Associate Data Engineer
Skills
Computer ScienceWarehouse OperationsApache SparkContextData AnalyticsData WarehousingDownstream Oil And Gas
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Bachelor's degree in Computer Science Engineering Information Systems or related field or equivalent hands-on experience
- Strong SQL proficiency for exploring validating and analyzing data
- Proficiency in Python or another programming language for scripts and automation
- Basic understanding of data modeling ETL ELT and data pipeline architecture
- Familiarity with version control Git and collaborative development practices
- Strong communication skills for clear documentation and clarifying questions
- Analytical mindset and problem-solving skills for data quality and debugging
- Attention to detail and commitment to data accuracy and reliability
- Basic understanding of data quality concepts testing and validation
- Willingness to learn from experienced engineers and grow into a full data engineer role
Nice to have
- Detail-oriented
- Analytical
- Collaborative
- Curious
- Adaptable
- Quality-focused
Day to day
- Support the data engineering team by resolving operational issues, handling support tickets, and performing discovery work that keeps senior engineers focused on platform growth.
- Investigate healthcare data pipelines, validate outputs, and help improve data quality, reliability, and documentation across production systems.
- Learn modern data engineering practices and tools such as SQL, Python, Git, and Databricks while contributing to real clinical data infrastructure.