Senior Developer 2 for Non-Authoring Backend Logic

Our story At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.” Our Values: Champion People  – be empathetic and help create a place where everyone belongs. Grow with purpose –  Be inspired by our higher calling of improving lives. Be Alight –  act with integrity, be real and empower others. It’s why we’re so driven to connect passion with purpose. Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation. With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work. Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight. Learn more at  careers.alight.com Summary Backend engineer responsible for designing and building cloud-native, event-driven data and analytics services on AWS, with a focus on serverless application development, ETL pipelines, and enabling self-service analytics and reporting in Amazon QuickSight. The engineer will work closely with data, analytics, and product teams to deliver reliable, scalable data services and BI capabilities. Core Responsibilities Design and develop backend services and data APIs and other serverless components to support analytics and application workloads. Build and operate event-driven architectures that integrate S3, EventBridge, SNS/SQS, Lambda, Step Functions, and AWS Glue for near real-time and batch ETL workloads powering QuickSight dashboards and authoring. Implement robust ETL and data integration pipelines using AWS Glue (jobs, workflows, crawlers) to load, transform, and curate data in Amazon Redshift and the broader data warehouse environment. Model, optimize, and manage data structures (star/snowflake schemas, partitioning, distribution/sort keys) in Amazon Redshift and related data stores for performant SQL and BI queries. Enable and support Amazon QuickSight reporting and authoring, including data preparation, semantic modeling, row-level security, and performance tuning for dashboards and analyses. Apply big data analytics best practices for scalable storage and compute (e.g., S3-based data lakes, columnar formats like Parquet, pushdown, partition pruning). Design and implement monitoring, logging, and alerting for event-driven and serverless workloads using CloudWatch, X-Ray, and related services. Collaborate with data engineers, data scientists, and product teams to translate business and AI/analytics requirements into technical designs and working solutions. Contribute to architecture decisions, design reviews, and AWS best-practice adoption (security, IAM, networking, cost optimization, reliability). Mentor other engineers in serverless, data, and AI application patterns, coding standards, and cloud-native design. Requirements: Strong hands-on experience (4-6 Years) building applications and services on Amazon Web Services (AWS), ideally in a cloud application architect or backend engineer capacity. Advanced proficiency in Python for backend development, ETL, and automation (including use within AWS Lambda and AWS Glue jobs). Proven experience with serverless computing on AWS, including Lambda, API Gateway, Step Functions, and event-driven integration patterns. Solid experience designing and maintaining ETL pipelines and data workflows using AWS Glue (jobs, workflows, and crawlers) and related data integration tooling. Strong SQL skills and experience working with analytical databases and data warehouses, especially Amazon Redshift. Practical knowledge of data warehousing concepts (dimensional modeling, fact/dimension design, slowly changing dimensions, data partitioning, and indexing). Experience with big data analytics workloads on AWS (S3-based data lakes, Parquet/ORC, Redshift Spectrum, Athena, or similar). Hands-on experience with Business Intelligence (BI) and data visualization tools, with a preference for Amazon QuickSight (dataset design, dashboards, security). Understanding of cloud infrastructure fundamentals (VPC, subnets, networking, IAM, encryption, security best practices) in AWS. At least one relevant AWS certification (e.g., Solutions Architect, Data Analytics, Developer, or similar) or equivalent practical expertise. Alight requires all virtual interviews to be conducted on video. Flexible Working So that you can be your best at work and home, we consider flexible working arrangements wherever possible.  Alight has been a leader in the flexible workspace and “Top 100 Company for Remote Jobs” 5 years in a row. Benefits We offer programs and plans for a healthy mind, body, wallet and life because it’s important our benefits care for the whole person. Options include a variety of health coverage options, wellbeing and support programs, retirement, vacation and sick leave, maternity, paternity & adoption leave, continuing education and training as well as several voluntary benefit options. By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent with Alight’s employment policies. Background checks may include some or all the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, credit check, and/or drug test.  You will be notified during the hiring process which checks are required by the position. Our commitment to Inclusion We celebrate differences and believ