Senior Data Engineer, Marketing Analytics (R-19206)

Jacksonville - Florida - United StatesEmployee: Full Timesenior

MarketingMarketing Analytics

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Overview

Shape the Future with Dun & Bradstreet At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate.

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Shape the Future with Dun & Bradstreet

At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

The Senior Data Engineer, Marketing Analytics is the day-to-day technical owner of the Marketing Attribution and Measurement platform. The role is responsible for designing, operating, and maintaining reliable data pipelines that support marketing measurement, journey analysis, and outcome and revenue reporting.

This is a hands-on role balancing platform operations, pipeline development, and technical decision-making. The Senior Data Engineer partners closely with Marketing, Analytics, and Technology teams to ensure data outputs are accurate, explainable, and usable in real business decision-making.

Translate marketing and measurement requirements into scalable technical solutions, recommending implementation patterns that improve maintainability and speed of change.

Own day-to-day platform health by monitoring scheduled workflows, investigating failures, restoring service, and preventing repeat issues.

Define and track operational KPIs such as data freshness, latency, completeness, error rates, and cost; drive improvements against agreed SLAs.

Maintain runbooks and production support processes, including release readiness and incident response, aligned with platform team practices.

Design, build, and maintain scalable ELT/ETL pipelines that ingest and standardize marketing and revenue data into analytics-ready datasets.

Implement and operationalize automated data quality controls, including validation checks, reconciliation routines, and anomaly detection.

Own the platform intake process by triaging requests, proposing approaches, and communicating tradeoffs between accuracy, speed, and complexity.

Partner with security, governance, privacy, and compliance stakeholders to ensure pipelines meet access control and data handling expectations.

Bachelor’s degree in Computer Science, Mathematics, Data Science or related field

8+ years of experience in data engineering, analytics engineering, or data platform roles, including hands-on ownership of production pipelines.

Strong experience with SQL and Python, including data modeling across structured and semi-structured datasets.

Experience working with modern data warehouses and enterprise data platforms (e.g., BigQuery, Snowflake, Redshift, SQL Server).

Comfort operating configuration-driven workflows and orchestration frameworks (e.g., YAML-based pipelines).

Experience designing and supporting API-based data integrations with robust authentication and error handling.

Preferred experience with SQL-based transformation frameworks (e.g., dbt or Dataform).

Familiarity with marketing measurement domains such as event tracking, campaign attribution, conversions, and revenue reconciliation.

GCP Professional Data Engineer, Cloud Architect, Cloud Database Engineer, or Cloud Developer certification an advantage.

Proficiency in Microsoft Office Suites Skills

Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.

Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.

Where applicable, fluency in English and languages relevant to the working market.

Ability to sit, speak and operate telephone and/or computer for long periods of time

Ability to handle pressure, stressful conditions, and conflict resolution

Ability to work day, evening and/or weekend hours as needed