Remote Data Jobs • Databricks

The Director of Data Strategy & Solutions (DSS) will serve as the strategic leader responsible for defining, implementing, and optimizing VytleOne’s enterprise data architecture, ensuring data is governed, discoverable, trusted, and aligned to business priorities. This role involves leading the enablement of next-gen analytics for pharmacy services and 340B programs using cloud-based infrastructure and AI-forward capabilities.

As a Data Engineer, you will analyze, design, and implement data pipeline features and infrastructure improvements. You will write efficient, well-tested code and conduct unit and integration testing. You’ll build and optimize data ingestion and ETL/ELT processes. You’ll participate in end-to-end project delivery—from ideation to production. You’ll collaborate cross-functionally with security and product teams to embed security and compliance best practices into development processes.

This is a contract opportunity with potential to extend or convert and seeking a Mid-Level Data Engineer to support data design and delivery within Risk Assurance Data and System projects. The ideal candidate is an independent, technically adept professional who can identify and lead data engineering initiatives. You will work closely with data analysts, IT teams, and business partners to ensure optimal data pipeline and model development.

Swiftly is searching for a Data Engineer to join their high functioning team. This role will help scale our Retailer Platform that spans multiple technologies using Azure, Databricks, and API development. The platform is an end-to-end system that ingests retailers' raw data and serves it to multiple teams downstream, including the live, production mobile applications.

Serve as the technical lead and architect for data platform modernization efforts, with a strong emphasis on Databricks implementation and Informatica-to-Databricks migration. Design and deliver scalable data solutions covering ingestion, transformation, orchestration, and analytics using tools like Azure Data Factory, Azure Data Lake, Synapse, and Azure Databricks.

Focuses on data integration, engineering, modeling, and business intelligence, with an emphasis on transforming legacy systems into a cloud-native stack using Databricks, dbt, and other cloud platforms. Plays a key role in developing and maintaining scalable, performance-optimized BI solutions and data pipelines, enabling self-service analytics and driving actionable insights across the organization. Ensures the quality and reliability of data.

You’ll play a crucial role in shaping our data infrastructure, design, build, document and maintain data pipelines to support our Data Warehouse and our Data Acquisition (IoT data) systems. You’ll uphold and contribute to the creation of standards for quality and security. This role is perfect for a data professional passionate about sustainability and eager to make a significant impact.

As a Cloud Data Engineer your primary responsibility will be assisting with the implementation of Azure native data solutions to support business use cases. This role will be responsible for developing, optimizing, and standardizing data pipelines. You will need a blend of problem-solving and innovation skills to resolve a wide variety of technical challenges, showcasing good understanding of database, ETL/ELT and cloud concepts.

Work with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions. Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries and design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs.

Drive Data Platform Strategy & Implementation with a focus on Azure Cloud to ensure that the organization’s data infrastructure is scalable, reliable, and aligned with business objectives. Oversee the design, implementation, and ongoing optimization of the data platform, leveraging Databricks, Azure technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, CosmosDB and Azure SQL Database.