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• 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, build, and maintain scalable, high-quality data pipelines.
• Implement robust data ingestion, transformation, and storage using cloud-based technologies.
• Collaborate with stakeholders to understand business goals and translate them into data engineering solutions.

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 partnerships with more than 1,000 clients and value diversity, fostering a diverse, inclusive, and safe work 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.

• 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.

• 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.

• Architect and implement scalable Lakehouse solutions using Delta Tables and Delta Live Tables.
• Design and orchestrate complex data workflows using Databricks Workflows and Jobs.
• Develop production-grade Python and PySpark code, including custom Python libraries.

Coderio designs and delivers scalable digital solutions for global businesses with a strong technical foundation and a product mindset.

• Lead and mentor a team of data engineers, fostering innovation, collaboration, and continuous improvement.
• Design, implement, and optimize scalable data pipelines and ETL processes to meet evolving business needs.
• Ensure data quality, governance, security, and compliance with industry standards and best practices.

Jobgether is a platform that connects job seekers with companies. They use an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.

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.

• Lead the development of our data infrastructure, from ingestion, ETL / ELT, aggregations, processing, and quality checks.
• Provide technical leadership, mentoring, and guidance to a team of data engineers and analytic engineers.
• Collaborate closely with data scientists to translate intricate model requirements into optimized data pipelines, ensuring impeccable data quality, processing, and integration.

Oportun is a mission-driven fintech company that aims to make its members' financial goals achievable. They empower members with intelligent borrowing, savings, and budgeting capabilities to build a better financial future and have provided more than $19.7 billion in responsible and affordable credit.

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.

Responsible for designing, building, and maintaining scalable data pipelines and warehouse architectures. Integrate, transform, and manage high-volume datasets across multiple platforms. Focus on ensuring data quality, performance, and security while driving innovation through the adoption of modern tools and technologies.

This position is posted by Jobgether on behalf of a partner company.

• Design and implement data solutions for various cloud data platforms.
• Lead and mentor engineering teams in best practices and technical excellence.
• Develop end-to-end technical solutions into production, ensuring optimal performance and security.

Jobgether is a remote-first organization that values a culture of technological curiosity, ownership, and trust and provides a dynamic and casual work environment for top performers. They use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Design and implement scalable, high-performance data architectures to support business needs.
• Develop, automate, and maintain production-grade data pipelines using modern data stack tools and best practices.
• Optimize data workflows and implement observability frameworks to monitor pipeline performance, reliability, and accuracy.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

Design, develop, and manage modern, scalable data solutions across federal and commercial environments. Build robust data pipelines, integrate data across multiple sources, and ensure high-quality, reliable data for analytics and operational use. Collaborate with cross-functional teams including Architects, Data Scientists, and DevOps engineers to deliver secure and efficient data solutions.

This position is posted by Jobgether on behalf of a partner company and uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly.

As a Senior Data Engineer, shape a scalable data platform that drives business insights. Design and maintain robust data pipelines and collaborate with cross-functional teams. Tackle complex data challenges, implement best practices, and mentor junior engineers.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

Work with data end-to-end, exploring, cleaning, and assembling large, complex datasets. Analyze raw data from multiple sources and identify trends and patterns, maintaining reliable data pipelines. Build analytics-ready outputs and models that enable self-service and trustworthy insights across the organization.

Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions for over two decades.

Own the design, build, and optimization of end-to-end data pipelines. Establish and enforce best practices in data modeling, orchestration, and system reliability. Collaborate with stakeholders to translate requirements into robust, scalable data solutions.

YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B.

• 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 monitor Cribl’s core data tech stack including data pipelines and data warehouse.
• Develop cloud-native services and infrastructure that power scalable and reliable data systems.
• Support Cribl’s growing data science and agentic initiatives by preparing model-ready datasets.

Cribl is a company that provides a data engine for IT and Security for various industries.

• 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.