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All (607) 🌍 Worldwide (206) 🇺🇸 US (377) 📍 Location-specific (24)

Today

Senior PeopleSoft Developer – Finance Lead to Cash

Experis Durham, NC 🇺🇸 Remote

Durham, NC

Today

$85 - $89/hr Full time Backend Developer Senior Data Integration

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Job Description

100% remote role in Durham, NC with Experis, supporting Finance Lead to Cash initiatives within the Finance Systems team. This position centers on designing, developing, and supporting PeopleSoft technical solutions across Contracts, Billing, Revenue, and Project Costing, with a focus on integrations, batch processing, and production support. If you value owning technical outcomes end to end, this team role combines hands-on PeopleSoft development with real production impact.

What you’ll do

Design, develop, troubleshoot, and support PeopleSoft technical solutions for Finance Lead to Cash, including customizations, integrations, batch processing, and data movement.
Build and enhance PeopleSoft functionality supporting Contracts, Billing, Revenue, and Project Costing.
Develop and support Integration Broker services, interfaces, and related components to enable inbound and outbound data flows.
Review existing custom code and configurations, then implement changes that address defects, performance, and downstream transaction impacts.
Provide production support by debugging issues, performing transaction analysis across PeopleSoft modules, and supporting unit testing through SIT/UAT and defect resolution.

What you bring

5+ years of hands-on PeopleSoft development experience.
Strong experience with PeopleTools, Application Designer, Application Engine, PeopleCode, Integration Broker, Component Interfaces, and SQL / PeopleSoft data model.
Technical experience supporting Contracts, Billing, Project Costing, and Revenue.
Experience building and troubleshooting inbound/outbound integrations.
Strong debugging and production support skills, including the ability to understand cross-module transaction dependencies and downstream impacts.

Compensation & work details

Location: Durham, NC (remote)
Pay: $85- $89 per hourly on W2

Benefits

Medical and Prescription Drug Plans
Dental Plan
Vision Plan
Health Savings Account
Health Flexible Spending Account
Dependent Care Flexible Spending Account
Supplemental Life Insurance
Short Term and Long Term Disability Insurance
Business Travel Insurance
401(k), Plus Match
Weekly Pay

Upon completion of the waiting period, consultants are eligible for: Medical and Prescription Drug Plans, Dental Plan, Vision Plan, Health Savings Account, Health Flexible Spending Account, Dependent Care Flexible Spending Account, Supplemental Life Insurance, Short Term and Long Term Disability Insurance, Business Travel Insurance, 401(k), Plus Match, and Weekly Pay.

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1d ago

Software Engineer - Python/AWS

Medix Henderson, NV 🇺🇸 Remote

Henderson, NV

1d ago

$105k - $120k/yr Full time Backend Developer APIs AWS

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Job Description

Medix is hiring a remote Software Engineer (Python/AWS) to help build and support backend systems for complex healthcare data. In this role, you will split your time between about 60% development and 40% application support, working with cloud-native services and production systems where reliability matters. The position is based in Henderson, NV (remote), with a salary range of USD 105,000 - 120,000 per year.

Responsibilities

Build and maintain backend services, APIs, serverless functions, and data processing workflows.
Develop application features and integrations using Python, SQL, and AWS.
Work with Lambda, API Gateway, Step Functions, Glue, S3, RDS/Aurora, and Redshift.
Write and optimize SQL queries, views, and stored procedures.
Investigate production issues, resolve defects, and improve application performance and reliability.
Contribute to automated tests, GitHub workflows, CI/CD pipelines, and deployments.
Collaborate with engineers, product partners, and analysts across both development and ongoing support.
Apply appropriate security controls when handling sensitive healthcare information.

Requirements

5+ years of hands-on software or application development experience.
Strong Python, SQL, and AWS skills, including building cloud-native applications.
Experience with relational databases and backend integrations.
Familiarity with source control, automated testing, and CI/CD.
Healthcare data experience; medical or pharmacy claims experience is especially valuable.
Ability to take ownership of work while contributing closely within an established team.

Technologies

Python, SQL, AWS, Lambda, API Gateway, Step Functions, Glue, S3, RDS/Aurora, Redshift, GitHub, CI/CD

California Applicants

Medix will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with applicable federal, state, and local laws, including the City of Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), Los Angeles Fair Chance Ordinance for Employers (ULAC), San Francisco Fair Chance Ordinance (FCO), and the California Fair Chance Act (CFCA).
This position is subject to a background check based on job duties, which may include patient care, working with vulnerable populations, access to financial and confidential information, driving, working with heavy machinery, or working in a warehouse or laboratory environment.

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1d ago

Sr. Engineer - Platform Data Engineer

CrowdStrike Sunnyvale, CA 🇺🇸 Remote

Sunnyvale, CA

1d ago

$164k - $295k/yr Full time Cloud Data Platform Data Engineer Data Engineering

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Job Description

Build and run the data platform that powers CrowdStrike’s analytics ecosystem. As a Sr. Platform Data Engineer in Sunnyvale, CA (remote), you’ll architect, deploy, and operate core data infrastructure and platform services with a focus on reliability, scalability, and performance. This role sits at the intersection of infrastructure and data engineering, where your work helps ensure platform excellence end to end.

What you’ll get at CrowdStrike

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays to support rest and recharge
Paid parental and adoption leaves
Professional development opportunities for all employees, regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Great Place to Work Certified™ across the globe

Responsibilities

Deploy, configure, and administer core platform tooling including Apache Airflow and Superset in production environments
Manage infrastructure-as-code (IaC) for data platform components using Terraform
Build and maintain CI/CD pipelines for platform services and data workflow deployments
Implement and enforce platform security, access controls, and compliance standards
Develop and maintain data models using dbt and catalog assets within OpenMetadata
Write efficient Python code for platform automation and data processing
Mentor junior engineers and provide technical leadership

Requirements

Must be eligible for CJIS clearance (requires U.S. citizenship or Green Card/permanent resident status)
Bachelor’s degree in Computer Science or related field
8+ years of combined infrastructure and data engineering experience
Advanced Python programming (5+ years)
Expert knowledge of Apache Airflow deployment and administration
Strong experience deploying and managing Apache Superset or similar BI platforms
Cloud platform expertise across AWS, GCP, Azure, or OCI including IAM, networking, and managed services
Infrastructure-as-Code proficiency
Container orchestration experience with Kubernetes and/or Docker in production
Knowledge and experience with dbt and OpenMetadata
SQL and data modeling expertise
Experience with data security and compliance requirements
Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency, and drive business outcomes

Bonus points

Master’s degree in a relevant field
Experience with cybersecurity data
Contributions to open-source projects
Knowledge of machine learning pipelines

Salary: USD 164,000 - 295,000 per year. This is a Sr. Platform Data Engineer role supporting CrowdStrike’s core data infrastructure and platform services.

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2d ago

Smile CDR Integration Developer

CAI Remote 🌍 Remote

Remote

2d ago

$62 - $72/hr Full time APIs Data Engineer Data Integration

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Job Description

Join CAI on a remote short-term contract to build scalable healthcare interoperability integrations using Smile CDR and FHIR-based APIs.

Responsibilities

Design and develop Smile CDR integrations and FHIR-based solutions
Build and maintain Apache Camel routes and integration services
Create and support API integrations with internal and external systems
Develop ETL and data ingestion pipelines using PySpark and Python
Implement scalable healthcare interoperability solutions using HL7 FHIR standards (including FHIR R4)
Consume and publish REST APIs across enterprise platforms
Develop and maintain JavaScript-based Smile CDR modules and automation components
Collaborate with architects and business stakeholders to translate requirements into technical solutions
Support testing, deployment, monitoring, and production support activities
Participate in architecture reviews, code reviews, and technical design sessions
Create technical documentation, data mappings, and integration specifications

Requirements

Minimum 5 years of software development experience with Python/PySpark, Java, JavaScript, Apache Camel, REST APIs, JSON, XML, and SQL
Experience with healthcare interoperability standards (FHIR/HL7)
Experience consuming and developing APIs
Strong understanding of distributed integration architectures
Experience with ETL and data engineering practices

Preferred Qualifications

Smile CDR development experience
HL7 FHIR R4 expertise
CMS Interoperability experience
Prior Authorization, Payer-to-Payer, or Provider Access experience
Databricks experience
Hadoop ecosystem experience
GitLab CI/CD experience
Healthcare payer domain experience

Technologies

Smile CDR
Apache Camel
FHIR APIs, HL7 FHIR, FHIR R4
PySpark, Python
Java, JavaScript
REST APIs, JSON, XML
SQL
ETL
Distributed integration architectures
Databricks
Hadoop ecosystem
GitLab CI/CD

Compensation

USD 62 - 72 per hour

Benefits

Medical, dental, and vision insurance
401k retirement account access
Paid sick leave and/or other paid time off as provided by applicable law

Work Authorization

This position does not offer work authorization sponsorship now or in the future

Physical Demands

Ability to safely perform essential job functions consistent with ADA and other federal, state, and local standards
Sedentary work involving sitting or remaining stationary most of the time, with occasional need to move around the office to attend meetings
Ability to conduct repetitive tasks on a computer using a mouse, keyboard, and monitor

Reasonable Accommodation

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, direct inquiries to application.accommodations@cai.io or (888) 824 - 8111.

EEO

CAI is an equal opportunity employer and prohibits discrimination and harassment based on protected characteristics, including disability and protected veteran status. Retaliation for engaging in protected activity is prohibited.

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2d ago

SQL Developer / Database Engineer

i4DM Remote 🌍 Remote

Remote

2d ago

Full time Analytics APIs Automation Developer

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Job Description

Remote SQL Developer / Database Engineer role focused on designing and optimizing SQL databases, data pipelines, and reusable enterprise data products for ATLAS.

Responsibilities

Design, install, configure, maintain, and optimize SQL database systems and related data structures supporting ATLAS.
Develop, maintain, monitor, and troubleshoot ETL/ELT workflows and data pipelines using Azure Data Factory and Synapse Pipelines.
Integrate structured and unstructured data from databases, APIs, cloud platforms, and other enterprise sources into Azure Data Lake Service.
Create and optimize complex SQL queries, stored procedures, and database objects for data conditioning and curation.
Use Databricks and Starburst to query, transform, and integrate distributed data across lakehouse and enterprise data sources.
Investigate data discrepancies, pipeline failures, and performance issues; perform root-cause analysis and implement durable fixes.
Apply data-quality controls and support metadata management and data cataloging with Collibra.
Monitor database and pipeline performance; perform query tuning, indexing, backup, recovery, patching, and reliability improvements.
Support secure, consistent, and compliant access to enterprise data using appropriate identity, authorization, and data-protection controls.
Collaborate with data engineers, analysts, data scientists, and product teams to create consumable data products and enable Azure ML/AI services.
Support reporting and visualization needs using Pyramid Analytics and Power BI, including validation of underlying data structures and accuracy.
Translate business requirements into technical specifications and communicate solutions to technical and non-technical stakeholders.
Document database structures, data mappings, pipelines, operational procedures, and technical decisions.
Participate in Agile/Scrum ceremonies and support continuous improvement of ATLAS data services.

Requirements

Minimum five (5) years of experience in database development, administration, and maintenance.
Strong experience with Microsoft SQL Server, including complex SQL, stored procedures, database design, indexing, optimization, and performance tuning.
Experience developing and troubleshooting data integrations, ETL/ELT processes, and SSIS packages.
Hands-on experience creating, updating, monitoring, and troubleshooting Azure Data Factory and Synapse Pipelines.
Experience with Databricks, Starburst, Azure Data Lake Service, and distributed or large-scale datasets.
Experience with Collibra for data cataloging, metadata management, or data governance.
Experience supporting Azure ML/AI services and preparing reliable data for analytics or machine-learning use cases.
Experience supporting Pyramid Analytics and Power BI visualization solutions and validating source data.
Excellent troubleshooting and root-cause analysis skills.
Ability to understand business requirements and translate them into technical specifications.
Excellent written and verbal communication skills, including the ability to communicate technical details to non-technical users and stakeholders.
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements.

Technologies

SQL Server
Azure Data Factory
Synapse Pipelines
Databricks
Starburst
Azure Data Lake Service
Collibra
Azure ML/AI services
Pyramid Analytics
Power BI
SSIS
Agile/Scrum

Preferred Qualifications

Experience supporting federal agencies, the Department of Veterans Affairs, or other regulated environments.
Experience with enterprise data lakes, lakehouses, Delta Lake, Parquet, and multi-cloud data integration.
Experience working independently and collaboratively within Agile data-product teams.

Location: Remote

Experience level: 5+ years

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3d ago

Senior AI-Augmented Software Engineer

Flexera Software, Inc. Remote 🌍 Remote

Remote

3d ago

Full time Ai Coding Agents APIs Artificial Intelligence

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Job Description

Flexera is hiring a motivated Senior AI-Augmented Software Engineer for an AI-first, small autonomous team model, delivering production software with AI coding agents as part of the daily development workflow.

Responsibilities

Implement product features, APIs, integrations, internal tools, and engineering improvements using the team’s technology stack
Translate requirements and technical designs into small, well-defined implementation tasks
Use AI coding agents to accelerate implementation, explore alternative solutions, generate tests, and improve existing code
Contribute across the software development lifecycle: requirements clarification, design, implementation, testing, deployment, and support
Deliver working software in small increments and incorporate feedback quickly
Own assigned features from initial understanding through production readiness
Use approved AI engineering tools in everyday work, including Claude Code and OpenAI Codex
Provide AI agents with clear objectives, relevant repository context, constraints, and acceptance criteria
Break larger tasks into manageable steps and coordinate multiple AI-assisted tasks when appropriate
Review generated code for correctness, readability, security, performance, and alignment with existing architecture
Spot AI hallucinations, incorrect assumptions, unnecessary complexity, and subtle defects
Use AI to investigate unfamiliar codebases, understand errors, explain complex logic, and speed up learning
Improve workflows by capturing reusable instructions, documenting discoveries, and sharing effective techniques with teammates
Write and maintain unit tests, integration tests, and other appropriate automated checks
Reproduce bugs, identify root causes, and implement durable fixes instead of superficial workarounds
Validate AI-generated code against explicit requirements and expected behavior
Participate in code reviews and respond constructively to feedback
Use automated testing, linting, type checking, and CI/CD pipelines to catch issues early
Follow established security practices and avoid exposing credentials, sensitive information, or production data to unauthorized tools
Help maintain clear documentation and understandable code other engineers can confidently modify
Communicate progress, risks, and blockers early on owned features and technical improvements
Work with the team lead to clarify requirements and make appropriate technical decisions
Collaborate with teammates to review implementations, investigate problems, and share knowledge
Ask thoughtful questions, challenge questionable assumptions, and suggest simpler or better solutions
Participate in technical discussions and contribute ideas that improve the product and development process
Gradually take responsibility for larger features and make more decisions independently as skills develop
Build strong foundations in software design, debugging, testing, security, and system architecture
Learn how to use AI effectively without becoming dependent on code that cannot be explained or maintained
Explore new tools and techniques that improve quality and efficiency of software delivery
Share lessons learned from successful implementations, failed experiments, and production issues
Develop skills to become an independent engineer capable of owning increasingly complex systems

Requirements

Foundational programming experience through professional work, internships, academic projects, or substantial personal projects
Working knowledge of at least one programming language relevant to the team’s technology stack
Understanding of core software engineering concepts: data structures, control flow, APIs, debugging, and version control
Familiarity with Git and collaborative development practices
Ability to break problems into smaller steps, investigate unfamiliar concepts, and learn new technologies independently
Interest in using AI tools to improve software development, including willingness to learn effective prompting, context management, and code validation
Strong analytical thinking and attention to detail
Clear communication skills and ability to ask for help when needed
Sense of ownership, intellectual curiosity, and commitment to delivering reliable software

Technologies

Claude Code
OpenAI Codex
Git
GitHub Copilot
CI/CD
Linting
Type checking

Preferred Qualifications

Hands-on experience with AI coding tools such as Claude Code, OpenAI Codex, GitHub Copilot, or comparable agentic development tools
Experience building applications, APIs, integrations, automation scripts, or other working software
Familiarity with automated testing, CI/CD, cloud platforms, containers, or relational databases
Experience reading, debugging, and extending an existing codebase rather than working exclusively on greenfield projects
Examples of using AI to build a project, solve a difficult technical problem, or improve an existing implementation
Interest in learning multiple layers of the application stack and contributing beyond narrowly defined coding tasks

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3d ago

Full Stack Software Engineer, Support Operations

Clickhouse United States 🇺🇸 Remote

United States

3d ago

$154k - $215k/yr Full time Backend Developer Marketing API Integrations

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Job Description

Build full-stack systems that improve how ClickHouse customers get help, from routing and automation to AI-assisted experiences and production observability.

Responsibilities

Design and develop the systems that connect ClickHouse customers with the teams that support them.
Create intelligent routing and decision systems that choose where work goes and who handles it using many signals at once.
Ensure routing and decision systems adapt as the business scales.
Develop AI-powered customer experiences that understand needs, recommend next steps, and know when to hand off to a human.
Build internal platforms and tooling for Support, RevOps, and GTM teams to help them work faster and more accurately, with production-quality standards.
Implement integrations and data flow across Salesforce, live chat, incident management, Slack, GitHub, and more to keep workflows and data moving cleanly between systems.
Create automation and observability systems to remove repetitive work, highlight what is breaking, and improve confidence in what teams are running.
Partner with core Engineering to ship to production and take ownership of delivered work, including code review, testing, monitoring, and continuous improvement.

Requirements

3–5 years building and shipping full-stack software in production.
Experience with tools such as TypeScript/JavaScript, Node.js, and React (or comparable technologies).
Hands-on experience with APIs, webhooks, and integrations between distributed systems.
Experience close to support workflows, including work as a support or technical support engineer, or building tools or integrations for support, CS, or RevOps teams.
Comfort with Git and safe, version-controlled deployment workflows.
Ability to translate operational needs into solutions that non-engineers can follow.
Self-driven, end-to-end ownership mindset in a remote, globally distributed team.
Day-to-day comfort using AI tools while building, with clarity on where to trust AI outputs.

Technologies

TypeScript
JavaScript
Node.js
React
APIs
Webhooks
Git
Salesforce
Slack
GitHub

Benefits

Employer contributions towards healthcare.
Stock options for every new team member.
Flexible time off in the US; generous entitlement in other countries.
USD $500 home office setup for remote employees.
Opportunities to connect with colleagues at company-wide offsites.

Bonus Points

Experience building LLM-powered features in production (routing, retrieval, evaluation, or observability).
Salesforce platform experience (Apex, LWC, Flows, custom objects) or relevant certifications, or strong appetite to get up to speed quickly.
Support and incident tooling experience: Pylon, incident.io, PagerDuty, Zendesk, Slack APIs, GitHub APIs.
Experience with ClickHouse or other analytical databases.
Experience in an early-stage or greenfield environment, or embedded in a support, RevOps, or business-systems function.

Perks

Flexible work environment: ClickHouse is globally distributed and remote-friendly, operating in over 25 countries.
Healthcare employer contributions.
Equity via stock options for new hires.
Flexible time off in the US and generous entitlement internationally.
USD $500 home office setup for remote employees.
Global gatherings with opportunities to attend company-wide offsites.