Encora

Senior Data Engineer (Earnix)

Encora Colombia

IT Services and IT Consulting · 5,001-10,000 employees

17 h ago
Remote data-engineer Senior (5-10 yrs) Full-time Colombia
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About the role

Design, develop, and optimize production-grade data pipelines and governed data products using Azure Databricks and related technologies. Collaborate with cross-functional teams including actuarial, underwriting, and data science to provide technical leadership and maintain high-quality data models.

What they look for

Azure Databricks Dbt Python PySpark SQL Delta Lake Unity Catalog Azure CI/CD Data Engineering Earnix Data Modeling ETL/ELT Data Governance Cloud Storage Automated Testing

Requirements

Requires 7+ years of data engineering experience with strong proficiency in Azure Databricks, Python, PySpark, and SQL. Candidates should have advanced hands-on experience with dbt, CI/CD integration, and enterprise data governance practices.

Full description

Job Title: Senior Data Engineer (Earnix)

Key Skills: Azure Databricks, dbt, Python, PySpark, 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) (#006fu00000cVkwnAAC-1) with the following skill set.

Key Responsibilities

• Design, develop, and optimize production-grade data pipelines and governed data products using Azure Databricks, dbt, Python/PySpark, 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.

Required Skills & Qualifications

• 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 PySpark 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.

Preferred Skills:

• 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, FastAPI, REST APIs, or low-latency data services.

• Experience with Power BI and Terraform.

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.

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