This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AWS/ETL Engineer based in the United States.
The AWS/ETL Engineer will play a hands-on role in designing and delivering a high-volume outbound communications integration for a federal healthcare environment.
You will assess and architect scalable workflows spanning Salesforce, S-Docs, AWS, and a government notification platform.
The role combines solution analysis, cloud integration, data engineering, development, testing, and production deployment.
You will help ensure communications remain reliable, secure, observable, and resilient under high-volume workloads.
Working across technical and business stakeholders, you will translate complex integration requirements into practical architecture and implementation decisions.
This is an individual-contributor opportunity suited to an engineer who enjoys solving complex integration challenges and producing clear technical documentation.
The position is fully remote and offers the opportunity to contribute to technology that directly supports federal services and the people who rely on them.
Accountabilities:
- Assess and validate end-to-end integration architecture across Salesforce, S-Docs, AWS, and the notification-delivery platform, with particular attention to scalability, throughput, latency, fault tolerance, security, auditability, and observability.
- Evaluate document-generation workflows, data dependencies, automation triggers, governance controls, API capabilities, queueing strategies, and peak-load requirements.
- Analyze AWS Lambda, API Gateway, SQS, dead-letter queues, monitoring, and related services to ensure reliable transformation, routing, and delivery of high-volume communications.
- Document architectural findings, risks, decisions, data flows, sequence diagrams, and technical considerations for technical teams, business stakeholders, support groups, and governance reviews.
- Build and refine data models, integration components, orchestration, error-handling logic, and workflows connecting Salesforce, AWS, and the notification platform.
- Develop Salesforce and S-Docs capabilities for template automation, email request generation, outbound callouts, inbound delivery-status processing, dashboards, and reporting.
- Implement and configure AWS components including API Gateway endpoints, Lambda functions, SQS queues, DLQs, S3, IAM, CloudWatch logging and monitoring, and supporting delivery services.
- Execute unit, integration, end-to-end, and high-volume performance testing to validate reliability and production readiness.
- Deploy solutions through CI/CD pipelines across development, QA, UAT, and production environments while establishing appropriate monitoring, alerting, and operational controls.
- Produce technical documentation, operational runbooks, and support procedures, and provide knowledge transfer and training to administrators and support teams.
Requirements:
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related field, or equivalent professional experience.
- Experience in data engineering, systems integration, ETL development, and/or cloud infrastructure.
- Hands-on expertise with AWS services such as Lambda, API Gateway, SQS and DLQ patterns, S3, IAM, and CloudWatch.
- Experience with Salesforce integration patterns, including inbound and outbound callouts, Apex, Flow automation, and document-generation platforms such as S-Docs, Conga, or Nintex Drawloop.
- Working knowledge of notification and delivery-status APIs, with the ability to quickly learn specialized government notification platforms.
- Proficiency in SQL and at least one scripting or programming language used for integration and data processing, such as Python or Apex.
- Demonstrated experience across the full testing lifecycle, including unit, integration, end-to-end, load, and performance testing, as well as CI/CD deployment across multiple environments.
- Experience working in federal government IT environments, with familiarity with security and compliance frameworks such as FISMA, FedRAMP, and NIST 800-53.
- Strong architectural documentation and communication skills, including the ability to create data-flow diagrams, sequence diagrams, decision logs, and technical recommendations for both technical and non-technical audiences.
- Ability to obtain and maintain a Public Trust clearance and meet U.S. Citizenship requirements associated with the federal contract.
- Salesforce certifications such as Platform Developer I/II, Salesforce Administrator, or Integration Architect and/or an AWS Certified Solutions Architect credential are advantageous.
- Experience with S-Docs or comparable document-generation tools, government notification APIs, VA-specific technology environments, or federal healthcare systems is highly desirable.
- Familiarity with Terraform, AWS CloudFormation, Jenkins, GitLab CI, AWS CodePipeline, CloudWatch, X-Ray, Splunk, or other infrastructure, CI/CD, and observability tools is a plus.
- Experience supporting Authority to Operate (ATO) processes, governance reviews, or federal IT organizations is an additional advantage.
- Strong problem-solving, organization, communication, and stakeholder-management skills, with the ability to work independently in a complex technical environment.
Benefits:
- Salary: $60,000–$130,000 USD, depending on qualifications and experience.
- Work arrangement: Fully remote within the United States.
- Employment: Full-time position.
- Mission-driven work: Opportunity to contribute to secure technology solutions supporting federal services and large-scale communications.
- Technical exposure: Hands-on work across AWS, Salesforce, ETL, cloud integration, automation, CI/CD, observability, and high-volume distributed systems.
- Professional development: Opportunity to deepen expertise in federal cloud environments, secure integrations, and modern data engineering practices.
- Equal opportunity: Employment consideration is provided without discrimination based on protected characteristics.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
