Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.
Build and operate production-grade data pipelines that ingest and transform high-variance, real-world clinical data reliably and at scale.
Contribute to quarterly data product releases, working closely with product, clinical, and customer success teams to meet commitments.
Verantos is the market leader in high-accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use, serving some of the largest biopharma companies globally.
Be the Snowflake and dbt expert, guiding best practices and making key design decisions for a new multi-dimensional data model and data warehouse.
Build and maintain pipelines to ingest data from Salesforce and other sources, and transform data using dbt with Medallion architecture.
Work closely with the Business Intelligence team to monitor and implement enhancement requests for the data warehouse to meet stakeholder reporting demands.
Lyra Health is the leading provider of mental health solutions for employers, supporting over 20 million people globally. The company has delivered 13 million sessions of mental health care and is transforming access through its AI-powered platform Lyra Empower.
Design, develop, and maintain scalable data pipelines and ELT/ETL workflows on Snowflake.
Architect and optimize Snowflake data models and warehouses for performance and cost efficiency.
Implement data governance, security, and role-based access controls across the platform.
Bounteous is a premier end-to-end digital transformation consultancy that partners with ambitious brands to create digital solutions. With over 4,000 expert team members across the Americas, APAC, and EMEA, they deliver innovative solutions in Strategy, Analytics, Digital Engineering, and more.
Build and optimize scalable data pipelines using Python and dbt.
Design and maintain Snowflake warehouse structures, database tables, and performant data models.
Develop reliable ETL/ELT workflows for extracting, transforming, loading, and validating data from multiple sources.
We are seeking a Senior Data Engineer to support core marketplace analytics data products and platform work. Enterprise experience is strongly preferred.
Design and maintain production-grade ETL/ELT pipelines in a multi-hundred terabyte Snowflake environment.
Translate client loyalty program requirements into dimensional models and platform tables.
Build reliable, event-driven data architecture to support AI-powered loyalty products.
Kobie is a leader in loyalty solutions, helping brands build lasting emotional connections with consumers. Named a Top Workplace in the USA, the company fosters a collaborative, growth-focused culture with a diverse suite of benefits and flexible work arrangements.
Design and evolve scalable data platforms, ensuring reliability and governance.
Define data architecture standards, models, and integration patterns for business needs.
Collaborate with stakeholders to translate requirements into cloud-based data solutions.
Nortal shapes digital transformation with complex solutions for global enterprises and the public sector. With over 25 years of experience and 160+ new hires yearly, the company fosters a culture of autonomy, open communication, and diversity.
Lead a team of data engineers, own the technical roadmap for our cloud data stack (Snowflake, Azure, dbt), and partner closely with stakeholders.
Establish and enforce organization-wide ETL/ELT best practices, naming conventions, and code review standards.
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, they offer strategic advantages to their clients by offering legal support services at every stage of their legal proceedings.
Architect and optimize Snowflake architecture for enterprise scalability and future data product commercialization.
Drive agentic engineering using tools like Snowflake Cortex, Cursor, and UiPath to automate workflows and deploy AI agents.
Establish data observability frameworks and operationalize MLOps pipelines for robust ML model lifecycle management.
Versapay automates accounts receivable, removing barriers to collecting and reconciling B2B payments. With over 10,000 customers and 5M+ companies transacting on the platform, they process over 110M transactions and $257B annually.
Design, develop, and maintain scalable ETL/ELT data pipelines using Python.
Process and integrate data from multiple formats and sources (JSON, CSV, XML).
Build and manage data transformations and orchestration workflows using dbt and orchestration tools such as Airflow, Prefect, or Dagster.
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Build, maintain, and scale data pipelines integrating internal and external data into the warehouse.
Partner with internal stakeholders and engineering teams to understand analysis needs and improve data logging.
Participate in architectural decisions and evangelize data engineering best practices.
OXIO is the world’s first telecom-as-a-service platform, democratizing telecom for brands and enterprises to own proprietary mobile networks. The company is a rapidly growing startup with a diverse and inclusive team.
Own data pipeline development. Build and maintain reliable pipelines that ingest, transform, and deliver healthcare data across the organization.
Design warehouse data models. Create scalable schemas and data structures that support analytics, reporting, and evidence generation.
Lead data transformation strategy. Establish frameworks and standards that improve consistency, maintainability, and performance.
Pivotal Health builds a technology platform to help healthcare providers get paid fairly in complex reimbursement landscapes. The company is a collaborative, low-ego team on a mission to make healthcare reimbursement fairer.
Design and maintain Snowflake data models that support customer engagement, reporting, and audience activation
Build and optimize customer-level data structures for segmentation, personalization, and lifecycle marketing
Create and maintain pipelines that sync customer data into Braze, Hightouch, and other downstream tools
Massive Rocket is a rapidly scaling Braze and Snowflake agency that transforms how digital marketing, product, and engineering teams connect. We've grown at speed in five years and are hitting $100M in revenue, building a culture of ownership, collaboration, and growth.
Manage workflow, assignment, and quality oversight for a team of 3-4 data engineers.
Set standards for data design, modeling, and deployment in Snowflake to ensure consistency.
Provide technical guidance and define data delivery strategy across the enterprise.
Capital Blue Cross is an independent licensee of the Blue Cross Blue Shield Association focused on improving health and well-being. They foster a flexible environment with a caring team and are consistently voted one of the 'Best Places to Work in PA.'
Serve as a trusted technical advisor to enterprise customers, leading discovery sessions and designing scalable data and AI architectures.
Partner with sales teams to support business development through client presentations, proposals, technical demonstrations, and proof-of-concept engagements.
Architect enterprise data solutions leveraging Snowflake, cloud platforms (AWS, Azure, GCP), and modern data technologies.
BlueCloud is a leading AI and data transformation consultancy focused on helping enterprises unlock the value of their data, with deep expertise in Automotive, Retail, Healthcare & Life Sciences, and Financial Services. Backed by Hudson Hill Capital, BlueCloud employs more than 450 Snowflake consultants globally and has completed over 200 enterprise transformation projects, fostering an entrepreneurial culture and a borderless global delivery model.
Partner with the Director of Data to translate platform vision into engineering execution.
Lead the design and implementation of Kimball-style dimensional models and star schema architectures.
Design, build, and maintain production-grade data pipelines with a focus on reliability and scalability.
BlueLabs is an analytics services and technology company that helps organizations use data for social and commercial impact. With over 400 clients and a diverse team of analysts, scientists, engineers, and strategists, they foster a supportive, collaborative, and mission-driven culture.
Design and build critical data infrastructure to onboard a new marketing mix modeling and incrementality testing vendor.
Translate external vendor schema into a production-ready data mart, bridging internal DTC data with external ingestion.
Manage full merge request workflow using GitLab, adhering to strict peer review processes before deployment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions to companies of all sizes. The team of 600+ highly skilled tech professionals based in Latin America drives digital disruption by partnering with U.S. companies on impactful projects.
Lead and manage a global data engineering team building large-scale data pipelines and production datasets for the Public Investor business.
Collaborate with product, research, and operations teams to translate roadmap priorities into scalable technical plans and customer-facing data feeds.
Drive operational excellence through data quality frameworks, observability, and AI-assisted development practices.
YipitData is the leading market research and analytics firm for the disruptive economy, providing actionable insights from alternative data. With over $475M raised and offices globally, it has a people-centric culture recognized as a Best Workplace for three consecutive years.
Design, develop, and maintain robust, scalable ETL/ELT data pipelines using Python, SQL, and data processing frameworks.
Implement data quality checks, monitoring, and alerting across all data pipelines to ensure data integrity and reliability.
Work closely with data analysts, data scientists, and business intelligence engineers to understand their data requirements and deliver reliable, high-quality data access.
InStride Health delivers specialty anxiety and OCD care. They focus on expanding access to insurance-based care, increasing engagement, and improving treatment outcomes by combining clinical care and innovative technology. They are a mission-driven company.
Own the dbt project end to end, including documentation, testing, dev/prod separation, and clean schema design.
Own the semantic layer with metric definitions, data quality standards, and governance processes for self-service analytics.
Own data observability and orchestration, monitoring pipelines and building infrastructure on AWS.
Nest Health is the first value-based care provider built for families, making comprehensive medical, behavioral, and social care accessible to America’s highest risk families. Founded in 2022, Nest is a startup with a fast-paced, ever-changing environment where employees wear multiple hats and are highly autonomous.
Design, build, and maintain ETL pipelines moving data between application databases, cloud warehouses, third-party APIs, and object stores.
Partner with product managers, research scientists, and engineers to translate ML requirements into scalable data solutions.
Investigate and resolve data integrity issues including missing data, incorrect mappings, duplicates, and schema mismatches.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company has a network of over 500,000 linguists and domain experts with seven ISO certifications.