Senior Data Specialist

Medium; Remote; SAR 337,000 - 563,000; Full time

Job summary

A prominent tech company is seeking a Data Engineer to design robust systems and create data pipelines supporting analytics and machine learning initiatives. In this remote role, you will collaborate with cross-functional teams to unify data sources and improve data quality. Ideal candidates will have over 5 years of experience, solid SQL skills, and a passion for problem-solving. The position offers a competitive salary ranging from $90,000 to $150,000, along with flexible work options and opportunities for continuous learning.

Benefits

Competitive salary

Flexible work environment

Continuous learning opportunities

Work-life balance initiatives

Qualifications

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

Responsibilities

• Build modern, scalable data pipelines that keep the data flowing.
• Design cloud-native infrastructure that supports analytics, AI, and machine learning.
• Unify and wrangle data from various sources including SQL, APIs, and spreadsheets.

Skills

SQL

ETL/ELT workflows

data modeling

data quality

DevOps concepts

CI/CD pipelines

communication skills

problem-solving

continuous learning

Job 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.

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.