Modmed

Senior Data Analytics Engineer

United States · Work style not stated · Full time

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

  • EmployerModmed
  • LocationUnited States
  • Work styleWork style not stated
  • Employment typeFull time
  • Employer posted

Join the Team Modernizing Medicine

At ModMed, we’re not just building software—we’re reimagining the healthcare experience. Founded in 2010 by a practicing physician and a successful tech entrepreneur, we took a radically different approach: we hired doctors and taught them how to code. This "for doctors, by doctors" philosophy has allowed us to create an AI-enabled, specialty-specific cloud platform that places patients at the center of care.

A Culture of Excellence

When you join ModMed, you’re joining an award-winning team recognized for innovation and employee satisfaction. From our global headquarters in Boca Raton Florida, and extensive employee base in Hyderabad India, we are a team of 4,500+ passionate problem-solvers on a mission to increase medical practice success and improve patient outcomes:

Consistently ranked as a Top Place to Work

2025 Globee Business Awards: Gold Globee for “Technology Team of the Year”

Show full description

2025 Black Book Awards: Ranked #1 EHR in 11 Specialties

Florida Venture Forum: Venture-Backed Company of the Year

We are growing fast, thinking big, and we are just getting started.

Ready to modernize medicine with us?

Job Description Summary:

Senior Analytics Engineer

We’re looking for a creative and driven Senior Analytics Engineer to join our high-performing Data Analytics team in a fast-paced Healthcare IT environment.

This is a hands-on role for someone who’s passionate about turning complex business questions into elegant data models and actionable insights. You’ll partner with stakeholders across the company to shape data into a strategic asset and help us unlock the power of analytics and AI to drive decisions and innovation.

What You'll Do

Partner with business teams to deeply understand their goals and translate them into elegant, scalable data solutions.

Design and implement trusted data models (dimensional/star schemas) to support self-service analytics and robust decision-making.

Bring clarity to complexity: translate raw data into intuitive stories, metrics, and visualizations that inspire action.

Drive adoption of the Enterprise Data Model; build, extend, and maintain scalable dbt pipelines.

Explore GenAI and ML opportunities to enhance our data products.

Support CRM, marketing, and customer-facing teams with custom analytics solutions.

Contribute to our DataOps culture by championing reliability, reproducibility, and automation across the stack.

Collaborate on enterprise-grade dashboards and visualizations using modern BI tools.

Manage and optimize our Databricks environment

What You Bring

5+ years of experience in data engineering, analytics, or related fields; a proven ability to build and evolve analytics solutions.

Fluency in SQL, dbt, and ideally Python; strong understanding of modern data tooling and engineering principles.

Experience working with Databricks (on AWS preferred).

Curiosity about Generative AI, data products, and how emerging tools can drive business value.

Demonstrated ability to work across business domains (marketing, product, finance, sales, customer success, etc.).

Experience with cloud-native data sources like Salesforce or NetSuite.

Clear, compelling communication—both technical and business-facing.

A product mindset and a passion for continuous learning

Why You’ll Love It Here

You’ll be part of a collaborative and forward-thinking team that values creativity, autonomy, and purpose.

You’ll get to shape meaningful data products in a mission-driven industry.

You’ll grow alongside leaders who care deeply about data, tech, and people.

ModMed Benefits Highlight: At ModMed, we believe it’s important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits:

United States

  • Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution,
  • 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep.
  • Generous Paid Time Off and Paid Parental Leave programs,
  • Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs,
  • Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed,
  • Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning,
  • Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles,
  • Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters.

PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (first.lastname@modmed.com). Please check senders’ email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.

Staying safe while you apply

  • Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
  • Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
  • Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

  • Check the fit.

    Compare the requirements with the experience you have confirmed, including gaps.

  • Prepare honestly.

    Build interview stories and application drafts from your own evidence.

  • Keep track.

    Save the role and record your own application status and follow-ups.

Create a free workspace or log in.

Data engineer jobs in United States

ROLIVA currently lists 218 open roles like this in United States.

Employers hiring for this

  • Capital One Financial46 open roles
  • The Hartford7 open roles
  • General Motors6 open roles
  • Guidehouse6 open roles
  • ICF6 open roles

Top skills asked for

Listings whose description mentions each term. A mention is not a requirement.

Advertised salary for this role here

These are advertised ranges, not what people are paid.

  • USD a year, after annualising72,000–360,000 (17 listings, 14 employers)

At a glance

  • Employment typeFull time
  • SenioritySenior
  • Employer posted
  • Added to ROLIVA
  • Last checked

Skills in this posting

Skills ROLIVA found in the employer’s own description above. A mention is not a requirement.

SQL Python dbt Salesforce AWS

Explore similar roles

Similar jobs

Hewlett Packard Enterprise

AI/ML Data Engineer

India

Work style not statedFull time

Hewlett Packard Enterprise

Senior Data Engineer

India

Work style not statedFull time

Aristocrat

Data Engineer

United States

HybridFull time