[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a CTV‑first managed service partner specializing in programmatic Connected TV advertising. As a Senior Data Engineer, you will manage the reputed company data warehouse and collaborate with various stakeholders to ensure data reputed company and performance while delivering insightful analytics.
Responsibilities
- 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
Skills
- 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
- 7+ Years experience in a data engineering or BI role, in a senior IC or reputed company reputed company
- 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
Benefits
- Bonus eligibility
- Comprehensive benefits
Company Overview