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).
-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.
-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.
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.
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
JOB SUMMARYThis 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 hi...
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).
-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.
-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.
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.
Required Skills :
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
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