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.
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.
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.
Optimize SQL queries to maximize system performance.
RefinedScience is dedicated to delivering high-quality emerging tech solutions. While the job description does not contain company size or culture information, the role seems to value innovation and collaboration.
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.
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.
Write and deploy crawling scripts to collect source data from the web
Write and run data transformers in Scala Spark to standardize bulk data sets
Write and run modules in Python to parse entity references and relationships from source data
Sayari is a risk intelligence provider equipping sectors with visibility into commercial relationships, delivering corporate and trade data from over 250 jurisdictions. Headquartered in Washington, D.C., its solutions are trusted globally and recognized for growth and workplace culture.
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.
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.
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.
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.
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.
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.
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, 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 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.
Projetar, desenvolver e manter pipelines de dados (batch e streaming) para ingestão, transformação e disponibilização de dados para analytics e consumo por aplicações.
Construir e evoluir modelagem analítica (camadas bronze/silver/gold, data marts, star schema, wide tables), garantindo consistência, documentação e reuso.
Implementar boas práticas de qualidade de dados (testes, validações, contratos, SLAs/SLOs, monitoramento de freshness/completeness/accuracy) e atuar na resolução de incidentes com RCA.
CI&T specializes in technological transformation, combining human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, they have partnered with more than 1,000 clients during their 30 years of history.