Senior Python Developer with Spark

Category: Project Management

Main location: United States, Virginia, Reston

Position ID:J0726-1188

Employment Type: Full Time

Position Description:

CGI is seeking a Senior Python Developer with Spark skills to design, build, and optimize large scale data processing systems in a cloud native AWS environment. This role focuses heavily on developing high performance data pipelines using Spark and Python, as well as working with complex relational datasets.

This role is located at a client site in either Reston, VA. A hybrid working model is acceptable.

Your future duties and responsibilities:

We are seeking a Senior Python Developer with Spark skills to design, build, and optimize large scale data processing systems in a cloud native AWS environment. This role focuses heavily on developing high performance data pipelines using Spark and Python, as well as working with complex relational datasets.

A key part of this role involves diagnosing and improving inefficient data workflows, particularly Spark jobs, and writing advanced SQL to support hierarchical and analytical use cases. You'll partner with cross functional teams to deliver scalable, reliable, and well architected data solutions that support critical business functions in a financial services setting.

Required qualifications to be successful in this role:

. 8+ years of hands on experience with Python for data engineering, including building and maintaining data pipelines
. Deep expertise in Apache Spark, including: Performance tuning (partitioning, caching, broadcast joins, shuffle optimization) Understanding of execution plans (DAGs, stages, tasks) Memory and resource management
. Solid experience with big data ecosystems such as Hadoop, Hive, and EMR
. Advanced proficiency in SQL, including: Writing recursive CTEs for hierarchical data (e.g., org structures, parent child relationships) Query optimization, indexing strategies, and execution plan analysis
. Strong experience with AWS services including EMR, Lambda, Step Functions, EventBridge, Redshift, S3, and Glue
. Experience building and consuming APIs, along with data transformation and ingestion workflows
. Proven ability to work with large scale datasets, performing data analysis and extracting actionable insights
. Familiarity with data modeling concepts (normalized/denormalized structures, handling hierarchical data)
. Hands on experience with CI/CD pipelines and tools such as GitLab and Terraform
. Strong understanding of performance troubleshooting, including identifying bottlenecks in distributed systems
. Ability to clearly explain technical decisions, especially around Spark optimization and SQL logic
. Strong analytical thinking, problem solving skills, and attention to detail
. Effective collaboration skills in cross functional, matrixed environments

Desired Skillset:

. Experience in financial services or regulated environments
. Exposure to data visualization tools
. Familiarity with event driven architectures on AWS

Education:
Bachelor's degree in Computer Science, Information Systems, or a related field.

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 $97,300.00 $156,700.00.
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 Web Services Cloud
• Data Engineering
• Data Engineering
• Data Modeling
• Detail-oriented
• Problem Solving
• Python
• SQL
• Terraform
• GitLab