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Engineer, Data - Clinical Analytics

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Overview

The Data Engineer - Clinical Analytics 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 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.

Responsibilities

•Analyze, develop, combine raw information, and maintain various data sources •Identify opportunities for data acquisition and collaborate with Application owners and Subject Matter Experts (SME) to document data domain knowledge •Implement ETL methods to prepare both structured and unstructured data for predictive and prescriptive modeling •Leverage data serialization techniques to meet project needs for use in various reporting platforms •Understand enterprise project life cycle and prepare for integration and user acceptance testing methods. •Produce technical documentation by following enterprise standards and guidelines •Participate in relevant information-sharing activities •Proactive identification of issues and opportunities that will have an impact on the business use of reports and ensure managerial awareness •Understand troubleshooting and resolutions processes

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 in Computer Science or Computer Engineering preferred

Degree must be from an accredited college or university.

Job-Related Experience•Customarily has at least 6 months to 1 year in software development and data pipelines •Relational Database exposure/experience •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 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

•Ability to write SQL queries, develop and tune query performance •Develop skills for appropriate use of technology to align with project needs •Familiarize and scale tools such as: SQL Server, SSIS, Python, Azure, Docker, Git, and Visual Studio •Ability to understand and interact with cloud technology such as: Azure, AWS and/or GCP preferred •Understand data management process •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 make decisions or solve problems by using logic to identify key facts •Highly organized •Good communication skills to effectively speak and write in a clear and professional manner •Skilled at listening, understanding and providing feedback

Additional Data

Employee Benefits

401(k) Retirement Plan with Employer Match
Medical, Vision, Prescription, Telehealth, & Dental Plans
Life & Disability Insurance
Paid Time Off
Colleague Referral Bonus Program
Tuition Reimbursement
Commuter Benefits
Dependent Care Spending Account
Employee Discounts

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation, if required.

*This job requires access to confidential and sensitive information, requiring ongoing discretion and secure information management*

Concentra is an Equal Opportunity Employer, including disability/veterans

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Average salary estimate

$80000 / YEARLY (est.)

min

max

$70000K

$90000K

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What You Should Know About Engineer, Data - Clinical Analytics, Concentra

Are you ready to take the next step in your career as a Data Engineer? Join Concentra in Addison as a Data Engineer - Clinical Analytics! In this dynamic role, you'll focus on analytical processes, crafting database solutions that leverage your expertise in data science and machine learning. We're seeking someone with solid software engineering skills and foundational knowledge of data movement and orchestration, whether in the cloud or on-premises. By analyzing raw data and improving data quality, you will support key business decisions, making a big impact on our operations. You'll work with various data sources, collaborate closely with application owners, and implement ETL methods to prepare data for cutting-edge predictive modeling. Using your skills in languages like SQL and tools such as Azure, Docker, and Python, you'll contribute to the data landscape at Concentra. This is more than just a job; it's an opportunity to dive into complex problem-solving and help enhance our data initiatives. We value attention to detail, a service mentality, and the drive to innovate. If you're passionate about data and eager to join a team that’s changing healthcare analytics, we want to hear from you!

Frequently Asked Questions (FAQs) for Engineer, Data - Clinical Analytics Role at Concentra

What are the primary responsibilities of the Data Engineer - Clinical Analytics at Concentra?

As a Data Engineer - Clinical Analytics at Concentra, you'll be responsible for analyzing and maintaining various data sources, implementing ETL methods for data preparation, and collaborating with application owners to document data domain knowledge. Your work will be central to developing data solutions that support predictive modeling initiatives, ensuring the highest quality of data for business decisions.