Software Engineer III – Data Engineering

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Modivcare

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Healthcare Insurance • Transport

Modivcare is a company that focuses on simplifying the experience of living with complex healthcare needs by providing a comprehensive suite of supportive care solutions. They specialize in non-emergency medical transportation, personal care, and virtual & remote patient monitoring. Modivcare works closely with Medicaid Plans, State Agencies, Medicare Advantage, SNP Plans, health systems, healthcare professionals, and transportation providers, ensuring that members receive necessary health services. Through innovative technology and data-driven strategies, they address social determinants of health by offering services like quality transportation, chronic care management, meal delivery, and in-home assistance, aimed at optimizing patients' health outcomes and improving their overall experience.

10,000+ employees

Founded 2017

⚕️ Healthcare Insurance

🚗 Transport

💰 $525M Post-IPO Debt on 2024-07

📋 Description

• Designs, develops, and supports software applications and data-driven services using programming and scripting languages within an AWS serverless environment (Lambda, API Gateway, S3, DynamoDB, Glue, Athena, Step Functions). • Develops and maintains software solutions that integrate data ingestion, transformation, and curation processes to support both operational and analytical applications. • Codes new software components, performs unit and functional testing, and partners with Quality Assurance to validate and remediate issues in released applications and services. • Leads design and technical discussions with architects and peers to define system architecture, module interactions, and data flows for new and existing solutions. • Documents system functionality, design decisions, data models, and test plans to ensure traceability, maintainability, and clarity across development teams. • Works with leadership to establish coding standards, code review practices, and design guidelines aligned with enterprise development policies. • Collaborates with infrastructure and DevOps teams to ensure software deployments, CI/CD pipelines, and data workflows are stable, secure, and optimized. • Partners with end users and product teams to validate data quality, ensure application reliability, and confirm that solutions meet business requirements. • May serve as Scrum Master or sprint facilitator within agile development teams. • Provides technical mentorship to junior engineers, sharing best practices for software design, data integration, and automation. • Researches, evaluates, and implements emerging technologies to enhance software performance, scalability, and maintainability. • Presents technical concepts and solutions to leadership and stakeholders in clear, concise formats. • Participates in other projects or duties as assigned.

🎯 Requirements

• Bachelor's Degree in Computer Science, MIS, or related technical discipline required. • Five (5) plus years of related industry experience. • Previous employment in the healthcare or insurance industry preferred. • Expert-level proficiency in designing, developing, and implementing data engineering solutions within the AWS cloud ecosystem, including Lambda (Python), API Gateway, and S3 for large-scale data processing and transformation. • Deep experience in building and optimizing data pipelines (ETL/ELT) using AWS services such as Glue, Athena, Step Functions, and DynamoDB, enabling scalable ingestion, cleansing, and integration of diverse datasets. • Demonstrated ability to perform complex data analysis to identify trends, anomalies, and opportunities, and to materialize analytical findings into engineered solutions that drive measurable business impact. • Advanced expertise in data modeling, schema design, and query optimization for both NoSQL (DynamoDB) and relational systems (SQL Server via pymssql), ensuring performance and reliability in analytical workloads. • Skilled in developing analytics-ready datasets and enabling data-driven decision-making through integration with QuickSight, Athena, and downstream analytics environments. • Proven experience implementing monitoring, observability, and performance tuning for data systems using CloudWatch, log aggregation tools, and event-driven frameworks. • Strong understanding of data governance, quality assurance, and compliance, including HIPAA, PHI, and PII standards, ensuring security and trust in all data handling processes. • Demonstrates mastery in test-driven data development (TDDD), implementing automated validation and regression frameworks to ensure the accuracy and integrity of data solutions. • Advanced proficiency with CI/CD pipelines, infrastructure as code (IaC), and GitLab for version-controlled data engineering deployments. • Skilled in designing and deploying REST-based APIs and data access layers to make analytical results and datasets accessible to other systems and applications. • Drives data engineering best practices across the team. • Proven ability to translate business questions into data solutions, collaborating with data scientists, analysts, and software engineers to deliver actionable insights. • High responsiveness to evolving business data needs, demonstrating innovation, problem-solving, and solution ownership from concept through implementation. • Serves as a technical mentor and advisor, guiding other engineers on data design principles, analytical modeling, and modern data engineering techniques. • Works cross-functionally to align technical data strategies with organizational goals, ensuring that data assets drive business value. • Self-starter and detail-oriented professional capable of owning the full lifecycle of data engineering initiatives, from design to deployment and continuous improvement.

🏖️ Benefits

• Medical, Dental, and Vision insurance • Employer Paid Basic Life Insurance and AD&D • Voluntary Life Insurance (Employee/Spouse/Child) • Health Care and Dependent Care Flexible Spending Accounts • Pre-Tax and Post-Tax Commuter and Parking Benefits • 401(k) Retirement Savings Plan with Company Match • Paid Time Off • Paid Parental Leave • Short-Term and Long-Term Disability • Tuition Reimbursement • Employee Discounts (retail, hotel, food, restaurants, car rental and much more!)