Remote Jobs Hiring: Top 10 Active Data Engineer Openings

Worldly is the world's most comprehensive impact intelligence platform — delivering real data to businesses on impacts within their supply chain. Worldly is trusted by 40,000 global brands, retailers, and manufacturers to provide the single source of ESG intelligence they need to accelerate business and industry transformation.

Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and professional customer experience. Running a small business today isn’t like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more. That’s why we put the power and flexibility in their hands to run their businesses how, where, and when they want!

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TTEC Digital Home Page: This job is focused on coaching clients to ensure their employees feel valued and supported, as an amazing customer experience is the priority. The vision of the company is for employees to thrive in a place where they know they can succeed.

Designs, builds, and improves scalable data platforms for a sales engagement platform. Collaborates with product and business teams to build agile solutions. Defines technical standards, structures data platform architecture, deploys automated pipelines using cloud-based and on-premise technologies.

Design, build, and maintain scalable data pipelines, warehouse models, and analytics solutions. Build and maintain natural language interfaces to data and analytics using GenAI/LLM techniques. Use GenAI coding tools in daily development for improved code quality, testing, and delivery speed. Continuously evaluate new technologies that improve the team's data platform and technology stack. Establish standards for SQL development, data modeling, testing, documentation, code reviews, and production support. Support production data pipelines through on-call rotation and incident response with engineering, analytics, and business teams. Document expertise in the technology stack and product domain, translating business needs into technical solutions with product management. Bachelor's degree or equivalent professional experience required.

Pavago's client is hiring a Data Analyst / Data Engineer to transform business data into reliable reporting, actionable insights, and scalable data systems. The role involves working with SQL, dashboards, reporting tools, databases, and data pipelines.

As our first dedicated Data Engineer, you will design and build a conformed Kimball-style dimensional model across operational, behavioral, and transactional data. You'll own ingestion end to end, consolidate transformation logic into a single governed layer, implement and manage the data warehouse and transformation layer, establish foundational best practices for data modeling, documentation, testing, and governance, collaborate with analysts and business stakeholders, encode business metric definitions once, monitor performance and optimize across pipelines, storage, and warehouse queries. This role requires 5+ years of experience in data engineering or a related field, strong proficiency in SQL, familiarity with modern transformation and modeling frameworks, hands-on experience with ETL/ELT pipelines, orchestration tooling, and data ingestion platforms, and a solid understanding of data modeling best practices.

SweedPos is reimagining cannabis retail by combining POS, eCommerce, Marketing, Analytics and Inventory Management into a single solution. The Data Engineer will ensure data flows from various systems to analytics and operational platforms, enabling better decision-making for customers.

A Senior Data Engineer position at Prompt is seeking an experienced professional to drive the mission of improving healthcare through high-quality, actionable data. The role involves designing, developing, and iterating complex data systems, performing exploratory analysis for client-facing and internal decision-making, leveraging modern AI tools, and ensuring data products deliver real value across various departments.