Welldoc Inc’s Reporting and Visualization team is hiring an Analytics Engineer in Columbia, MD (onsite). In this role, you will help shape a scalable analytics data model and deliver a reusable consumption layer that supports both self-service reporting and AI-driven applications.

You will work with data analysts, data engineers, and business stakeholders to convert stakeholder needs into technical requirements, then build and maintain the transformations, pipelines, and data quality capabilities needed for reliable analytics at scale.

Job overview

Lead the design and buildout of Welldoc’s analytics data model with a focus on a strong, scalable consumption layer.
Translate stakeholder needs into clear technical requirements for downstream analytics and consumption.
Evaluate existing data structures and recommend changes to improve scalability, usability, and performance.
Support BI tools and AI applications by designing and maintaining the consumption layer and underlying data transformations.

Responsibilities

Serve as a thought leader for planning and executing the new data model, emphasizing the consumption layer.
Partner with cross-functional teams to gather requirements and ensure downstream analyses meet business needs.
Identify and recommend analytics engineering work to support reporting, visualization, and AI use cases.
Apply software engineering best practices to optimize performance of data pipelines and automate analytics workflows.
Evaluate additional tools and technologies for fit within the evolving data and analytics tech stack.
Improve data quality, accessibility, and governance by implementing data quality checks and monitoring accuracy, completeness, and reliability.
Contribute to data team best practices, workflows, and documentation for a sustainable, scalable data function.
Troubleshoot data issues and clearly communicate root causes and resolutions to internal stakeholders.
Optimize performance and scalability of data infrastructure as data volumes and business needs grow.

Requirements

3-5 years demonstrated experience designing and building data models and transformation pipelines for analytics use cases.
At least 3 years hands-on experience with Databricks, including building consumption layers used by AI tools and BI/reporting tools.
Ability to work independently and make sound judgment calls in ambiguous, fast-moving situations.
Proven ability to translate business and stakeholder needs into well-scoped technical requirements.
Strong software engineering fundamentals for data workflows, including version control, testing, modular design, and automation.
Experience evaluating data architecture and recommending structural improvements.
Comfort evaluating and recommending new tools and technologies as the data stack evolves.
Excellent collaboration and communication skills across data engineering, analytics, and business teams.
A proactive, ownership-driven mindset.

Technology

Databricks

Education

Bachelor’s degree in Computer Science, Data Science, or Business Analytics is preferred.
A Master’s Degree in a relevant field may substitute for some required experience.

Compliance environment

Welldoc operates in ISO 13485 and MDSAP regulated and HITRUST and SOC 2 Type II compliant environments. Employees are expected to have prior experience working in those environments or complete training to understand the requirements needed to support those requirements and culture as they relate to the role.

Compensation & benefits

Salary range: USD 110,000 - 130,000 per year
Generous PTO
Medical, dental, and vision care
Life and disability insurance
Retirement benefits
Opportunity to participate in health savings accounts and/or dependent care accounts
Most candidates are expected to fall around the midpoint of the range; exceptional candidates may exceed the range based on education and experience.

After receipt of a conditional offer of employment, you may be required to complete and clear a multi-panel drug screening process.

Analytics Engineer

Job Description