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Data Engineer and Modeler
Category: Software Development/ Engineering
Main location: United States, North Carolina, Durham
Position ID:J0726-0092
Employment Type: Full Time
Position Description:
We are seeking an experienced Data Engineer and Modeler with deep expertise in designing relational data models, building scalable ETL/ELT pipelines, and processing large datasets across modern cloud environments. This role is ideal for engineers who excel at transforming complex data into reliable, high quality structures that power enterprise applications, analytics, and reporting. You will work closely with engineering, analytics, and product teams to deliver robust, cloud native data solutions on AWS.
This is a Full-Time, On-Site employment opportunity based in Durham, NC.
Your future duties and responsibilities:
. Design, develop, and optimize data pipelines to process large volumes of structured and unstructured data.
. Build and maintain relational data models (RDBMS) for transactional systems, operational data stores, and reporting environments.
. Work extensively with Oracle, Postgres (Aurora RDS), and Snowflake databases.
. Perform large scale data analysis, transformation, and automation using Python, including handling massive datasets.
. Develop and maintain Java based APIs and microservices for data access, ingestion, and integration.
. Implement CI/CD workflows using Jenkins, UDeploy, and container technologies such as Docker and Kubernetes.
. Design and support ETL/ELT processes, ensuring data quality, reliability, and performance across pipelines.
. Lead and execute data migration initiatives, including schema mapping, validation, reconciliation, and cutover planning.
. Build cloud native data solutions using AWS services such as RDS, S3, Lambda, Glue, and more.
. Collaborate with cross functional teams to understand data requirements and deliver scalable, high performing solutions.
. Maintain strong documentation, data governance practices, and adherence to engineering best standards.
Required qualifications to be successful in this role:
. 6 9 years of software development experience, with a strong focus on data engineering.
. Extensive experience handling and processing large volumes of data.
. Strong proficiency in RDBMS data modeling for operational and reporting systems.
. Hands on experience with Oracle, Postgres (Aurora RDS), and Snowflake.
. Proficiency in Python for large scale data analysis, transformation, and automation.
. Strong experience with Java, including building APIs and microservices.
. CI/CD and containerization experience with Jenkins, UDeploy, Docker, and Kubernetes.
. Solid understanding of ETL/ELT tools and processes.
. Experience with data migrations, including mapping, validation, and reconciliation.
. Hands on experience with AWS cloud computing and cloud native development.
. Strong communication, organizational skills, and attention to detail.
Preferred Qualifications
. Experience with distributed data processing frameworks (e.g., Spark, Flink).
. Familiarity with data warehousing concepts and dimensional modeling.
. Experience with event driven architectures or streaming data pipelines.
. Ability to collaborate effectively with analytics, BI, and product teams.
. Strong problem solving skills and ability to work in fast paced environments.
Education: Bachelor's degree in Computer Science or related field.
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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 $77,800.00 $172,400.00.
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
Skills:

• Amazon Relational Database Svc
• Data Analysis
• Data Migration
• Data Modeling
• Data Pipelines
• ETL
• Oracle DBMS
• Python

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_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.