Manager, Data Engineering at QGenda

Atlanta, Georgia, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Dec, 25

Salary

0.0

Posted On

20 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Analytics Engineering, Team Leadership, Data Processing, Cloud Computing, Data Warehousing, ETL, Data Modeling, Stakeholder Management, Communication Skills, Problem Solving, Technical Strategy, Data Quality, Observability, Performance Tuning, DevOps

Industry

IT Services and IT Consulting

Description

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 600 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 Data Engineering Manager, you will lead our data analytics team and own the end-to-end data platform that powers reporting, self-service analytics, and data-driven decision making. You’ll set the technical strategy, manage and grow a high-performing team, and partner closely with business units to deliver trusted, timely, and actionable insights. How You’ll Make an Impact Drive Data Engineering Technical Efforts Own the data platform roadmap: ingestion, processing, modeling, governance, and analytics enablement Architect and scale ELT/ETL pipelines and streaming workloads; enforce SLAs for reliability, freshness, and cost efficiency Establish data modeling standards and semantic layers to enable self-service BI Drive Strong Data Engineering Processes Partner with stakeholders to prioritize work, translate requirements into data products, and measure impact Drive best practices for version control, CI/CD, Infrastructure as Code, and security/compliance Manage a Team of Data Engineers Lead, mentor, and grow a team of data and analytics engineers to deliver high-quality data products and meet team commitments Perform technical reviews and constructively coach team members Participate in recruiting processes to continue the growth goals of the company Lead Technical Improvement Efforts Implement data quality and observability, and drive root-cause analysis for any incidents Optimize warehouse performance and costs; manage capacity planning and vendor relationships Stay current with major architecture initiatives and advise on technical decisions Continually look for ways to improve our offerings and evaluate new technologies Who You Are Strong critical thinking and problem solving skills Excellent communication skills and upbeat personality Experience You Bring 7+ years in data engineering/analytics engineering; 2+ years leading teams Bachelor’s degree specializing in computing, data engineering, or related field Solid understanding of distributed data processing and performance tuning Production experience with a modern data stack - for example: Cloud: AWS/GCP/Azure Warehouses: Snowflake, Redshift, BigQuery, etc. Orchestration & Transformation: Matillion, dbt, etc. Observability: data lineage/monitoring tools BI: Looker, Tableau, Power BI, etc. DevOps: Git, CI/CD, Terraform/CloudFormation Proven track record delivering reliable, well-modeled datasets that scale with business needs Strong stakeholder management, prioritization, and written/verbal communication skills Comfort balancing hands-on technical work with people leadership and strategy #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 Options to work in a hybrid-working model or remotely from home, depending on the position 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 recruiting@qgenda.com 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.

Responsibilities

Lead the data analytics team and own the end-to-end data platform. Set the technical strategy and partner closely with business units to deliver actionable insights.