Data Engineer
Interwell HealthSalary not specified
- Full Time
- Junior (1 to 2 years)
$60,000 – $90,000Compensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
InternshipJob Type
UnknownVisa
Data Science, Software Development, Data EngineeringIndustries
Requirements
Candidates should possess a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field, along with 5+ years of software development experience at a venture-backed startup or top technology firm, with a focus on data engineering. Significant hands-on experience in data engineering, including ETL development, data warehousing, and data lake management, is required, alongside proficiency in Python and SQL and comfort with cloud-based data stack tools. Familiarity with big data processing frameworks like Spark and Hadoop, and data integration technologies such as Airflow or DBT, is also necessary. Experience implementing data governance, security, and compliance measures is a key qualification.
Responsibilities
The Data & Analytics Engineer will be responsible for architecting, building, and maintaining ETL pipelines and workflows to ensure high data quality and reliability, designing and managing a central data lake to consolidate data from various sources for advanced analytics and reporting, developing and maintaining dashboards and analytics tools for business and engineering teams, collaborating with cross-functional stakeholders to identify data gaps and develop solutions, implementing best practices in data security and governance, evaluating and integrating new technologies to optimize data processes, and continuously monitoring, troubleshooting, and improving data pipelines and infrastructure for performance and cost-efficiency.
Skills
Python
SQL
ETL
Data Warehousing
Data Lake Management
Spark
Hadoop
Airflow
DBT
Data Governance
Data Security
Cloud-based Data Stack
Hebbia
AI-powered browser extension for efficient information retrieval
About Hebbia
Hebbia.ai offers an AI-powered browser extension that enhances the traditional search function by understanding the context of user queries. This tool quickly highlights the most relevant information in lengthy documents, making it easier for users to find what they need. It is particularly useful for professionals such as researchers, financial analysts, legal experts, and software engineers who often work with extensive documentation. Unlike standard search tools, Hebbia's extension provides a more efficient way to sift through large amounts of text, improving information retrieval speed significantly. The company is currently in private beta, allowing early users to test the product, with plans to monetize through subscription fees or licensing agreements in the future. Hebbia aims to optimize workflows for its users by providing a solution that is 20 times faster than traditional methods.
Key Metrics
New York City, New YorkHeadquarters
2020Year Founded
$155.3MTotal Funding
SERIES_BCompany Stage
Enterprise Software, AI & Machine LearningIndustries
51-200Employees