Job Details
Job Id:
11346
Title:
Remote Data Engineer
Job Type:
Permanent
Location:
100% Remote
Description:
Alltech, Inc. is seeking a Remote Data Engineer with healthcare experience for a permanent position with a client building a new data warehouse.
This role is 100% remote, but you must live in one of the following states: Colorado, Florida, Georgia, Illinois, Indiana, Michigan, Minnesota, Missouri, New Jersey, North Carolina, Ohio, Pennsylvania, Tennessee, Virginia, Wisconsin, or Washington, DC.
Client Overview:
Our client is dedicated to leveraging data to drive meaningful insights and transformative solutions in the specialized services/healthcare industry. Improving outcomes by harnessing the power of advanced data engineering and analytics is their goal. The team values innovation, collaboration, and a commitment to excellence in all they do.
Job Purpose/Summary:
This fully remote position involves designing, building, and maintaining scalable data pipelines and architectures to support our healthcare analytics initiatives. The ideal candidate will have extensive healthcare experience in data engineering, particularly within the Azure ecosystem, and a passion for developing robust data solutions. You will also play a crucial role in HR and Finance data modeling building a brand-new data warehouse, helping to shape the future of our client’s data infrastructure.
Key Responsibilities:
• Design and implement scalable data pipelines for both streaming and batch processing, leveraging Azure Data Factory and other relevant technologies.
• Develop and maintain data lake architectures, ensuring efficient load strategies, appropriate file formats, and robust security measures.
• Utilize data platforms such as Synapse, Demio, Fabric, and Snowflake to manage and optimize data storage and retrieval.
• Play a key role in building and architecting a new data warehouse to support advanced analytics and reporting.
• Apply DevOps principles to data engineering tasks, utilizing GitHub or Azure DevOps for version control and CI/CD tooling.
• Employ Infrastructure as Code (IaC) tools such as Terraform, Open Tofu, or Bicep to automate and manage infrastructure deployments.
• Integrate and manage data from various sources, including relational databases (Oracle, SQL Server) and unstructured sources/files/NoSQL.
• Implement data normalization and denormalization practices, including modeling and developing Kimball-style star schemas.
• Collaborate with stakeholders to gather requirements, understand business needs, and develop data solutions that meet those needs.
• Work with healthcare data and adhere to healthcare data standards such as HL7.
• Support MLOps specialists and data scientists in operationalizing machine learning models.
Required Qualifications:
• 5+ years of experience in a Data Engineer role, with 3+ years of experience with Azure.
• Experience with HR data; must be able to build data models with salary history, job changes etc.
• Experience with Finance data; must be able to work with GL P&L data to build data models.
• Experience in Healthcare; must be able to work with data moving to and from the EHR system and build data models to track admissions, discharge, re-admissions etc.
• Proficiency with data platforms like Synapse, Demio, Fabric, or Snowflake.
• Strong knowledge of data lake architectures, load strategies, file formats, and security.
• Expertise in building and monitoring streaming and batch data pipelines with CDC.
• Hands-on experience with DevOps tools and practices, specifically GitHub or Azure DevOps and CI/CD tooling.
• Proficiency with Infrastructure as Code (IaC) tools such as Terraform, Open Tofu, or Bicep.
• Experience with a variety of data sources, including relational databases (Oracle, SQL Server) and unstructured sources/files/NoSQL.
• Understanding of data normalization, denormalization practices, modeling, and Kimball-style star schemas.
• Proven ability to collaborate with stakeholders to gather requirements and develop solutions.
Desired Qualifications:
• AZ-900 certification.
• Experience working with or operationalizing machine learning models.
Education:
• Bachelor’s Degree or higher in Computer Science, Information Systems, or a related field preferred but not required.
Other Requirements:
• Background Check
• Physical that will include a drug screen and TB test
Alltech, Inc. is a leading provider of IT staffing services in Nashville and the surrounding areas. We do contract (Salaried, W-2, 1099 or Corp-to-Corp), contract-to-hire and direct placements within the Information Technology field. Alltech, Inc. offers a full line of benefits to our salaried and W-2 employees through our partnership with Benefit Consultants, Inc.
No visa sponsorship.
No third party recruiters/agencies.