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Marketing Data Engineer (Contract Talent)

Robert Half
Posted 20 hours ago, valid for a month
Location

San Ramon, CA, US

Salary

$52.4 - $79.33 per hour

Contract type

Full Time

Life Insurance
Disability Insurance

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Sonic Summary

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  • Robert Half is seeking a Marketing Data Engineer to join their Marketing department, focusing on cloud-based data architecture and integrations.
  • Candidates should possess a Bachelor's Degree in Computer Science or a related field and have at least 5 years of experience in data engineering or cloud platform management.
  • The role involves providing analytics infrastructure analysis, maintaining technical documentation, and managing API integrations between marketing platforms and Domo.
  • The typical hourly pay rate for this position ranges from $52.40 to $79.33, depending on experience and location.
  • Robert Half offers benefits for contract professionals, including medical, dental, and vision insurance, along with a 401(k) plan.

Who We Are

Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Marketing Data Engineer to join the Marketing department.

The Marketing Data Engineer focuses on the design, deployment, and hands-on management of the Global Analytics cloud-based data architecture and integrations. This role provides technical expertise in building and maintaining cloud-based data architecture, infrastructure, and API integrations that support BI applications and marketing analytics initiatives, evaluating current data and platform architectures to improve efficiencies, and analyzing projects needed to close the gap between current state and future business goals.

What You’ll Do

  • Provides marketing analytics infrastructure / process gap analysis and recommendations.

  • Conducts research on state of the art in marketing analytics technology.

  • Ensures that business processes, policies, and procedures are supported by proposed system solutions.

  • Ensures metadata accuracy and transparency.

  • Develops and maintains technical documentation for systems and processes.

  • Own and maintain the marketing GCP environment, ensuring pipelines are reliable, orchestrated (Cloud Composer / Airflow), well-structured, and monitored for failures.

  • Ownership includes the ability to make largely independent decisions on solution design, architecture, and best practices required to support marketing analytics outcomes.

  • Build and maintain API integrations between marketing platforms and Domo, such as ad platforms, survey tools and other connected systems.

  • Handle authentication, pagination, rate limiting, and error handling for all managed integrations.

  • Troubleshoot and resolve pipeline failures, proactively identifying opportunities to improve performance and reduce technical debt.

What You’ll Need

  • Bachelor’s Degree in Computer Science, Information Systems, Engineering or related course of study required or equivalent work experience. Related Master’s Degree a plus.

  • 5+ years (7+ years preferred) working experience in data engineering, architecture, or cloud platform management, strong experience with metadata management, master data management, and data governance.

  • Previous analytic work with business intelligence, corporate reporting metrics and dashboard systems, data warehousing, information infrastructure, and ETL processes.

  • Good communication skills – must be able to explain relatively complex analyses in ways that are understandable and actionable to marketing stakeholders, must be able to clearly articulate both strategic direction and tactical actions to Professional/Management Levels, IT team, and marketing stakeholders.

  • Detail oriented with excellent analytical ability, must be able to clearly work with marketing program owners to determine business needs and requirements and then translate that into research and reporting requirements for internal teams and external vendors.

  •  Ability to work independently and set priorities based on high level direction of the Director of Data Engineering in Global Marketing Analytics.

  • Excellent understanding of Python, SQL, Solid ETL processes experience.

  • Understanding of cloud-based information systems.

  • Proficiency in data management tools.

  • Solid database design and data maintenance skills.

  • Strong Project management skills and Presentation skills.

The typical hourly pay rate for this position is shown below and is negotiable depending upon experience and location.

$52.40 - $79.33

Benefits are available to contract/temporary professionals, including medical, vision, and dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

Robert Half Inc. is an Equal Opportunity Employer. M/F/Disability/Veteran

As part of Robert Half’s Corporate Services facility employment process, any offer of employment is contingent upon successful completion of a background check.

Our recruiters use their expertise and may utilize AI to help with their evaluation of candidates.

Robert Half is committed to being an equal employment employer offering opportunities to all job seekers, including individuals with disabilities. If you believe you need a reasonable accommodation in order to search for a job opening or to apply for a position, please contact us by sending an email to HRSolutions@roberthalf.com or call 1.855.744.6947 for assistance.

In your email please include the following:

  • The specific accommodation requested to complete the employment application.

  • The location(s) (city, state) to which you would like to apply.

For positions located in San Francisco, CA: Robert Half will consider qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

For positions located in Los Angeles County, CA: Robert Half will consider for employment qualified applicants with arrest or conviction records in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.




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