Summary
✨ AI‑Generated
A technology solutions provider is seeking a modern data stack engineer for a full-time remote position. Contribute to data-focused digital platforms and modernization projects, helping organizations improve operations through scalable technology, integration, and practical engineering solutions.
Highlights
Full-time remote role focused on modern data technologies, scalable digital platforms, and business modernization. Opportunity to contribute to technology solutions for a range of organizations and collaborate in a flexible working environment.
Description
Company Description Rockland Tech Hub is a technology solutions provider that helps startups, growing businesses, and enterprises modernize systems, streamline operations, and build secure, scalable digital platforms.
The organization delivers reliable IT services, intelligent automation, custom software development, web and mobile applications, e-commerce solutions, software testing, branding support, and IT staffing services.
Rockland Tech Hub combines strong technical expertise with practical business insight to create solutions that improve efficiency and support sustainable growth.
The team focuses on building responsive websites, custom business applications, workflow automation, quality assurance, and providing skilled IT professionals aligned with client goals.
Rockland Tech Hub is committed to delivering dependable, future-ready technology solutions for a wide range of industries.
Role Description The Modern Data Stack Engineer is a full-time remote role responsible for designing, implementing, and maintaining data pipelines and infrastructure across modern cloud-based platforms.
Day-to-day tasks include building and optimizing Extract Transform Load (ETL) processes, configuring data warehousing solutions, and creating scalable, reliable data models that support analytics and reporting needs.
The person in this role collaborates with product, engineering, and business teams to understand data requirements, ensure data quality, and enable self-service analytics.
They will monitor and troubleshoot data workflows, manage performance and cost optimization in the data stack, and document standards, best practices, and data definitions.
The role also involves evaluating new tools in the modern data ecosystem, contributing to architecture decisions, and supporting secure, compliant data operations.
Qualifications
Strong data engineering skills, including experience with modern data stack tools and cloud-based data platforms.Proficiency in data modeling and designing scalable, well-structured schemas for analytics and reporting use cases.Hands-on experience with Extract Transform Load (ETL) processes and orchestration, focusing on reliability and performance.Experience with data warehousing concepts and implementation, including building and maintaining warehouse layers.Applied data analytics skills, including querying, exploration, and translating data into actionable insights for stakeholders.Proficiency in SQL and at least one programming language commonly used in data engineering (e.g., Python).Experience with version control, CI/CD practices, and infrastructure-as-code tools for data workflows.Understanding of data governance, security, privacy, and best practices for handling sensitive information.Ability to collaborate in remote teams, communicate clearly with technical and non-technical partners, and document work effectively.Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field, or equivalent practical experience.
