Engineer, Data

Concentra•Addison, TX

27d•Onsite

About The Position

The Data Engineer is primarily focused on analytical processes with ability to implement databasesolutions and best practices in the realm of data science and machine learning projects. Essentialsoftware engineering skills with strong foundational knowledge on data movement and orchestration bothon-premises and cloud environment. The Data Engineer supports and aligns with business decisionswithin Concentra by analyzing raw data, constructing, and maintaining data systems, and improving dataquality and efficiency. Implements programming languages to develop and test architectures that enablesdata operations for predictive (i.e., machine learning/AI) or prescriptive modeling. This Data Engineer willbe within the Data Science Team.

Requirements

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 Softwaredevelopment / 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 andFlexibility
Ability to make decisions or solve problems by using logic to identify key facts, explore alternatives, and propose quality solutions
Outstanding customer service skills as well as the ability to deal with people in a manner which showstact and professionalism
The ability to properly handle sensitive and confidential information (including HIPAA and PHI) inaccordance with federal and state laws and company policies
The hiring process requires passing a full technical assessment and interview which arecompleted 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, andVisualStudio
Ability to understand and interact with use of cloud technology such as Azure, AWS and/or GCPis 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 proposequality 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

Nice To Haves

Azure experience is preferred with working knowledge on Azure Data Factory, Azure WebApplication, Azure ML platforms

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 predictiveand prescriptive modeling
Follow enterprise project life cycle and prepare for integration and user acceptance testingmethods.
Take accountability and responsibility of assigned work, maintain communication with team
Curiosity with identifying opportunities for data acquisition and understanding of data domainknowledge
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
Proactive identification of issues and opportunities that will have an impact on the business use ofdata/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