Design, build, and own custom data pipelines from source systems into our warehouse.
Build and operate Airflow DAGs for scheduled and event-triggered workflows.
Develop dbt models and a governed semantic layer that analysts, internal tools, and AI agents can trust.
Grüns provides comprehensive nutrition through convenient gummies made from whole-food ingredients. They are a high-growth remote company with a culture focused on ownership, impact, and high standards.
Design, build, and own custom data pipelines that integrate source systems with the data warehouse.
Develop and operate Airflow DAGs for scheduled and event-driven workflows, ensuring reliable data processing.
Build dbt models and governed semantic layers that provide trusted data for analysts, applications, and AI tools.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It is a fast-growing company that uses technology to streamline recruitment and offers a high-trust remote environment.
Design and implement ETL pipelines using Apache Airflow, BigQuery, Python, and Spark to transform upstream data into curated data assets.
Provide technical leadership and best practices, mentoring other engineers and driving architecture decisions for high-performance systems.
Collaborate cross-functionally with Product Managers and end users to define key business questions and build relevant data sets.
InMarket is a leader in 360-degree consumer intelligence and real-time activation for top brands, offering a data-driven marketing platform. The company has a strong focus on technology and culture, with a commitment to diversity, equity, and inclusion, and offers competitive compensation and benefits.
Lead the development of the data platform supporting clinical operations, payer reporting, and analytics.
Build and orchestrate ingestion pipelines using Mage, Python, and GCP infrastructure as code.
Ensure security and compliance with PHI, HIPAA, and SOC 2 while collaborating cross-functionally.
Protera Health is a musculoskeletal (MSK) specialty care company that partners with health plans, health systems, and employers to deliver coordinated, measurable MSK care. It is a growing multidisciplinary clinical organization with a technology platform, offering a fully remote, mission-driven culture.
Design and operate production-grade data pipelines for healthcare, identity, and campaign datasets using Python, SQL, Airflow, and Snowflake.
Implement maintainable data models and governed views for provider, claims, and audience data, ensuring privacy-by-design for PHI/PII.
Partner with product, analytics, and data science teams to translate business requirements into resilient technical solutions that power audience discovery and measurement.
Zeta Global is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence and trillions of consumer signals to make marketing simpler. Founded in 2007 with offices worldwide, the company fosters a culture of trust and belonging, offering equity and wellness benefits to its employees.
Design and build scalable data pipelines and schemas for client engagements.
Lead data architecture and modeling discussions, weighing tradeoffs.
Mentor teammates and contribute to 8th Light's culture and values.
8th Light is a technology solutions consultancy that partners with organizations to build software, platforms, and agentic products. Founded in 2006, the company fosters an open, collaborative culture grounded in honesty and continuous learning.
Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
Collaborate with product managers, data analysts, and ML engineers to develop pipelines and ETL tasks for insights.
Establish data architecture processes that are scheduled, automated, and replicated as standards.
Manage individual Data Engineers to foster learning, growth, and success.
Doximity is the leading digital platform for U.S. medical professionals, with over 85% of physicians as members. We are a distributed team of doers passionate about improving healthcare.
Translate business goals into concrete data solutions.
Collaborate with peers, manage multiple priorities, and communicate project status.
Apply best practices in data pipelines, schemas, and system design.
DEPT is a growth invention company helping ambitious brands grow at the intersection of technology and marketing. With over 4,000 specialists, it values collaboration, curiosity, and getting things done.
Design, build, and maintain automated ETL pipelines and data frameworks using Snowflake and Python.
Collaborate with business users and teams to define requirements and deliver data solutions within agile methodology.
Validate data quality, troubleshoot issues, and optimize data delivery for analysts and third-party systems.
Empeople Credit Union is a financial institution that provides credit union services to its members. They offer a remote work environment with a focus on data-driven insights and a collaborative culture.
Build, expand, and optimize data infrastructure to create the most accurate dataset of identities and their relationships.
Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements.
Design and maintain a data observability framework to ensure data meets strict quality and freshness standards.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. The company is growing rapidly, has verified hundreds of millions of identities, and is backed by top investors like Craft Ventures and Andreessen Horowitz, with offices across the US and India.
Design, develop, and maintain scalable ETL/ELT pipelines and data integration processes.
Build and optimize cloud-based data architectures to support analytics and business intelligence initiatives.
Ensure data quality, consistency, governance, and reliability through validation, monitoring, and automated quality checks.
CI&T helps large enterprises transform AI potential into business impact with AI deployment, AI-native execution, and tech-integrated solutions. With 30 years of experience and 8,000 employees across 25 countries, they collaborate to build solutions with real impact.
Design and build scalable data pipelines (batch & streaming) on GCP.
Develop and manage API-driven integrations (REST, JSON, event-based).
Work with healthcare data standards such as FHIR, HL7, and EDI.
Egen is a data-first consulting firm specializing in Google Cloud and Salesforce, helping clients drive action through data and insights. The company is fast-growing and entrepreneurial, with a culture focused on learning, problem-solving, and innovation.
Design, develop, and maintain scalable data pipelines and ETL processes within Azure cloud environments.
Build and optimize data solutions using Azure Synapse, Azure Data Factory, and Power BI for analytics and reporting.
Ensure data quality, security, and performance while collaborating with stakeholders on healthcare initiatives.
VetsEZ provides IT solutions to federal government clients, focusing on healthcare systems. The company fosters a collaborative environment and is an equal opportunity employer.
Build and maintain batch and streaming ETL/ELT pipelines that feed a cloud data warehouse.
Develop, schedule, and monitor cloud data jobs, diagnosing failures and tuning for cost and performance.
Write idempotent load logic that handles reprocessing and backfills without creating duplicate data.
Crum & Forster provides market leading property & casualty, accident & health, specialty and standard commercial lines insurance solutions. With 3,000 employees and an employee-first focus, the company is consistently recognized as a great place to work, earning multiple workplace and wellness awards.
Design and build the data systems that power analytics, AI, and business intelligence across Owner
Replace one-off custom scripts with reproducible, production-grade pipelines
Own and evolve our core platforms - Snowflake, dbt, Dagster, and our ingestion and reverse ETL layers
Owner is an AI-native platform that replaces multiple tools for local business owners, starting with restaurants. The company has a low-hundreds team with top talent from successful SMB software companies and a remote-first global culture.
Build and maintain data pipelines using Databricks, dbt, Airbyte, and Airflow.
Contribute to data platform architecture and modeling, delivering trusted datasets.
3+ years experience in Data Engineering with strong SQL, Python, and cloud skills.
Ayming is an international consulting firm that supports businesses in digital and technological transformation. The company is expanding its technology, data, and transformation teams in Portugal and fosters a collaborative, innovative work environment.
Lead design, implementation, and optimization of complex enterprise data engineering solutions for scalable, secure data platforms.
Develop advanced data pipelines, integration frameworks, quality processes, and monitoring capabilities across enterprise systems.
Provide technical leadership, mentor engineers, and drive continuous improvement in performance, automation, and operational excellence.
The University of Kansas Health System is a world-class healthcare provider in Kansas City, part of a premier academic medical center. It is driven by commitment to service, continuous improvement, and excellence, with a collaborative culture among physicians, nurses, researchers, and professionals.
Investigate, analyze, and integrate data from multiple sources to create reliable, consolidated sources of truth.
Build, maintain, and optimize automated data pipelines using technologies such as Databricks, Python, and PySpark.
Translate data into actionable insights that help stakeholders evaluate clinical, operational, financial, and member-related outcomes.
This is a remote opportunity to build and maintain data products that support healthcare programs and improve how care is delivered. The role is ideal for a creative, analytical problem solver who wants to apply technology and data to meaningful healthcare outcomes.
Build, maintain, and optimize scalable data infrastructure for AI/ML features.
Partner with ML Engineers, Data Scientists, and Software Engineers to transform healthcare data into high-quality datasets.
Contribute to data pipelines, improve data quality, and ensure reliable, performant, and well-governed data for AI systems.
Tebra is the only all-in-one EHR+ platform built exclusively for independent healthcare practices. More than 42,000 private practices trust Tebra to streamline operations, increase revenue, and reduce burnout, with a culture that values starting with the customer, keeping it simple, staying entrepreneurial, being better together, and celebrating success.