Start/End Dates: 11/30/2026 - 11/29/2027
Tax Work Location: US - CA - Remote
Job Title: Data Analytics & Engineering - Data Engineer III
Must-Have Skills
1)Strong cross-functional partnership and communication — able to work
with senior stakeholders up to director level, and to clarify, challenge, and
push back constructively
2) Experience setting up data architecture and pipelines for an organization,
including dimensional modeling and ownership of production pipelines
end to end (correctness, freshness, backfill).
3) Strong hands-on technical depth in the specific stack: Python, advanced
SQL on very large, partitioned tables in a distributed query engine, and
pipeline orchestration.
Nice-to-have Skills
1 Smaller company, startup, or pure-tech background — scrappier, with
natural exposure to back-end systems and cross-team work.
2 Robotics, sensor, or time-series data experience (ROS bags, MCAP), or
multimodal/unstructured data at scale.
3 Working knowledge of TypeScript/React, enough to extend an internal
web app to surface new metrics.
Job Description: Summary:
The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization's data assets.
Job Responsibilities:
• Design, construct, install, test and maintain highly scalable data management systems.
• Ensure systems meet business requirements and industry practices.
• Design, implement, automate and maintain large scale enterprise data ETL processes.
• Build high-performance algorithms, prototypes, predictive models and proof of concepts.
Skills:
• Ability to work as part of a team, as well as work independently or with minimal direction.
• Excellent written, presentation, and verbal communication skills.
• Collaborate with data architects, modelers and IT team members on project goals.
• Strong PC skills including knowledge of Microsoft SharePoint.
Education/Experience:
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
• Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.
