Data Engineer/Senior Data Engineer

Redwood City, CA

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C3.ai

C3 AI is a leading enterprise AI software provider for building enterprise-scale AI applications and accelerating digital transformation.

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C3.ai, Inc. (NYSE:AI) is a leading provider of Enterprise AI software for accelerating digital transformation. The proven C3 AI Platform provides comprehensive services to build enterprise-scale AI applications more efficiently and cost-effectively than alternative approaches. The core of the C3 AI offering is an open, data-driven AI architecture that dramatically simplifies data science and application development. Learn more at: www.c3.ai

C3 AI has an opening for a Data Engineer/Senior Data Engineer. In this post-sales, customer-facing position, you will have the opportunity to build and maintain data models, integrations and pipelines for Enterprise AI Applications using the C3 AI Suite. The C3 AI product suite is entirely data-driven, so a great candidate will have a passion for acquiring, analyzing, and transforming data to generate insight. This role is very hands-on and requires a structured mindset and solid implementation skills. 

Qualified candidates will have a solid knowledge of integration architecture and best-practice distributed data processing concepts. 

Responsibilities:

  • Engage directly with customers to participate in design and development of data integration and architecture solution according to functional and performance requirements 
  • Develop complex data integrations and pipelines on high volume, high frequency datasets to enable AI Application workflows (feature engineering, training, inference, alerting) 
  • Participate in the development of documentation, technical procedures and user support guides 
  • Perform debugging, troubleshooting, modifications and unit testing of integration solutions 
  • Support, monitor, execute production application jobs and processes 

Qualifications:

  • 2+ years of experience (4+ for Senior Data Engineer) with system/data integration, development or implementation of enterprise and/or cloud software 
  • Engineering degree in Computer Science, Engineering or related field 
  • Extensive hands-on experience with data integration/EAI technologies (File, API, Queues, Streams), ETL Tools and building custom data pipelines 
  • Demonstrated proficiency with Python, JavaScript and/or Java 
  • Familiarity with version control/SCM is a must (experience with git is a plus) 
  • Experience with relational and NoSQL databases (any vendor) 
  • Solid understanding of cloud computing concepts 
  • Strong organizational and troubleshooting skills with attention to detail 
  • Strong analytical ability, judgment and problem-solving techniques 
  • Interpersonal and communication skills with the ability to work effectively in a cross functional team 

Preferred Qualifications:

  • Expertise in Postgres and Cassandra 
  • Experience with Hadoop, Spark, Cloud Databases (Snowflake, BigQuery, Redshift) 
  • Experience implementing and supporting DataOps in a highly available, mission critical environment 
  • Working knowledge of Machine Learning algorithms 
  • Experience with SaaS and business intelligence or advanced analytics implementations 

C3 AI provides excellent benefits and a competitive compensation package, which includes:  

  • Generous equity plan.
  • Salary range: $85,000 - $161,000 USD.

Candidates must be authorized to work in the United States without the need for current or future company sponsorship.

C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status. 

Tags: APIs Architecture BigQuery Business Intelligence Cassandra Computer Science DataOps Data pipelines Engineering ETL Feature engineering Git Hadoop Java JavaScript Machine Learning NoSQL Pipelines PostgreSQL Python Redshift Snowflake Spark Testing

Perks/benefits: Career development Competitive pay Equity

Region: North America
Country: United States
Job stats:  5  2  0
Category: Engineering Jobs

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