Senior Data Engineer

Senior Data EngineerAtlanta, GeorgiaWho We AreQGenda 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.About Your RoleAs 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 ImpactDeliver High-Quality, Scalable Data Engineering SolutionsArchitect, develop, test, and maintain ELT/ETL pipelines and data workflows supporting high-volume analyticsImplement advanced data processing solutions and observability techniques to ensure data is accurate, fresh, and reliableDesign and refine data models and semantic layers that support analytical self-service and advanced reporting.Build data visualizations and dashboards supporting analytics use casesStrengthen Data Engineering Practices and Technical StandardsTranslate complex business and analytics requirements into efficient, scalable data solutionsApply best practices for version control, documentation, CI/CD, Infrastructure as Code, and data governanceParticipate in code reviews, identify opportunities for architectural improvement, and contribute to continuous improvement effortsCollaborate Across TeamsPartner with data engineers, DBAs, managers, and business stakeholders to deliver high-impact data productsProvide technical guidance, informal mentorship, and support to other engineers in order to elevate team capabilitiesCommunicate technical decisions, risks, and recommendations to both technical and non-technical audiencesDrive Technical ExcellenceOptimize data pipelines and warehouse performance for speed, cost, and scalabilityEvaluate, prototype, and influence adoption of new tools, frameworks, and architectural patterns that enhance the data platformContribute to data observability, incident response, and root-cause analysis for complex data issuesDesign and deliver AI-ready data products, ensuring data structures, metadata, and pipelines are suitable for natural language processing, predictive analytics, and other AI-driven capabilitiesWho You AreExceptional analytical, problem solving, and debugging skillsStrong communication with the ability to simplify and articulate technical conceptsAbility to work collaboratively, influence architecture, and take ownership of deliverablesCommitment to quality, reliability, and continuous improvementExperience You Bring5-7+ years in data engineering/analytics engineering, or related fieldBachelor's degree specializing in computing, data engineering, or related disciplineExpertise in distributed data processing, data modeling, and performance tuningStrong proficiency in SQL and PythonExperience with modern data stack components, such as:Cloud: AWS, GCP, AzureWarehouses: Snowflake, Redshift, BigQuery, etc.Orchestration: Airflow, MWAA, Composer, etc.Transformation: dbt, etc.Observability: data lineage/monitoring toolsBI: Looker, Tableau, Power BI, etc.DevOps: Git, CI/CD, Terraform/CloudFormationNot Required, But Nice to HaveExperience preparing datasets and data structures for AI/ML use cases, including NLP-driven analyticsExperience with Glue, Dataflow#LI-HybridApplicants 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 YouWe 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 insuranceGenerous paid time off (PTO) policy to enjoy periods of uninterrupted rest and relaxation for a healthy work/life balancePaid parental leave for birth, adoption or permanent placement401(k) with company matchAnnual Costco membership, cell phone stipend, commuter benefits, in-office perks and moreQGenda 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 View email address on click.appcast.io 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.