The Senior Data Engineer will own the full lifecycle of business intelligence delivery, building and maintaining ETL pipelines in AWS and designing interactive dashboards in Amazon QuickSight.
Responsibilities
Design, build, and maintain AWS Glue (PySpark) ETL jobs that ingest data from multiple source systems such as Salesforce, JIRA, Azure DevOps, and Zendesk into a layered data lake architecture.
Develop and optimize AWS Step Functions workflows for pipeline orchestration, including parallel execution, error handling, retry logic, and concurrency management.
Implement incremental loading strategies, schema evolution handling, and data quality checks within Glue scripts.
Work with Apache Iceberg table format on S3 for ACID-compliant analytics tables, including MERGE operations, compaction, snapshot expiration, and orphan file cleanup.
Integrate supporting AWS services such as EventBridge, SQS, SNS, Athena, and CloudWatch into pipeline architectures.
This role provides the most senior level IT technical lead services, directing technology strategy across platforms and teams, while delivering user-centric full-stack solutions and managing scalable backend integration.
Responsibilities
Provides senior-level technical leadership for complex software, middleware, and hardware initiatives across multiple platforms.
Delivers high-impact architectural design, development, and maintenance solutions.
Ensures viability and effectiveness of IT deliverables by evaluating development options, approving architectural decisions, conducting functionality and security testing, and overseeing production support.
Resolves complex technical problems, performs root cause analysis, and proactively mitigates risks introduced by less experienced staff.
Anticipates and prevents potential system failures.
Requirements
Bachelor’s degree (B.E./B.Tech) in relevant fields such as Computer Science, IT, or Software Engineering
Lead AI-first platform work at the intersection of agentic systems and production infrastructure, designing and shipping systems that enable agents and LLMs to perform real work within a high-volume product.
Support the FM&C infrastructure team assisting multiple ASA-FM&C cloud systems involving Microsoft, Linux, and various cloud native services hosted in AWS.
Responsibilities
Create, maintain, and monitor AWS accounts in the cARMY environment
Provide cloud and administrative support to system implementation teams
Coordinate higher level changes across cARMY teams
Provide consistent and reliable cloud ops support
Support system deployments to multiple environments (DEV, TEST, PROD, and more)
Requirements
Nice to have: DoD Cybersecurity Policy DoDI 8500.01
Nice to have: DoD Risk Management Framework
Nice to have: Application deployment in DoD environments
Build and ship features for an AI-enabled revenue cycle management platform, including full-stack development, event-driven services, integrations, and AI agent orchestration.
Locations (2)
Chicago, Illinois, United States
United States
Compensation
The target base compensation for this position is $130,000 to $160,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.
Responsibilities
Build and ship features across a full-stack RCM worklist platform, from the user interface through backend services, APIs, and the data model
Develop event-driven services and workflows that route, prioritize, and track work across people and AI agents
Help build the shared automation foundation: the queues, state, and handoff logic that let an AI agent pick up a work item, finish it, or hand it back to a person, along with audit history, approval gates, and access controls for agent actions
Build and maintain integrations that connect the platform with EverHealth products, our clearinghouse, and third-party systems
Seeking a Software Engineer III to focus on EverHealth’s revenue cycle management (RCM) platform, building AI-enabled tools and automation foundations.
Locations (2)
Denver, Colorado, United States
Chicago, Illinois, United States
Compensation
The target base compensation for this position is $130,000 to $160,000 USD per year in most US locations.
Responsibilities
Build and ship features across a full-stack RCM worklist platform, from the user interface through backend services, APIs, and the data model
Develop event-driven services and workflows that route, prioritize, and track work across people and AI agents
Help build the shared automation foundation: the queues, state, and handoff logic that let an AI agent pick up a work item, finish it, or hand it back to a person
Build and maintain integrations that connect the platform with EverHealth products, our clearinghouse, and third-party systems
Build the platform services that run, coordinate, and monitor AI agents, including guardrails, human review steps, and observability
Lead the architecture, automation, and governance of enterprise CI/CD pipelines across Salesforce, AWS cloud infrastructure, and supporting data ecosystems, including Snowflake.
Compensation
$80-$85 per hour
Responsibilities
Lead architecture, automation, and governance of enterprise CI/CD pipelines across Salesforce, AWS, and supporting data ecosystems including Snowflake
Design and maintain automated CI/CD pipelines across Salesforce using Copado, AWS workloads using GitHub Actions and AWS CodePipeline, and analytics environments
Architect automated release workflows in Copado, standardizing deployment stages, metadata validations, and org-to-org synchronization
Develop, test, and deploy serverless applications and backend microservices in AWS using Python or Node.js and services including AWS Lambda, API Gateway, SQS, SNS, and EventBridge
Build and maintain event-driven integrations and secure data ingestion workflows connecting Salesforce, AWS storage and compute services, and Snowflake
Requirements
Bachelor's or master's degree in computer science, information technology, or a related field
Nice to have: Salesforce DX
Nice to have: Metadata API management
Nice to have: Snowflake schema migrations
Nice to have: AWS Certified DevOps Engineer certification
Architect, build, and optimize resilient services and automation tools that accelerate MDR and IR service delivery.
Compensation
The annual salary range for this role, depending on location, is:
United States: $164,600.00 - 222,600.00 USD Annual
Responsibilities
Architect, design, maintain, and monitor highly available, scalable services and internal tools utilizing an AI-first software development lifecycle.
Partner with stakeholders and program management teams to capture operational pain points, translate requirements into technical architecture, and scope delivery milestones.
Collaborate cross-functionally with broader product and platform engineering teams to integrate shared platform services and enhance service delivery efficiency.
Drive technical excellence and robust engineering standards across microservices, cloud infrastructure, and modern deployment pipelines.
Champion pragmatic automated testing, monitoring, and observability strategies to ensure uptime, system health, and rapid incident resolution across production workloads.
Senior Solution Architect serving as a technical authority for complex enterprise opportunities, owning architecture across telephony, networking, VDI, public cloud, APIs, and AI-powered solutions.
Responsibilities
Lead technical discovery, architecture, whiteboarding, customized demonstrations, trial engagements, and value assessments
Own end-to-end enterprise voice architecture across SIP trunking, WebRTC, Session Border Controllers, media paths, codec strategy, transcoding, failover, and carrier interconnect
Drive network architecture decisions across OSPF, BGP, MPLS, SD-WAN, NAT/CGNAT, QoS, and firewall concepts
Architect VDI and AWS solutions using technologies including EC2, Lambda, and EventBridge
Design API and integration architectures spanning RESTful APIs, webhooks, event-driven patterns, authentication, and error handling
Requirements
Bachelor's degree in Electrical Engineering, Computer Science, or a related field
Lead a technical team to build and maintain data platform solutions for fraud-related data assets, driving cloud-native engineering practices and DevSecOps.
Compensation
Great compensation package and discretionary bonus plan
Responsibilities
Lead and support an agile technical team delivering data platform solutions
Help guide the delivery of AWS-based data pipelines, data lake components and producer-side data platform capability
Support the handover, ownership, maintenance and enhancement of pipelines and cloud components
Lead the team in building, testing and maintaining high-quality data pipelines
Ensure metadata is prepared and published accurately
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