What we offer
- Generous paid time off in your first year, with increases as tenure progresses.
- Up to 16 weeks of 100 percent paid parental leave after one year of employment.
- Paid sick time to care for yourself or family members.
- Education assistance and extensive training resources.
- Do Good Program with paid volunteer days and donation matching.
- Competitive 401(k) with company matching.
- Health and wellness benefits, including discounted Wellhub membership rates.
- Medical, dental, and vision insurance for you, spouse or partner, and dependents.
Responsibilities
- Translate marketing and measurement requirements into scalable technical solutions, recommending patterns that improve maintainability and speed of change.
- Own day to day platform health by monitoring scheduled workflows, investigating failures, restoring services, and preventing repeat issues.
- Define and track operational KPIs such as data freshness, latency, completeness, error rates, and cost; drive improvements against 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.
Requirements
- 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 with modern data warehouses and enterprise data platforms such as BigQuery, Snowflake, Redshift, or SQL Server.
- Comfort operating configuration driven workflows and orchestration frameworks (for example YAML based pipelines).
- Experience designing and supporting API based data integrations with robust authentication and error handling.
- Preferred experience with SQL based transformation frameworks such as 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 is an advantage.
- Proficiency in Microsoft Office Suites.
- Ownership mindset; problem solving orientation, curiosity, proactive collaboration with teams to drive success.
- Continuous growth mindset with ongoing learning through stakeholder relationships and formal programs.
- Where applicable, fluency in English and languages relevant to the working market.
Technologies
- SQL, Python
- BigQuery, Snowflake, Redshift, SQL Server
- dbt, Dataform
- YAML
- Google Cloud Platform (GCP)
- Microsoft Office Suite
Physical Requirements
- Ability to sit, speak, and operate a computer for extended periods
- Ability to handle pressure and resolve conflicts
- Ability to work day, evening, or weekend hours as needed
Notice to Applicants
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Equal Employment Opportunity (EEO)
Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal.
Accommodations Information for Applicants with Disabilities
Dun & Bradstreet is committed to providing reasonable accommodations to applicants with disabilities and disabled veterans. If you need an accommodation to search and apply for a career opportunity, please email AcquisitionT@dnb.com with the nature of your accommodation request and your contact information.
AI in Hiring
We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
