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• Design, develop, and maintain data pipelines to integrate data from multiple sources.
• Build and lead a high-performing data engineering team across multiple geographies.
• Partner with Product Managers and Technical Leads to ensure alignment between data initiatives and business outcomes.

HighLevel is an AI-powered, all-in-one white-label sales and marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With over 1,500 team members across 15+ countries, they operate in a global, remote-first environment, fostering a culture of innovation, collaboration, and impact.

• 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.

• 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 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.

• Build and operate data pipelines from D365, Power Platform, and other sources into the enterprise data platform.
• Design and implement star schemas, data lake house structures, and semantic models for Power BI.
• Optimize performance and cost management for reporting in Azure.

Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly and fairly. They identify top-fitting candidates and share the shortlist with the hiring company.

• Contribute to the design and implementation of highly scalable data infrastructure.
• Implement and maintain end-to-end data pipelines supporting batch & realtime analytics.
• Work with Product, Engineering, and Business teams to understand data requirements.

Docker makes app development easier so developers can focus on what matters and has a remote-first team that spans the globe.

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.

• 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.

• 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.

Lead the technical development of data offerings in India. Responsible for building and managing a high-performing team of Analytics Engineers. Establish best practices, mentor direct reports, and design an organizational setup for efficient scaling.

Juniper Square's mission is to unlock the full potential of private markets by digitizing these markets and bringing efficiency and transparency.

• 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.

Transform data into insights that drive business value. Design and build Tableau dashboards that provide actionable information to support decision-making. Leverage data from AWS, SQL Server, PostgreSQL, Amazon Redshift, and Salesforce Data Cloud.

Buyers Edge Platform is a leading digital procurement network and solutions provider for the foodservice industry.

The Senior Data Analytics Engineer designs, implements, and optimizes data analytics infrastructure. The role requires both technical expertise and strong analytical skills. The engineer develops and maintains data models, dashboards, and reports to support business analytics and decision-making.

Uniswap Labs builds products that help millions of people access DeFi simply and securely ‒ from the Uniswap Web App and Wallet to crypto infrastructure.

Build robust data pipelines at scale. Design and implement data schemas. Collaborate with Analytics/Data Science team to structure and house data.

Goods & Services is a product design and engineering company that solves mission-critical challenges for some of the world’s largest enterprises.

Responsible for designing, building, and maintaining scalable data pipelines and warehouse architectures. Integrate, transform, and manage high-volume datasets across multiple platforms. Focus on ensuring data quality, performance, and security while driving innovation through the adoption of modern tools and technologies.

This position is posted by Jobgether on behalf of a partner company.

• Develop the analytics practice for our largest line of business.
• Design, develop, and maintain reports and dashboards in Sigma.
• Extract and manipulate data from various sources, including Snowflake.

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

• Design, build, and maintain high-volume ETL pipelines and ingestion systems.
• Architect reusable data integrations to replace legacy, bucket-based custom reporting.
• Deliver BI-ready datasets consumed by tools such as Snowflake, Tableau, Looker, or internal platforms.

Ubiminds partners with American software product companies to scale their development footprint by offering staff augmentation and employer-of-record services.

• Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools and publishing documentation.
• Collaborate directly with stakeholders to define problems and determine requirements for a solution. Set and maintain best practices for data models and processes.
• Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them. Own documentation of our tools and data.

Articulate Global, LLC, is a SaaS provider of creator platforms for online workplace training. They have more than 118,000 customers in 170 countries and counts all 100 of the Fortune 100 companies as customers. They are named one of Inc. Magazine’s Best Workplaces 2022 and a leader in building a human-centered organization.

• 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.

• Assist in executing data engineering projects within the Customer Intelligence portfolio to meet defined timelines and deliverables.
• Build and maintain ETL pipelines based on user and project specifications to enable reliable data movement.
• Develop and update technical documentation for key systems and data assets.

Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better.