What You’ll Be Part Of: Ad Optimization team builds the systems that turn attributed conversions and impressions into the optimization feeds that external partners use to make their advertising models smarter. This is the revenue-facing edge of our data platform: partner-facing feeds, identity matching, and the pipelines that deliver them at scale and on time. We're engaging a senior contract engineer to help deliver on high-impact, time-bound initiatives — including migrations to new data methodologies, deterministic identity matching using unique IDs, and new partner optimization feeds. You'll own meaningful pieces of the stack end to end: from Spark pipelines and our data lake through workflow orchestration, partner integrations, and the APIs and delivery mechanisms that deliver signal to partners. This is a hands-on delivery role for someone who can ramp quickly and produce production-quality work with minimal onboarding. What does the team do? What are we building? How does this impact the business? How will this revolutionize future business? Responsibilities:● Build, optimize, and operate production Apache Spark pipelines that generate attributed conversion and optimization feeds from large-scale impression and conversion data. ● Design and evolve data processing and models across modern data lake and warehouse technologies, orchestrated with a production workflow scheduler on AWS. ● Build and operate partner optimization feeds and integrations with external partners, including schemas, identity fields and unique IDs, file delivery, reconciliation, and SLAs. ● Build, change, and operate production REST APIs, including PHP APIs, delivering secure, backward-compatible changes end to end (implementation, validation, authorization, data access, documentation, automated testing, and production diagnostics). ● Trace and modify behavior across controllers, database queries, templates, JavaScript, and automated tests. ● Diagnose production failures, reconcile partner-facing data, execute backfills, and manage staged releases and rollbacks. ● Write and maintain unit and integration tests across pipelines, APIs, and feeds. Qualifications and Education Requirements:● At least 4 years of professional software development experience, including 3 or more years building production web interfaces. ● Hands-on production experience with React, TypeScript, JavaScript, semantic HTML, and modern CSS. ● A track record of building complex, client-facing SaaS workflows, including onboarding, configuration, validation, status tracking, and error recovery. ● Experience creating data-rich interfaces and reusable frontend components that support multiple projects. ● Strong knowledge of responsive design, accessibility and WCAG standards, design systems, cross-browser compatibility, and frontend performance. ● Experience integrating REST APIs, helping shape API contracts, handling failures gracefully, and building authenticated, role-aware experiences. ● Experience writing and maintaining unit, integration, and browser tests, with the ability to plan test coverage and diagnose recurring failures. ● Experience creating and reviewing frontend technical designs with scalability, maintainability, and cross-platform impact in mind. ● Experience owning software in production, including CI/CD, releases, telemetry, incident investigation, root-cause analysis, runbooks, performance risks, and mitigation. ● Proven ability to lead small engineering projects independently, from ambiguous requirements through production delivery. ● Ability to ramp up quickly, coordinate UI, API, authentication, and deployment work across repositories, and clearly communicate risks and decisions with limited oversight. ● Comfortable partnering with Product and Design to turn requirements and design artifacts into polished user interactions, without needing to serve as the primary visual designer. ● Experience using AI-assisted engineering tools responsibly, with appropriate verification for security, correctness, and maintainability Preferred Skills:● Direct experience building partner optimization or advertising feeds with external platforms (DSPs, publishers, or measurement partners). ● Experience with deterministic and probabilistic identity matching — unique IDs, device IDs, IP-based matching, and identity graphs. ● Familiarity with edge/log delivery infrastructure and pixel/impression tracking. ● Experience with data lake table formats and query engines at large scale. ● Experience with privacy and compliance-driven data workflows (deletion, opt-out, suppression, data retention). ● Comfort operating in uncharted territory — turning ambiguity into production systems without a detailed guide. On-call. This role includes availability for occasional off-hours release or incident support. It does not include formal on-call duty unless separately established. | 
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