Sr. Data Engineer (Databricks/Cloud) - Remote (would need 4-5 hr. overlap with the Pacific Time)

Sr. Data Engineer (Databricks/Cloud) - Remote (would need 4-5 hr. overlap with the Pacific Time) This is a senior technical contributor and developer role that requires a very good understanding of cloud architecture and highly scalable data workflows. The ideal candidate is very capable of high-quality work against technical and schedule challenges while following strong software design and process principles. The client is based in the bay area. You will work 100% remotely but the position needs 4-5 hours overlap with the team based on Pacific Time. What you will do: Design, develop and deliver company-wide solutions responsible for managing large volumes of data Ensure solutions are developed based on a high-quality, cloud-first scalable architecture. Support analysis and visualization of data for various stakeholders. Serve as a senior member of the project scrum team and follow industry best practice software development processes. Act as a technical mentor for other data platform developers. Key Requirements: • B.S. or M.S. in Computer Science, Software Engineering, or a comparable field. • 6+ years of solid commercial experience designing and building cloud-based solutions. • Strong experience in data warehousing -Databricks. • Must have experience in Public Cloud - GCP is preferred but not required. • The data ingested is specifically in support of sales/ operational pipelines, though that specific experience is nice to have but not required. • Detailed knowledge of challenges related to capturing and processing high volumes of data including Personally Identifiable Information (PII) • Working knowledge of at least one commercial or open-source data pipeline/platform. • Experience with data visualization tools like Tableau, and Domo. • Experience or solid theoretical understanding of data workflows including: • Ingestion. • Batch and stream processing. • Storage and archiving. • Visualization/Reporting and Dashboards. • Experience with Machine learning is nice to have but not required. • Problem-solving and debugging skills. The key is experience with Cloud, Databricks, data pipelining, managing PII data, and data visualization. Duration - 6 Months + extendible Pay Rate - $60 to $80 per hr. DOE Job Type - Contract The interview process will include 2 rounds of technical interviews. PS - You should be authorized to work in the US & based anywhere around the US states. Apply tot his job