Overview:
The Data Engineer is primarily focused on analytical processes with ability to implement database
solutions and best practices in the realm of data science and machine learning projects. Essential
software engineering skills with strong foundational knowledge on data movement and orchestration both
on-premises and cloud environment. The Data Engineer supports and aligns with business decisions
within Concentra by analyzing raw data, constructing, and maintaining data systems, and improving data
quality and efficiency. Implements programming languages to develop and test architectures that enables
data operations for predictive (i.e., machine learning/AI) or prescriptive modeling. This Data Engineer will
be within the Data Science Team.

Responsibilities:

• Analyze, develop, combine raw information, and maintain various data sources
• Identify opportunities to improve data quality while build data systems and pipelines
• Understand basic ETL concepts to prepare both structured and unstructured data for predictive

and prescriptive modeling

• Follow enterprise project life cycle and prepare for integration and user acceptance testing

methods.

• Take accountability and responsibility of assigned work, maintain communication with team
• Curiosity with identifying opportunities for data acquisition and understanding of data domain

knowledge

• Collaborate with Business Intelligence (BI) ETL Developers/Data Architect, Data Scientists,

Reporting Analysts, and Subject Matter Experts (SME) to understand businessgoals

• Produce technical documentation by following enterprise standards and guidelines
• Participate in relevant information-sharing activities
• Serve as escalation point for application support and troubleshooting

August 06, 2025

• Proactive identification of issues and opportunities that will have an impact on the business use of

data/reports and ensure managerial awareness

• Daily review outstanding issues to assure that troubleshooting and resolutions are current
• Ensure all changes comply with change management policies and procedures

This job description is not designed to cover or contain a comprehensive listing of activities, duties or
responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may
change at any time with or without notice.
Qualifications:
Education Level: Bachelor’s Degree
Major: Computer Science or Computer Engineering
Degree must be from an accredited college or university.

JOB-RELATED EXPERIENCE

• Customarily has at least one year understanding and working knowledge in Software

development / Data-Centric / Model-Centric pipelines

• Competent with Relational Database concepts
• Documentation and publication

JOB-RELATED SKILLS/COMPETENCIES

• Concentra Core Competencies of Service Mentality, Attention to Detail, Sense of Urgency, Initiative and

Flexibility

• Ability to make decisions or solve problems by using logic to identify key facts, explore alternatives, and

August 06, 2025

propose quality solutions

• Outstanding customer service skills as well as the ability to deal with people in a manner which shows

tact and professionalism

• The ability to properly handle sensitive and confidential information (including HIPAA and PHI) in

accordance with federal and state laws and company policies

• The hiring process requires passing a full technical assessment and interview which are

completed onsite

• Ability to write SQL queries, develop and tune performance
• Develop skills for appropriate use of technology at various levels of development and project
• Learn and familiarize with tools such as SQL Server, SSIS, Python, Azure, Docker, Git, and

VisualStudio

• Azure experience is preferred with working knowledge on Azure Data Factory, Azure Web

Application, Azure ML platforms

• Ability to understand and interact with use of cloud technology such as Azure, AWS and/or GCP

is preferred

• Understand data management process and work with cross-functional teams
• Support current and future initiatives of application development
• Participate in peer-review of codes and maintain repositories
• Concentra Core Competencies of Service Mentality, Attention to Detail, Sense of Urgency,

Initiative and Flexibility

• Ability to solve problems by using logic to identify key facts, explore alternatives, and propose

quality solutions

• Highly organized
• Communication skills to be able to effectively speak and write in a clear and professional manner
• Skilled at listening and providing feedback

Additional Data:

• Analyze, develop, combine raw information, and maintain various data sources
• Identify opportunities to improve data quality while build data systems and pipelines
• Understand basic ETL concepts to prepare both structured and unstructured data for predictiv