Data Engineer (REMOTE) Role

Medium; A distancia; COP 330.457.000 - 550.762.000; Jornada completa

Descripción de la vacante

A data solutions provider is seeking a Remote Data Engineer to design and implement data systems. This role involves creating robust data pipelines and collaborating with cross-functional teams to enhance analytics. Candidates should possess solid SQL skills and 5+ years of experience in data engineering. Benefits include a competitive salary ranging from $90,000 to $150,000, flexible work environment, and opportunities for continuous learning and project engagement.

Servicios

Competitive salary

Flexible work environment

Learning and development opportunities

Work-life balance initiatives

Formación

• 5+ years of professional experience in a data engineering or technical consulting role.
• Solid SQL skills and a curiosity to keep learning.
• Strong experience with ETL/ELT workflows, either GUI tools or code-based.

Responsabilidades

• Build modern, scalable data pipelines that keep clients satisfied.
• Design cloud-native infrastructure and automation to support analytics.
• Unify and wrangle data from various sources like SQL and APIs.

Conocimientos

SQL skills

Experience with ETL/ELT workflows

Understanding of data modeling best practices

Knowledge of data quality and governance

Working knowledge of DevOps concepts

Experience with CI/CD pipelines

Excellent communication skills

Passion for client-centered solutions

Adaptability in fast-changing environments

Descripción del empleo

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

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

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

Why Apply Through Jobgether?

We 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.