Senior Data Engineer
Chime Financial, Inc. - San Francisco, CA 94108
Title: Senior Data Engineer
Duties: The Senior Data Engineers (multiple positions open) at Chime Financial, Inc. in San Francisco, California will design, develop, and improve operations of a large-scale, real-time data systems. Data is fundamental to Chime's success. The challenges include scaling systems to keep up with a fast-growing product, architecting a fresh modern stack, and implementing infra and pipelines often from scratch. The Senior Data Engineer will focus on data quality, reliability, observability, performance, and security. Optimize and redesign our company's data architecture to support our next generation of product and data initiatives. Build the infrastructure required for optimal extraction, transformation and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies. Work with stakeholders, including analytics, risk, machine learning and technical operations teams, to assist with data-related technical issues and support their data infrastructure needs. Participate in key technical and design discussions with technical leads. Provide technical leadership to team by giving guidance on design and code when time allows. Help manage and consult in designing data governance initiatives
Requirements: Bachelor's degree in Computer Science, Computer Engineering, or a related field plus 5 years of experience building, scaling and optimizing ingestion and delivery pipelines. The 5 years of experience must include 3 years of experience with data warehousing and ingestion, data modeling and transformation, code development, and data pipelining. Experience must also include:
(1) one year of experience with Python, SQL, or another programming technology in the data space; and one year of experience with at least two of the following: (1) data warehouses, including Snowflake, Redshift; (2) Airflow or other workflow scheduler; (3) SQL databases, including MySQL, Postgres, or RDS; (4) NoSQL databases and unstructured/semi-structured data including DynamoDB or Mongo; (5) Streaming infra, including: Kinesis, Kafka, Sqoop, Flume, Flink, or Spark; or (6) analytics vendors including Segment, Fivetran, or Stitch.
Interested candidates can email their resume to apply to Diana Yau at [email protected] and reference job code 060. Contact Diana Yau at [email protected] if you have questions or need information about this application.
This notice is subject to Chime Financial Inc.'s employee referral program.