Sr Marketing Advanced Analytics

Sr. Marketing Advanced Analytics Data Engineer & Tableau

Remote in PST, MST

Start Date- 11 / 03 / 2025 - 11 / 02 / 2026

Client is seeking a Data Engineer with strong Tableau expertise to design, build, and optimize scalable, auditable data pipelines and deliver reliable data products. This role will support advanced analytics and business decision-making through high-quality data integration, validation, and visualization.

Key Responsibilities

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, data profiling, and anomaly detection.

Conduct deep-dive data mining to uncover patterns, inconsistencies, and actionable business opportunities.

Develop and maintain Tableau dashboards to ensure transparency and support 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 efficiency.

Document data lineage, pipeline logic, and metadata clearly and consistently.

Required Skills

Hands-on experience designing and maintaining scalable data pipelines with Databricks (Spark / Scala / Python / SQL) and Snowflake.

Strong SQL development skills for data extraction, transformation, and performance tuning.

Proven ability in data reconciliation, auditing, and anomaly detection across large datasets.

Experience troubleshooting Spark performance issues.

Expertise in Snowflake data loading and update patterns.

Proficiency in Tableau dashboard development, including parameters, performance optimization, and data-driven visualizations.

Solid understanding of the data validation lifecycle.

Preferred Skills

Familiarity with advanced data profiling, anomaly detection techniques, and predictive modeling.

Experience collaborating with business stakeholders to translate requirements into reliable data solutions.

Knowledge of data lineage documentation, pipeline logic, and metadata management practices.

Strong communication skills to present technical findings clearly to non-technical stakeholders.

Ability to work independently with minimal supervision while managing multiple priorities effectively.

Additional Candidate Prioritization Notes-

Candidates should demonstrate

hands-on experience

with Databricks (Spark / Scala / PySpark), Snowflake, SQL performance tuning, and Tableau dashboard integration.

Preference for profiles with

ETL pipeline ownership at scale , not limited to reporting or KPI dashboards.

Must show

2+ years in a recent role , indicating stability and long-term impact.

Profiles focused solely on BI / reporting (e.g., Tableau without engineering), or lacking core tools (Tableau, Snowflake, Databricks) are not suitable.

Frequent short-term contracts (6 12 months) without evidence of sustained pipeline ownership are discouraged.

Platform engineers without analytics or marketing context, and ML / AI researchers not focused on data engineering for analytics, are not a match.

Metasys Technologies is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identify, national origin, veteran or disability status.