Remote Data Jobs · Databricks

We are looking for a Data Engineer that has experience in building data products using Databricks and related technologies. As a Data Engineer, you will play a crucial role in building cloud-based data lake and analytics architectures using AWS and Databricks and is proficient in Python programming for data processing and automation.This position will be Full-time and Remote position.

Ready to take on the challenge of building robust data solutions for cutting-edge Data & AI initiatives? As a Senior Data Analyst, you’ll be at the forefront of developing and optimizing data pipelines and architectures that enable Data & AI models to deliver transformative insights. Join us to shape the future of digital healthcare with data-driven innovation.

At Vattenfall, the mission is to help customers power their lives in climate smarter ways and enable a fossil free future. As a Data Engineer in the Data Science team, you will join a collaborative and skilled team that drives automation of real business cases through data-driven and Machine Learning-based intelligence. You will design, maintain, and monitor real-time and batch data pipelines, ingest and process external data feeds, and collaborate with Data Scientists and ML Engineers to build and maintain feature pipelines.

This role will take direction from the Information Team Director and will be responsible for contributing to the continuous advancement of a modern data lakehouse built to support a rapidly growing firm’s desire to democratize its data asset. Responsibilities include leading influence and consensus building efforts for recommended solutions and translating requirements into effective data models.

Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data. The role includes building an organic entity resolution framework and developing CI/CD pipelines and anomaly detection systems. You will be dreaming up solutions to largely undefined data engineering and data science problems.

We are looking for a talented and motivated person to act as a Data Developer, integrating with our team and contributing to the construction of scalable and intelligent solutions for large volumes of data. Responsibilities include designing, developing, and maintaining scalable and robust data pipelines, creating ingestion, transformation, and data modeling solutions using Databricks, Spark/PySpark, Cloudera, and Azure Data Factory (ADF).

Estamos em busca de uma pessoa Senior Data Engineer para atuar em um projeto internacional , na construção e evolução do ecossistema de dados, garantindo escalabilidade, qualidade e governança em todas as camadas. You will develop and maintain robust and scalable data pipelines and build and evolve data models using good engineering practices.

Responsible for designing, developing, and maintaining large-scale data ingestion and transformation pipelines on Databricks. A key contributor in implementing modern DataOps practices, ensuring data reliability, scalability, and alignment with business requirements through the integration of data contracts and automated quality checks. Design, build, and optimize data ingestion and transformation pipelines using Databricks and other modern cloud-based data platforms.

We are looking for a Data Engineer passionate about technology and with expertise in building and maintaining robust and scalable data pipelines. You will be a technical reference in Oracle and PowerCenter, ensuring quality, governance, and end-to-end performance in the team's pipelines and dimensional model. Expertise in Databricks and PySpark is a valuable differential.

You'll play a crucial role in developing and maintaining scalable data pipelines and infrastructure to drive data analytics and machine learning solutions for our clients. Design and create robust, scalable data pipelines using Databricks, Apache Spark, and SQL to transform and process large datasets efficiently. You will collaborate with data architects to design data models and architecture that support data analytics and machine learning applications.