Source Job

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.

• Responsible for the collection, extraction, transformation, and correlation of business data across the Subsplash platform.
• Administer and tune data systems to optimize for performance.
• Work with data warehousing/data lake environments to provide data marts for business analysis and intelligence.

Subsplash is an award-winning team that builds The Ultimate Engagement Platform™ for churches, Christian ministries, non-profits, and businesses around the world.

• Develop and maintain scalable data pipelines and ETL processes.
• Design, build, and optimize data models and databases.
• Perform data analysis, data mining, and statistical modeling.

We’re supporting a global fintech and digital currency platform in their search for a Senior Data Engineer to help scale and optimize their analytics and data infrastructure.

• Design, develop, and maintain reliable, scalable ETL/ELT pipelines across ingestion, transformation, storage, and consumption layers.
• Build and manage data models and transformations using dbt with strong testing and documentation practices.
• Contribute to architectural decisions, technology selection, and data engineering standards.

Vitable is a health benefits platform making healthcare better for employers of everyday workers.

• Design, build, and maintain scalable and reliable data pipelines.
• Develop and maintain ETL data pipelines for large volumes of data, writing clean, maintainable, and efficient code.
• Work closely with product managers, data scientists, and software engineers to create and prepare datasets from disparate sources.

Curinos empowers financial institutions to make better, faster and more profitable decisions through industry-leading proprietary data, technologies and insights.

• Design, develop, and maintain robust data processes and solutions.
• Develop and maintain data models, databases, and data warehouses.
• Collaborate with stakeholders to gather requirements and provide data solutions.

Highmark Health is a national, blended health organization that includes one of America’s largest Blue Cross Blue Shield insurers.

• 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.

• Work alongside Caylent’s Architects, Engineering Managers, and Engineers to deliver AWS solutions.
• Build solutions defined in project backlogs, writing production-ready, well-tested, and documented code across cloud environments.
• Participate in Agile ceremonies such as daily standups, sprint planning, retrospectives, and demos.

Caylent is a cloud native services company that helps organizations bring the best out of their people and technology using Amazon Web Services (AWS). They are a global company and operate fully remote with employees in Canada, the United States, and Latin America fostering a community of technological curiosity.

• Design, build, and maintain scalable data pipelines and warehouses for analytics and reporting.
• Develop and optimize data models in Snowflake or similar platforms.
• Implement ETL/ELT processes using Python and modern data tools.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company; the final decision and next steps (interviews, assessments) are managed by their internal team.

• Design, build, test, and manage data pipelines from data sources to integration for key data consumers.
• Develop and implement data models to support strategies, ensuring scalability and efficiency.
• Provide end-user support, monitor service level agreements, and collaborate with stakeholders for customer satisfaction.

Cincinnati Children’s has one goal: to make children’s health better.

• Design, build, and maintain robust and scalable data pipelines from diverse sources.
• Leverage expert-level experience with dbt and Snowflake to structure, transform, and organize data.
• Collaborate with engineering, product, and analytics teams to deliver data solutions that drive business value.

Topstep is an engaging working environment which ranges from fully remote to hybrid and they foster a culture of collaboration.

• Design, develop, and maintain scalable data pipelines and data warehouses.
• Develop ETL/ELT processes using Python and modern data tools.
• Ensure data quality, reliability, and performance across systems.

3Pillar Global is dedicated to engineering solutions that challenge conventional norms. They are an elite team of visionaries that actively shapes the tech landscape for their clients and sets global standards along the way.

• Analyze, process, and interpret large datasets to generate actionable insights.
• Develop and maintain ingestion and transformation processes.
• Design data warehouse models.

Software Mind develops solutions that make an impact for companies around the globe.

• Spearhead the development and optimization of ETL processes and support our Snowflake data warehouse.
• Standardizing ETL processes across the organization to tackling ad hoc projects that arise in a fast-evolving company landscape.
• Streamlining our data management practices and ensuring our data infrastructure scales efficiently with our growth.

Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation.

• Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
• Write and optimize advanced SQL queries for performance and reliability.
• Implement ETL/ELT processes to ingest and transform data from multiple sources.

Nagarro is a digital product engineering company that is scaling in a big way and builds products, services, and experiences that inspire, excite, and delight.

Build end-to-end data solutions that include ingest, logging, validation, cleaning, transformation, and security. Lead the design, development, and delivery of scalable data pipelines and ETL processes. Design and evolve robust data models and storage patterns that support analytics and efficiency use-cases.

Founded in 1997, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions.

As a key member of our Data Engineering team, you will: Collaborate with Data Science, Reporting, Analytics, and other engineering teams to build data pipelines, infrastructure, and tooling to support business initiatives. Oversee the design and maintenance of data pipelines and contribute to the continual enhancement of the data engineering architecture. Collaborate with the team to meet performance, scalability, and reliability goals.

PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences.

• Develop data models and pipelines for customer-facing applications, research, reporting and machine learning.
• Optimize data models to support efficient data storage and retrieval processes for performance and scalability.
• Optimize ETL processes for ingesting, processing and transforming large volumes of structured and unstructured data into our data ecosystem.

Inspiren offers the most complete and connected ecosystem in senior living bringing peace of mind to residents, families, and staff.

• Design, build, and maintain highly scalable, reliable, and efficient ETL/ELT pipelines.
• Ingest data from a multitude of sources and transform raw data into clean, structured, and AI/ML-ready formats.
• Work closely with data scientists, machine learning engineers, and business analysts to understand their data needs.

Valtech exists to unlock a better way to experience the world by blending crafts, categories, and cultures, helping brands unlock new value in an increasingly digital world.

Play a key role in ensuring the stability, scalability, and efficiency of data platforms and pipelines. Work at the intersection of data engineering, database administration, and technical operations, supporting critical analytics workflows. Monitor, troubleshoot, and optimize databases and data warehouses, while implementing automation and orchestration solutions using Python.

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