Senior Marketing Data Engineer

Axelon Services Corporation; El Segundo (CA); Remote; USD 100,000 - 125,000; Full time

Job summary

A leading data solutions firm is seeking a Senior Marketing Data Engineer to design and maintain scalable data pipelines. This remote role requires strong experience with Databricks, SQL, and Snowflake, along with the ability to conduct data validation and develop insightful dashboards. The ideal candidate should have a proven ability to optimize data processes and document methodologies clearly.

Qualifications

• Hands-on experience with Databricks and Snowflake.
• Strong SQL skills.
• Experience with data reconciliation and anomaly detection.

Responsibilities

• Design and maintain scalable data pipelines.
• Conduct data mining and analysis.
• Develop dashboards for decision-making.

Skills

Data pipelines using Databricks

SQL development

Data reconciliation

Troubleshooting Spark performance

Snowflake data loading

Tableau dashboard development

Data validation lifecycle

Documentation skills

Tools

Databricks

Snowflake

Tableau

Job description

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