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.
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- 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, 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.
The Sr Data Engineer, DevX creates the best developer experience for data and application engineers at Basis. They design, implement and maintain deployment and ETL pipelines for data products. Integrate diverse data sources and vendor products, including databases, APIs, and third-party services.
Basis Technologies empowers agencies and brands with cutting-edge software that automates digital media operations, offering flexible work options across the U.S.
- 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, develop, and implement end-to-end data pipelines to support data collection and transformation.
- Lead the architecture and development of scalable and maintainable data solutions.
- Collaborate with data scientists and analysts to provide clean and accessible data.
DexCare optimizes time in healthcare, streamlining patient access, reducing waits, and enhancing overall experiences.
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.
- 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.
- Architect and maintain robust data pipelines to transform diverse data inputs.
- Integrate data from various sources into a unified platform.
- Build APIs with AI assistance to enable secure access to consolidated insights.
Abusix is committed to making the internet a safer place. They are a globally distributed team that spans multiple countries and thrives in a culture rooted in trust, ownership, and collaboration.
- 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.
- Design, build, and maintain cloud-native data infrastructure using Terraform for IaC.
- Develop and optimize data pipelines leveraging AWS services and Snowflake.
- Build and maintain LLM frameworks, ensuring high-quality and cost-effective outputs.
ClickUp is building the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.
- Design, build, and oversee the deployment of technology for managing structured and unstructured data.
- Develop tools leveraging AI, ML, and big-data to cleanse, organize, and transform data.
- Design and maintain CI/CD pipelines using GitHub Actions to automate deployment, testing, and monitoring.
NBCUniversal is one of the world's leading media and entertainment companies creating world-class content across film, television, streaming, theme parks, and more.
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.
- 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.
- Design, build and execute data pipelines.
- Build the configurable ETL framework.
- 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.
- 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.
- 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.
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, 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.
- 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.
- 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.