Sr. Data Engineer / Sales Engineering
Skills
- Expertise with pipeline management tools like Airflow or Luigi.
- Experience with DevOps tools including Terraform, Kubernetes, and Docker.
- Proficiency in scripting languages like Python and Ruby and compiled languages such as Java and Scala.
- Familiarity with databases including BigQuery, Snowflake, PostgreSQL, and others.
- Strong storytelling, communication, and client-facing skills.
Responsibilities
- Design and build scalable data pipelines and architectures supporting cross-channel personalization.
- Serve as a strategic advisor during client pitches, workshops, and discovery phases.
- Translate complex data ecosystems into business-focused presentations for diverse stakeholders.
- Collaborate with marketing, client engagement, and analytics teams to define and implement CDP-enabled personalization strategies.
- Advise on scalable CDP implementations such as Salesforce Data Cloud and Segment.
Education
- Bachelor’s degree or higher in Computer Science, Information Technology, or related field preferred.
Benefits
- Healthcare, dental, and vision coverage.
- 401k plan with matching.
- Paid time off and company holidays.
- Parental leave.
Average salary estimate
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
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