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Python Healthcare Jobs in Dallas, TX (NOW HIRING)

At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose ... Python / SQL-based modeling frameworks * ML/AI and LLM-enabled analytics (including RAG ...

Senior Data Engineer

Plano, TX ยท Hybrid

$101K - $137K/yr

We deliver a connected healthcare experience for over a quarter million members and 60+ companies ... Data Pipelines - Create new pipelines and improve/maintain existing pipelines using Spark (Python ...

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Python Healthcare information

See Dallas, TX salary details

$13

$57

$85

How much do python healthcare jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for python healthcare in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on in a Python Healthcare role?

As a Python Healthcare professional, you may work on projects such as developing data pipelines to handle electronic health records, creating algorithms to analyze patient data, building machine learning models for clinical predictions, or implementing interoperable healthcare applications. You'll often be part of interdisciplinary teams, collaborating with data scientists, clinicians, and IT specialists to translate healthcare needs into effective technical solutions. On a typical day, you might clean and preprocess large datasets, write and optimize Python scripts, and troubleshoot software integration issues. Gaining hands-on experience with healthcare datasets and championing data privacy are also key aspects of the role, making it both challenging and rewarding.

What are the key skills and qualifications needed to thrive in the Python Healthcare position, and why are they important?

To thrive in a Python Healthcare role, you need strong programming skills in Python, knowledge of healthcare data standards (like HL7 or FHIR), and experience with data analysis or machine learning, often supported by a degree in computer science, health informatics, or a related field. Familiarity with databases, cloud platforms, and healthcare information systems, as well as certifications in health IT or analytics, are commonly required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with clinical and technical teams. These skills are crucial for developing reliable solutions that improve patient outcomes and streamline healthcare operations.

What is a Python Healthcare job?

A Python Healthcare job involves using Python programming to develop software solutions in the healthcare industry. This can include data analysis, automation, electronic health record (EHR) management, medical imaging, and AI-driven diagnostics. Professionals in this field work with healthcare data, ensuring compliance with regulations like HIPAA while improving efficiency and patient outcomes. They may collaborate with data scientists, medical professionals, and IT teams to create innovative healthcare tools and applications.

What are popular job titles related to Python Healthcare jobs in Dallas, TX? For Python Healthcare jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Python Healthcare jobs in Dallas, TX look for? The top searched job categories for Python Healthcare jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Python Healthcare jobs? Cities near Dallas, TX with the most Python Healthcare job openings:
Infographic showing various Python Healthcare job openings in Dallas, TX as of July 2026, with employment types broken down into 1% Locum Tenens, 2% As Needed, 74% Full Time, 12% Part Time, and 11% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.
Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences

Sr. Forward Deployed Engineer (FDE) - Healthcare & Life Sciences

Databricks

Dallas, TX โ€ข On-site

$103K - $142K/yr

Other

Re-posted 10 days ago


Job description

CSQ127R310

Candidates located anywhere within the Central or Eastern Time Zones are also eligible for consideration for this role.

As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data.ย 

This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy.

The impact you will have:

  • Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration
  • Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer
  • Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
  • Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices.
  • Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
  • Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
  • Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact.
  • Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap.

What we look for:

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks
  • Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps, ML/AI models and AI APIs
  • Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces.
  • Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions.
  • Documentation and white-boarding skills.
  • Experience working with enterprise clients and managing conflicts across a broad stakeholder range
  • Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks-based solutions to complete customer projects.
  • Travel to customers 20% of the time
  • Databricks Certification