Red Hat – Core Business Platforms | Data Platform & Data Products
Red Hat Core Business Platforms is seeking a Data Reliability Engineer (DRE) to help build and operate a reliable, AI-ready data platform that powers both business operations and advanced AI initiatives.
This role is focused on ensuring that data is trustworthy, observable, and resilient by design. You will work across data pipelines, data products, and AI systems to embed reliability as a first-class concern, enabling both human users and AI agents to confidently consume and act on data.
Define and operate data SLIs/SLOs (freshness, completeness, accuracy, availability).
Build automated data quality, anomaly detection, and observability frameworks.
Implement proactive alerting, incident response, and root cause analysis for data issues.
Continuously improve system reliability through post-incident reviews and systemic fixes.
Develop and maintain high-quality, production-grade data products (code + data).
Transition pipelines toward efficient, scalable ELT architectures, including real-time capabilities.
Enforce separation of source-aligned vs. aggregate data products to support domain ownership and governance.
Ensure data products are composable, joinable, and reusable across the organization.
Build data products optimized for ML models and AI agents, including:
Feature consistency and reuse
Data versioning and lineage
Reproducibility for model training and inference
Enable agentic workflows (ADLC) by:
Defining data contracts and logic in machine-readable specs (MD/DSL)
Ensuring data products are self-describing and agent-consumable
Partner with data scientists to productionize models and AI agents with strong reliability guarantees.
Deploy and operate data and AI services on MCP (Microservices, Containers, Platforms) using Kubernetes.
Ensure systems meet high availability, scalability, and low-latency requirements.
Classify and tag data assets to enforce responsible usage and compliance.
Apply masking, access controls, and RLS at the data product layer.
Maintain rich metadata and catalog entries to support discoverability and reuse.
Contribute to a high-velocity InnerSource model for data product development.
Promote best practices in reliability engineering across teams.
Drive adoption through well-documented, discoverable, and trusted data products.
2+ years of experience in Data Engineering, Software Engineering, SRE, or DRE.
Ability to work ON-SITE in Lowell, Massachusetts
Strong SQL skills and proficiency in Python, Java, or Scala.
Experience with modern data platforms (Snowflake, Databricks, BigQuery, S3/MinIO).
Solid understanding of:
Data modeling (dimensional, data vault, domain-driven design)
Batch and streaming architectures
Hands-on experience with:
Data quality and observability frameworks
SLIs/SLOs and production operations
Experience with CI/CD, testing, and version control.
Familiarity with Docker, Kubernetes, and cloud-native systems.
Strong communication skills and ability to drive a culture of reliability and ownership.
Experience with AI/ML systems in production (feature stores, model reliability).
Familiarity with agentic frameworks or AI agents (e.g., LangChain, MCP integrations).
Experience with streaming technologies (Kafka, Spark Streaming).
Experience with data governance platforms (catalogs, lineage).
Background in SRE/DRE/AIRE operating models.
Master’s degree in Computer Science, Engineering, or related field.
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.
Benefits
● Comprehensive medical, dental, and vision coverage
● Flexible Spending Account - healthcare and dependent care
● Health Savings Account - high deductible medical plan
● Retirement 401(k) with employer match
● Paid time off and holidays
● Paid parental leave plans for all new parents
● Leave benefits including disability, paid family medical leave, and paid military leave
● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!
Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States.
Inclusion at Red Hat
Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village.
Equal Opportunity Policy (EEO)
Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.