Healthcare Data Engineer

Jobot; Houston (TX); Remote; USD 110,000 - 160,000; Full time

Benefits offered by this job

Great work-life balance

Strong collaborative culture

Great benefits

Impactful projects

Job summary

An established industry player in healthcare is seeking a skilled data integration specialist to enhance their data ingestion pipeline. This role offers the opportunity to work with a modern technical stack, including Azure, Python, and various data formats, while collaborating with a dedicated team. You will play a vital role in impactful projects that significantly improve patient care. Join a forward-thinking company that values work-life balance and offers a strong collaborative culture. If you are passionate about using technology to make a difference in healthcare, this is the perfect opportunity for you.

Qualifications

• 3+ years of experience in Enterprise Data Integration Tools and Python.
• Familiarity with healthcare interoperability standards and DevOps practices.

Responsibilities

• Collaborate with a team to enhance data ingestion pipelines.
• Work with relational databases and convert healthcare data formats.

Skills

Enterprise Data Integration Tools

Python

SQL

MySQL

HL7

JSON

XML

Data Visualization

Education

Bachelor’s degree in computer science

Bachelor’s degree in Information Technology

Tools

SSIS

Azure Data Factory

Power BI

SSRS

Docker

Kubernetes

Jenkins

Github

Job description

This company is a value-based care provider that manages a number of data ingestion points for third-party API integration. Great work-life balance and remote work!

Job Details

Salary: $110,000 - $160,000 per year

A Bit About Us
This company provides services for acute care, palliative care, home care, and additional healthcare services. This team is building out new functionality for their data ingestion pipeline. They currently are managed and hosted in an Azure instance and from a stack perspective are working in HL7, Azure Data Factory, Python, and SSIS. This role will collaborate with a team of others!

Why join us?

• Strong collaborative culture
• Great benefits
• Impactful projects that have a real difference-making ability in the care of patients
• Modern technical stack with forward-thinking technical culture

Required Qualifications

• Education: Bachelor’s degree in computer science, Information Technology, or a related field.
• 3+ years of experience using Enterprise Data Integration Tools such as SSIS, Azure Data Factory, and Python.
• Experience with reading health care claims and clinical data in XML, HL7, JSON source format and converting them into relational database objects.
• 3+ years of experience working directly in relational databases as well as working familiarity with SQL and MySQL, technologies, data structures, creating stored procedures, functions, views, and concept of version control.
• Familiarity with visualization tools such as Power BI and SSRS.

Preferred Qualifications

• Familiarity with CMS and Value Based Care programs such as MSSP and ACO REACH.
• Knowledge of healthcare interoperability standards (e.g., HL7, FHIR).
• Experience with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins, Github).
• Familiarity with Agile development methodologies.
• 3+ years of Experience with HL7 Message Parsing.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.