Note: The job is a remote job and is open to candidates in USA. HRConnects is seeking an experienced Database Engineer Contractor to architect, develop, and optimize scalable enterprise data platforms. The role focuses on building data pipelines and services, integrating structured and unstructured data, managing orchestration, enforcing governance, and providing technical leadership.
Responsibilities
- Design, architect, and scale enterprise data platforms, pipelines, and storage systems (warehouses/lakehouses)
- Develop reusable ETL/ELT frameworks and connectors for ingesting both structured and unstructured data using distributed processing systems like Spark/PySpark for batch and streaming workloads
- Build and maintain production-grade data services, including developing RESTful APIs in Python, ensuring performance and code quality
- Manage data pipeline orchestration, monitoring, and lifecycle using tools such as Airflow or similar platforms
- Implement and enforce data governance policies, data security, lineage tracking, and compliance standards
- Provide technical leadership and mentorship to engineering teams, driving end-to-end data engineering projects and solving complex data challenges
Skills
- Minimum of 5+ years in Data Engineering or a similar field
- Extensive expertise in Python programming, including building production-grade data pipelines and reusable frameworks
- At least 4+ years of hands-on experience with Spark/PySpark, including pipeline development and optimization
- Proven experience in developing backend systems and RESTful APIs using Python frameworks like FastAPI, Django, or Flask
- Familiarity with data orchestration tools such as Airflow or Dagster
- Solid understanding of data modeling, warehousing, and lakehouse architectures
- Knowledge of data governance, security, and compliance standards
- Strong problem-solving skills and the ability to collaborate across teams
- Ability to work remotely
- Availability to commit to a 4+ month contract starting mid-September 2026
- Willingness to work onsite or remotely, with occasional coordination as needed
- Experience with infrastructure engineering, particularly within Apache Foundation projects
- Knowledge of streaming data processing and real-time analytics
- Familiarity with monitoring tools, data lineage, and operational automation
- Bachelor's or Master's degree in Computer Science, Data Science, or related field
- 5+ years of professional experience in data engineering roles, with a focus on large-scale data platforms
Benefits
- Remote work opportunity
- Onsite or remote work, with occasional coordination as needed
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