$146K - 166K a year
Design, build, and maintain scalable data pipelines, conduct data validation and anomaly detection, develop Tableau dashboards, and collaborate with stakeholders to deliver reliable data products.
Hands-on experience with Databricks, Spark/Scala/Python/SQL, Snowflake, SQL tuning, data reconciliation, Spark troubleshooting, Tableau development, and strong documentation skills.
Job Title: Senior Marketing Data Engineer Location: Remote, PST, MST Pay Range: $70-80/hr JOB DESCRIPTION • Design, build, and maintain scalable and auditable data pipelines using Databricks (Spark/Scala/Python/SQL) and Snowflake • Own the data validation lifecycle—including source-to-target reconciliation using Oracle, data profiling, and anomaly detection • Conduct deep-dive data mining to uncover patterns, inconsistencies, and opportunities for business action. • Develop and maintain data visualizations and dashboards in Tableau to support transparency and decision-making • Implement data quality checks and automated alerting for pipeline failures, anomalies, and audit flags • Collaborate with analysts, scientists, and business stakeholders to gather requirements, and deliver reliable data products. • Optimize existing pipelines for performance, scalability, and operational simplicity • Document data lineage, pipeline logic, and metadata clearly and consistently Required Skills: • Hands-on experience designing and maintaining scalable data pipelines using Databricks (Spark/Scala/Python/Sql) and Snowflake • Strong SQL development skills for data extraction, transformation, and performance tuning • Ability to conduct source-to-target data reconciliation, auditing, and anomaly detection across large datasets • Proven experience troubleshooting Spark performance issues • Expertise in Snowflake data loading and update patterns • Tableau dashboard development, including parameters, performance optimization, and data-driven visualization • Solid understanding of data validation lifecycle • Ability to document pipelines, workflows, and requirements Preferred Skills: • Familiarity with advanced data profiling, anomaly detection techniques, and predictive modeling for identifying inconsistencies • Experience collaborating with business stakeholders to translate analytical requirements into reliable data products • Knowledge documenting data lineage, pipeline logic, and metadata management practices • Strong communication skills with the ability to clearly explain technical findings to non-technical stakeholders • Demonstrated ability to work independently with minimal oversight while managing priorities effectively
This job posting was last updated on 10/14/2025