Senior Data Analytics Engineer

Own measurement and analysis for harm verticals.

Develop AI-first methods for prevalence measurement and safety metrics.

Design and implement robust data models for analytics

Collaborate with stakeholders to deliver data products

Own and manage core marketplace systems.

Improve reliability, performance, and observability.

Participate in monthly performance review with IT Tower Leads and operations

Develop cost plans, forecasts, and investment strategies

Enhance core inference services

Integrate AI models

Drive SRE practices across services

Design end-to-end observability solutions

Lead design and implementation of shared data models and dimensions.

Standardize data engineering practices across teams.

Lead design and development of high-impact web applications and Tier-0 services

Ensure resilience and high availability of core services

Analyze data to support data-driven decisions

Create models/tools to identify and remove inefficiencies

Own team features and long-term vision

Build scalable, high-performance core infrastructure

Break down large projects into manageable tasks

Collaborate with cross-functional teams

Driving SRE practices across services

Designing and maintaining end-to-end observability

Own end-to-end lifecycle of data platforms

Ensure scalability, reliability, and governance for data platforms

Provide L1/L2 support during live events and tradeshows

Analyze and troubleshoot data discrepancies using PostgreSQL

Build self-service data experiences for analytics and reporting

Create fault-tolerant data pipelines across microservices and third-party systems

Drive and refine SRE practices across services

Design and maintain end-to-end observability

Design and build a unified evaluation platform for agentic systems and audit workflows

Develop automated pipelines for new model evaluation

Drive SRE practices and build observability for reliable services

Partner with product/engineering teams on AWS infrastructure evolution

Support AI system improvement through code validation and algorithmic evaluation

Provide structured feedback for solution quality and clarity

Develop cutting-edge voice cloning technology

Implement low latency and cost-effective text-to-speech solutions

Analyze threat actor behavior and abuse patterns

Implement abuse detection techniques

Lead Digital Forensics and Incident Response at Dave.

Establish core forensics workflows and evolve the company's SIEM.

Collaborate with cross-functional teams to refine iOS and Android testing processes

Develop and implement resilient mobile UI automation tests

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Build production apps with AI models

Deliver technical artifacts and provide support

Designing and maintaining agent-driven services

Developing high-throughput APIs for agents

Building production apps with Claude models

Delivering MCP servers and sub-agents for workflows

Optimize programmatic campaigns for clients' business growth

Analyze data to uncover insights for campaign improvements

Design and conduct HEOR studies

Perform statistical analyses on healthcare databases

Provide technical support to enterprise customers

Lead technical adoption plans

Develop biomechanics algorithms and visuals

Organize and analyze large biomechanics datasets

Lead AI tech vision and roadmap

Partner with research for model capabilities

Monitor and troubleshoot Linux systems, databases, and networks

Develop and implement performance tuning for applications and networks

Architect and build next-generation Conversational AI products

Lead and mentor engineering teams

Review and refine AI-generated prompts, responses, and code

Validate algorithms and software concepts for technical accuracy

Lead Digital Forensics and Incident Response at Dave

Establish core forensics workflows and evolve SIEM

Establish and refine testing processes for iOS and Android applications

Design and implement resilient mobile UI automation tests

Implementing voice cloning and text-to-speech technologies

Developing low latency and cost-effective solutions

Analyze threat actor behavior and abuse patterns.

Implement abuse detection techniques.

Build and improve security detection mechanisms and automation frameworks

Engage with owners of high-risk systems to identify detection gaps

Design and maintain forecasting models

Develop optimization models

Design, deploy, and configure cloud services for migrations and AD

Implement security architectures for managed services offerings

Develop and deliver advanced nondestructive evaluation inspection solutions

Interface with vehicle engineering to align inspection requirements

Build and maintain data integrations and ETL processes

Design and optimize data pipelines for reliability and scale

Identify vulnerabilities and drive remediation

Perform code reviews, design reviews, and penetration testing

Design and build partner-facing APIs

Expand and improve Powered by Zapier platform

Apply analytics to solve finance & market risk problems

Develop and maintain finance data mart

Build and maintain data platform capabilities

Contribute to data lake modernization

Lead and mentor ML/Data Engineers

Collaborate with Product Managers

Define evaluation strategies and frameworks for enterprise stakeholders

Manage staffing, costs, and delivery plan for project execution