Senior Data Engineer – Marketing Analytics
Location: Remote; optional onsite work in Menlo Park, CA
Contract: 12-month W-2 contract
Pay: $75–$85 per hour, based on experience
Employment Partner: Russell Tobin
Russell Tobin is supporting a leading global technology organization in hiring a Senior Data Engineer to help build scalable data pipelines, automated reporting solutions, and analytics infrastructure for a high-impact growth marketing team.
This role is ideal for a data engineering professional who also has strong analytical and stakeholder-facing capabilities. The successful candidate will have experience working with very large datasets, building production-level pipelines, and using SQL to turn complex data into actionable insights.
Responsibilities
- Collaborate with growth marketers, program managers, analytics teams, and cross-functional stakeholders to define data and reporting requirements.
- Design, build, and maintain scalable data pipelines that support marketing campaigns and analytics initiatives.
- Develop and optimize ETL processes for data extraction, ingestion, transformation, and processing across multiple data sources.
- Build automated reports, dashboards, and recurring analyses that enable data-driven decision-making.
- Write high-quality, efficient SQL queries to retrieve, transform, and analyze large datasets.
- Create reporting and visualization solutions using Tableau or similar business intelligence platforms.
- Automate campaign reporting and improve the scalability and reliability of marketing analytics workflows.
- Identify, investigate, and resolve data integrity, data quality, and reporting accuracy issues.
- Guide team members and stakeholders on data pipeline standards, architecture, and engineering best practices.
- Independently manage projects, communicate timelines, set expectations, and drive work through completion.
- Partner with technical and nontechnical stakeholders to translate business questions into scalable data solutions.
Required Qualifications
- Bachelor’s degree in a STEM or STEAM-related field.
- 5+ years of professional experience using SQL with technologies such as Oracle, Vertica, Hive, MySQL, or similar platforms.
- Proven experience building, operating, and optimizing large-scale data pipelines.
- Experience processing datasets containing millions of rows from multiple sources.
- Strong experience with ETL design, implementation, automation, and maintenance.
- Experience building automated reports and dashboards using Tableau, MicroStrategy, or similar business intelligence tools.
- Professional experience using Python and/or R for data processing and analysis.
- Experience working within an AI-focused organization or using AI tools in a professional data or analytics environment.
- Ability to independently design pipeline solutions and guide teams on engineering best practices.
- Demonstrated leadership, initiative, and ownership of technical projects.
- Strong written, verbal, and interpersonal communication skills.
- Ability to work effectively in a fast-changing environment with evolving or ambiguous requirements.
Preferred Qualifications
- Experience supporting growth marketing, campaign analytics, or marketing operations teams.
- Background working within a large technology company or another organization managing high-volume, complex datasets.
- Experience combining data engineering expertise with business analysis and data visualization.
- Proven ability to self-manage projects, establish timelines, and set clear stakeholder expectations.
- Experience partnering directly with marketers, program managers, analysts, and other business stakeholders.
Ideal Candidate Profile
The ideal candidate is a senior-level data engineer with strong analytical instincts. This person has a demonstrated history of building scalable, production-level pipelines, writing advanced SQL, and supporting business teams through automated reporting and actionable analysis.
Candidates whose experience is limited to small datasets, ad hoc reporting, or small-scale pipelines are unlikely to be successful in this position. Large-scale data engineering experience is essential.
What Success Looks Like
- Reliable and scalable pipelines that support high-volume marketing initiatives.
- Accurate, automated dashboards and reporting workflows.
- Improved data quality and faster resolution of reporting discrepancies.
- Clear technical guidance and best practices for partner teams.
- Strong ownership of projects from requirements gathering through delivery.
Interview Process
The interview process is expected to include up to three stages:
- Initial screening
- Technical interview
- Cross-functional interview with a growth marketing stakeholder
Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.
Equal Employment OpportunityRussell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law.
Fair Chance EmploymentRussell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances.
AccommodationsWe are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us.
Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.
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