Apply📍 United States
💸 150000.0 - 165000.0 USD per year
🔍 Healthcare
🏢 Company: Transcarent👥 251-500💰 $126,000,000 Series D 9 months agoPersonal HealthHealth CareSoftware
- You are entrepreneurial and mission-driven and can present your ideas with clarity and confidence.
- You are a high-agency person. You refuse to accept undue constraints and the status quo and will not rest until you figure things out.
- Advanced expertise in python and dbt for data pipelines.
- Advanced working SQL knowledge and experience working with relational databases.
- Experience building and optimizing big data pipelines, architectures, and data sets. A definite plus with healthcare experience.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
- A successful history of manipulating, processing, and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Be a data champion and seek to empower others to leverage the data to its full potential.
- Create and maintain optimal data pipeline architecture with high observability and robust operational characteristics.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal data extraction, transformation, and loading using SQL, python, and dbt from various sources.
- Work with stakeholders, including the Executive, Product, Clinical, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
PythonSQLApache AirflowETLKafkaSnowflakeData engineering
Posted about 9 hours ago
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