Associate Staffing
This range is provided by Associate Staffing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $130,000.00/yr - $145,000.00/yr
The Company
A prominent fortune 500 financial services firm with a nationwide network of independent financial advisors. This company offers an extensive selection of investment products and services to individuals, businesses, and institutions, with a strong emphasis on utilizing innovation and technology to cultivate client relationships.
Overview We are seeking a skilled and motivated
AWS Glue Data Engineer
to join our client’s growing Trade Technology team. In this role, you will design, develop, and maintain modern, scalable ETL pipelines that enable efficient data integration and transformation across complex trading platforms.
This position offers the opportunity to work on high-impact data initiatives that directly support trading operations and advance the organization’s overall data strategy.
Key Responsibilities
Design, develop, and maintain
ETL pipelines using AWS Glue
to process and manage trade-related data.
Collaborate with data analysts, data scientists, and operations teams to define requirements and deliver high-quality data solutions.
Integrate AWS Glue with services such as
Amazon S3, Lambda, Redshift, and RDS
to optimize data flow and accessibility.
Ensure
data quality, performance, and reliability
across all pipelines and transformations.
Monitor, troubleshoot, and optimize ETL jobs for scalability, resilience, and cost efficiency.
Document data flows, transformation logic, and architectural decisions.
Participate in Agile development cycles, contributing to sprint planning, delivery, and continuous improvement.
Support production deployments, perform maintenance, and deliver enhancements as needed.
Qualifications
Bachelor’s degree in
Computer Science, Information Systems, or a related field .
5+ years of experience
in data engineering or software development.
Hands‑on expertise with
AWS Glue
and related AWS services (S3, Lambda, Redshift, CloudWatch).
Strong proficiency in
Python
and
SQL
for scripting and data manipulation.
Experience with
version control systems (e.g., Git)
and CI/CD processes.
Familiarity with financial data, trading systems, or other complex transactional environments is a plus.
Excellent communication skills and ability to collaborate effectively in a cross‑functional, Agile environment.
Preferred Skills
AWS Certifications
(e.g., AWS Certified Data Analytics – Specialty).
Experience with
Apache Kafka ,
Amazon EKS , or other streaming technologies.
Knowledge of
data modeling
and
systems‑of‑record (SOR)
design principles.
Exposure to
Agile/Scrum
and
DevOps
best practices.
Equal Opportunity Employer Associate Staffing is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. We are committed to creating a diverse and inclusive work environment and welcome applicants from all backgrounds to apply for open positions with our company.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Staffing and Recruiting
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Base Pay Range $130,000.00/yr - $145,000.00/yr
The Company
A prominent fortune 500 financial services firm with a nationwide network of independent financial advisors. This company offers an extensive selection of investment products and services to individuals, businesses, and institutions, with a strong emphasis on utilizing innovation and technology to cultivate client relationships.
Overview We are seeking a skilled and motivated
AWS Glue Data Engineer
to join our client’s growing Trade Technology team. In this role, you will design, develop, and maintain modern, scalable ETL pipelines that enable efficient data integration and transformation across complex trading platforms.
This position offers the opportunity to work on high-impact data initiatives that directly support trading operations and advance the organization’s overall data strategy.
Key Responsibilities
Design, develop, and maintain
ETL pipelines using AWS Glue
to process and manage trade-related data.
Collaborate with data analysts, data scientists, and operations teams to define requirements and deliver high-quality data solutions.
Integrate AWS Glue with services such as
Amazon S3, Lambda, Redshift, and RDS
to optimize data flow and accessibility.
Ensure
data quality, performance, and reliability
across all pipelines and transformations.
Monitor, troubleshoot, and optimize ETL jobs for scalability, resilience, and cost efficiency.
Document data flows, transformation logic, and architectural decisions.
Participate in Agile development cycles, contributing to sprint planning, delivery, and continuous improvement.
Support production deployments, perform maintenance, and deliver enhancements as needed.
Qualifications
Bachelor’s degree in
Computer Science, Information Systems, or a related field .
5+ years of experience
in data engineering or software development.
Hands‑on expertise with
AWS Glue
and related AWS services (S3, Lambda, Redshift, CloudWatch).
Strong proficiency in
Python
and
SQL
for scripting and data manipulation.
Experience with
version control systems (e.g., Git)
and CI/CD processes.
Familiarity with financial data, trading systems, or other complex transactional environments is a plus.
Excellent communication skills and ability to collaborate effectively in a cross‑functional, Agile environment.
Preferred Skills
AWS Certifications
(e.g., AWS Certified Data Analytics – Specialty).
Experience with
Apache Kafka ,
Amazon EKS , or other streaming technologies.
Knowledge of
data modeling
and
systems‑of‑record (SOR)
design principles.
Exposure to
Agile/Scrum
and
DevOps
best practices.
Equal Opportunity Employer Associate Staffing is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. We are committed to creating a diverse and inclusive work environment and welcome applicants from all backgrounds to apply for open positions with our company.
Seniority level Mid‑Senior level
Employment type Full‑time
Job function Information Technology
Industries Staffing and Recruiting
#J-18808-Ljbffr