Software Engineer 3 (Data focus)

JOB SUMMARY

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 that integrate, 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).

curation processes to support both operational and analytical applications.

Quality Assurance to validate and remediate issues in released applications and services.

architecture, module interactions, and data flows for new and existing solutions.

traceability, maintainability, and clarity across development teams.

guidelines aligned with enterprise development policies.

pipelines, and data workflows are stable, secure, and optimized.

reliability, and confirm that solutions meet business requirements.

data integration, and automation.

performance, scalability, and maintainability.

formats.

programming and scripting languages within an AWS serverless environment (Lambda, API

Gateway, S3, DynamoDB, Glue, Athena, Step Functions).

curation processes to support both operational and analytical applications.

KNOWLEDGE, SKILLS AND ABILITIES

within the AWS cloud ecosystem, including Lambda (Python), API Gateway, and S3 for large-

scale data processing and transformation.

as Glue, Athena, Step Functions, and DynamoDB, enabling scalable ingestion, cleansing, and

integration of diverse datasets.

opportunities, and to materialize analytical findings into engineered solutions that drive

measurable business impact.

(DynamoDB) and relational systems (SQL Server via pymssql), ensuring performance and

reliability in analytical workloads.

through integration with QuickSight, Athena, and downstream analytics environments.

systems using CloudWatch, log aggregation tools, and event-driven frameworks.

HIPAA, PHI, and PII standards, ensuring security and trust in all data handling processes.

validation and regression frameworks to ensure the accuracy and integrity of data solutions.

version-controlled data engineering deployments.

analytical results and datasets accessible to other systems and applications.

scientists, analysts, and software engineers to deliver actionable insights.

solving, and solution ownership from concept through implementation.

analytical modeling, and modern data engineering techniques.

that data assets drive business value.

engineering initiatives, from design to deployment and continuous improvement.

EDUCATION AND TRAINING

Required Skills :

Basic Qualification :

Additional Skills :

Background Check : No

Drug Screen : No