Responsibilities

• Understand key concepts of Marketing data and be ready to work in a fast environment
• Design, build, and maintain scalable batch and/or streaming data pipelines across multiple source systems (APIs, databases, Engineering Tools and event streams).
• Develop curated datasets and data models that support analytics, reporting, and operational use cases.
• Apply data architecture best practices Semantic Layer (ingestion patterns, schema evolution, data contracts, lake/warehouse organization).
• Implement data quality checks, observability/monitoring, lineage, and SLAs; troubleshoot pipeline issues end-to-end.
• Optimize data performance and cost (partitioning, clustering, file formats, query tuning, compute sizing)
• Collaborate with platform/security teams to implement access controls and safe handling of sensitive data
• Contribute to documentation, reusable frameworks, code standards, and CI/CD automation.
• Work closely with stakeholders to translate requirements into scalable, maintainable data solutions.

Requirements

• 5-7 years (or equivalent) experience in data engineering, analytics engineering, or backend development with significant data work.
• Advanced SQL and proficiency in at least one language (Python, Java, or Scala).
• Hands-on experience with orchestration and transformation tools (e.g., Datbricks, Snowflake, Airflow, dbt, Spark, or similar).
• Experience with cloud data ecosystems (AWS/GCP/Azure) and data storage/compute services (data lake/warehouse).
• Strong understanding of data modeling (dimensional modeling and/or other modern modeling approaches).
• Solid engineering practices: Git, code reviews, testing, CI/CD, and clear documentation.

Benefits

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance