Remote Data Jobs · Databricks

Design, implement, and maintain optimal database schemas for relational (MariaDB) and NoSQL (MongoDB) databases. Monitor and tune performance across all platforms to ensure optimal performance. Implement access controls, encryption, and database hardening techniques. Support and optimize ETL pipelines between MongoDB, MariaDB, and Databricks. Troubleshoot incidents, resolve outages, and perform root cause analysis.

As a Senior Data Engineer, lead the design and development of robust data pipelines, integrating and transforming data from diverse data sources such as APIs, relational databases, and files. Collaborate closely with business and analytics teams, ensuring high-quality deliverables that meet the strategic needs of our organization. Expertise will be pivotal in maintaining the quality, reliability, security and governance of the ingested data.

Support the migration from Synapse to Databricks across multiple data streams. Design and implement scalable solutions for initial data load, data mart and consumption layer, and Reporting and Power BI integration. Collaborate with product and business teams to understand requirements and deliver data-driven solutions. Optimize data pipelines for performance, scalability, and reliability.

The Senior Database Administrator will manage and optimize enterprise-level databases. Responsibilities include ensuring high availability, security, and performance; managing Databricks workspaces; troubleshooting database issues; implementing performance tuning; and collaborating with data engineering teams for data ingestion and integration processes. They will also maintain compliance with company policies and HIPAA requirements.

Work on a variety of impactful customer technical projects inclusive of implementation, troubleshooting configurations, instilling best practices, and solutioning MVPs and long term solutions to customer specific requirements. Consult on architecture and design and ensure our most strategic enterprise customers are adopting the product. Provide critical feedback to dbt Labs product and engineering teams to improve and prioritize customer requests.

Looking for a highly skilled Databricks Data Architect to lead the design, development, and implementation of a modern hub-and-spoke data platform for a leading retail company. This platform will serve as the foundation for advanced analytics and real-time personalization, enabling data-driven decision-making and customer engagement. The role involves working closely with business stakeholders, data engineers, and product teams to design scalable, secure, and efficient data solutions on Databricks and the modern data stack.

Novaprime is hiring a Staff Data Engineer to architect, build, and operate our Databricks-centric lakehouse on AWS. You will own the data lifecycle—streaming and batch ingestion, modeling, governance, quality, observability, and cost/perf—using Delta Lake, Delta Live Tables, and Databricks Workflows. This role involves setting technical direction, delivering mission-critical pipelines, mentoring engineers, and directly driving analytics.

Be part of the Data Engineering team while supporting the Data Science team, where your role involves delivering clean, reliable, and automated data processes that support financial decision-making by building and optimizing data pipelines from multiple source systems into Azure Databricks, ensuring accuracy, scalability, and alignment with enterprise architecture standards.

You will oversee the entire lifecycle of data products, from ideation and development to deployment and optimization, supporting the consolidation of corporate data, systems, and processes on a global scale. This role requires technical expertise, strategic thinking, and leadership skills to drive the successful execution of data-driven initiatives.