Factspan Inc

Factspan Inc

Senior Data Engineer

Johns Creek, Georgia, USA · Senior · Full-time

Sponsorship not specifiedDetected 42 days ago
PythonGitSQLMongoDBBigQueryGCPCloud PlatformsDockerTerraformCI/CDGraphQLRESTAirflowData EngineeringData ScienceMarketing Analytics

About the role

  • We are looking for a strong MarTech Data Engineer to support a large retail client s Marketing Technology and Customer Data ecosystem.
  • The role will focus on building scalable data pipelines, integrating marketing and customer data sources, enabling audience activation, supporting analytics use cases, and creating reliable data services using Google Cloud Platform, Python, SQL, MongoDB, and APIs.
  • The ideal candidate should have hands-on experience in cloud data engineering, API-driven integrations, data modeling, pipeline orchestration, and working with marketing, customer, campaign, loyalty, and digital engagement datasets.

Responsibilities

  • Design, build, and maintain scalable data pipelines on Google Cloud Platform using services such as BigQuery, Cloud Storage, Cloud Functions, Cloud Run, Pub/Sub, Dataflow, Dataproc, Composer, and related Google Cloud Platform services.
  • Develop robust Python-based data processing frameworks for ingestion, transformation, validation, enrichment, and publishing of MarTech data.
  • Write optimized SQL queries, stored procedures, and data models to support analytics, customer segmentation, campaign reporting, and downstream activation.
  • Build and manage integrations with internal and external systems using REST APIs, GraphQL APIs, webhooks, batch feeds, and event-based data exchange patterns.
  • Partner with MarTech, analytics, data science, product, and platform teams to understand business requirements and translate them into scalable data solutions.
  • Support data quality checks, reconciliation, monitoring, logging, alerting, and production issue resolution.

Requirements

  • Experience with MongoDB, document modeling, indexing, aggregation pipelines, and performance tuning.

Nice to have

  • Preferred Skills: Experience in retail, e-commerce, loyalty, customer identity, marketing analytics, campaign platforms, or CDP ecosystems.

Skills

  • Strong hands-on experience with Google Cloud Platform data engineering and cloud-native architecture.
  • Advanced Python programming skills for ETL, APIs, automation, orchestration, and data validation.
  • Strong SQL expertise, especially with BigQuery or similar cloud data warehouses.
  • Experience in retail, e-commerce, loyalty, customer identity, marketing analytics, campaign platforms, or CDP ecosystems.
  • Knowledge of CI/CD, Git, Airflow/Composer, Docker, Terraform, and production deployment practices.
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