Senior Data Engineer

Talent Groups is seeking a Senior Data Engineer for a fully remote contract opportunity with a strong possibility of extension and potential conversion to full time employment. This role is ideal for a hands on engineer who can quickly take ownership of production data pipelines and deliver results with minimal oversight., The Senior Data Engineer will design, build, and optimize data infrastructure supporting marketing performance, revenue reporting, and business intelligence. The ideal candidate brings strong expertise in Python, SQL, dbt, BigQuery, and Google Cloud Platform (Google Cloud Platform), along with experience integrating third party data sources and maintaining business critical production systems., * Design, develop, and optimize ETL and ELT pipelines that integrate revenue, advertising costs, and website activity into BigQuery.

• Build Python based data ingestion services using Cloud Run, Cloud Functions, and other Google Cloud Platform services.
• Develop and maintain dbt models supporting revenue reporting, lead tracking, marketing analytics, and business intelligence.
• Integrate third party data through REST APIs, SFTP, webhooks, and scheduled file feeds.
• Maintain marketing data integrations with Google Ads, Meta, Microsoft Ads, Funnel.io, and Google Search Console.
• Partner with Finance, Marketing, Analytics, and business stakeholders to support revenue reconciliation, executive reporting, and Looker dashboards.
• Monitor production pipelines, troubleshoot failures, resolve data discrepancies, and improve data quality.
• Implement secure data handling practices, including protection of personally identifiable information, credential management, and access controls.
• Improve infrastructure through automation, service consolidation, version control, and continuous integration and deployment enhancements.
• Maintain technical documentation and collaborate through JIRA and established development workflows.

• Strong hands on Python development experience building data pipelines, ingestion services, and automation tools.
• Advanced SQL skills, including complex queries, data transformations, and performance optimization.
• Experience with BigQuery or comparable cloud data warehouse platforms.
• Hands on experience with dbt models, testing, documentation, and data transformations.
• Practical Google Cloud Platform experience with services such as Cloud Run, Cloud Functions, Cloud Scheduler, Pub/Sub, Secret Manager, and IAM.
• Proven experience building, maintaining, and troubleshooting production ETL and ELT pipelines.
• Experience integrating REST APIs, SFTP, webhooks, and third party data sources.
• Familiarity with Looker, Git, continuous integration and deployment tools, and JIRA.
• Strong understanding of data validation, deduplication, reconciliation, attribution, and production data reliability.
• Ability to work independently, troubleshoot complex issues, and deliver results with minimal supervision., * Experience with Google Ads APIs, Meta Conversions API, Microsoft Ads, or offline conversion tracking.
• Knowledge of performance marketing, lead generation, affiliate marketing, and conversion attribution.
• Experience with LookML, Funnel.io, or Google Search Console.
• Understanding of personally identifiable information protection, CCPA, GDPR, and privacy related data handling.
• Experience modernizing legacy data infrastructure and improving cloud deployment processes.