Software Engineer III

RESPONSIBILITIES:
Kforce has a client that is seeking a Software Engineer III in Greenwood Village, CO.

Responsibilities:
* Learn and understand existing AWS infrastructure and data pipelines
* Build and maintain Spark-based ETL/ELT pipelines using Python and SQL
* Optimize existing data processing workflows for performance and cost
* Harden existing infrastructure and improve operational stability
* Refactor and optimize current processes for better maintainability

REQUIREMENTS:
* 5+ years in software engineering, data engineering, or related technical role
* 3+ years of hands-on Python development (required)
* 3+ years of advanced SQL experience (required)
* 2+ years of working with AWS services (highly recommended)
* 2+ years with Apache Spark and ETL pipelines (required)
* Proven ability to learn and adapt to existing systems quickly
* Previous work with infrastructure optimization and technical debt reduction
* Experience working in collaborative, cross-functional teams

Core Technical Competencies (Required):
Python (Critical):
* Strong proficiency in Python for data engineering and automation
* Experience with data processing libraries (pandas, PySpark, NumPy)
* Script development for ETL/ELT workflows
* Object-oriented programming and code optimization
* Error handling and logging best practices

SQL (Critical):
* Advanced SQL skills for data transformation and analysis
* Experience with SQL databases
* Complex query development and optimization
* Performance tuning and execution plan analysis
* Stored procedures, functions, and database scripting
* Understanding of indexing and database design

AWS Services (Highly Recommended):
Hands-on experience with core AWS services:
* S3 (data storage and lifecycle management)
* RDS (relational database management)
* Lambda (serverless computing)
* EC2 (compute instances)
* Glue (ETL service)

Athena (query service):
* AWS IAM for security and access management
* CloudWatch for monitoring and logging
* Understanding of AWS cost optimization strategies

Data Engineering (Required):
* Strong ETL/ELT pipeline development and maintenance
* Apache Spark and distributed data processing (PySpark)
* Experience with medallion architecture or similar data patterns
* Data lake and warehouse concepts
* Understanding of data governance, quality, and security
* Ability to learn and work within existing data architectures

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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