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Senior Data Engineer Job Opening In Vapi – Now Hiring HealthyMe AI


Job description

About the Role

We are seeking a Senior Data Engineer with deep expertise in building data pipelines and integrating healthcare data.

You will report to the Head of AI and Engineering and be responsible for designing, building, and operating the backbone of our AI-powered applications.

This is a critical role where you will create scalable pipelines that process clinical encounter data, retrieve associated medical documents, and deliver validated information to our machine learning systems for inference.

You will work in close collaboration with software engineers, ML specialists, and our clinical partners to bring our vision to life.


What you’ll do
  • Design, build, and operate scalable, event-driven data pipelines that support real-time clinical workflows.
  • Integrate with EHR/EMR systems (e.G., Epic) using standards such as FHIR and HL7.
  • Develop reliable systems to ingest, track, and update clinical events in real-time
  • Ensure downstream ML systems receive high-quality, structured data for inference and decision support.
  • Establish observability, monitoring, and error handling for robust pipeline performance.
  • Collaborate with ML engineers to align data flows with model needs (e.G., document ingestion, embedding storage, inference triggers).
  • Continuously improve pipeline design to maximize scalability, resilience, and automation.


What we’re looking for
  • 5+ years of experience building and maintaining production-grade data pipelines.
  • Strong background in workflow orchestration and event-driven systems.
  • Proficiency with relational databases and SQL (e.G., Postgres) as well as handling unstructured data.
  • Experience operating in cloud environments and working with distributed, highly available systems.
  • Track record of delivering data infrastructure that supports ML or analytics applications.
  • Excellent communication and collaboration skills;
    able to drive projects independently while working as part of a cross-functional team.
Bonus
  • Knowledge of HIPAA and healthcare data security/privacy requirements.
  • Familiarity with FHIR/HL7 data modeling in production settings.
  • Experience supporting machine learning inference pipelines in real-world applications.
  • Expertise with image data
  • Exposure to vector databases, embedding stores, or document retrieval systems.
  • Background in healthcare IT, clinical workflows, or health data analytics.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


Real-time Senior Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Data in Vapi, India, highlighting market share and opportunities for professionals in Senior Data roles.

474364 Jobs in India
474364
2691 Jobs in Vapi
2691
Download Senior Data Jobs Trends in Vapi and India

Are You Looking for Senior Data Engineer Job?

Great news! is currently hiring and seeking a Senior Data Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at HealthyMe AI adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Senior Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Vapi. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Senior Data Engineer?

Key qualifications for Senior Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Senior Data Engineer?

To improve your chances of getting hired for Senior Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Senior Data Engineer Job Success

HealthyMe AI interview tips for Senior Data Engineer

Here are some tips to help you prepare for and ace your Senior Data Engineer job interview:

Before the Interview:

Research: Learn about the HealthyMe AI's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Data Engineer interview at HealthyMe AI, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the HealthyMe AI's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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