The Lead Software Engineer provides technical leadership for Lincoln Financial Data Strategy and Delivery team. This role designs, builds, and maintains scalable data pipelines and optimizes data systems, with deep experience in Aurora PostgreSQL and Amazon Redshift and strong knowledge of AWS services including Glue, Lambda, S3, Athena, and EC2.
Locations (4)
Radnor, Pennsylvania, United States
Charlotte, North Carolina, United States
Fort Wayne, Indiana, United States
Greensboro, North Carolina, United States
Compensation
The pay range for this position is $120,375 - $192,600 with anticipated pay for new hires between the minimum and midpoint of the range and could vary above and below the listed range as permitted by applicable law.
Responsibilities
Lead and prioritize work, own delivery, set standards and a clear technical vision, review code, mentor engineers, and grow future leaders.
Design, build, and maintain robust batch and streaming data pipelines (including change data capture, for example AWS DMS) to support business intelligence and analytics.
Integrate structured and unstructured data from internal and external sources.
Develop ETL workflows using AWS Glue, Lambda, custom Python, PySpark, and SQL-based scripts.
Analyze database workloads and optimize queries, indexing, partitioning, and storage in Aurora PostgreSQL and Amazon Redshift for integrity, performance, and cost.
Requirements
Bachelor’s degree (or equivalent) in Computer Science, Information Systems, Engineering, or a related field
Lead and perform hands‑on development of scalable, cloud‑native data engineering solutions for PwC’s SAP data and analytics consulting services.
Responsibilities
Lead and perform hands‑on development of data engineering solutions, writing clean, efficient, and maintainable code in Python, PySpark, and other relevant programming languages.
Design, develop, and deploy cloud‑native solutions on AWS, leveraging Compute services (EC2, Lambda) and Storage services (S3) to build scalable data platforms.
Design and manage database solutions using RDS, Aurora, Postgres, and DynamoDB to support structured and unstructured data workloads.
Build and orchestrate data workflows using Apache Airflow, AWS Step Functions, and SNS for reliable, automated pipeline execution.
Develop and optimize ETL/analytics pipelines using AWS Glue, EMR, Athena, and Redshift for large‑scale data processing and analytics.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Lead and perform hands‑on development of scalable, cloud‑native data engineering solutions.
Responsibilities
Lead and perform hands‑on development of data engineering solutions, writing clean, efficient, and maintainable code in Python, PySpark, and other relevant programming languages.
Design, develop, and deploy cloud‑native solutions on AWS, leveraging Compute services (EC2, Lambda) and Storage services (S3) to build scalable data platforms.
Design and manage database solutions using RDS, Aurora, Postgres, and DynamoDB to support structured and unstructured data workloads.
Build and orchestrate data workflows using Apache Airflow, AWS Step Functions, and SNS for reliable, automated pipeline execution.
Develop and optimize ETL/analytics pipelines using AWS Glue, EMR, Athena, and Redshift for large‑scale data processing and analytics.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
Nice to have: API integration patterns
Nice to have: SSO (Single Sign-On) implementations
Nice to have: streaming technologies (Kafka, Kinesis)
Participar en un proyecto estratégico del ámbito de datos en Latinoamérica, colaborando en iniciativas de migración y gobierno de datos, garantizando la seguridad, automatización y correcta operación de entornos cloud.
Responsibilities
Participar en las iniciativas de migración de datos en los diferentes países de LATAM
Administrar, configurar y optimizar servicios AWS relacionados con las plataformas de datos
Gestionar y mantener entornos basados en AWS DMS (Database Migration Service) para procesos de replicación e integración de datos
Definir e implementar buenas prácticas de seguridad cloud y DevSecOps
Gestionar permisos, accesos y políticas de seguridad bajo el principio de mínimo privilegio
Lead the design, configuration, and implementation of a new Snowflake data environment within a FedRAMP-compliant AWS landscape, owning the architecture roadmap and guiding technical decisions.
Compensation
Pay Rate: $110.00 - $120/hour
Responsibilities
Design and build Snowflake data platforms from the ground up
Define foundational data models that scale with new applications
Recommend ingestion and orchestration tools
Configure data solutions to meet FedRAMP or similar federal compliance standards
AI Data Engineer focused on AWS, Python and Agentic AI
Responsibilities
Designing and building MCP servers, tools, and integrations
Creating reusable Kiro steering rules, specifications, development patterns, and engineering standards
Building agentic workflows and tool orchestration, particularly where AI agents interact with AWS services, data platforms, APIs, and enterprise systems
Applying AI-assisted engineering throughout the SDLC, from requirements/specification → code generation → review/testing → deployment and operational support
Requirements
Nice to have: Kiro
Nice to have: Claude Code
Nice to have: MCP
Nice to have: AWS certification (Data Engineer, Developer, or Solutions Architect)
The role involves being an AI Data Engineer focused on AWS, Python, and Agentic AI to build agentic workflows, MCP servers, and scalable data pipelines.
Responsibilities
Use Strands Agents SDK or comparable agent-development frameworks/SDKs
Designing and building MCP servers, tools, and integrations
Creating reusable Kiro steering rules, specifications, development patterns, and engineering standards
Building agentic workflows and tool orchestration, particularly where AI agents interact with AWS services, data platforms, APIs, and enterprise systems
Applying AI-assisted engineering throughout the SDLC, from requirements/specification → code generation → review/testing → deployment and operational support
Requirements
Nice to have: TypeScript
Nice to have: Model Context Protocol (MCP)
Nice to have: AWS Certified Data Engineer, Developer, or Solutions Architect
The Database Administrator/Database Engineer (DBA/DE) is responsible for ensuring the stability, performance, and security of the databases and data, supporting databases across platforms and products both in the cloud and on-premises.
Compensation
Pay Range Minimum: $117,600.00 annual
Pay Range Maximum: $124,800.00 annual
Responsibilities
Design, deploy, configure, maintain, and deprecate database environments, databases, data schema, and data elements
Develop and assist with SQL query design for applications and reporting
Recommend, design, implement, and maintain automation to reduce repetitive software development and maintenance tasks
Maintain configuration and management of databases across Non-Prod and Prod environments
Implement and maintain regular database backup and retention plans
Requirements
Bachelor’s degree in Engineering, Computer Science, Math/Statistics, Business
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