Design and develop end-to-end data pipelines using Azure Data Factory and Synapse Pipelines.
Manage Azure Databricks workspaces and clusters, optimizing Spark jobs for performance.
Automate infrastructure and deployments with Bicep and Azure DevOps CI/CD pipelines.
Quisitive is a global Microsoft partner specializing in cloud transformation, data strategy, cybersecurity, and agentic AI. With significant growth since 2016, the company has expanded across the US, Canada, and India, fostering a culture of craftsmanship and collaboration.
Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory and serverless technologies.
Build and optimize complex Azure T-SQL solutions and develop automation frameworks with Python and API orchestration.
Own production pipeline reliability, enforce coding standards, and partner with US onshore leadership to translate business needs into technical solutions.
We are WPP Media, WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. We are a global collective with a culture of respect, belonging, and growth opportunities.
Design, develop, and maintain scalable data pipelines and ETL processes within Azure cloud environments.
Build and optimize data solutions using Azure Synapse, Azure Data Factory, and Power BI for analytics and reporting.
Ensure data quality, security, and performance while collaborating with stakeholders on healthcare initiatives.
VetsEZ provides IT solutions to federal government clients, focusing on healthcare systems. The company fosters a collaborative environment and is an equal opportunity employer.
Design, develop, and maintain scalable data solutions using Microsoft Azure ecosystem.
Build and optimize ETL/ELT pipelines with Azure Data Factory, Databricks, and Synapse.
Collaborate with stakeholders to turn diverse data sources into trusted, analytics-ready datasets.
Our partner is a company undergoing a large-scale digital transformation initiative. They are looking for an experienced data engineer to work with modern Microsoft Azure data technologies.
Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments.
Build and optimize Data Lake and Data Warehouse solutions to support analytics and business intelligence.
Implement data quality validation, monitoring, and governance to ensure reliable and trustworthy data.
CI&T helps large enterprises transform the potential of AI into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across more than 25 countries, they combine human expertise with AI to build scalable and innovative technology solutions.
Support and evolve existing SQL Server data platforms and ETL solutions.
Develop and maintain data pipelines using Azure Databricks, PySpark, and SQL.
Collaborate with BI teams to support Power BI and reporting platforms.
Miratech is a global IT services and consulting company that helps visionaries change the world. They retain nearly 1000 full-time professionals with a culture of relentless performance and over 99% project success rate.
Own end-to-end customer engagements, architecting multi-cloud deployments and writing production-grade code.
Build complex data pipelines and integrations across cloud data platforms like Snowflake and Databricks.
Mentor junior engineers, influence product evolution, and serve as a cross-functional catalyst across Sales, Product, and Engineering.
Matillion is the company behind Maia, the AI Data Automation platform that eliminates manual data engineering. They have teams across the UK, US, and India, and are driven by curious, energetic people who move fast and think big.
Assess the current Azure and Fabric data environment, defining target architecture and improvement roadmaps.
Design and implement modern ETL/ELT solutions using medallion architecture and metadata-driven frameworks.
Build scalable data pipelines integrating ERP, manufacturing, finance, and quality management systems.
The company is a partner organization undergoing a strategic data transformation to build a modern Azure and Microsoft Fabric data platform. It operates across finance, supply chain, manufacturing, and business intelligence, with a collaborative fully remote team.
Design and implement the integration layer between Microsoft Fabric and Azure services, including Azure API Management, Data Factory, Event Hubs, and Databricks.
Define data contracts, API standards, and integration patterns that enable development teams to self-serve against the platform.
Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related tooling, implementing data quality and governance practices.
Renaissance Benefits offers supplemental health and ancillary benefits for employer groups and individuals nationwide. We are a growing company headquartered in Indianapolis, focused on providing outstanding products and services.
Design, develop, and maintain data pipelines using Azure Databricks.
Build and optimize data transformations using PySpark and SQL in Databricks.
Implement and maintain Lakehouse architectures using Delta Lake.
Miratech helps visionaries change the world. We are a global IT services and consulting company with nearly 1000 full-time professionals and a culture of Relentless Performance.
Lead design and development of enterprise-grade data engineering solutions using Microsoft Fabric and Azure.
Design scalable data pipelines for batch and real-time processing, optimizing ETL/ELT processes with modern Azure tools.
Collaborate with architects, provide technical leadership, mentor data engineering teams, and ensure data quality, security, and governance.
HSO is an IT services company specializing in Microsoft technologies, including Fabric and Azure, for enterprise data and cloud transformation. They operate globally and emphasize a collaborative, skilled technology team.
Design, develop, and maintain Azure relational and non-relational databases and data lakes.
Build data transformation processes and optimize database performance, security, and access.
Collaborate with cross-functional teams and mentor other database engineers.
Integres, LLC is a Service-Disabled Veteran Owned Small Business (SDVOSB) providing high-quality, insightful IT solutions to its customers. We cultivate a corporate family culture that demands excellence and accountability while prioritizing work/life balance.
Design and maintain robust ETL/ELT pipelines using Azure and Databricks.
Collaborate with business and data science teams to operationalize AI/ML models.
Implement CI/CD practices, data governance, and quality controls.
The hiring company is a technology-driven organization focused on building scalable data ecosystems in a cloud-first environment. It fosters a collaborative culture with emphasis on innovation, continuous learning, and inclusive practices.
Design and evolve data environments within Microsoft Azure, building scalable pipelines and architectures.
Translate business needs into practical, data-driven technical solutions across engineering and data science.
Ensure data is organized, reliable, and accessible to support meaningful business decisions.
Jobgether is a platform that uses AI to match candidates with job opportunities, partnering with companies to streamline hiring. They focus on innovation and efficiency, offering a collaborative environment for professional growth.
Design and maintain large-scale cloud data infrastructure for healthcare applications.
Build efficient ETL pipelines, self-service tools, and microservices using Azure, Snowflake, and Databricks.
Collaborate with product owners and team leads to define efficient data pipelines and schemas.
Sigma Software is an IT solutions company delivering innovative technology to global clients across multiple industries. They foster a supportive environment with cutting-edge technologies and meaningful projects.
Design, build, and maintain scalable data platforms and solutions for business needs.
Optimize robust data pipelines using Databricks and modern frameworks.
Manage CI/CD pipelines for automated deployments and act as technical advisor.
Tieto Tech Consulting is a digital accelerator that combines business design with software engineering to drive innovation. With around 280 employees across Austria and Germany, they foster an open, collaborative culture and are part of a global team of 8,000.
Design and build robust data pipelines and warehouse models using Snowflake and modern data engineering tools.
Migrate legacy SQL Server systems and ETL processes to a scalable cloud environment.
Ensure data security, reliability, and compliance for sensitive healthcare data.
This company is a partner organization focused on modernizing healthcare data infrastructure and analytics. It provides a collaborative, fully remote environment with significant individual ownership and a focus on scaling modern data technologies.
You will act as a technical reference for Data & Analytics, providing support and guidance on technical needs and incidents.
You will collaborate on defining data platform components and validating architectures for new projects and use cases.
You will advise teams on best practices for architecture, security, governance, observability, and cost management.
Devoteam is a technology consulting firm that helps large organizations evolve their data architectures, cloud environments, and security practices. The company fosters a collaborative remote culture and invests in employee development through training, certifications, and performance reviews.
Design, build, and maintain reliable data pipelines using SQL and Python.
Develop and optimize data models in Snowflake or equivalent cloud data warehouses.
Diagnose and resolve data quality issues and support production operations.
Our partner company is seeking a data-focused engineer to build clean, reliable data solutions. They emphasize collaboration, continuous learning, and technical craftsmanship with a remote-first culture.