Data Engineer
At a glance
Mid-level Data Engineering role at Evidation. Santa Barbara · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.
Evidation has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Run the ETL pipelines that move data through the analytics workflow
- Test new analytics approaches by investigating them, building prototypes and checking their results
- Improve analytics systems so they use resources well and remain fast and available
- Build data analytics systems with sound software engineering practices
- Work with data scientists to deliver dashboards, findings and data pipelines to clients
What you bring
- A background in computer science, engineering, math, physics or another listed quantitative field
- Strong coding and analytical ability, backed by solid Python and SQL experience
- Software engineering skills for building modular, extensible and well-designed systems
Who this fits
This role suits a mid-level data engineer with a software engineering background who wants to work on healthcare data and analytics. The position is based onsite in Santa Barbara, California.
From the employer
Our small data science team is changing the way healthcare decisions are made. We’re taking advantage of new technologies and the latest in statistics and machine learning to rapidly analyze new kinds of healthcare data. We have one-of-a-kind access to health and behavior datasets, and we’re using it to change the world for the better. Our distributed data processing and analysis pipeline is built on top of technologies like Spark, Hadoop, Elasticsearch, Python, and Scala, and we need brilliant engineers to help us scale it and adapt it to new challenges. This is the perfect job if you have a software engineering background and want to get involved in healthcare and big data engineering.
We have offices in Menlo Park, CA and Santa Barbara, CA and a Surf Air membership so you can rove between the offices. This position is in Santa Barbara, CA.
Responsibilities:
Own our data ETL pipelines
Investigate, prototype, and validate new analytics systems
Optimize our analytics systems for performance, cost, and availability
Design and implement new data analytics systems using top-notch software engineering practices
Work closely with our Data Scientists to deliver dashboards, insights, and data pipelines to clients
Requirements:
Background in quantitative fields (Computer Science, Engineering, Math, Physics)
You’re a strong analytical thinker and coder. Think ACM-ICPC, IOI, and IPSC.
You’re a great software engineer who writes modular, extensible, well-designed systems.
You have solid experience with Python and SQL.
You value learning, personal growth, teamwork, and excelling at what you do.
All your information will be kept confidential according to EEO guidelines.
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.