Experity · 19 hours ago
Data Engineering Manager
Atlanta Metro
Full-time
Hybrid
Senior Level
$121K/yr - $166K/yr
5+ years expExperity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. The Data Engineering Manager is responsible for leading a high-performing data engineering team, ensuring the design and delivery of robust data platforms that support patient-centered care and operational efficiency.
Medical DevicePublishingSaaSHealthcareInformation TechnologyElectronic Health Record (EHR)Health CareMedicalOnline PortalsPrimary and Urgent Care
Responsibilities
Lead, coach, and develop a team of data engineers, fostering a culture of ownership, accountability, learning, and continuous improvement
Set clear performance expectations, conduct regular feedback and performance reviews, and actively support career development and growth
Build a collaborative, inclusive, and psychologically safe team environment that encourages innovation and high-quality execution
Anticipate staffing needs, participate in hiring, and ensure the team is appropriately resourced for current and future demands
Own the architecture, design, and delivery of scalable, resilient data pipelines for batch and streaming use cases
Ensure reliable ingestion, transformation, and storage of data across internal and external sources
Establish and enforce engineering standards for code quality, testing, documentation, CI/CD, and operational excellence
Implement robust data validation, testing, monitoring, and alerting to ensure data accuracy, freshness, and reliability
Optimize pipeline performance, cost, latency, and scalability across the data platform
Partner with data leadership, architecture, analytics, and product teams to define and execute the data engineering roadmap aligned to business objectives
Translate business needs into well-defined technical solutions and prioritized delivery plans
Manage project timelines, dependencies, and tradeoffs while balancing speed, quality, and sustainability. Ensure bi-weekly reporting and scorecards to show value and progress Communicate status, risks, and progress clearly to leadership and stakeholders
Collaborate with software engineering, analytics, product, and downstream consumers to ensure data solutions are usable, trusted, and fit for purpose
Enable self-service analytics and data consumption through well-modeled, well-documented, and discoverable data assets
Work closely with architects to evolve platform capabilities around scalability, availability, security, and performance
Ensure compliance with data governance, security, and regulatory requirements (HIPAA and related standards)
Partner with governance and security teams to implement data access controls, lineage, and auditability
Champion data quality, stewardship, and accountability across the organization
Advocate for and evaluate modern data engineering tools, frameworks, and cloud-native technologies
Leverage AI-assisted development, automation, and analytics to improve delivery speed, reliability, and team efficiency
Guide and mentor engineers in the responsible and effective use of AI tools in design, development, testing, and operations
Stay current on industry trends in data engineering, analytics, and AI, translating emerging capabilities into practical improvements
Drive continuous improvement through retrospectives, metrics, automation, and platform evolution
Other duties as assigned
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent combination of education and experience
Five years of experience in data engineering or related technical roles
Two years of people leadership experience managing and developing engineers
Proven experience designing, building, and operating scalable data pipelines and platforms
Strong experience with cloud-based data platforms (AWS preferred; Azure or GCP acceptable)
Hands-on experience with modern data technologies such as Snowflake, Spark, Kafka, and related ecosystems
Strong proficiency in SQL and at least one programming language (Python, .NET, or equivalent)
Experience implementing data quality, governance, and compliance controls
Demonstrated curiosity and learning mindset, particularly around AI-driven development, automation, and analytics
Ability to lead teams through change, adopting new tools and ways of working as technology evolves
Strong communication skills with the ability to translate between technical and business audiences
Demonstrated ability to manage multiple initiatives in a fast-paced, evolving environment
Preferred
Master's degree in Computer Science, Data Engineering, Information Systems, Analytics, or a related field
Benefits
Health, dental/orthodontia, and vision coverage the moment you start.
Synthetic ownership program after one year.
Employee Assistance Program for everything from mental wellness to financial coaching.
Generous PTO, team events, family picnics, and holiday parties.
Development programs designed to help you thrive and grow.
Competitive Compensation: Including quarterly bonuses and 401(k) matching to invest in your future.
Company
Experity
Experity is the combination of DocuTAP and Practice Velocity and provides technology solutions.
501-1000 employees
H1B Sponsorship
Experity has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2)
2024 (4)
2023 (3)
2022 (5)
2021 (4)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
unknown2022-03-01Acquired
Leadership Team
David Stern
CEO
Brian Berning
Chief Financial Officer
Recent News
HealthCareIT News
2025-11-19
Company data provided by crunchbase