[Remote] Sr. Data Engineer

Note: The job is a remote job and is open to candidates in USA. Dentsu is a global marketing and advertising agency, seeking a passionate Identity Data Engineer. The role involves working with PII-class data, enhancing matching engines, and collaborating with cross-functional teams to deliver reliable, scalable solutions.ResponsibilitiesDesign, build, and maintain Snowflake-based pipelines that produce and refresh our core consumer and household identity assets on a regular cadenceWrite complex SQL and Python to transform, deduplicate, and enrich identity data at scale — including direct work with PII fields such as names, addresses, emails, and phone numbersInvestigate data anomalies and quality issues at a record level, tracing match decisions back to source signals and surfacing root causesBuild and maintain data models that represent consumer and household identity linkage across multiple input sourcesPartner with senior engineers and data scientists to enhance our AI-assisted matching engine — contributing to feature design, scoring logic, model evaluation, and threshold tuningImplement and test matching algorithm improvements — both AI-driven and rule-based — and measure their real impact on precision, recall, and overall asset qualityBuild evaluation tooling: ground-truth comparisons, match quality dashboards, and regression detection across engine versionsHelp drive the evolution of our matching pipeline toward more intelligent, AI-augmented identity resolution, actively using AI tools as part of your day-to-day engineering workflowWork cross-functionally with Data Science, Product, and downstream engineering teams to translate identity requirements into reliable, scalable solutionsParticipate in code reviews and architectural discussions; apply engineering best practices across the full delivery lifecycle — design, implement, test, and deploy via CI/CDDocument data models, pipeline logic, and algorithm decisions clearly for both technical and non-technical audiencesSupport QA processes and on-call responsibilities for production identity asset pipelinesBuild automated validation frameworks and quality tracking pipelines that continuously monitor asset health — including data completeness, match consistency, and anomaly detection — and surface results through clear, actionable reportingSkills4+ years of data engineering or software engineering experience, with a focus on data-intensive systemsStrong Python skills — you write clean, well-structured code and are comfortable building data processing logic from scratchDeep Snowflake fluency: data modeling, complex querying, Streams and Tasks, performance tuning, and preferably Snowpark for Python-native workloadsStrong SQL fundamentals and comfort working with large, messy, real-world datasets — you know how to interrogate data and know when not to trust itSome experience or genuine curiosity around identity matching, deduplication, record linkage, or data quality at scaleComfort working with PII-class data responsibly, with awareness of data governance and privacy best practicesFamiliarity with version control (Git), Agile delivery, and CI/CD pipelinesComfort applying AI tools in day-to-day engineering work — including prompt engineering, LLM-assisted data processing, and AI-augmented pipeline logicHands-on exposure to matching algorithms — deterministic, probabilistic, or ML/AI-based — and experience evaluating or tuning their performanceExperience building agentic workflows and working with MCP serversSome Java experience; comfort with JVM-based tooling is a plusFamiliarity with consumer or household identity signals: name, address, email, phone, and cross-source linkageCloud experience, preferably AWS; Azure or GCP welcomeUnix/Bash comfort for scripting and day-to-day environment workBenefitsMedical, vision, and dental insuranceLife insuranceShort-term and long-term disability insurance401kFlexible paid time offAt least 15 paid holidays per yearPaid sick and safe leavePaid parental leaveDentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies.Company OverviewWe are dentsu. It was founded in 1968, and is headquartered in London, England, GBR, with a workforce of 10001+ employees. Its website is https://www.dentsu.com.