Senior Data Software Engineer/ Urgently Needed/ SF
This Jobot Job is hosted by: Heather Burnach
Are you a fit? Easy Apply now by clicking the "Apply on company site" button and sending us your resume.
Salary: $170,000 - $200,000
A bit about us:
This San Francisco company is the leading platform for professionals to discover innovative companies, connect with the people behind them, and pursue new opportunities. Over 55 million professionals—including entrepreneurs, investors, market researchers, and salespeople—trust this social data platform to inform their business decisions. And companies all over the world rely on us to power their applications, making over a billion calls to our API each year.
Why join us?
They believe that diversity fosters the discovery of new solutions and surfaces old problems that need answers. They want to provide a platform that provides reliable information on different sectors in the market. They have a great work life balance and working remotely till 2021.
Data Integrations Team
Our Data Integrations team is responsible for building and maintaining all automated solutions to get data from various sources into our platform, as well as the frameworks and processes to export this data. As the company grows, so does the amount of data we process, the number of sources it comes from, and the insights we derive from it. At its core, the main product is a data company, and data integrations is at the heart of our platform.
What You'll Do
Architect and build new dimensional data models and schema designs to improve accessibility, efficiency, consistency, and quality of both internal and production data
Build, monitor, and maintain analytics and production data ETL pipelines
Provide the foundation for a data-driven culture by empowering other engineers and the Product team to ask questions of the dataset in an easy, reliable way
Enable data scientists to implement NLP and ML algorithms at scale, in fault-tolerant, highly available systems
What We're Looking For
You have 3-4+ years of industry experience
You have a proven understanding of computer science and software engineering fundamentals
You can code in Python
Experience with Kubernetes Kafka, Spark, data warehousing, or Airflow a plus. If no experience, you are passionate about learning
You may have experience building data pipelines or supporting machine learning algorithms in production
You have excellent verbal and written communication skills
You care about agile software, cross-team collaborations, and data-driven development and evaluation
Interested in hearing more? Easy Apply now by clicking the "Apply on company site" button.