Senior Databricks Data Engineer
Position Description
CGI is seeking an experienced, hands on Senior Databricks Data Engineer to design, develop and implement scalable enterprise data integration solutions.
The ideal candidate will have strong Databricks and Apache Spark expertise, with demonstrated experience building production grade ETL/ELT pipelines. This individual must be capable of independently owning the entire engineering lifecycle, from solution design and technical review through development, testing, deployment and implementation.
We are looking for a proactive engineer who takes ownership of deliverables, works independently, solves technical problems and collaborates effectively with architects, engineers and business stakeholders.
Databricks expertise and hands on pipeline development are the highest technical priorities. Experience with AWS, Azure or GCP is acceptable, with no preference for a specific cloud provider.
*This position is located in Miami, FL in a hybrid working environment.
Your future duties and responsibilities
Data Engineering and Pipeline Development
. Design, develop and maintain scalable ETL/ELT pipelines using Databricks, Apache Spark, Python/PySpark and SQL.
. Build batch and incremental data integration pipelines from files, databases and enterprise data sources.
. Develop reusable and maintainable data processing solutions.
. Optimize Spark workloads for performance, scalability, reliability and cost efficiency.
. Implement data quality controls, reconciliation, monitoring and error handling.
Solution Design and End to End Ownership
. Own the complete engineering lifecycle, from requirements analysis and solution design through technical review, implementation and deployment.
. Prepare and present technical solution designs for architecture and engineering review.
. Incorporate review feedback and implement approved designs.
. Make appropriate technical decisions and proactively resolve engineering challenges.
. Take accountability for deliverables, quality, timelines and production readiness.
SQL, Data Modeling and Analytics
. Develop complex SQL transformations for cleansing, enrichment and aggregation.
. Design and maintain curated datasets, dimensional models and reporting views.
. Support enterprise analytics, reporting and downstream data consumers.
Engineering Operations and Collaboration
. Implement and maintain pipeline orchestration using Airflow, Databricks Workflows or comparable tools.
. Apply CI/CD practices for version control, automated deployment and release management.
. Troubleshoot pipeline failures and production performance issues.
. Collaborate with data architects, integration teams, engineering teams and business stakeholders.
. Document technical designs, implementation decisions and operational procedures.
Required qualifications to be successful in this role
. Minimum of 5 years of relevant experience in data engineering, data integration, or related disciplines.
. Strong, recent hands-on development experience with Databricks.
. Proven experience designing, building, and implementing production ETL/ELT pipelines.
. Advanced proficiency in Apache Spark, PySpark, and Python with demonstrated hands-on engineering experience.
. Strong SQL skills, including complex joins, window functions, data transformations, and query performance tuning.
. Experience with at least one major cloud platform, including AWS, Azure, or Google Cloud Platform (GCP).
. Experience with workflow orchestration tools such as Apache Airflow, Databricks Workflows, or equivalent platforms.
. Experience with CI/CD practices, source control, and automated deployment of data pipelines.
. Demonstrated ability to independently own the full development lifecycle, including solution design, technical review, implementation, and production support.
. Proven ability to evaluate requirements, make sound technical design decisions, and implement approved solutions.
. Strong problem-solving skills with a track record of independent execution, accountability, and ownership in fast-paced environments.
Nice to haves:
. Calling external APIs from Databricks notebooks, including REST API integration, authentication, request handling and ingestion of API responses.
. Streaming and event driven data processing.
. Delta Lake and medallion architecture.
. Unity Catalog, governance and lineage.
. Metadata driven and reusable pipeline frameworks.
. Enterprise scale Databricks implementations.
. Experience with complex enterprise data integration environments.
. API clarification: API experience means consuming or calling APIs from Databricks notebooks. Building or exposing APIs is not required, and candidates without API experience remain fully eligible.
. Communication: Strong analytical skills, independent execution, technical documentation, collaboration across teams and experience working in Agile delivery environments.
. Spark performance tuning and cost optimization.
. Batch and incremental data processing.
. Data quality, reconciliation, monitoring and observability.
. Data warehousing, fact/dimension modeling and curated data layers.
. Production troubleshooting and operational reliability.
. Technical documentation and design review participation.
. Cross functional communication and Agile delivery
Education: Bachelor's or Master's degree in Computer Science, Engineering or a related field.
CGI anticipates accepting applications for this position through November 13, 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 $91,800.00 - $203,800.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the 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
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_Compliance@cgi.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.
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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.