Big Data Engineer
Location: Remote (HQ in SF)
$150,000 + Stock Options
This is a rare opportunity for a proven Data Engineer to take ownership and help build out robust solutions for a fast growing data driven Healthcare organization. If you're looking to move into a fast paced environment where you will play a key role in developing and mentoring the team in addition to being given the opportunity to really take a huge amount of ownership and develop the Data platform - this is the right move for you.
As a Senior Data Engineer you will be very hands on with a strong background in building ETL pipelines that will allow you to assist in building out the groups platform. You will create, design and optimize pipelines and applications for the platform using a variety of tools. You will need to understand how best to utilize existing while exploiting new technologies, maintaining high performance data infrastructure and pipelines. you will also be working with a 15 strong team of Data Scientists so an understanding of ML concepts would be a huge benefit.
YOUR SKILLS AND EXPERIENCE:
The successful Data Engineer will have the following skills and experience:
A minimum of 5 year's experience in designing and developing Data processing systems.
A Bachelor's Degree in Computer Science, Engineering or a related field.
Fluent with Python and SQL - comprehensive experience with Unix, GIT & ETL- frameworks such as Sqoop- a must.
Experience with Big Data technologies such as Hadoop, Spark, AWS- Redshift, MYSQL & Elasticsearch would be preferable.
Ideally Data Science exposure.
Experience in client facing roles would be preferable, comfortable translating requirements and needs to a variety of audiences at all levels.
You will get great benefits with this organization including a fantastic health benefits package in addition to a 401k, plus Stock Options.
HOW TO APPLY
To submit your resume, please click "apply".