Job Description
Sr. Data Engineer
Charlotte, NC / Salt Lake City, UT / San Francisco, CA / US Remote
Data Data Engineering /
Full-Time /
Remote
Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us.
ABOUT THE SR. ENGINEER, DATA ENGINEERING ROLE
Were looking to hire a Senior Engineer to contribute to the development of Varos data platform. The Data Engineering team collaborates closely with product, data science and machine learning teams to design, build, and scale high leverage datasets that enable analytics, and experimentation. As a Senior Data Engineer you will contribute to the vision for data architecture and data quality across multiple company verticals. If you are interested in working with an impressive team of Data pros who collaborate and challenge each other, and want to solve interesting problems to propel the companys growth, apply now.
What you’ll be doing
- Design, build and maintain Varos data pipelines to process data into and out of Varos Data Lake
- Work with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS
- Develop and maintain the data strategy for Varo in terms of capabilities and control mechanisms that support company responsibilities as a regulated national bank
- Provide technical leadership in the area of data systems development including data ingestion, data curation, data storage, high-throughput data processing and analytics
- Work with business partners on requirements, clarification and results
- Participate in developing and enforcing data security & access control policies
- Develop effective controls for a resilient data ingestion process
- Support application data integration design and build efforts, including real-time capabilities
- Conduct code reviews in accordance with team processes and standards
You’ll bring the following required skills and experiences
- Bachelor’s degree in Computer Science, MIS, Engineering or related field, or relevant work experience
- 6-8 years of data modeling, data pipelines, data lake, data warehouse experience
- 6+ years programming experience in Python (will also consider Java, Kotlin, C, C++)
- 6+ years experience working within the AWS Big Data/Hadoop Ecosystem (EMR, Glue and Athena)
- Experience with other AWS components like Cloudwatch, EKS, KMS, Lambdas, S3 is a strong plus
- Experience with downstream consumption patterns (reports, dashboards) is a plus
- Experience in Hadoop, HDFS, Hive, Presto, REST/SOAP API, Spark2, Airflow is a plus