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Staff Data Engineer
Job Location:
Monthly Salary:
Posted:
30 September 2026 (5 days ago)
Posted:
Application Deadline:
29 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Were hiring a hands-on Principal Data Engineer who can both architect and build large-scale data systems.
Youll design the blueprints for modern data pipelines then write the code to bring them to life. From event-driven ingestion to analytics-ready datasets your work will power the data backbone behind Emumbas AI and product platforms.
Youll design the blueprints for modern data pipelines then write the code to bring them to life. From event-driven ingestion to analytics-ready datasets your work will power the data backbone behind Emumbas AI and product platforms.
This is a technical IC position not a managerial one. Youll spend most of your time writing code optimizing data pipelines and mentoring engineers through real-world implementation.
Key Responsibilities
- Design and code robust data pipelines for batch and real-time use cases.
- Define data models schemas and evolution strategies for scalable systems.
- Implement reliable ingestion transformation and storage layers across cloud services.
- Work hands-on with event-driven architectures microservices and data APIs.
- Optimize data quality performance and observability.
- Partner with AI and backend teams to make data discoverable and usable in production.
Contribute directly to architecture code reviews and performance tuning.
Skills Knowledge and Expertise
Must-Have Skills
- 6 years of hands-on experience in designing and building production data systems.
- Strong coding in Python and proficiency in SQL.
- Experience with data modeling ETL/ELT and data lifecycle management.
- Familiarity with event-driven systems (Kafka Kinesis or similar).
- Practical experience with cloud-native data workflows (AWS S3 Lambda Glue or similar).
- Solid understanding of structured semi-structured and unstructured data formats.
Nice-to-Have
- Experience working with vector stores or retrieval-based pipelines.
- Familiarity with Lakehouse concepts (Delta/Iceberg/Hudi or similar patterns).
- Understanding of data governance cataloging and lineage tracking.
- Exposure to ML data preparation or feature store design.
Soft Skills
- Hands-on builder attitude: owns delivery from architecture to deployment.
- Collaborates across AI backend and DevOps teams.
- Provides mentorship through examples not supervision.
Communicates clearly and pragmatically about technical trade-offs.
Required Experience:
Staff IC
About Company
Emumba is a global software services company enabling innovation for Fortune 500 customers. Specializing in AI, Gen AI, Product Development, and Enterprise Software Solutions. Transform your business today.
