Mid-Level Data Engineer

Mod Op is hiring a Mid-Level Data Engineer to build and operate Google Cloud Platform data pipelines and analytics, primarily for telecommunications data. The role produces reliable datasets for marketing and analytics teams and collaborates with senior engineers and marketing domain leads.

Responsibilities

• Build and maintain batch and scheduled data pipelines on GCP, moving data into BigQuery
• Write and optimize SQL for transformations, reporting datasets, and validation checks
• Write Python for data ingestion, automation, and data quality checks
• Support data migrations, including validating migrated data against the source system
• Work with telecommunications data, such as customer, product, and campaign records, and document how it is defined and used
• Connect pipeline outputs to marketing platforms, such as Salesforce, Adobe, and AJO
• Troubleshoot failed jobs and data issues, and keep runbooks up to date
• Contribute to team training and capstone projects on marketing domain knowledge

Skills

• 3 to 5 years of data engineering or analytics experience
• Working knowledge of GCP, especially BigQuery
• Strong SQL skills, including joins, window functions, and performance tuning
• Working Python skills for data pipelines and scripting
• Experience with telecommunications or similar subscriber data
• Experience with data migrations, such as Teradata to BigQuery
• Familiarity with Salesforce, Adobe, AJO, or other CRM and CDP platforms
• Interest in marketing analytics and campaign measurement
• Experience with Google Analytics or web-based marketing data

Benefits

• Access to low-cost, high-quality health care options
• Career development and personal development are intertwined

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