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Senior Data Engineer with DevOpsCGI Technologies and Solutions, Inc. • Dallas, Texas, United States
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Senior Data Engineer with DevOps

CGI Technologies and Solutions, Inc.
  • US
    Dallas, Texas, United States
  • US
    Dallas, Texas, United States
Jetzt Bewerben

Über

Senior Data Engineer with DevOps Category:
Architecture
Main location:
United States, Texas, Dallas
Alternate Location(s):
United States, Ohio, Cleveland; United States, Pennsylvania, Pittsburgh
Position ID:
J0626-2289
Employment Type:
Full Time
We are seeking a Data Engineer with 5 years of experience to design and maintain scalable data pipelines supporting analytics, reporting, and operational needs. The role involves collaborating with cross‑functional teams to ensure data alignment with business requirements and enterprise standards.
This role will require onsite presence at the client site 5 days a week in either Pittsburgh, PA, Cleveland, OH, or Dallas, TX.
Employer sponsorship of immigration related visa and/or green card status as part of the PERM process will not be available.
Duties and Responsibilities
Design and build scalable data pipelines aligned with business needs
Process large datasets (batch and sometimes near real‑time)
Ensure data quality, consistency, and governance standards across systems
Support data integration and transformation efforts for analytics and reporting platforms
Maintain data dictionaries, metadata, and documentation
Participate in data architecture reviews and model validation processes
Support analytics reporting and risk platforms
Requirements
5+ years of experience in data engineering and big data processing
Strong expertise in Apache Spark (Spark Core, Spark SQL) and PySpark for large‑scale batch processing
Experience working with structured and semi‑structured data, including complex transformations and performance tuning
Proficiency in data ingestion and integration from sources such as Oracle, SQL Server, Hive, HDFS, and S3; transform data into curated data models
Experience writing data to Hive tables, Data Lakes (Iceberg), and downstream reporting systems
Strong knowledge of SQL and data modeling concepts
Hands‑on experience with Apache Airflow for workflow orchestration (DAG design, scheduling, monitoring)
Proficiency in shell scripting for job automation, file validation, dependency handling, and logging
Strong understanding of batch processing and batch job scheduling frameworks
Experience migrating from CA7/Control M Airflow and CI/CD for data pipelines
Fundamentals in Linux and networking
Experience with Docker, OpenShift containerization/Kubernetes
Knowledge of CI/CD pipeline tools such as Jenkins, GitHub Actions, Azure DevOps, GitLab CI, Maven, and Gradle
Automate operational tasks using Python, Bash/Shell, and PowerShell
Implement monitoring and alerting, Application Insights, centralized logging with ELK stack
Experience ensuring data quality, reliability, and compliance in regulated environments
Good communication and documentation skills
Compensation CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role: $79,600.00 – $139,300.00.
Benefits
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
Airflow
Containerization
DevOps
Elastic Stack & Elasticsearch
GitHub
Hadoop Hive
Jenkins
JSON Web Token (JWT)
Kubernetes
OpenShift
Oracle
Python
Shell Script
SQLite
Equal Opportunity Employer Qualified applicants will receive consideration for employment without regard to 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, 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. 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.
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 U.S. 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 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.
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  • Dallas, Texas, United States

Sprachkenntnisse

  • English
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