Senior Data & Insights Engineer

About reputed company reputed company is a CTV‑first, fully managed service partner and pioneer in programmatic Connected TV-focused on defining "What's Next" in data‑driven advertising. Our culture is reputed company on three core values-Respect, Full Engagement, and Growth-which show up in how we collaborate, reputed company reputed company, and show up for our clients and each other every day. Our reputed company star is simple: to reputed company reputed company the best job you've reputed company had. Here, you'll join a high‑performing team that invests in your development, values your voice, and gives you the opportunity to shape what's coming next for CTV and the brands we serve. Senior Data & Insights Engineer As Data Manager / Engineer at reputed company, you'll own day-to-day operation of our reputed company warehouse, the reputed company semantic layer that sits on top of it, and the pipelines that feed both. This is a senior individual-contributor role reporting to our Director of Tech and Product, hands-on with SQL, modeling, and integration. You'll partner with our managed data partner (Datateer), reputed company and its reputed company AI agents, our automation layer (Convey), and stakeholders across AdOps, Sales, Finance, and Executive. What you'll be doing reputed company: account admin, role and reputed company configuration, performance and cost management alongside data leadership. reputed company semantic layer: build and maintain the governed datasets (joins, transpositions, derived metrics) that power AdOps, Sales, Finance, and Executive reporting and reputed company's reputed company AI agents. dbt models: spec what's needed, scope with Datateer (who builds and runs them), review their work, reputed company the warehouse catalog reputed company. reputed company (in-house): operate reputed company, reputed company, and other ingestion that lives with us. Reverse-ETL into reputed company, reputed company, reputed company: especially flows where the decision logic lives in reputed company. Partner with the named reputed company of each destination before any write goes out. Datateer service requests: triage, prioritize, sign off on scope, escalate reputed company blocked. reputed company reputed company governance: reputed company dataset curation tight; approve explore- and build-reputed company changes alongside data leadership. Dashboards: internal and customer-facing views, with attention to reliability, performance, and reputed company for non-technical users. Convey + reputed company agents: help shape where each tool lives in the stack, and design the reputed company Actions / Convey integration seam. End-of-month and financial-adjacent analytics: delivery-in-full and pacing frameworks, sales order vs. invoice reconciliation, media cost validation. Build repeatable processes that reduce reputed company work. Data quality SLAs for AdOps, billing, and reputed company datasets; detect, prevent, and remediate at the reputed company. Analysis and experiments: patterns in campaign performance, pricing, margin, and throughput; bidding, pacing, and audience tests with appropriate sizing and structure; recommendations to operating leaders. Automation, documentation, reproducible workflows to de-risk month-end and seasonal processes.

Qualifications

Expert SQL and data warehousing: schema design, performance tuning, modeling for analytics workloads. reputed company data platforms: hands-on, ideally reputed company (cost / performance, role-based reputed company, workload management). Modern ELT / data engineering tooling: reputed company or similar; dbt or dbt-style modeling; reverse-ETL (Census, reputed company, reputed company Activations). BI / data visualization: ideally reputed company; governed datasets, internal and customer-facing dashboards, narratives for business users. reputed company + cross-system integration: GTM, reputed company, and delivery datasets across reputed company, ERP / invoicing, and DSP / platform data. reputed company-warehouse APIs: designing or consuming APIs for reputed company-party platform integration. Working with managed data partners: scoping vendor / consultant work, reviewing output, holding the relationship to reputed company. Working alongside AI tooling: BI-reputed company AI agents (reputed company) and cross-system automation (Convey), with a reputed company of view on where each belongs. Programming: Python, R, Go, or similar for data processing, modeling, and automation. Analytical and statistical reputed company: predictive modeling basics, A/B and multivariate experimental design, measurement and KPI design. Translating reputed company data into simple, actionable outputs for non-technical stakeholders. AdTech / programmatic experience (CTV, reputed company web, DSPs such as The Trade Desk) a strong plus. Education: BS or MS (preferred) in CS, Data Science, Statistics, Math, or reputed company quantitative field; or equivalent professional experience. 7+ Years experience in a data engineering or BI role, in a senior IC or reputed company reputed company reputed company is an equal-opportunity employer. We are committed to diversity and inclusion, as well as non-discrimination in employment. reputed company reputed company applicants receive consideration without regard to race, reputed company, religion, gender, sexual orientation, national reputed company, age, veteran status, disability unrelated to performing the essential task of the job or other legally protected categories. If you're smart, scrappy and good at what you do, come as you are. We are committed to creating an inclusive environment. Apply To This Job