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.
Build and maintain batch data pipelines ingesting from Workday and legacy systems into a medallion lakehouse on Azure Databricks and Microsoft Fabric.
Develop transformation logic across Bronze/Silver/Gold layers using Spark, Python, and SQL, and implement data-quality checks.
Work within a federated architecture and Unity Catalog security model, contributing to documentation and code reviews.
CampusWorks is a consulting firm that helps higher education institutions leverage technology and managed services to drive transformation and student success. Founded in 1999, it is a large, virtual company with a culture that values work-life balance and employee appreciation.
Design and develop scalable data pipelines using Azure Data Factory and Azure Databricks.
Work with large datasets to ensure data quality, reliability, and performance.
Collaborate with cross-functional teams to translate requirements into technical solutions.
Talan is an international consulting group specializing in innovation and business transformation through technology. With over 7,200 consultants in 21 countries and a turnover of €850M, we are committed to delivering impactful, future-ready solutions.
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 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.
Own and evolve notebooks across the full medallion architecture, from raw ingestion through a fully modeled dimensional layer.
Design and implement dimensional modeling artifacts such as facts, dimensions, and slowly changing dimensions for downstream business intelligence.
Serve as the primary technical reference, reviewing pull requests, mentoring team members, and proposing architectural improvements.
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 25 countries, we foster a collaborative culture that accelerates innovation in Agentic SDLC, Application modernization, Data & AI, Martech, and Business strategy.
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.
Design and deliver complex data platform components or migration solutions on AWS using Databricks.
Troubleshoot performance, scalability, and reliability issues in cloud-native data environments.
Communicate technical topics clearly to stakeholders and produce high-quality documentation.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact. As a fully remote global company with employees in Canada, the United States, and Latin America, they celebrate diverse cultures and foster a community of technological curiosity.
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 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, 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, build, and maintain scalable data pipelines and ETL/ELT processes supporting cloud-based data environments for the Department of Veterans Affairs.
Implement patient-matching and record-linkage logic across multiple identifiers to ensure accurate, deduplicated Veteran data across disparate source systems.
Harmonize datasets across VA facilities, resolving structural and format inconsistencies to produce analysis-ready data assets.
Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Founded in 2012, the company employs over 300 people nationwide and focuses on human-centered services.
Own end-to-end delivery of data pipelines and data products from design through deployment and production support.
Develop and optimize scalable data pipelines using Azure Databricks, DBT, and Python.
Support large-scale data migrations from Snowflake to Azure Databricks and manage infrastructure with Terraform.
Coforge is a global IT solutions company that provides digital services and solutions to enterprises. They employ thousands of professionals worldwide and focus on innovation and collaboration.
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.
Structure, integrate, and maintain scalable data solutions for credit origination, monitoring, and risk analysis.
Build and evolve the credit analytics layer including datamarts, indicators, and reusable components.
Implement data quality, governance, and observability controls while ensuring compliance with LGPD.
Jobgether is an AI-powered recruitment platform that connects candidates with job opportunities using an objective matching process. It operates with a small team, focusing on efficiency, fairness, and data privacy.
Design and architect scalable Databricks-based solutions for enterprise clients.
Lead end-to-end cloud data platform implementations across AWS and Azure.
Provide technical leadership and guidance to data engineering teams.
Cuesta Partners delivers data engineering solutions for enterprise clients. They are a consulting firm with a collaborative culture focused on technical excellence and team growth.
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.
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.
Provide first-level technical support to application teams for Databricks and cloud requests.
Execute automation and infrastructure as code to provision Azure resources and Data Landing Zones.
Collaborate with cross-functional teams to improve cloud support operations and documentation.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It uses technology to review applications and share shortlists with employers, who manage the hiring process.
Data Ingestion & Pipeline Reliability: Ensuring continuous, accurate data availability by monitoring and optimizing batch and real-time streaming pipelines.
Data Mart Delivery & Business Modeling: Delivering query-ready Gold-layer data marts by partnering with Data Analytics and Data Science teams.
Data Quality Frameworks & Precision: Maintaining flawless data integrity by writing and deploying automated data quality test suites.
Trupanion is a leading provider of medical insurance for cats and dogs in North America, helping pet owners budget and care for their pets. The company offers a collaborative, casual, and pet-friendly environment where everyone is encouraged to be themselves.