Senior Data Engineer

Dallas

Si has recibido esta oferta laboral de parte de nuestros reclutadores, te pedimos que leas nuestro Aviso de Privacidad.

Client

Our client is a leading provider of capital and services to the mortgage and financial services industries. It offers attractive risk-adjusted returns while also protecting the existing portfolio and generating long-term value for its investors. The company's investment portfolio includes mortgage servicing-related assets, non-agency securities (and associated call rights), residential loans and other related opportunistic investments.

Project overview

Our team is currently developing a new Data Warehouse and maintain a several applications and services that are tightly integrated with each other and ETL processes support.

Position overview

We are looking for an experienced Senior Data Engineer to design, build, and maintain scalable data solutions in the Azure cloud.

The role is hybrid and requires the ability to visit the client’s office in Dallas, TX, preferably three times per week.

The estimated annual salary for this position is up to 124,000 USD.

Responsibilities

Develop and maintain data solutions on Azure and Databricks platforms
Contribute to new project development and support and maintenance of existing solutions
Implement data pipelines, transformations, and business logic in Databricks
Collaborate with cross-functional teams to ensure data accuracy, integrity, and optimal performance
Manage version control, deployments, and CI/CD processes using Git
Ensure adherence to best practices in data management and governance

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
Engineering or Mathematics background is preferred
5+ years of experience with SQL and Python
3+ years of experience with Azure cloud services
Strong hands-on experience with Azure SQL Server, Azure Data Factory (ADF), Azure Databricks (highlighted expertise), Azure Data Lake Storage (ADLS), Azure Key Vault, Azure Functions, and Logic Apps
3+ years of experience with Git
Experience deploying code using CI/CD pipelines

Nice to have

Experience with .NET
Microsoft Certified: Azure Data Engineer Associate
Databricks Certified Data Engineer (Associate or Professional)

Looking for Similar Opportunities?

Try AI chatbots with our ready-made prompt to discover similar roles that match your skills and interests.

We offer

Trabajo remoto

Ofrecemos una gran flexibilidad para trabajar desde distintas ciudades y países

Días off para descansar

Todos los colegas cuentan con días off para viajar, descansar y pasar tiempo con sus seres queridos

Feriados nacionales

Según el calendario oficial de cada país

Días off por maternidad y paternidad

Todos los colegas disfrutan de días off para compartir con su bebé

Certificaciones pagas

Impulsamos el desarrollo profesional y certificación de nuestros colegas

Plataforma de e-learning interna

Acceso ilimitado a cursos y entrenamientos

Clases de idiomas

Clases de inglés virtuales con profesoras altamente calificadas

Comunidades profesionales

Todos los colegas pueden participar de comunidades profesionales internacionales y regionales, en base a sus intereses

El paquete de beneficios puede variar según la región y el tipo de contrato.

Más buscadas

1 of 1

Senior Data Designer

BulgariaChipreLetoniaPoloniaRumaniaSerbiaUcrania

Accountable for creating high-quality Enterprise Data Warehouse data designs by understanding and documenting data sources, ingestion methods, mappings, modeling, and defining required data harmonization, calculations, derivations, and transformation logic

Python Data Engineer (Azure), Investment Management

EE.UU

We are seeking a Python Data Engineer (Azure) to join our team. In this role, you will be responsible for creating Microsoft Fabric pipelines and organizing ETL/ELT processes supporting a leading investment management company

Data Quality Engineer, Data Reliability Platform

ArmeniaBulgariaChipreGeorgiaLetoniaPoloniaRumaniaSerbia

The project includes implementing monitoring rules, building automated validation workflows, and supporting data teams with insights that help maintain data quality at scale