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.
Skills Required
- 7+ years of data engineering experience
- Strong recent experience with enterprise Databricks platforms
- Production experience with Azure Databricks, Spark, Delta Lake, Workflows or 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
- Experience with enterprise ELT/ETL, batch pipelines, incremental processing, data quality, and production support
- 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
- Strong Azure experience, including cloud storage, identity, security, and integration patterns
- 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 or 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
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
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