Description:

Support analytical data infrastructure for large datasets including genomic, phenotypic, environmental, image, and geospatial data.
Engage with business stakeholders to build technical strategies and support strategic roadmaps.
Interface with DevOps teams for data extraction, loading, and transformation using big data technologies.
Create and support real-time data pipelines on AWS technologies.
Embed quality reporting capabilities into data pipelines with anomaly detection and trend analysis.
Collaborate with data scientists to implement advanced analytics algorithms.
Improve automation and simplify data as a service.
Role is fully remote.

Requirements:

Bachelor’s degree in Engineering, Computer Science, or related field.
5 years of experience as a Data Engineer, Software Engineer, or related role.
Experience with end-to-end data solutions, data models, and business intelligence products.
Proficiency in DW Architectures, OLAP technologies, and data reporting solutions (Tableau, OBIEE, Looker, PowerBI).
Experience with database management systems (Oracle, SQL Server, Postgres, Spark, Hadoop).
Proficient in programming/scripting languages (Shell, Python, Scala, PySpark).
3 years of experience designing real-time analytics platforms (Kafka, Spark, AWS, GCP).
Experience with data quality tools (Datadog) and CI/CD tools (Buildkite, Jenkins, Gitlab).
Must pass a background check and drug test before employment.

Culture that promotes belonging, collaboration, and professional development with flexible work options.
Full Benefit Package (Medical, Dental & Vision) starting on the first day.
401k plan with company match, Profit Sharing & Retirement Savings Contribution.
Paid Vacation, 9 Paid Holidays, Maternity and Paternity Leave, Education Assistance, Wellness Programs, Corporate Discounts.

Skills

Benefits