Arbiter
Unifying and automating referral workflows so that every patient reaches the right provider at the right time and cost.
Data Engineering Lead
Location
United States
Posted
110 days ago
Salary
$180K - $240K / year
Bachelor Degree8 yrs expEnglishAirflowBig QueryCloudDistributed SystemsGoogle Cloud PlatformJavaPythonScala
Job Description
• Lead Architect & Hands-On Developer: Lead the design and build key components of our robust, scalable, and high-performance data processing systems (batch and real-time streaming) that power critical business functions, AI agents, and advanced analytics.
• Team Leadership & Oversight: Oversee the planning, execution, and delivery of the data engineering roadmap. Guide and unblock team members, manage project timelines, and ensure the team's output meets high standards for reliability, efficiency, and maintainability.
• Mentorship & Technical Standards: Actively mentor and develop data engineers on your team, fostering their professional growth through technical guidance, constructive code reviews, and knowledge sharing. Set and enforce best practices for coding, testing, and system design.
• Data Modeling & Governance: Drive the design of our data models for optimal storage, retrieval, and analytical performance, ensuring alignment with product, business, and regulatory requirements.
• Platform & Tooling: Champion and contribute to the development of core data platform tooling, frameworks, and standards that enhance developer productivity and data quality across the organization, supporting our AI agents and auditable systems.
• Cross-Functional Collaboration: Partner closely with product managers, software engineers, and other non-technical stakeholders to understand data needs, deliver impactful solutions, and provide expert data insights that drive the intelligent operating system.
• Team Building: Partner with engineering leadership to hire, interview, and onboard new team members, helping to build a world-class data engineering organization.
Job Requirements
- 8+ years of deep, hands-on experience in Data Engineering, Data Infrastructure, or building Data Engineering Tools and Frameworks.
- Proven experience in a technical leadership or lead engineer role, with demonstrated ability to mentor other engineers, lead code reviews, and guide team projects.
- Exceptional expertise in data structures, algorithms, and distributed systems.
- Mastery in Python for large-scale data processing; experience with other languages like Java or Scala is a plus.
- Extensive experience designing, building, and optimizing complex, fault-tolerant data pipelines (both batch and real-time streaming).
- Profound understanding and hands-on experience with cloud-native data platforms, especially Google Cloud Platform (GCP) services like BigQuery, Dataflow, Composer, Dataproc.
- Demonstrated experience with modern data orchestration (e.g., Airflow), data transformation (dbt), and data warehousing concepts.
- Experience with project management and breaking down large, ambiguous problems into clear, executable work for a team.
- Intimate knowledge of and ability to implement unit, integration, and functional testing strategies.
- Friendly communication skills and ability to work well in a diverse, cross-functional setting.
- Demonstrated experience leading a software product or component vision and delivery plan.
Benefits
- Highly Competitive Salary & Equity Package: Designed to rival top FAANG compensation, including meaningful equity.
- Generous Paid Time Off (PTO): To ensure a healthy work-life balance.
- Comprehensive Health, Vision, and Dental Insurance: Robust coverage for you and your family.
- Life and Disability Insurance: Providing financial security.
- Simple IRA Matching: To support your long-term financial goals.
- Professional Development Budget: Support for conferences, courses, and certifications to fuel your continuous learning.
- Wellness Programs: Initiatives to support your physical and mental health.
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