Senior Data Engineer - Databricks / Data Vault

LURECRUITER; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Paid time off

Remote work from LATAM

High-impact role

Long-term engagement

Structured onboarding

Job summary

LURECRUITER is seeking a Senior Data Engineer to design, build, and operate production data pipelines within a client’s internal framework. You’ll work as an individual contributor embedded in the client’s data engineering team, reporting to the engineering leader.

You will handle ETL, ingestion and orchestration, leveraging Databricks on Azure and applying Medallion and data vault patterns. Collaboration with cross-domain engineers and adherence to the client’s data quality framework are

Qualifications

• 5+ years of data engineering experience.
• Experience inside a custom or internally extended data framework.
• Advanced SQL — CTEs, window functions, complex joins, business-metriclogic.
• ETL, ingestion & orchestration in production — building pipelines with retry/backoff, schema evolution handling, dependency management, and observability.
• Cloud data platform experience — Databricks preferred (Delta Lake, Unity Catalog, Workflows). Snowflake or BigQuery accepted as transferable.
• Medallion architecture — Bronze/silver/gold layered transformations in production.
• Data vault dimensional modeling — Hub/link/satellite patterns specifically, not just general dimensional modeling.
• Software engineering mindset for data — Modular code, design reviews, CI/CD, version control, agile.
• Full professional English — You will pair regularly across the data team and with business stakeholders.

Responsibilities

• Build and operate data pipelines from source (Oracle ERP, MS SQL Server) into the lakehouse.
• Work in Databricks on Azure with Unity Catalog as the governance layer.
• Apply Medallion architecture (bronze/silver/gold) and data vault dimensional modeling.
• Incorporate the client's internal data quality framework into every new pipeline.
• Use Azure DevOps for deployments and ticket management.
• Pair with engineers from other data domains on combined-data use cases.

Skills

Advanced SQL

ETL

Ingestion

Orchestration

Databricks

Azure DevOps

Medallion architecture

Data vault modeling

CI/CD

Cloud platforms

English communication

Tools

Databricks

Unity Catalog

Delta Lake

Workflows

Azure DevOps

Snowflake

BigQuery

Job description

As a Senior Data Engineer, you will design, build, and operate production data pipelines inside the client's internal framework — a customized layer on top of an open-source data framework.

This is a pipeline-weighted role — ETL, ingestion, and orchestration are the core; transformation direction is provided through requirements.

You will work as an individual contributor (no direct reports), embedded into the client's data engineering team, reporting to the team's engineering leader.

What you'll work on:

• Build and operate data pipelines from source (Oracle ERP, MS SQL Server) into the lakehouse.


• Work in Databricks on Azure with Unity Catalog as the governance layer.


• Apply Medallion architecture (bronze/silver/gold) and data vault dimensional modeling.


• Incorporate the client's internal data quality framework into every new pipeline.


• Use Azure DevOps for deployments and ticket management.


• Pair with engineers from other data domains on combined-data use cases.

Qualifications:

• 5+ years of data engineering experience.


• Experience working inside a custom or internally extended data framework.

MS SQL Server. Oracle ERP as a source system. Azure DevOps.

• Advanced SQL — CTEs, window functions, complex joins, business-metriclogic.


• ETL, ingestion & orchestration in production — Building pipelines with retry/backoff, schema evolution handling, dependency management, and observability.


• Cloud data platform experience — Databricks preferred (Delta Lake, Unity Catalog, Workflows). Snowflake or BigQuery accepted as transferable.


• Medallion architecture — Bronze/silver/gold layered transformations inproduction.


• Data vault dimensional modeling — Hub/link/satellite patterns specifically, not just general dimensional modeling.


• Software engineering mindset for data — Modular code, design reviews,CI/CD, version control, agile.


• Full professional English — You will pair regularly across the data team and with business stakeholders.

Why apply:

• Remote — work from anywhere in LATAM


• USD compensation.


• Paid time off


• High-impact role


• Long-term engagement with stability and ownership


• Structured 30/60/90 onboarding plan that sets you up for success

Originally posted on Himalayas