Senior Data Engineer (Databricks & Cloud Analytics)

Senior Data Engineer (Databricks & Cloud Analytics) Category: Software Development/ Engineering Main location: United States, Utah, Salt Lake City Position ID: J0726-1556 Employment Type: Full Time U.S. – Technology as a force for good ( By playing this video you consent to Google/YouTube processing your data and using cookies –Learn more (xweb.asp?clid=21001&page=cookiespolicy#integrationofyoutube) . 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? 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 DevOps 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 complex technical challenges while delivering modern cloud-based data solutions. Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical discipline (or equivalent professional experience) 6 years** of experience designing, developing, and supporting enterprise data platforms, cloud analytics solutions, or large-scale data engineering initiatives Strong hands-on experience with: Databricks Apache Spark (PySpark) Python SQL Scala Experience working with the Databricks ecosystem, including: Databricks Workspaces Delta Lake Unity Catalog Delta Live Tables (DLT) Databricks SQL MLflow Databricks Jobs Strong SQL development experience, including query optimization and performance tuning Experience designing and implementing ETL/ELT solutions using Azure Data Factory or comparable cloud integration platforms Experience with Apache Kafka or other event streaming technologies Experience integrating enterprise applications using REST APIs, JSON, XML, and SOAP web services Experience with Azure Data Lake Storage (ADLS Gen2) or comparable cloud storage platforms Experience using Git for source code management and collaborative software development Experience working within Linux environments, including shell scripting and command-line utilities Familiarity with Infrastructure as Code (IaC) tools such as Terraform is preferred Experience implementing CI/CD pipelines using Azure DevOps, GitHub Actions, or similar DevOps platforms is preferred Strong analytical, troubleshooting, and problem-solving skills Experience working in Agile environments utilizing Scrum, Kanban, or SAFe methodologies Demonstrated ability to manage multiple priorities while delivering high-quality solutions Proven ability to work independently while mentoring teammates and contributing to technical leadership Desired Skills: The ideal candidate will also possess experience with one or more of the following: Microsoft Azure cloud services Azure Synapse Analytics Microsoft Fabric Power BI Data governance and metadata management DataOps and MLOps practices Enterprise data warehousing Master Data Management (MDM) Financial services or public sector data environments Communication & Collaboration Successful candidates will demonstrate the ability to: Clearly communicate complex technical concepts to both technical and non-technical audiences. Collaborate effectively with architects, developers, business analysts, product owners, and client stakeholders. Build trusted relationships across cross-functional teams while delivering innovative, high-quality solutions. Foster a culture of knowledge sharing, continuous learning, and engineering excellence. 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 $79,600.00 $139,300.00. 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

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Skills: Apache Kafka Databricks GIT Linux Python SOAP SQL 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 View email address on click.appcast.io . 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! Clickhere ( 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. #J-18808-Ljbffr CGI Technologies and Solutions, Inc.