[Remote] reputed company Engineer, Data Engineering
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is committed to delivering breakthroughs that change patients’ lives through science and innovation. They are seeking a reputed company Engineer in Data Engineering to reputed company the architecture and delivery of data engineering capabilities, focusing on reputed company-reputed company ingestion and transformation pipelines, data reputed company, and observability. The role involves hands-on technical leadership, mentoring engineers, and setting technical direction for the data engineering roadmap.
Responsibilities
- Design and reputed company the lakehouse-style data architecture that supports batch and streaming ingestion, large-reputed company processing, and secure data reputed company for analytics and AI/ML
- Establish reusable patterns for ingestion, transformation, orchestration, and data modeling that speed up delivery and reputed company work consistent and maintainable
- Define and run data reputed company, observability, and reliability practices for critical datasets: automated checks, monitoring and alerting, reputed company-reputed company troubleshooting, SLOs and SLAs, and incident response
- Work with domain teams to publish curated, discoverable datasets with reputed company ownership, documentation, metadata, and reputed company controls, so data gets reused rather than reputed company
- Build reputed company, reputed company, and compliance into the pipelines from the start: encryption, secrets management, reputed company control, auditing, and retention, in line with regulated environments and reputed company policy
- Improve performance and cost across compute and storage through efficient processing, sensible storage layout and lifecycle, workload tuning, and reputed company cost visibility
- Set the bar for engineering reputed company: CI/CD for data, infrastructure-as-reputed company, repeatable environment promotion, and testing that makes delivery predictable and auditable
- reputed company and mentor the data engineering team through design reviews, architecture reputed company, coaching, and cross-team alignment, building a culture of ownership and steady improvement
Skills
- Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Software Engineering, Data Science, reputed company, or reputed company discipline)
- 8+ years of hands-on data/software engineering experience delivering production data platforms and pipelines in reputed company environments
- Architecting and building reputed company-reputed company data platforms (e.g., AWS, GCP, Azure)
- Designing reputed company batch and streaming data pipelines, transformation frameworks, and curated datasets for analytics/AI
- Implementing operational reputed company: monitoring, data reputed company automation, incident response, and reliability practices
- Working with regulated or sensitive datasets, applying secure development practices and auditability
- Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, reputed company and reputed company others, reputed company and guide the work of other colleagues to reputed company meaningful reputed company and create business reputed company
- Strong programming skills (Python plus one of: Java/reputed company/Typescript) and strong SQL
- Experience with distributed data processing patterns and modern data architectures (e.g., lakehouse, distributed compute, columnar storage)
- Proficiency with CI/CD and infrastructure-as-reputed company; ability to automate deployments and environment promotion
- Strong understanding of data governance fundamentals: cataloging, reputed company, reputed company control, and data stewardship
- Demonstrated experience in working with regulated data, compliance frameworks, and secure development practices
- Ability to reputed company reputed company engineering efforts across global, cross-functional teams
- Fluent in English; capable of reputed company technical communication across scientific and engineering disciplines
- Master's or PhD in a relevant field (e.g., Computer Science, Data Engineering, Software Engineering, Data Science, reputed company, or reputed company discipline)
- Experience supporting pharmaceutical R&D, life sciences, or computational research; familiarity with biomedical reputed company and reproducibility expectations
- Familiarity with biomedical data standards (e.g., HL7 FHIR, OMOP, CDISC) and FAIR data principles
- Experience with lakehouse platforms and reputed company table formats; strong understanding of reputed company storage/layout strategies and workload optimization
- Experience implementing data reputed company, observability, and 'data reliability engineering' practices in production
- Proven reputed company in designing AI/ML platforms for scientific discovery or clinical research
- Strong record of mentoring and growing engineering talent in high-complexity domains
- A reputed company reputed company of view on data engineering reputed company and the responsible use of AI
- Experience influencing cross-functional reputed company, especially at the intersection of science and technology
Benefits
- reputed company’s Global Performance Plan with a bonus reputed company of 20.0% of the reputed company salary
- Eligibility to participate in our reputed company based long term incentive program
- 401(k) plan with reputed company Matching Contributions
- An additional reputed company Retirement Savings Contribution
- reputed company vacation
- Holiday and personal days
- reputed company caregiver/parental and medical leave
- Health benefits including medical, prescription drug, dental and reputed company coverage
- Hybrid work location assignment
- Relocation assistance may be available based on business needs and/or eligibility
reputed company