Senior AWS Python Developer

System One, Inc.

Knoxville (TN)

Hybrid

USD 140,000 - 190,000

Full time

6 days ago
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Job summary

System One, Inc. seeks a Senior Data Engineer to modernize vulnerability management data pipelines in a hybrid role based in Knoxville, TN.

You will leverage PySpark, Python, and AWS to build scalable data processing solutions that collect, contextualize, and prioritize data for enterprise use. The ideal candidate has 10+ years in data engineering, strong Spark/PySpark expertise, and deep AWS experience across EMR, Redshift, S3, and Glue.

Qualifications

  • 10+ years of experience building and optimizing large-scale data pipelines.
  • Strong PySpark, Python, and AWS data processing expertise.
  • Experience with big data tech (Hadoop/EMR, Spark, Hive).
  • Advanced SQL with complex queries and transformations.
  • Experience with REST APIs and external data integrations.
  • Experience with CI/CD and infrastructure automation (GitLab, Terraform).
  • Bachelor's degree in CS, IS, or related field.

Responsibilities

  • Develop scalable Python applications and data processing solutions.
  • Integrate APIs and external data sources.
  • Write and optimize complex SQL queries.
  • Process large datasets using Spark and AWS services.
  • Troubleshoot performance in applications and data pipelines.
  • Contribute to CI/CD automation and deployment pipelines.
  • Collaborate with technical and business teams across the organization.

Skills

Python
PySpark
Spark
AWS
SQL
REST APIs
CI/CD
Terraform
GitLab
Hadoop/EMR
Hive
Data pipelines
Big data

Education

Bachelor's degree in Computer Science/Information Systems or related field

Tools

EMR
Lambda
EventBridge
Step Functions
Redshift
S3
Glue

Job description

Job Title: Senior AWS Python Developer

Location: Knoxville, TN

Type: Direct Hire

Work Model: Hybrid

Overview

We are seeking a highly experienced Senior Data Engineer to support a major initiative focused on modernizing and streamlining the organization's vulnerability management platform. This role will play a key part in transforming how vulnerability data is collected, processed, contextualized, prioritized, and consumed across the enterprise by leveraging modern cloud-based data engineering solutions.

The ideal candidate will have 10+ years of experience building and optimizing large-scale data pipelines, with deep expertise in PySpark, Python, and AWS-based data processing technologies. This is primarily a data engineering role, not an application development position.

Responsibilities
  • Developing scalable Python applications and data processing solutions
  • Integrating APIs
  • Writing and optimizing complex SQL queries
  • Processing large datasets using Spark and AWS services
  • Troubleshooting application and data processing performance
  • Contributing to CI/CD automation
  • Working closely with technical and business teams across the organization
Requirements
  • 8+ years of hands on Python development, including development of data intensive and big data applications.
  • Strong Python programming fundamentals and experience developing scalable, production grade applications.
  • 5+ years of experience working with Apache Spark/PySpark, including troubleshooting and optimizing Spark jobs.
  • 5+ years of hands on development experience with AWS, including EMR, Lambda, EventBridge, Step Functions, Redshift, S3, and Glue.
  • Advanced SQL skills, including complex queries, data transformations, joins, and recursive CTEs.
  • Experience developing and consuming REST APIs and integrating applications with external services and data sources.
  • Strong background working with large datasets, including data manipulation, transformation, analysis, and processing.
  • Experience with big data technologies such as Hadoop/EMR, Spark, and Hive.
  • 4+ years of experience working with AI related technologies or applications.
  • Hands on CI/CD and infrastructure automation experience using GitLab and Terraform.
  • Strong debugging, performance tuning, analytical, and problem solving skills.
  • Ability to collaborate effectively across development teams and a matrixed organization.
  • Bachelor's degree in Computer Science, Information Systems, or a related field.?

System One, and its subsidiaries including Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

#LI-

Ref: #404-IT Pittsburgh

System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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