Data Engineer I
Skills
- Professional data-engineering experience with strong Python and SQL skills
- Experience using dbt to build data pipelines
- Proficiency with relational, NoSQL, and cloud database technologies
- Hands-on experience with Databricks including Delta Lake and Spark SQL
- Strong knowledge of data warehousing concepts and ETL/ELT design
- Ability to perform root-cause analysis on datasets
- Experience manipulating and extracting value from large datasets
- Basic understanding of performance tuning and optimization for data systems
- Experience working with cross-functional teams in dynamic environments
Responsibilities
- Champion data accessibility and empower colleagues to use data effectively
- Design and maintain data pipelines with high observability and reliability
- Build and maintain large, complex data sets meeting functional and non-functional requirements
- Identify and implement process improvements such as automating tasks and optimizing data delivery
- Construct ETL/ELT infrastructure using SQL, Python, pyspark, and dbt
- Collaborate with executive, product, clinical, data, and design teams on data infrastructure needs
- Ensure pipelines are scalable, efficient, and secure
Education
- Graduate degree in computer science, statistics, informatics, information systems or related quantitative field
Benefits
- Competitive medical, dental, and vision coverage
- Competitive 401(k) Plan with company match
- Flexible Time Off / Paid Time Off and 12 paid holidays
- Life, disability, and supplemental insurance
- Mental health and wellness benefits
- Corporate bonus program and stock options
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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Our mission at Transcarent is to make it easy for people to access high quality, affordable health and care.
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