Senior Principal Database Engineer

Mitchell International

Senior Principal Database Engineer

US--Remote

Job ID: 26-19476

Type: Regular Full-Time

# of Openings: 1

Category: Information Technology

Mitchell International, Inc.

Overview

At Enlyte, we combine innovative technology, clinical expertise, and human compassion to help people recover after workplace injuries or auto accidents. We support their journey back to health and wellness through our industry-leading solutions and services. Whether you’re supporting a Fortune 500 client or a local business, developing cutting-edge technology, or providing clinical services you’ll work alongside dedicated professionals who share your commitment to excellence and make a meaningful impact. Join us in fueling our mission to protect dreams and restore lives, while building your career in an environment that values collaboration, innovation, and personal growth.

Be part of a team that makes a real difference.

Responsibilities

This is a remote position and can be located anywhere in the US.

• We are seeking a Principal Data Engineer to design, build, and optimize modern data platforms that power enterprise analytics, reporting, machine learning, and AI initiatives.
• The ideal candidate combines deep technical expertise across cloud platforms, data architecture, and automation with the ability to translate complex business requirements into scalable, high-impact solutions.
• This role will partner closely with business stakeholders, analytics teams, data scientists, architects, and engineering teams to deliver secure, governed, and reliable data products that drive measurable business value.
• The Principal Data Engineer will design and maintain scalable data platforms and pipelines, develop and optimize cloud-based data architectures, and automate infrastructure provisioning using Infrastructure-as-Code tools.
• They will collaborate with data scientists, analysts, architects, and business leaders to gather requirements, troubleshoot complex technical issues, implement data quality controls, and improve platform governance and security.
• The role also involves mentoring engineers, conducting code reviews, evaluating emerging technologies such as GenAI and machine learning, and continuously improving data platform performance, reliability, and cost efficiency across cloud environments including AWS, Snowflake, Azure, and Databricks.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical field
• Equivalent combination of education and relevant work experience may be considered
• Master's degree in Computer Science, Information Systems, Data Science, or related field preferred
• 10+ years of progressive experience in data engineering, analytics engineering, business intelligence, or related technical roles
• Proven track record designing and delivering enterprise-scale data platforms and analytics solutions
• Demonstrated ability to lead technical initiatives and influence architectural decisions
• Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders
• Experience operating in fast-paced, highly collaborative Agile environments
• Ability to independently drive projects from concept through implementation and support
• Strong problem-solving mindset with a focus on business outcomes, automation, and continuous improvement

Data Engineering & Architecture

• Advanced proficiency in SQL and Python
• Experience building and maintaining scalable ETL/ELT pipelines
• Strong expertise in PySpark and distributed data processing
• Experience designing enterprise data models and lakehouse architectures
• Deep understanding of data warehousing, data lakes, and modern data platforms
• Experience implementing data quality, monitoring, and governance frameworks

Cloud & Platform Engineering

• Hands-on experience with AWS services such as S3, IAM, Glue, and Lake Formation
• Experience working with Snowflake, Databricks, Azure, or GCP
• Experience designing secure, scalable cloud-native data architectures
• Understanding of cloud security, identity management, and access controls

Infrastructure & DevOps

• Experience with Terraform or similar Infrastructure-as-Code tools
• Strong Git-based development practices
• Experience implementing CI/CD pipelines and deployment automation
• Knowledge of platform monitoring, optimization, and operational support

Collaboration & Delivery

• Experience partnering with business stakeholders to translate requirements into te