Design and engineer robust data pipelines using technologies like Databricks, Azure Data Factory, Apache Spark, and Delta Lake.
Craft healthcare data solutions - processing massive healthcare datasets, optimizing performance, and ensuring data is accurate and secure.
Communicate technical concepts to non-technical stakeholders, manage multiple priorities, and meet deadlines.
Gentiva offers compassionate care in the comfort of patients' homes as a national leader in hospice, palliative, home health care, and advanced illness management. They have nearly 600 locations and thousands of clinicians across 38 states, offering rewarding careers in a collaborative environment.
Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
Implement and maintain data quality measures throughout the data lifecycle
CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they have a culture that values diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment.
Lead end-to-end data science and ML engagements on Microsoft Azure, Microsoft Fabric, and Databricks to solve manufacturing, supply chain, and operations use cases for clients.
Design and implement advanced analytics solutions using Azure Machine Learning, Azure OpenAI, Databricks (PySpark/MLflow), and Power BI, ensuring they are secure, scalable, and aligned to delivery standards.
Build modern retrieval and RAG patterns on Azure to expose knowledge from SOPs, service histories, maintenance logs, and data sources commonly associated with manufacturing, supply chain, and logistics.
MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions, innovation, and industry intelligence. Established in 2002, MCA Connect has grown into one of the largest US-based solution partners in Microsoft Business Applications and Azure Data & AI / Digital & App Innovation and is a three-time Inc. Best Workplaces award winner.
Provide leadership and guidance to the data engineering team, fostering a collaborative work environment. Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools and methodologies. Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders.
Lingaro has been on the market since 2008, with 1300+ talents currently on board in 7 global sites.
Collaborate with stakeholders to understand business requirements and translate them into data engineering solutions. Design and oversee the data architecture and infrastructure, ensuring scalability, performance, and security. Create scalable and efficient data processing frameworks, including ETL processes and data pipelines.
Lingaro has been on the market since 2008, with 1500+ talents currently on board in 7 global sites and emphasizes career growth and skills development.
Partner with clients and implementation teams to understand data distribution requirements.
Design and develop data pipelines integrating with Databricks and Snowflake, ensuring accuracy and integrity.
Lead architecture and implementation of solutions for health plan clients, optimizing cloud-based technologies.
Abacus Insights is changing the way healthcare works by unlocking the power of data to enable the right care at the right time. Backed by $100M from top VCs, they're tackling big challenges in an industry that’s ready for change with a bold, curious, and collaborative team.
Design and own scalable, secure data architectures and pipelines across our platforms.
Collaborate closely with data engineers, analysts, MLOps Lead, AI and Data Architects, and business stakeholders, to align architecture with business needs.
Define and maintain data models, governance frameworks, reference architectures, guidelines, best practices and operating principles for our data and analytics platforms.
Redcare Pharmacy is Europe’s No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation. They strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to their vision “Until every human has their health”.
Define and enforce data architecture and engineering standards across products and teams
Design scalable, secure, and optimized cloud data architectures that align with business goals
Collaborate with engineering and product teams to translate requirements into high-level and detailed system designs
Jobgether connects candidates with partner companies using an AI-powered matching process. They ensure applications are reviewed quickly and fairly, and their system identifies top candidates to share with the hiring company.
Build and operate data pipelines from D365, Power Platform, and other sources into the enterprise data platform.
Design and implement star schemas, data lake house structures, and semantic models for Power BI.
Optimize performance and cost management for reporting in Azure.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. They identify top-fitting candidates and share the shortlist with the hiring company.
Build and operate data pipelines from various sources into the enterprise data platform.
Design and implement star schemas, lakehouse structures, and semantic models.
Establish data quality checks and reconciliation rules to ensure consistency.
Jobgether is a platform that uses AI-powered matching to ensure applications are reviewed quickly, objectively, and fairly. Their system identifies top-fitting candidates and shares this shortlist with the hiring company.
Build and optimize Sauce's lakehouse architecture using Azure Databricks and Unity Catalog for data governance.
Create and maintain data quality tests and improve existing alerting setups.
Own data warehouse by connecting data sources, and maintaining a platform and architecture in coordination with R&D infrastructure and operations teams.
Sauce is a premier restaurant technology platform that helps businesses grow with our Commission-Free Delivery & Pickup structure and proprietary delivery optimization technology.
Collaborate with engineering, data science, ML, data engineering, and product analytics teams to understand and shape the future needs of our data platform and infrastructure.
Define, drive, and implement the future live ingestion layer of data into our data platform (e.g. Kafka, Kinesis).
Define and evolve standards for storage, compute, data management, provenance, and orchestration.
Inspiren offers the most complete and connected ecosystem in senior living.
Partner with our customer teams to develop engineering plans to implement our health system partners
Build and support robust batch and streaming pipelines
Evolve the maturity of our monitoring systems and processes to improve visibility and failure detection in our infrastructure
Paradigm is rebuilding the clinical research ecosystem by enabling equitable access to trials for all patients. Incubated by ARCH Venture Partners and backed by leading healthcare and life sciences investors, Paradigm’s seamless infrastructure implemented at healthcare provider organizations, will bring potentially life-saving therapies to patients faster.
Design, develop, and maintain scalable and robust data pipelines.
Create solutions for data ingestion, transformation, and modeling using Databricks, Spark/PySpark, Cloudera, and Azure Data Factory (ADF).
Ensure the quality, integrity, and usability of data throughout the entire pipeline.
CI&T specializes in technological transformation, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters worldwide, they have partnered with over 1,000 clients during their 30-year history, with a focus on Artificial Intelligence.
Build, manage, and operationalize data pipelines for marketing use cases.
Develop a comprehensive understanding of customer and marketing data requirements.
Transform large data sets into targeted customer audiences for personalized experiences.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Drive data engineering work across project phases, including discovery, design, build, test, deploy, and ongoing improvement.
Design and build scalable data pipelines using Microsoft Fabric (lakehouses, warehouses, pipelines, dataflows, notebooks).
Cleanse, model, and transform raw data to support analytics, reporting, semantic modeling, and governance needs.
Stoneridge Software helps clients succeed in implementing business software solutions. As a 2025 Top Workplace Honoree and Microsoft Solutions Partner, they have a meticulous approach to project delivery and empower client's success with long-term support.
Lead and guide the design and implementation of scalable streaming data pipelines.
Engineer and optimize real-time data solutions using frameworks like Apache Kafka, Flink, Spark Streaming.
Drive adoption of best practices in data governance, observability, and performance tuning for streaming workloads.
PointClickCare is a leading health tech company that’s founder-led and privately held, empowering employees to push boundaries, innovate, and shape the future of healthcare.
Design, implement, and maintain scalable ETL/ELT pipelines using Python, SQL, and modern orchestration frameworks. Build and optimize data models and schemas for cloud warehouses and relational databases, supporting AI and analytics workflows. Lead large-scale data initiatives from planning through execution, ensuring performance, cost efficiency, and reliability.
This position is posted by Jobgether on behalf of a partner company.
Drive the architecture, development, and optimization of our enterprise analytics ecosystem. Lead strategy, build scalable solutions, and elevate BI capabilities across the organization. Build and optimize enterprise-grade Power BI models, datasets, and dashboards.
CareDx, Inc. is a leading precision medicine solutions company focused on the discovery, development, and commercialization of clinically differentiated solutions.