Senior Data Engineer

Accountabilities:

• Design, build, and maintain scalable and high-performance data architectures supporting large-scale ingestion, processing, and transformation workflows.

• Develop and optimize robust data pipelines that connect scraping systems, databases, and AI/ML models used for matching and analytics.

• Improve existing data flows by enhancing efficiency, accuracy, reliability, and scalability across distributed systems.

• Manage end-to-end data pipeline operations, ensuring seamless integration between structured and unstructured data sources.

• Support production environments by ensuring stability, monitoring system performance, and resolving data-related issues.

• Collaborate with cross-functional teams to translate business and product requirements into scalable technical data solutions.

• Maintain clear and comprehensive documentation of data models, pipelines, and system architecture.

• Contribute to continuous improvement of data engineering standards, practices, and tooling.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

• Minimum 5 years of experience in data engineering roles, building and managing large-scale data pipelines.

• Strong proficiency in Python, with at least 5 years of professional development experience.

• Solid expertise in data modeling, schema design, and modern data warehousing concepts.

• Strong experience with relational databases (PostgreSQL, MySQL) and NoSQL systems such as MongoDB.

• Hands-on experience with AWS and big data frameworks such as Spark, Kafka, or Hadoop.

• Fluent professional communication skills in both English and Spanish.

• Strong problem-solving mindset with the ability to work independently in a remote environment.

• Ability to communicate complex technical concepts clearly to both technical and non-technical stakeholders.

• Experience working in fast-paced, product-driven environments is highly valued.

Benefits:

• Fully remote work environment with global flexibility

• Opportunity to work on high-impact, AI-driven data systems at scale

• International and diverse team culture

• Exposure to modern data engineering and machine learning technologies

• Professional growth in a fast-moving, innovation-driven environment

• Collaboration with experienced engineers and product teams worldwide

• Ownership of meaningful, end-to-end technical challenges

• Competitive compensation aligned with experience and market standards

How Jobgether works:
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!
 Why Apply Through Jobgether?

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.

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