Senior Data Engineer

Who We Are

QGenda is redefining healthcare workforce management everywhere care is delivered. We're on a mission to empower the healthcare industry to better onboarding, deploy, and manage their workforce. Over 4,500 healthcare organizations have trusted us to help them make strategic workforce decisions through our unified software platform. With more than 800 employees across the US, we are united in our vision and culture to make a difference for our customers, while enjoying the day-to-day.

At QGenda, we value our employees and their contributions toward the success of the business. We strive to create a dynamic work environment that fosters growth, innovation, and collaboration, where employees can be proud of the work they do and the impact it has on the healthcare industry.

QGenda is headquartered in Atlanta.

To learn more about QGenda, visit us at qgenda.com or follow us on Instagram or LinkedIn .

About Your Role

As a Senior Data Engineer, you will design, build, and optimize the data platform, including pipelines, models, and infrastructure that power analytics, reporting, and data-driven decision making across the QGenda product lines. You will serve as a technical leader with the team, contributing to architectural direction, driving best practices, and supporting complex data initiatives. This role requires deep technical expertise, strong cross-functional collaboration, and the ability to deliver scalable, high-performing data systems that meet evolving business needs.

How You’ll Make an Impact

Deliver High-Quality, Scalable Data Engineering Solutions

Architect, develop, test, and maintain ELT/ETL pipelines and data workflows supporting high-volume analytics

Implement advanced data processing solutions and observability techniques to ensure data is accurate, fresh, and reliable

Design and refine data models and semantic layers that support analytical self-service and advanced reporting.

Build data visualizations and dashboards supporting analytics use cases

Strengthen Data Engineering Practices and Technical Standards

Translate complex business and analytics requirements into efficient, scalable data solutions

Apply best practices for version control, documentation, CI/CD, Infrastructure as Code, and data governance

Participate in code reviews, identify opportunities for architectural improvement,, and contribute to continuous improvement efforts

Collaborate Across Teams

Partner with data engineers, DBAs, managers, and business stakeholders to deliver high-impact data products

Provide technical guidance, informal mentorship, and support to other engineers in order to elevate team capabilities

Communicate technical decisions, risks, and recommendations to both technical and non-technical audiences

Drive Technical Excellence

Optimize data pipelines and warehouse performance for speed, cost, and scalability

Evaluate, prototype, and influence adoption of new tools, frameworks, and architectural patterns that enhance the data platform

Contribute to data observability, incident response, and root-cause analysis for complex data issues

Design and deliver AI-ready data products, ensuring data structures, metadata, and pipelines are suitable for natural language processing, predictive analytics, and other AI-driven capabilities

Who You Are

Exceptional analytical, problem solving, and debugging skills

Strong communication with the ability to simplify and articulate technical concepts

Ability to work collaboratively, influence architecture, and take ownership of deliverables

Commitment to quality, reliability, and continuous improvement

Experience You Bring

5-7+ years in data engineering/analytics engineering, or related field

Bachelor’s degree specializing in computing, data engineering, or related discipline

Expertise in distributed data processing, data modeling, and performance tuning

Strong proficiency in SQL and Python

Experience with modern data stack components, such as:

Cloud: AWS, GCP, Azure

Warehouses: Snowflake, Redshift, BigQuery, etc.

Orchestration: Airflow, MWAA, Composer, etc.

Transformation: dbt, etc.

Observability: data lineage/monitoring tools

BI: Looker, Tableau, Power BI, etc.

DevOps: Git, CI/CD, Terraform/CloudFormation

Not Required, But Nice to Have

Experience preparing datasets and data structures for AI/ML use cases, including NLP-driven analytics

Experience with Glue, Dataflow

#LI-Hybrid

Applicants for this position must be authorized to work for any employer in the United States (U.S.), including being located in the US. We are unable to sponsor, take over sponsorship of, or hire candidates with an employment visa at this time.

What’s In It For You

We offer a comprehensive total rewards package to support our full-time employees and their family’s day-to-day needs, well-being and major life events, which includes:

Fully company-paid options for medical (both in-person and virtual), dental and vision insurance

Generous paid time off (PTO) policy to enjoy periods of uninterrupted rest and relaxation for a healthy work/life balance

Paid parental leave for birth, adoption or permanent placement

401(k) with company match

Annual Costco membership, cell phone stipend, commuter benefits, in-office perks and more

QGenda delivers technology solutions to improve how healthcare is delivered and increase access — for everyone. We can only succeed by bringing together diverse minds, thoughts, ideas and team members to create better solutions for our customers and make us a better company as a whole. We are committed to creating a culture of embracing diversity, inclusion and equity for all.

QGenda is an Equal Employment Opportunity employer and makes all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, natural origin, ancestry, age, marital status, disability or genetic information, military status, status as a disabled or protected veteran or any other protected status under applicable law.

If you require accommodations or assistance to complete the online application process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. We will respond to your email promptly.