Data Engineer (REMOTE)
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer - REMOTE. In this role, you'll be focused on designing robust data systems that not only unify disparate data sources but also create pipelines that support analytics and machine learning initiatives. You will collaborate with cross-functional teams, ensuring that our clients can harness the power of their data effectively. As part of our mission, you'll help transform messy data into actionable insights, creating significant value for organizations. Your contributions will play a key role in shaping scalable data infrastructures that meet evolving needs.
Accountabilities: * Build modern, scalable data pipelines that keep the data flowing—and keep our clients happy * Design cloud-native infrastructure and automation that supports analytics, AI, and machine learning * Unify and wrangle data from all kinds of sources: SQL, APIs, spreadsheets, cloud storage, and more * Develop ETL/ELT frameworks that improve code quality and make things easier for your teammates * Apply strong data modeling principles to support everything from dashboards to data science * Collaborate closely with other teams to understand what they really need * Write clear documentation, contribute to design decisions, and share what you learn * Bring a thoughtful, problem-solving mindset to every project
Benefits
- Competitive salary range of $90,000–150,000, depending on experience and qualifications
- Flexible work environment, with a focus on remote and collaborative solutions
- Opportunity to work with a passionate and skilled team
- Continuous learning and development opportunities
- Engagement in innovative projects that shape the industry
- Work-life balance and employee well-being initiatives
Requirements
- Solid SQL skills (and the curiosity to keep leveling up)
- Strong experience with ETL/ELT workflows (GUI tools or code-based—either works!)
- A clear understanding of data modeling best practices
- Deep understanding of data quality, governance, and observability principles and practices
- Working knowledge of DevOps concepts
- Experience with CI/CD pipelines
- Excellent communication skills—you can explain tech to humans
- A passion for delivering smart, thoughtful, client-centered solutions
- A love for learning new tools, frameworks, and approaches
- 5+ years of professional experience in a data engineering or technical consulting role
- Flexibility and comfort in fast-changing environments
