Senior Data Engineer; Databricks & Cloud Analytics

Position: Senior Data Engineer (Databricks & Cloud Analytics)
Position

Description:

Are you passionate about building modern data platforms that enable organizations to make smarter, faster decisions? Do you thrive on solving complex engineering challenges using cloud technologies, big data frameworks, and modern analytics platforms?

CGI is seeking an experienced
** Senior Data Engineer (Databricks & Cloud Analytics)
** to join our growing team in
** Salt Lake City, UT**. In this role, you will partner with solution architects, business analysts, data scientists, and client stakeholders to design, develop, and support enterprise-scale data solutions that power mission-critical business initiatives for commercial and public sector clients.

As a trusted technical consultant, you'll leverage technologies including
** Databricks, Apache Spark (PySpark), Azure Data Factory, Azure Data Lake, Kafka, Python, SQL, Scala, and cloud-native services
** to build high-performance data pipelines, modern integrations, and scalable analytics platforms.

This is an excellent opportunity for an engineer who enjoys combining technical expertise with business problem-solving while working in a collaborative Agile environment focused on innovation, quality, and continuous improvement.

This position is based onsite at a client location in the
** Salt Lake City, UT
** area.

Why CGI?

Joining CGI means becoming part of one of the world's largest IT and business consulting firms, where innovation, collaboration, and professional growth are at the core of everything we do.

At CGI, you'll enjoy:
* Working on challenging enterprise and public sector projects that create meaningful impact.
* Opportunities to leverage cutting-edge cloud, analytics, AI, and big data technologies.
* A collaborative culture focused on mentorship, innovation, and continuous improvement.
* Access to ongoing professional development, technical training, and certification opportunities.
* Career growth supported by one of the world's most respected IT consulting organizations.
* A team environment where your expertise helps shape the future of digital transformation for our clients.
** Ready to build the next generation of enterprise data platforms?
** If you're passionate about designing scalable cloud data solutions, solving complex engineering challenges, and delivering innovative analytics capabilities that drive business outcomes, we encourage you to apply and join CGI's Data & Analytics team.

Your future duties and responsibilities:

How you'll make an impact

As a Senior Data Engineer, you will play a critical role in designing, implementing, and supporting secure, scalable, and high-performing enterprise data platforms.

Responsibilities include:

* Design, develop, test, deploy, and maintain enterprise data engineering solutions using modern cloud and big data technologies.
* Design and implement scalable ETL/ELT pipelines utilizing
** Databricks, Apache Spark (PySpark), Delta Lake, and Azure Data Factory**.
* Build high-performance data ingestion, transformation, and integration frameworks supporting enterprise analytics and reporting.
* Develop, optimize, and maintain complex SQL queries, stored procedures, and data transformation processes.
* Design and implement scalable data models supporting business intelligence, analytics, and AI initiatives.
* Build and integrate RESTful APIs, event-driven architectures, and legacy SOAP services to facilitate seamless enterprise data exchange.
* Develop and maintain streaming and messaging solutions using
** Apache Kafka**.
* Monitor, troubleshoot, and optimize production data pipelines while performing root cause analysis and implementing long-term solutions.
* Implement data quality, governance, security, and performance best practices across enterprise platforms.
* Manage source code using Git while following CI/CD and enterprise Dev Ops best practices.
* Collaborate with Solution Architects, Product Owners, Business Analysts, and cross-functional engineering teams to translate business requirements into technical solutions.
* Participate in Agile ceremonies including sprint planning, backlog refinement, architecture discussions, code reviews, and retrospectives.
* Create technical documentation, deployment artifacts, testing documentation, and operational runbooks.
* Mentor junior engineers and contribute to engineering standards, best practices, and continuous improvement initiatives.

Required qualifications to be successful in this role:

What you'll bring

We're looking for an experienced engineer who enjoys solving…