Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Skills
llm
sql
spark
flink
beam
python
data lake
azure
Job Details
Need 10+
As a Sr. Data Engineer, you will leverage new and existing data sources in support of our core data lake and ingestion of customer data into our platform. We're seeking teammates who love data of all kinds, are masters of building efficient, scalable, operable data pipelines, and are ready to take hands-on coding ownership in the following areas:
- Data ingestion pipelines for existing and new data sources (both batch and real-time streaming)
- Experience with all forms of multi-modal data types
- Monitoring frameworks to protect data quality and consistency
- Data modeling design and data architecture skills to support reporting and analytics requirements
- Experience in the latest generation of data lake architectures, stream and batch processing, and managed cloud services to support scale growth of 100x or more!
Qualifications
- Degree in Computer Science, Mathematics, Statistics, or other data-intensive discipline with substantive engineering experience.
- 7+ years demonstrated development experience using SQL, Scala, Spark, Flink, Beam, and/or Python
- 5+ years demonstrated experience in data management (structured and unstructured) and modern database technologies
- Demonstrated experience developing data pipelines to support machine learning, LLMs or other analytical solutions
- Experience working with multi-cloud providers such as AWS and Azure
- Work and collaborate in-person at our Bellevue Headquarters
- Ability to travel up to 50% of your time, and as needed, to work with external customers
- Ability to work collaboratively through ambiguity, with urgency, patience, and good humor
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.