Data Engineer

Loyal Source is looking for a Data Engineer for an employment opportunity in Orlando (hybrid), Florida.

About the Role:

We are seeking a skilled Data Engineer to design, develop, and maintain scalable pipelines, optimize data workflows, and support analytics initiatives. In this role, you will play a crucial role in transforming raw data into actionable insights by building robust data infrastructure and collaborating with data analysts, data engineers, and business teams.

Key Responsibilities:

• Develop and maintain ETL/ELT pipelines to support data analytics and business intelligence.
• Provide recommendations and suggestions on data architecture and data warehouse design.
• Optimize and manage data warehouse (Microsoft Fabric) and ensure sufficient data storage and retrieval.
• Collaborate with data engineers and analysts to prepare data for machine learning, reporting, and dashboarding.
• Implement data quality, validation, and governance processes to ensure accuracy and consistency.
• Work with cloud platforms (Microsoft Azure) to manage data processing and storage solutions.
• Develop and optimize SQL queries and other data transformation scripts for performance and scalability.
• Integrate data from multiple sources, including APIs, databases, and third-party services.
• Monitor and troubleshoot data pipelines, ensuring high availability and reliability.
• Implement security best practices to protect sensitive data and ensure compliance with regulations.
• Continuously evaluate and adopt new tools and technologies to improve data processing efficiency.

Required Qualifications:

• Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 5+ years of demonstrated experience in data engineering, ML engineering, or a similar role.
• Strong proficiency in SQL and experience working with relational databases.
• Experience with ETL/ELT tools.
• Hands-on experience with data warehouses and data lakes.
• Proficiency in Python or Scala for data processing and automation.
• Experience with designing and architecting data warehouse and infrastructure.
• Demonstrated experience with PowerBI and how to structure data for reporting.

Additional Qualifications:

• Familiarity with CI/CD practices for data pipeline deployment.
• Experience developing machine learning models.
• Working knowledge of statistics.
• Understanding of data privacy and compliance regulations.

Benefits Offered: Medical, dental, vision, PTO, and holidays.

Pay: Starting at $120.00 per hour, based on experience and qualifications.

About Loyal Source

Loyal Source is an Orlando-based workforce solutions provider dedicated to delivering elite services worldwide, with a focus in government healthcare, technical and support services, engineering, and travel healthcare. Loyal Source provides exceptional custom solutions to both private enterprise and government agencies. Loyal Source is a military-friendly employer and proud partner of the Military Spouse Employment Partnership program.

For more information go to our website www.loyalsource.com and follow us on LinkedIn, Facebook & Twitter for other positions currently open.

Loyal Source does not discriminate in employment based on race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors.

This contractor and subcontractor abides by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.