Design, build, and manage scalable data pipelines and enterprise integration workflows using tools like Kafka and Python-based frameworks. Build highly efficient and scalable ETL/ELT processes that support both incremental and full data loads, using frameworks like DBT and orchestrated through Apache Airflow.
*Telecommuting permitted: work may be performed within normal commuting distance from the Red Hat, Inc. office in Boston, MA.
What You Will Do:
- Develop and maintain Python-based applications for data processing and transformation using libraries such as Pandas and NumPy.
- Architect and deploy cloud-native data solutions on public cloud platforms, ensuring scalability, security, and performance.
- Build and manage containerized applications using Red Hat OpenShift, enabling reliable deployment and orchestration across environments.
- Write and optimize complex SQL queries (CRUD and analytics) for structured and unstructured data across various databases.
- Integrate machine learning models and advanced analytics into production-grade data pipelines.
- Implement and maintain CI/CD pipelines based on GitOps methodology, with a focus on automation, testing, and streamlined deployment cycles.
- Troubleshoot complex system and data issues, minimizing downtime and ensuring data quality and reliability.
- Follow Agile methodologies and DevOps practices, actively contribute to sprint planning, retrospectives, and delivery cycles.
- Mentor junior engineers, conduct code reviews, and promote knowledge sharing across the team.
What You Will Bring:
- Bachelor's degree (U.S. or foreign equivalent) in Computer Science, Information Systems or related field and five (5) years of experience in the job offered or related role OR Master's degree (U.S. or foreign equivalent) in Computer Science, Information Systems or related field and three (3) years of experience in the job offered or related role.
- Must have three (3) years of experience with: designing, building, and maintaining enterprise-scale data processing pipelines and integration workflows using distributed orchestration frameworks and advanced data processing tools; leveraging advanced SQL functions, such as window functions, recursive queries, and in-database analytics to perform complex analytical operations on large-scale datasets; and developing extensible Python frameworks focused on microservices architecture, data APIs, and modular design patterns to deliver scalable, reusable, and maintainable enterprise solutions.
- Must have one (1) year of experience with: implementing advanced CI/CD workflows using GitOps methodologies, and incorporating automated testing, artifact management, and multi-environment deployment strategies on Red Hat OpenShift; and deploying and administering containerized applications on Red Hat OpenShift, ensuring production-grade configurations for security, autoscaling, secrets and configuration management, and integration with external systems.
#LI-DNI
The salary range for this position is $178,131 - $220,680. Actual offer will be based on your qualifications.
Pay Transparency
Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience.
About Red Hat
Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact.
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