Software Engineer 3 (Data focus)

Software Data Engineer III

This position is responsible for the design, development, and support of software applications and data services that deliver scalable and reliable business solutions. The Software Data Engineer III builds and maintains AWS-native, serverless applications thatintegrate, process, and expose high-quality data across systems. The role includes developing data ingestion, transformation, and curation capabilities that enable applications and analytics. The engineer collaborates with product teams and IT partners to ensure solutions are well-architected, observable, secure, and aligned with organizational goals.

Essential Job Functions And Responsibilities

• 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.

Knowledge, Skills And Abilities

-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.

Education And Training

-Bachelors 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.

-Or equivalent combination of education and/or experience.