analytics and reporting teams.

Qualifications

• 5+ years of experience in data engineering or related roles.
• Hands-on with Cloudera, Hadoop ecosystem, or similar big data platforms.
• Experience migrating data from on-premises to cloud data warehouses.
• Experience building and maintaining ETL/ELT pipelines.
• Strong SQL development and data modeling skills.
• Experience with AWS cloud environments.
• Experience supporting BI and reporting solutions.
• Ability to work EST business hours.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Lead migration from Cloudera/Hadoop to Amazon Redshift.
• Configure, optimize, and monitor ETL/ELT workflows.
• Collaborate with analytics teams to ensure data availability and quality.
• Support reporting and visualization using MicroStrategy and BI tools.
• Create and modify dashboards and reporting solutions.
• Implement data integration across cloud and on-premises environments.
• Troubleshoot data pipelines and performance issues.
• Participate in architecture discussions for cloud modernization.

Skills

Data Engineering

Cloudera / Hadoop

Amazon Redshift

ETL / ELT

SQL

AWS / Cloud

BI Reporting

EST Hours

Tools

MicroStrategy

Job description

About Us

Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers—and their customers—to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We’re honored to be consistently recognized as a great place to work, including being one of Fortune’s 100 Best Companies to Work For seven years running. Learn more at Slalom.com.

Overview

We are seeking an experienced Data Engineer to support a large-scale data modernization initiative involving the migration of enterprise data assets from Cloudera to Amazon Redshift. This role will play a critical part in data migration, pipeline development, cloud transformation, and business intelligence enablement.

The ideal candidate will possess strong hands-on experience with Cloudera-based environments, cloud data platforms, and data engineering best practices, along with exposure to BI and analytics solutions. This position operates on Eastern Time business hours and requires U.S. Citizenship.

Responsibilities

• Design, develop, and maintain scalable data pipelines supporting enterprise analytics initiatives.
• Lead and support migration activities from Cloudera/Hadoop environments to Amazon Redshift.
• Configure, optimize, and monitor ETL/ELT data workflows.
• Collaborate with business and analytics teams to ensure data availability, quality, and performance.
• Support reporting and visualization initiatives utilizing MicroStrategy and other BI platforms.
• Create, enhance, and modify dashboards and reporting solutions.
• Implement data integration solutions across cloud and on-premises environments.
• Troubleshoot and resolve data pipeline, performance, and integration issues.
• Participate in architecture discussions and contribute to cloud modernization efforts.

Required Qualifications

• 5+ years of experience in Data Engineering or related data platform roles.
• Strong hands-on experience with Cloudera, Hadoop ecosystem technologies, or similar big data platforms.
• Experience migrating data from legacy/on-premises platforms to cloud-based data warehouses.
• Hands-on experience with Amazon Redshift.
• Experience building and maintaining ETL/ELT pipelines.
• Strong SQL development and data modeling skills.
• Experience working within cloud environments such as AWS.
• Experience supporting business intelligence and reporting solutions.
• Ability to work EST business hours.

Key Skills

• Cloudera, Hadoop Ecosystem, Amazon Redshift, AWS, Data Migration, ETL / ELT Development, Data Pipelines, SQL, Data Modeling, MicroStrategy, Business Intelligence Dashboard Development, Data Warehousing, Cloud Data Engineering

Compensation and Benefits

Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that includemeaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses.

Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is 80-105/hr. Actual compensation will depend upon an individual’s skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.

EEO and Accommodations

Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements.

Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.