Senior Data Engineer DevOps
Listed on 2026-07-01
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IT/Tech
Data Engineering
Senior Data Engineer with Dev Ops
Category: Architecture
Main location: United States, Texas, Dallas
Alternate Location(s): United States, Ohio, Cleveland;
United States, Pennsylvania, Pittsburgh
Position : J
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
- 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, Open Shift containerization/Kubernetes
- Knowledge of CI/CD pipeline tools such as Jenkins, Git Hub Actions, Azure Dev Ops, Git Lab CI, Maven, and Gradle
- Automate operational tasks using Python, Bash/Shell, and Power Shell
- 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
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role: $79,600.00 – $.
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
- Airflow
- Containerization
- Dev Ops
- Elastic Stack & Elasticsearch
- Git Hub
- Hadoop Hive
- Jenkins
- JSON Web Token (JWT)
- Kubernetes
- Open Shift
- Oracle
- Python
- Shell Script
- SQLite
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.
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