TREND Health Partners is a tech-enabled payment integrity company. Our mission is to facilitate collaboration between payers and providers for mutual benefit and waste reduction, ultimately improving access to healthcare. We achieve this by aligning the common goals of payers and providers and fostering collaboration through a shared technology platform and seamless workflows.

Joining TREND Health Partners means becoming part of a dynamic, growing organization that promotes a collaborative and innovative work environment. Our comprehensive compensation package includes competitive salaries, highly valued health insurance, a 401(k) plan with employer match, paid parental leave, and more.

The primary responsibility of the Data Engineer I is supporting the design, development, and maintenance of data pipelines and workflows. This position assists in data integration and transformation processes using tools like Python, T-SQL, SSMS, and Databricks. They collaborate with other Data Engineers to understand technical aspects and architecture design, work with large and complex healthcare data sets, help in translating business requirements into technical specifications, participate in code reviews, and contribute to team knowledge sharing. They also assist in developing and maintaining documentation for data engineering processes and systems.

TREND Health Partners, tech-enabled payment integrity company. Our mission is to facilitate collaboration between payers and providers for mutual benefit and waste reduction, ultimately improving access to healthcare. We achieve this by aligning the common goals of payers and providers and fostering collaboration through a shared technology platform and seamless workflows.
Joining TREND Health Partners means becoming part of a dynamic, growing organization that promotes a collaborative and innovative work environment. Our comprehensive compensation package includes competitive salaries, highly valued health insurance, a 401(k) plan with employer match, paid parental leave, and more.

Support the design, development, and maintenance of data pipelines and workflows

Assist in the data integration and transformation processes using Python, T-SQL, SSMS, and Databricks

Collaborate with other Data Engineers to understand the technical aspects of the stack and the architecture design

Work with large and complex healthcare data sets to identify business needs and provide data-driven solutions

Help in translating business requirements into technical specifications

Participate in code reviews and contribute to team knowledge sharing

Assist in the development and maintenance of documentation for data engineering processes and systems

Create ad-hoc reports requested by internal and external partners

Work as a team to support and troubleshoot errors for 100+ data pipelines

Work closely with the application development team to update data and data structures

Provide analysis, recommendations, and feedback to business process owners, leadership team, and the Information Technology department

Propose automated solutions to repeated development tasks

Qualifications

Bachelor’s degree with major coursework in Computer Science or Business Administration/related field required. Equivalent work experience in a similar position may be substituted for educational requirements

Knowledge of Python, T-SQL, schema design and relational databases

Familiarity with data integration, transformation, and data warehousing concepts

Proficiency in compiling data, creating reports, and presenting information

Ability to effectively prioritize tasks while working on multiple concurrent projects

Strong written, verbal, and customer service skills

Attention to detail

Active learning mindset, understanding the implications of new information for both current and future problem-solving and decision-making

Skilled in critical thinking, using logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems

The ability to come up with unusual or clever ideas about a given topic or situation, or to develop creative ways to solve a problem

Preferred Skills

Some experience working with data in a professional setting

Understanding of data privacy and security regulations

Strong problem-solving skills and attention to detail

Experience with healthcare data

Experience using Agile framework

Experience with software development life cycle tools such as Red-Gate, Bitbucket, or JIRA

Mental and physical demands

This position will be exposed mainly to an indoor office environment and will be expected to work in or around computers and printers

The nature of the work is sedentary, and the employee will be sitting most of the time

Essential physical functions of the job include typing and the repetitive motion to utilize computer software and hardware continuously throughout the day

Essential mental functions of this position include concentrating on analytical tasks, reading information, and verbal/written communication to others continuously throughout the day

Related duties as assigned

This job description documents the general nature and level of work but is not intended to be a comprehensive list of activities, duties, or responsibilities required for this position. Consequently, employees may be asked to perform other duties as required

Employees may also be asked to complete certain compliance requirements set forth by our Business Partners in the performance of their jobs including but not limited to requests for background and drug screenings and disclosures of personal health information or personally identifiable information

Exemptions as provided under the ADA and TITLE VII of the Civil Rights Act will be observed and followed

Reasonable accommodations may be made to enable individuals with disabilities to perform the functions outlined above

Data Engineer I (US Remote)

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