Requirements
Requires solid SQL skills, strong experience with ETL/ELT workflows, a clear understanding of data modeling best practices, deep understanding of data quality, governance, and observability principles and practices, working knowledge of DevOps concepts, and experience with CI/CD pipelines. Excellent communication skills and a passion for delivering smart, thoughtful, client-centered solutions are essential. A minimum of 5 years of professional experience in data engineering or technical consulting is required.
Description
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.AccountabilitiesBuild modern, scalable data pipelines that keep the data flowing—and keep our clients happyDesign cloud-native infrastructure and automation that supports analytics, AI, and machine learningUnify and wrangle data from all kinds of sources: SQL, APIs, spreadsheets, cloud storage, and moreDevelop ETL/ELT frameworks that improve code quality and make things easier for your teammatesApply strong data modeling principles to support everything from dashboards to data scienceCollaborate closely with other teams to understand what they really needWrite clear documentation, contribute to design decisions, and share what you learnBring a thoughtful, problem-solving mindset to every projectRequirementsSolid 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 practicesDeep understanding of data quality, governance, and observability principles and practicesWorking knowledge of DevOps conceptsExperience with CI/CD pipelinesExcellent communication skills—you can explain tech to humansA passion for delivering smart, thoughtful, client-centered solutionsA love for learning new tools, frameworks, and approaches5+ years of professional experience in a data engineering or technical consulting roleFlexibility and comfort in fast-changing environmentsBenefitsCompetitive salary range of $90,000–150,000, depending on experience and qualificationsFlexible work environment, with a focus on remote and collaborative solutionsOpportunity to work with a passionate and skilled teamContinuous learning and development opportunitiesEngagement in innovative projects that shape the industryWork-life balance and employee well-being initiativesWhy Apply Through JobgetherWe use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies 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.We appreciate your interest and wish you the best!Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.