Senior Data Engineer (Earnix)

Descripción de la vacante

Job Title: Senior Data Engineer (Earnix)

Key Skills: Azure Databricks, dbt, Python, Py Spark, SQL, Delta Lake, Unity Catalog, Azure, CI/CD, Data Engineering, Earnix

Experience: 7+ YOE.

Location: Costa Rica, Peru, Colombia, Bolivia

Mode: Remote

We at Coforge are hiring Senior Data Engineer (Earnix) (#006fu00000c Vkwn AAC-1) with the following skill set.

Key Responsibilities

Required Skills & Qualifications

Preferred Skills:

Posted On: 12-10-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

• Design, develop, and optimize production-grade data pipelines and governed data products using Azure Databricks, dbt, Python/Py Spark, SQL, and Delta Lake.
• Build conformed Silver and Gold data models for rating factors, model inputs, quote versions, policy premiums, and other insurance pricing and rating data.
• Implement scalable Lakehouse engineering practices, including data quality, observability, monitoring, governance with Unity Catalog, and performance optimization.
• Collaborate with pricing, actuarial, underwriting, Data Science, BI, Architecture, and Quality Engineering teams while providing technical leadership through design reviews, code reviews, and mentoring.
• 7+ years of Data Engineering experience, including strong recent experience with enterprise Databricks platforms.
• Strong production experience with Azure Databricks, Spark, Delta Lake, Workflows/Jobs, Databricks SQL, and platform optimization.
• Advanced hands-on experience with dbt models, macros, tests, documentation, incremental patterns, and CI/CD integration.
• Strong Python and Py Spark skills for transformations, reusable frameworks, integrations, validation, and automated testing.
• Advanced SQL skills, including query optimization, data reconciliation, and analytical data modeling.
• Strong experience with enterprise ELT/ETL, batch pipelines, incremental processing, data quality, and production support.
• Practical experience with Unity Catalog or comparable data governance, lineage, and access-control capabilities.
• Experience with CI/CD, Git, automated deployments, peer reviews, and environment promotion for data products.
• Strong Azure experience, including cloud storage, identity, security, and integration patterns.
• Proven ownership of production data pipelines from design through deployment, monitoring, and incident resolution.
• Experience with insurance pricing, policies, quotes, premiums, rating factors, underwriting, or actuarial data.
• Experience integrating with Earnix or another enterprise pricing/rating engine.
• Experience with Dataiku, MLflow, or governed machine-learning workflows.
• Knowledge of Kafka, Event Hubs, streaming patterns, Fast API, REST APIs, or low-latency data services.
• Experience with Power BI and Terraform.