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Manager, Data Engineering

I. Job Summary

Overview of Position

The Manager, Data Engineering is a pivotal leadership role responsible for the architecture, design, and delivery of Medifast’s enterprise data ecosystem. This individual leads a high-performing team to build scalable data pipelines and cloud-based infrastructure (AWS) that power business insights, advanced analytics, and ML/AI initiatives. Acting as a bridge between complex technical architecture and strategic business needs, the Manager ensures that data platforms are reliable, secure, and accessible, while fostering operational excellence and mentoring senior technical talent.

Opportunity Highlights
  • Lead high-impact data engineering and integration initiatives supporting enterprise analytics and business insights
  • Provide technical and people leadership within a modern, cloud-based data platform environment
  • Drive architecture, delivery, and operational excellence for scalable, reliable data solutions
  • Partner with cross-functional stakeholders to translate business needs into production-ready data platforms
  • Evaluate and introduce new data technologies to improve performance, reliability, and cost efficiency
  • Champion the 'Simplifying' value by reducing architectural complexity and improving data accessibility across the enterprise.

II. Job Responsibilities

Technical Leadership & Solution Delivery
  • Translate defined business and analytics requirements into scalable, reliable, and high-performance data engineering and integration solutions.
  • Provide technical and architectural leadership to ensure data platforms meet established performance, availability, security, and compliance standards.
  • Provide hands-on technical guidance and support for complex data engineering issues as required.
  • Accountable for the architecture, design, delivery, and support of systems integration, data warehouse, business insights, and ML/AI use cases.
Stakeholder & Requirements Management
  • Partner with cross-functional stakeholders to translate business needs into production-ready data platforms.
  • Plan and oversee delivery of data engineering initiatives, including effort estimation, prioritization, vendor coordination, and issue escalation.
  • Ensure data integration services are reliable, secure, scalable, and fit for purpose.
People Management & Leadership
  • Manage assigned data engineering staff, including work allocation, performance evaluations, coaching, and merit-based compensation recommendations.
  • Lead agile delivery execution and support continuous improvement of data engineering processes, platforms, and practices.
  • Foster a culture of technical excellence and professional growth within the data engineering team.
Operational Excellence & Support
  • Ensure operational support and stability through established monitoring, logging, alerting, incident management, and 24x7 support processes.
  • Ensure adherence to change management, release, and deployment standards to minimize operational risk and service disruption.
  • Identify and implement technology initiatives to improve platform reliability, scalability, and cost efficiency.
Continuous Improvement & Innovation
  • Evaluate and introduce new data technologies to improve performance, reliability, and cost efficiency.
  • Champion the 'Simplifying' value by reducing architectural complexity and improving data accessibility across the enterprise.

III. Scope

Under the guidance of leadership, the role leads and/or participates in multiple concurrent data and analytics initiatives. The position partners closely with business stakeholders to manage reporting and business-insights requirements across functions.

The role establishes team priorities, ensures efficient and high-quality delivery, and manages stakeholder expectations. Scope of responsibility includes coordinating cross-functional and geographically distributed resources, overseeing vendor partners, and ensuring adherence to delivery timelines, service reliability, and established standards and processes.

The role directly manages a small team of senior technical resources across data engineering, business intelligence engineering, and software engineering focused on data platform capabilities.

The position also conducts performance reviews for assigned team members and provides input and recommendations related to merit-based compensation adjustments, in alignment with company guidelines and leadership direction.

IV. Knowledge, Education, Skills & Abilities

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or closely related field is required; Master’s degree preferred
  • 5 -7 years in data engineering with demonstrable experience in data integration and data warehouse projects
  • 3+ years of strong programming experience using Python and/or Java.
  • 2+ years’ experience leading data engineering teams using ETL/ELT tools and platforms such as Informatica, AWS Lambda, SSIS, AWS Glue, and/or similar cloud-native integration frameworks
  • 5+ years’ experience with DBMS such as Oracle, SQL Server, MySQL, etc.
  • 3+ years of AWS experience with services such as Amazon Redshift, AWS SQS, etc.
  • Experience implementing data quality, monitoring, logging, and alerting practices for data pipelines in production environments
  • Demonstrated ability to communicate complex technical concepts to business and technical stakeholders and translate requirements into scalable solutions
  • Excellent analytical, problem-solving, and conceptual thinking skills
  • Retail/CPG industry experience preferred

At Medifast, Relationships Are At The Center Of What We Do!

We thrive by elevating our connections with one another as well as with our Coaches & Clients. We believe that everyone has the potential to be OUTSTANDING . The Medifast culture is built on seven core values: integrity, courage, teaming, accountability, empowerment, partnership and diversity . These values aren’t just words on a page – they are celebrated as a core part of the company’s philosophy.

We Lead By…

Mastering Relationships: We build trust, promote collaboration and we are reliable.
Being Innovative: We strive to improve things in our areas of influence; test, refine and expand within the business strategy; and reach beyond real and perceived boundaries.
Simplifying: We are committed to making things measurable, repeatable and scalable; focusing on outcomes not activities; and eliminating complexity to increase focus.
Anticipating: We predict long-term business and organizational needs; challenge assumptions; and expect and prepare for the unexpected.

The salary range for this position is:

$147,942.95 - $200,158.11

Medifast (NYSE: MED) is the health and wellness company known for its science-backed, coach-guided lifestyle system. Designed to help address the challenges of metabolic dysfunction, the company’s holistic approach integrates personalized plans, scientifically developed products and a framework for habit creation — all supported by a dedicated network of independent coaches. Driven to improve metabolic health through advanced science and comprehensive behavioral support, Medifast has introduced Metabolic Synchronization™, a breakthrough science that reverses metabolic dysfunction through a targeted reset of the body’s metabolism. Research shows the company’s comprehensive system activates strong and targeted fat burn to enhance metabolic health and body composition by reducing visceral fat, preserving lean mass and protecting muscle. Backed by more than 40 years of clinical heritage, Medifast continues to advance its mission of Lifelong Transformation, Making Healthy Lifestyle Second Nature®. For more information, visit MedifastInc.com and follow Medifast on X and LinkedIn .

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