Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
A
AssistRx
Senior Manger, Data Engineering
Career Insights for Data Engineer
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Florida data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$112,386 / year median in Florida
+12% projected growth
Job Description
Senior Manger, Data Engineering AssistRx - 2.4 Maitland, FL Job Details Full-time $136,000 - $170,000 a year 22 hours ago Benefits Disability insurance Health insurance Dental insurance Vision insurance 401(k) matching Qualifications Data model design Commercial use (data warehousing systems) Staff supervision Data Integration (Data management) Data modeling projects Managing projects in an engineering role Managing IT teams Managing data teams Schema design SQL Data Architecture Design (Architecture design skills) ETL process automation Cloud database architecture Leading team collaboration initiatives Managing projects Technical architecture Project stakeholder communication Cross-functional communication Senior leadership Stakeholder management Database software proficiency Full Job Description The Senior Manager, Data Engineering leads a team of data engineers responsible for designing, building, and operating the scalable data pipelines, architectures, and platforms that power AssistRx's data-driven initiatives. This role blends hands-on technical leadership with people management, owning delivery across multiple concurrent client implementations and internal data programs. Partnering closely with product, analytics, engineering, and business stakeholders, the Senior Manager translates strategic priorities into executable engineering roadmaps, develops talent, and ensures the team consistently delivers reliable, high-quality, and compliant data solutions. This role is accountable for both the technical health of the data platform and the growth and performance of the engineering team. Team Leadership & People Management Lead, mentor, and develop a team of data engineers, setting clear goals, expectations, and growth plans. Conduct performance reviews, provide ongoing coaching, and support career development across the team. Manage resourcing, capacity planning, and workload balancing across multiple projects and clients. Foster a collaborative, inclusive, and high-performing engineering culture. Delivery & Execution Management Own end-to-end delivery of data engineering initiatives, ensuring quality, timeliness, and alignment with business goals. Plan, prioritize, and track team workstreams across client onboarding, migrations, and platform enhancements. Remove blockers, manage risks and dependencies, and escalate issues appropriately to leadership. Partner with project and program managers to set realistic timelines and commitments. Technical Oversight & Architecture Provide technical direction for ETL/ELT development using Azure Data Factory, dbt, Snowflake, Salesforce, and related platforms. Review and guide data architecture, models, warehouses, data lakes, and data vault designs for scalability and maintainability. Ensure adoption of engineering best practices for integration, transformation, testing, and deployment. Make build-versus-buy and tooling recommendations in partnership with the Director. Data Quality, Governance & Compliance Ensure robust data quality frameworks, validation, and monitoring are implemented across pipelines. Uphold data accuracy, integrity, security, and compliance, including PHI/PII considerations. Establish standards and documentation for data flows, architecture, and transformations. Drive resolution of performance, reliability, and cost-efficiency issues across the platform. Stakeholder Engagement & Collaboration Partner with BI, analytics, product, and business teams to align data solutions with reporting and consumption needs. Communicate progress, risks, and technical concepts clearly to both technical and non-technical stakeholders. Contribute to roadmap planning and prioritization of data initiatives across the organization. Continuous Improvement & Innovation Identify and implement improvements to engineering processes, automation, and operational efficiency. Evaluate emerging tools, technologies, and frameworks to advance team capability. Stay current with industry trends in data engineering, cloud platforms, and big data technologies. Additional Responsibilities Perform other related duties as assigned by leadership.