Senior Data Engineer

Position Description: Join a collaborative, technically driven team as a Senior Databricks Data Engineer, where you will have the opportunity to take ownership of designing and delivering scalable, enterprise grade data integration solutions. This role offers a unique opportunity for an an experienced, hands on engineer to make a meaningful impact by driving end to end development of modern data pipelines using Databricks and Apache Spark. You will have the autonomy to influence technical decisions, solve complex engineering challenges, and contribute directly to the success of enterprise data initiatives. You will work alongside experienced architects, engineers, and business stakeholders in an environment that values technical expertise, collaboration, innovation, and individual accountability. With flexibility across cloud technologies (AWS, Azure, or GCP), this position provides an excellent opportunity to leverage your existing expertise while expanding your technical capabilities and contributing to impactful data engineering solutions. This position is located in Guaynabo, Puerto Rico in a hybrid working environment.

Your future duties and responsibilities:

Data Engineering and Pipeline Development

• Design, develop, maintain, and enhance production grade ETL/ELT pipelines using Databricks, Apache Spark, Python/PySpark, and SQL.
• Develop scalable batch and incremental data integration pipelines across files, databases, and enterprise data sources.
• Build reusable, maintainable, and high performing data processing solutions that support business and operational requirements.
• Optimize Spark workloads to improve performance, scalability, reliability, and cost efficiency.
• Implement data quality, reconciliation, monitoring, validation, and error handling processes to ensure reliable data pipelines.

Solution Design and End to End Ownership

• Manage the complete data engineering lifecycle, including requirements analysis, solution design, development, testing, deployment, and production readiness.
• Prepare technical solution designs and participate in architecture and design reviews.
• Implement approved technical solutions in accordance with established architecture, engineering, security, and development standards.
• Analyze complex technical issues, identify root causes, and develop effective and sustainable solutions.
• Take ownership of assigned technical deliverables, ensuring solution quality, timely completion, and adherence to project commitments.

SQL, Data Modeling, and Analytics

• Develop and maintain complex SQL queries and data transformations, including data cleansing, enrichment, aggregation, and validation.
• Design and maintain curated datasets, data models, and reporting ready data structures to support analytical and operational needs.
• Collaborate with stakeholders to understand downstream data consumption, reporting, and analytics requirements.
• Ensure data structures and processing solutions support accuracy, consistency, scalability, and efficient downstream consumption.

Engineering Operations and Collaboration

• Develop and manage data pipeline orchestration using Databricks Workflows, Apache Airflow, or comparable technologies.
• Apply CI/CD, version control, automated testing, and deployment practices in accordance with established engineering standards.
• Monitor, troubleshoot, and resolve data pipeline failures, performance issues, data quality problems, and production incidents.
• Collaborate with architects, engineers, integration teams, business stakeholders, and other technical resources to design and implement effective data solutions.
• Document technical designs, implementation decisions, data processing methodologies, operational procedures, and support requirements.
• Identify opportunities to improve, standardize, and automate data engineering processes and solutions.
• Support production deployments, operational readiness activities, and ongoing maintenance and enhancement of data solutions.

Required qualifications to be successful in this role:

• Experience implementing Databricks solutions in cloud environments such as AWS, Azure, or GCP, with no preference for a specific cloud provider.
• Experience with Delta Lake, Databricks Unity Catalog, and modern lakehouse architecture.
• Familiarity with dimensional data modeling, enterprise data warehousing, and analytical data architectures.
• Experience implementing automated testing, data quality controls, data observability, and advanced pipeline monitoring solutions.
• Familiarity with infrastructure as code tools and cloud native deployment practices.
• Experience contributing to enterprise scale data modernization, integration, or transformation initiatives.
• Experience with Spark performance tuning, workload optimization, and cloud cost optimization.
• Experience developing batch and incremental data processing solutions.
• Experience with data reconciliation, monitoring, observability, and production data quality management.
• Familiarity with fact and dimension modeling, curated data layers, and reporting ready data structures.
• Experience troubleshooting production data pipelines and supporting operational reliability.
• Experience preparing technical documentation and participating in technical design and architecture reviews.
• Strong analytical and problem solving skills, with the ability to work independently and manage assigned technical deliverables.
• Strong cross functional communication and collaboration skills, including experience working with technical and business stakeholders.
• Experience working in Agile delivery environments and participating effectively in iterative development and delivery processes.

Minimum Education Required:

• Bachelor’s Degree

OPTIONAL: Desired qualifications/non-essential skills required

• Performance Optimization: Additional experience with advanced Apache Spark performance tuning, workload optimization, and cloud cost management.
• Data Architecture and Modeling: Familiarity with enterprise data warehousing, dimensional modeling (fact and dimension tables), and curated data layers.
• Data Quality and Observability: Exposure to advanced data quality frameworks, automated reconciliation, pipeline monitoring, and observability tools.
• Operational Excellence: Experience improving production pipeline reliability, troubleshooting complex performance issues, and implementing proactive monitoring solutions.
• Technical Design and Documentation: Experience contributing to architecture discussions, technical design reviews, and the development of engineering standards and documentation.
• Cross Functional Collaboration: Strong interpersonal and communication skills, with experience working across technical and business teams to deliver effective data solutions.
• Agile Delivery: Familiarity with Agile methodologies, iterative development practices, and collaborative engineering environments.
• Continuous Improvement: Proactive approach to identifying opportunities for automation, process optimization, and engineering efficiency.
• Knowledge Sharing: Willingness to mentor colleagues, share technical expertise, and contribute to a collaborative, team-oriented engineering culture.

CGI anticipates accepting applications for this position through November 27, 2026. Other Information: CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $81,600.00 $160,700.00. CGI's benefits are offered to eligible professionals on their first day of employment to include:

• Competitive compensation
• Comprehensive insurance options
• Individual Retirement Account (IRA) Bonus: CGI offers an annual IRA Bonus equal to the maximum annual matching contribution available under the continental U.S.’s 401(k) Plan
• CGI share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
• Learning opportunities and tuition assistance
• Wellness and Well-being programs

Skills:

• Airflow
• Amazon CloudFront
• Azure
• Databricks

What you can expect from us:

Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world. Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business. CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at [US Employment Ver el correo electrónico en joinrs.com](#). You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned. We make it easy to translate military experience and skills! Click [here](#) to be directed to our site that is dedicated to veterans and transitioning service members. All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances. CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI’s legal duty to furnish information.