Senior Marketing Data Engineer Job at Axelon Services Corporation in El Segundo

Job Title: Senior Marketing Data Engineer Please make sure you read the following details carefully before making any applications. 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 xrczosw 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