Senior Data Engineer (Earnix)

Encora; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Coforge is seeking a Senior Data Engineer (Earnix) to design, develop, and optimize production-grade data pipelines using Azure Databricks, dbt, Python/PySpark, SQL, and Delta Lake.

You will build conformed Silver and Gold data models for pricing data and inputs, and collaborate with pricing, actuarial, underwriting, Data Science, BI, Architecture, and Quality Engineering teams while mentoring others. Remote work across LATAM is supported.

Qualifications

• 7+ years of Data Engineering experience in enterprise environments.
• Experience with Azure Databricks, Spark, Delta Lake, and Databricks workflows.
• Advanced Python and PySpark hands-on capabilities for transformations and testing.
• Advanced SQL skills including data modeling and optimization.

Responsibilities

• Design, develop, and optimize production-grade data pipelines and governed data products.
• Build conformed Silver and Gold data models for pricing data and inputs.
• Implement lakehouse practices with data quality, observability, and governance.
• Collaborate with pricing, actuarial, underwriting, Data Science, BI, Architecture, and QA teams; provide technical leadership.

Skills

Azure Databricks

dbt

Python

PySpark

SQL

Delta Lake

Unity Catalog

Azure

CI/CD

Data Engineering

Earnix

Tools

Earnix

Job 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.