Build end-to-end data products using Databricks, Delta Lake, SQL, Python, and PySpark.
Design and maintain batch, streaming, and near-real-time pipelines with Kafka and event-driven architectures.
Develop REST APIs, backend services, and lightweight applications while ensuring data governance and scalability.
This partner company focuses on data and technology solutions, hiring a Senior Data Engineer to build production-grade data products. The company's size and culture are not explicitly detailed, but the role emphasizes collaboration, remote work, and modern tech stacks.
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.
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.
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, 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 and build scalable, fault-tolerant data pipelines for batch and streaming architectures.
Own data quality and observability end-to-end with monitoring, alerting, and automated testing.
Architect enterprise-grade datasets using appropriate modeling approaches like dimensional modeling or Data Vault.
The company builds foundational data infrastructure for analytics and AI at enterprise scale. The engineering team fosters a technically ambitious environment focused on long-term platform health and scalable architecture.
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.
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.
Lead the development of the data platform supporting clinical operations, payer reporting, and analytics.
Build and orchestrate ingestion pipelines using Mage, Python, and GCP infrastructure as code.
Ensure security and compliance with PHI, HIPAA, and SOC 2 while collaborating cross-functionally.
Protera Health is a musculoskeletal (MSK) specialty care company that partners with health plans, health systems, and employers to deliver coordinated, measurable MSK care. It is a growing multidisciplinary clinical organization with a technology platform, offering a fully remote, mission-driven culture.
Design and implement enterprise-grade lakehouse architectures using Databricks.
Develop scalable data solutions leveraging Databricks, Azure, GCP, Apache Spark, PySpark, and SQL.
Provide hands-on technical leadership and partner directly with enterprise clients to translate requirements into robust solutions.
Our partner is a consulting organization that specializes in enterprise-scale data, cloud, and AI transformation. They offer a fast-paced, high-impact environment with exposure to modern technology and enterprise clients.
Design and maintain scalable data pipelines and data models for internal and client-facing products.
Collaborate with product, design, and engineering teams to translate business needs into reliable data solutions.
Improve data quality, performance, and engineering practices while taking ownership of the data platform.
This company is a fast-growing global SaaS business operating in the healthcare technology sector. It offers a remote-first engineering environment with talented colleagues across multiple countries and cultures.
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.
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.
Lead client discovery sessions to translate business challenges into scalable Data & AI architectures.
Design enterprise-grade solutions and guide engineering teams from design through production deployment.
Act as a trusted technical advisor, applying AI throughout the software development lifecycle to improve outcomes.
The company provides data and AI solutions to enterprise clients. It is a remote-first global team with a culture of transparency and continuous improvement.
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 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.
Develop and maintain data pipelines for ingestion, transformation, and modeling using Microsoft Azure and Databricks.
Work with PySpark, Azure Data Lake Storage, and Delta Lake to build scalable and performant data solutions.
Collaborate in Agile/SCRUM teams to deliver end-to-end data engineering projects.
Expleo is a global engineering, technology and consulting service provider that helps clients innovate and future-proof their businesses. With a presence in 30 countries, they leverage a network of affiliates and partners to deliver comprehensive services across multiple sectors.
Analyze, design and develop cutting-edge software for provider data management on a new product.
Work with a global cross-functional team to build cloud-native, large-scale, scalable data pipelines.
Take full ownership of the software development lifecycle, including planning, design, development, test and deployment.
HealthEdge offers AI-powered operational infrastructure for health insurance companies. With strong market momentum and a growing number of health plans choosing them, they are investing in their people to shape the future of healthcare technology.
Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
Mentor junior engineers and raise team-wide engineering standards
Optimize and monitor production workflows using tools like Airflow, dbt, and AWS
Cohere Health's clinical intelligence platform connects health plans and providers to optimize care. We are a growing company backed by leading investors, with a culture of empathy and collaboration.
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.