Design and build scalable data pipelines using PySpark and Databricks.
Collaborate with international teams to translate data needs into technical solutions.
Ensure data quality, monitor performance, and uphold engineering standards.
Our partner is a global technology company that delivers data solutions for leading brands. They offer a collaborative, international engineering culture and are recognized as an award-winning workplace.
Collaborate closely with data leaders to drive sales, recruiting, account management, consulting, and operational excellence.
Act as a Databricks SME, supporting business development and guiding clients through best practices in architecture, data engineering, and scalable analytics.
Provide technical and architectural guidance on Databricks, modern data platforms, and cloud-native solutions to both clients and team members.
Slalom is a purpose-led, global business and technology consulting company that helps organizations deliver practical, end-to-end solutions for meaningful impact. With over 13,000 employees across 43 markets and 6 countries, they are consistently recognized as a great place to work, including being one of Fortune’s 100 Best Companies to Work for seven years running.
Design and build a centralized Incident Management Platform that connects production systems, operational tools, and cloud-based data infrastructure.
Develop robust integrations and data pipelines using Databricks, AWS, APIs, and AI-powered agents to streamline incident workflows.
Take end-to-end ownership of technical deliverables while collaborating with an international, distributed engineering team.
This position is listed on behalf of a partner company that manages all applications and next steps. The hiring team is multicultural, globally distributed, and remote-first, with an emphasis on technical excellence and collaboration.
Design, build, and maintain reliable data ingestion pipelines connecting enterprise systems like Banner/Ellucian ERP.
Develop scalable data transformations using medallion architecture, Databricks, Delta Lake, Python, and SQL.
Collaborate with analysts and stakeholders to design data models and trusted data products for institutional decision-making.
University of Idaho is Idaho's flagship land-grant research university and an R1 institution recognized for high research activity. With a mission centered on education, discovery, and service, it is transforming its data infrastructure to support analytics and AI across the institution.
Design and implement scalable Lakehouse and Delta Lake architectures across cloud and multi-cloud environments.
Develop and optimize ETL/ELT pipelines using Apache Spark, Structured Streaming, and Unity Catalog for governance.
Advise clients on Databricks best practices and support platform modernization and migration projects.
Devoteam is a tech consulting company that helps organizations modernize data architectures and accelerate digital transformation using the Databricks Data Intelligence Platform. As a large global company with thousands of employees, we foster a collaborative culture focused on innovation, autonomy, and customer success.
Design and implement Bronze, Silver, and Gold Delta tables on Microsoft Fabric with PAN-safe physical layouts.
Build Fabric Spark feature pipelines and idempotent MERGE DAGs for canonical Silver and risk-specific Gold tables.
Partner with senior engineers on capacity sizing, IaC, and Direct Lake semantic model performance.
Software Mind develops software solutions that make an impact for global companies, from tech giants to unicorns. The culture embraces openness, respect, grit, and combines cooperation with enjoyment.