Data Engineer (Streaming / Capital Markets)

Computer Task Group, Inc•Atlanta, GA

About The Position

CTG is seeking a highly experienced Data Engineer with deep expertise in streaming data platforms and capital markets to support a high-impact initiative involving real-time data processing and legacy system modernization. Location: Atlanta, GA Duration: 8 months Key Responsibilities: Build and optimize real-time and batch data pipelines using Python Develop streaming solutions leveraging Kafka/MQ technologies Design and maintain scalable ETL workflows for large datasets Integrate and manage data solutions in AWS/cloud environments Support CI/CD pipelines for automated deployment and monitoring Partner with business and technical teams on capital markets data use cases Assist in migration and decommissioning of legacy systems (including Ab Initio) Required Skills: 10+ years of experience in Python and data engineering Strong expertise in ETL development and large-scale data processing Hands-on experience with Java, Kafka/MQ streaming technologies Experience with AWS or cloud-based data platforms Solid understanding of CI/CD and DevOps practices Preferred Qualifications: Experience with Ab Initio (legacy systems) Knowledge of capital markets, especially derivatives Familiarity with risk engines or pricing models Exposure to Palantir Education: Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience) Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required. CTG does not accept unsolicited resumes from headhunters, recruitment agencies, or fee based recruitment services for this role. To Apply: To be considered, please apply directly to this requisition using the link provided. For additional information, please contact Nicole Shaw at [email protected]. Kindly forward this to any other interested parties. Thank you! About CTG CTG, a Cegeka company, delivers IT and business solutions that enhance clients’ digital agility, empowering them to seize new opportunities and overcome any challenge. Backed by more than 60 years’ experience and a commitment to being a reliable, results-driven partner, we work shoulder to shoulder with clients to shape digital together. Our vision is to be an indispensable partner to our clients and the preferred career destination for digital and technology experts. With more than 9,000 team members in over 15 countries, we combine global expertise with local insight to deliver innovative solutions. We operate across the Americas, Europe, and India, working with over 3,000 clients in many of today's highest-growth industries. Together, we shape what’s next—working shoulder to shoulder to deliver impactful solutions for our clients and society. Our culture is built by the people who work at CTG, the values we hold, and the actions we take. It's a living, breathing thing that is renewed every day through the ways we engage with each other, our clients, and our communities. At CTG, you’ll find a workplace where you are encouraged to grow, supported in your ambitions, and empowered to shape your own career journey. For more information, visit www.ctg.com. CTG will consider for employment all qualified applicants including those with criminal histories in a manner consistent with the requirements of all applicable local, state, and federal laws. CTG is an Equal Opportunity Employer. CTG will assure equal opportunity and consideration to all applicants and employees in recruitment, selection, placement, training, benefits, compensation, promotion, transfer, and release of individuals without regard to race, creed, religion, color, national origin, sex, sexual orientation, gender identity and gender expression, age, disability, marital or veteran status, citizenship status, or any other discriminatory factors as required by law. CTG is fully committed to promoting employment opportunities for members of protected classes.

Requirements

10+ years of experience in Python and data engineering
Strong expertise in ETL development and large-scale data processing
Hands-on experience with Java, Kafka/MQ streaming technologies
Experience with AWS or cloud-based data platforms
Solid understanding of CI/CD and DevOps practices
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.