
201 - 500 employees
🏥 Healthcare
📦 Logistics
🏭 Manufacturing
Healthcare • Logistics • Manufacturing
Intellect Solutions LLC is a professional services company specializing in IT systems design, development, testing, and maintenance. They offer a wide range of services including software and systems development, cybersecurity, IT infrastructure support, Salesforce consulting, and cloud computing advisory. The company is known for its expertise in program management and independent verification and validation testing. Intellect Solutions is actively involved with Federal Government contracts and has secured agreements such as the U. S. Coast Guard ITSS and DHA Pharmacy Operations Support Contract. Certified in various ISO standards, Intellect Solutions positions itself as a reliable partner for IT solutions and consultancy.
🕒 July 27
Where this job comes from
Posted on Intellect Solutions LLC's careers page, not through a job board
First seen by Remote Rocketship July 27
Still open on Intellect Solutions LLC's site. Checked 5 hours ago.

201 - 500 employees
🏥 Healthcare
📦 Logistics
🏭 Manufacturing
Healthcare • Logistics • Manufacturing
Intellect Solutions LLC is a professional services company specializing in IT systems design, development, testing, and maintenance. They offer a wide range of services including software and systems development, cybersecurity, IT infrastructure support, Salesforce consulting, and cloud computing advisory. The company is known for its expertise in program management and independent verification and validation testing. Intellect Solutions is actively involved with Federal Government contracts and has secured agreements such as the U. S. Coast Guard ITSS and DHA Pharmacy Operations Support Contract. Certified in various ISO standards, Intellect Solutions positions itself as a reliable partner for IT solutions and consultancy.
• Participates in planning, definition, and high-level design of data solutions, exploring alternatives and evaluating new technologies. • Develops and maintains scalable cloud-based data infrastructure, ensuring alignment with the organization's decentralized data management strategy. • Designs and implements ETL pipelines using AWS services (e.g., S3, Redshift, Glue, Lake Formation, Lambda) to support data domain requirements and self-service analytics. • Collaborates with data domain teams to design and deploy domain-specific data products, adhering to organizational standards for schema design, data transformations, and storage solutions. • Establishes and enforces data governance practices, including compliance with data privacy, access controls, and lineage requirements, across the organization’s data assets. • Maintains a comprehensive data catalog and governance tools, automating workflows to uphold data integrity and ensure discoverability across all domains. • Leads the implementation and ongoing support of data mesh architecture, ensuring seamless integration and data flow across multiple domains. • Ensures the availability and reliability of the organization’s Data Mesh software, managing operations and maintenance of the framework. • Provides guidance and leadership on the cultural adoption of data mesh principles, including organizational training initiatives for data stewards and users. • Communicates effectively with stakeholders to align technical data architecture with business goals, ensuring long-term support for analytics, insights, and innovation. • Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe. • Provide team specific training as needed.
• Experience in Data Architecture: Minimum of eight (8) years of experience designing and implementing data architectures, including large-scale data environments such as data lakes, data warehouses, and data mesh frameworks. • Experience with Cloud Platforms: Minimum of five (5) years of experience working with cloud-based data platforms (e.g., AWS, Azure, Google Cloud), particularly for data storage, processing, and analytics. • Leadership and Team Management: Demonstrated two (2) years of experience leading and mentoring data engineering teams, fostering collaboration, and ensuring successful project execution. • Education: A bachelor’s or master’s degree in computer science, Information Systems, Data Engineering, or a related technical field, preferred.
Apply NowImprove your chances of getting an interview by checking your resume score before you apply.
🕒 July 27
Semantic Data and AI Engineer at Enterprise Knowledge, designing and deploying data governance solutions. Collaborate on innovative projects and apply AI methodologies with various organizations.
🕒 July 27
Cloud Data Engineer responsible for building scalable data platforms using Snowflake and Databricks. Collaborating with analytics and engineering teams in a remote role.
🕒 July 27
AI Data Engineer designing and building data pipelines that support machine learning systems at LAK Technology. Collaborating with cross-functional teams to ensure efficient data flows in cloud environments.
🕒 July 27
Data Engineer managing and processing data for IPinfo's location and context products. Focus on understanding and organizing large datasets, utilizing AI tools and geospatial data.
🇺🇸 United States – Remote
💰 Non equity assistance on 2018-04
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🕒 July 27
BigData / Hadoop Engineer with Azure required to design and maintain data pipeline architecture. Collaborate with data science teams to optimize and scale analytics in cloud-based environments.