Senior Data Engineer
HatchSalary not specified
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare, Data Science, Artificial IntelligenceIndustries
Requirements
Candidates should possess 5+ years of experience in data engineering, with proficiency in programming languages like Python or Java, and strong SQL skills including complex queries and optimization techniques. They must have experience with big data tools such as Apache Spark, particularly on AWS EMR, and familiarity with containerization technologies like Docker.
Responsibilities
As a Data Engineer at H1, you will design, build, and maintain robust, scalable ETL/ELT pipelines to ingest, transform, and load data from various sources; implement data quality checks, monitoring, and logging; monitor and improve the performance of data systems and pipelines; evaluate and integrate data engineering tools; collaborate with senior engineers to improve data architecture; support data integration efforts; troubleshoot data issues and optimize queries; document data processes and workflows; participate in code reviews; and engage with cross-functional teams to understand business needs and translate them into data solutions.
Skills
ETL
ELT
Data Pipelines
Data Quality
Data Governance
Data Architecture
Monitoring
Logging
Troubleshooting
H1
Healthcare data analytics and research solutions
About H1
H1.co operates in the healthcare technology sector, focusing on connecting healthcare professionals with research and insights. The company provides data-driven solutions that help clients, including healthcare professionals, life sciences companies, payors, and patients, make informed decisions. H1.co's products utilize healthcare data to offer insights for various applications such as clinical trial design and market access. Unlike many competitors, H1.co emphasizes the democratization of healthcare data and offers a free platform, H1 Connect, for accessing expert insights. The company's goal is to enhance the efficiency of healthcare delivery and research by providing accurate and comprehensive data.
Key Metrics
New York City, New YorkHeadquarters
2017Year Founded
$181.9MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Biotechnology, HealthcareIndustries
201-500Employees