Staff Data Engineer
Yesterday
Airflow
Amazon Redshift
Apache
AWS
Cassandra
Cloud
ETL
Hadoop
MongoDB
MySQL
Next.js
NoSQL
Postgres
Python
Spark
SQL
Go
Description
• Looking for a hands-on Staff Data Engineer to partner with the Reporting Product Manager. • Collaborate with stakeholders to understand data requirements and deliver a high-quality vision for Data. • Design, develop, and maintain scalable and efficient data pipelines to process large volumes of data. • Develop a management and governance process for our Datamodels and data pipelines. • Implement data quality and validation checks to ensure data integrity and consistency.
Requirements
• 7+ years of experience in data engineering, with a strong background in building and managing data pipelines and architectures. • Strong knowledge of SQL and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). • Familiarity with data warehousing solutions such as Amazon Redshift, Google BigQuery, or Snowflake. • Experience with data orchestration tools like Apache Airflow or similar. • Knowledge of data modeling, ETL/ELT processes, and data warehousing concepts. • Strong problem-solving skills and the ability to troubleshoot complex data issues. • Proficiency in programming languages such as Python. • Extensive experience with data processing frameworks such as Apache Spark, Flink, or similar technologies.
Benefits
• The chance to work in a meaningful industry and in a fast-growing, global company on a path to changing digital healthcare. • Competitive compensation and benefits. • Learning and professional growth opportunities. • The tools you need, and enjoy using. • Frequent company events and talented colleagues from around the world.
Apply Now