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🔥 HR Data Engineer
Posted about 7 hours ago

📍 United States

💸 94800.0 - 151400.0 USD per year

🏢 Company: careers_gm

  • 5+ years of experience in HR Data Engineer role leading HR data engineering transformation and implementing data pipelines and data solutions in the People Analytics/HR domain
  • Very good understanding of HR data and HR employee lifecycle processes (talent acquisition, talent development, workforce planning, engagement, employee listening, external benchmarking etc.)
  • Very good understanding of HCM data architecture, models and data pipelines and experience designing and implementing data integrations and ETLs with Workday (RaaS, APIs)
  • Experience designing and automating data and analytics solutions that can provide insights and recommendations at scale
  • Proficiency in SQL, R/Python and ETL tools
  • Deep expertise in modern data platforms (particularly Databricks) and end-to-end data architecture (DLT Streaming Pipelines, Workflows, Notebooks, DeltaLake, Unity Catalog)
  • Experience with different authentication (Basic Auth, Oauth, etc.) and encryption methods and tools (GPG, Voltage, etc.)
  • Very strong data analytics skills and ability to leverage multiple internal and external data sources to enable data-driven insights and inform strategic talent decisions
  • Knowledge of compliance and regulatory requirements associated with data management
  • Experience working in environments requiring strict confidentiality and handling of sensitive data
  • Great communication skills and ability to explain complex technical concepts to non-technical stakeholders.
  • Degree with quantitative focus (e.g., Mathematics, Statistics) and/or degree in Human Resources is a plus
  • Design, develop, and maintain ETL/ELT processes for HR data from multiple systems including Workday to empower data-driven decision-making
  • Drive implementation of robust HR data models and pipelines optimized for reporting and analytics, ensuring data quality, reliability, and security for on-prem and Azure cloud solutions.
  • Develop pipelines and testing automation to ensure HR data quality and integrity across multiple data sources
  • Collaborate with People Analytics and HR business partners to understand data requirements and deliver reliable solutions. Collaborate with technical teams to build the best-in-class data environment and technology stack for People Analytics teams.
  • Ensure data integrity, quality, consistency, security, and compliance (e.g., GDPR, CCPA, HIPAA where applicable).
  • Design and implement secure processes for handling sensitive information in our data tech stack while maintaining appropriate access controls and confidentiality
  • Automate manual HR reporting and improve data accessibility through scalable data pipelines across the entire HR employee lifecycle
  • Troubleshoot and resolve data-related issues quickly and efficiently.
  • Contribute to HR tech stack evaluations and migrations, especially around data capabilities and API integrations.
  • Incorporate external data sources into internal datasets for comprehensive analysis
  • Manage and optimize platform architecture including Databricks environment configuration and performance optimization
  • Stay up to date with emerging trends and advancements in data engineering – both technically and in the HR and People Analytics/sciences domain

AWSPythonSQLApache AirflowETLAPI testingAzureData engineeringNosqlRESTful APIsData visualizationData modelingData analyticsData management

Posted about 7 hours ago
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📍 United States

💸 90000.0 - 110000.0 USD per year

🔍 Banking

  • Strong problem-solving abilities and the capacity to lead strategic implementations that drive client success
  • Experience working in client-facing roles, ideally within professional services, consulting, or technology implementation
  • Familiarity with no-code/low-code platforms and workflow configuration; technical aptitude with business process optimization preferred
  • Experience with financial services, banking operations, or complex B2B software implementations strongly preferred
  • Excellent communication skills and the ability to build trust and credibility with clients ranging from bank executives to operations staff
  • A proactive, results-oriented mindset, with a passion for helping clients achieve their goals through innovative technology solutions
  • Strategic thinking combined with attention to detail—you can see the big picture while ensuring flawless execution
  • A drive for continuous learning and improvement, both for yourself and the clients you support
  • Lead clients through the implementation process, guiding them on best practices for configuring and optimizing workflows using Prelim's no-code platform
  • Manage complex, high-impact projects that enhance essential banking services, including account onboarding, customer maintenance, treasury services, and lending processes
  • Work collaboratively with cross-functional teams, including engineering, product, and customer success, to ensure seamless delivery of Prelim's solutions
  • Serve as a trusted advisor to clients, helping them understand how to fully leverage Prelim's platform to streamline operations and drive measurable business outcomes
  • Analyze client requirements and translate them into effective, scalable workflow configurations that address real-world banking challenges
  • Continuously review and refine workflows to enhance efficiency and value for both internal teams and clients
  • Provide strategic insights and feedback to product teams, contributing to ongoing platform improvements and innovation
  • Build and maintain strong relationships with banking executives and operations teams across multiple client organizations

Project ManagementSQLNosqlCommunication SkillsAnalytical SkillsRESTful APIsClient relationship managementCross-functional collaborationStrategic thinkingData modelingCustomer Success

Posted 1 day ago
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📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Buzz Solutions

  • 8+ years of industry experience with modern systems development, ideally end to end pipelines and applications development
  • Track record of shipping complex backend features end-to-end
  • Ability to translate customer requirements into technical solutions
  • Strong programming and computer science fundamentals and quality standards
  • Experience with Python and modern web frameworks (FastAPI) and Pydantic
  • Experience designing, implementing, and debugging web technologies and server architecture
  • Experience with modern python packaging and distribution (uv, poetry)
  • Deep understanding of distributed systems and scalable architecture
  • Experience building reusable, modular systems that enable rapid development and easy modification
  • Strong experience with data storage systems (PostgreSQL, Redis, BigQuery, MongoDB)
  • Expertise with queuing/streaming systems (RabbitMQ, Kafka, SQS)
  • Expertise with workflow orchestration frameworks (Celery, Temporal, Airflow) and DAG-based processing
  • Proficiency in utilizing and maintaining cloud infrastructure services (Google Cloud/AWS/Azure)
  • Experience with Kubernetes for container orchestration and deployment
  • Solid grasp of system design patterns and tradeoffs
  • Experience and in-depth understanding of AI/ML systems integration
  • Deep understanding of the ML Lifecyle
  • Experience with big data technologies and data pipeline development
  • Experience containerizing and deploying ML applications (Docker) for training and inference workloads
  • Experience with real-time streaming and batch processing systems for ML model workflows
  • Experience with vector databases and search systems for similarity search and embeddings
  • Partner closely with engineering (software, data, and machine learning), product, and design leadership to define product-led growth strategy with an ownership-driven approach
  • Establish best practices, frameworks, and repeatable processes to measure the impact of every feature shipped, taking initiative to identify and solve problems proactively
  • Make effective tradeoffs considering business priorities, user experience, and sustainable technical foundation with a startup mindset focused on rapid iteration and results
  • Develop and lead team execution against both short-term and long-term roadmaps, demonstrating self-starter qualities and end-to-end accountability
  • Mentor and grow team members to be successful contributors while fostering an ownership culture and entrepreneurial thinking
  • Build and maintain backend systems and data pipelines for AI-based software platforms, integrating SQL/NoSQL databases and collaborating with engineering teams to enhance performance
  • Design, deploy, and optimize cloud infrastructure on Google Cloud Platform, including Kubernetes clusters, virtual machines, and cost-effective scalable architecture
  • Implement comprehensive MLOps workflows including model registry, deployment pipelines, monitoring systems for model drift, and CI/CD automation for ML-based backend services
  • Establish robust testing, monitoring, and security frameworks including unit/stress testing, vulnerability assessments, and customer usage analytics
  • Drive technical excellence through documentation, code reviews, standardized practices, and strategic technology stack recommendations

AWSBackend DevelopmentDockerPostgreSQLPythonSQLCloud ComputingGCPKafkaKubernetesMachine LearningMLFlowMongoDBRabbitmqAirflowFastAPIRedisNosqlCI/CDRESTful APIsMicroservices

Posted 1 day ago
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📍 United States of America

🏢 Company: kohlscareers

  • 2+ years of experience in software development
  • Knowledge of application design patterns, event-driven architecture, database schemas and testing strategies
  • Experience in Java and JEE development, Spring Boot, Spring MVC, Spring Batch, Spring Security
  • Develop high-quality applications using extreme programming (XP) practices and a user-centric approach
  • Participate in the entire application lifecycle in collaboration with designers, product managers and other engineers on the product team
  • Leverage critical thinking, experimentation, data and industry best practices to achieve desired business outcomes

Backend DevelopmentSoftware DevelopmentSQLDesign PatternsGitJavaJava EESpring BootSpring MVCRedisNosqlCI/CDRESTful APIs

Posted 1 day ago
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📍 United States, Canada

🧭 Full-Time

💸 140000.0 - 160000.0 USD per year

🔍 Software Development

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed over 2 years agoInternet

  • 5+ years of experience building scalable backend applications and APIs.
  • Proficiency in Go, Python, or Java, with a strong grasp of SQL and NoSQL databases (e.g., Bigtable, BigQuery, DynamoDB).
  • Experience working with cloud infrastructure, preferably AWS or GCP, and CI/CD pipelines.
  • Familiarity with containerization technologies such as Docker and Kubernetes.
  • Strong problem-solving and analytical skills, with the ability to communicate complex concepts clearly.
  • Design and implement ETL pipelines capable of processing large-scale datasets efficiently.
  • Build and maintain robust APIs for data retrieval, including support for complex query types.
  • Architect scalable data storage and retrieval systems using SQL/NoSQL technologies.
  • Transform raw data into structured, high-value data products to support business and operational decisions.
  • Collaborate with internal stakeholders to align data architecture with product and customer needs.
  • Document technical processes and mentor junior team members.
  • Ensure performance, security, and scalability across the data platform.

AWSBackend DevelopmentDockerPythonSQLDynamoDBETLGCPJavaKubernetesAPI testingData engineeringGoNosqlCI/CDRESTful APIsData modelingSoftware EngineeringData analytics

Posted 2 days ago
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📍 United States

🧭 Full-Time

💸 140000.0 - 155000.0 USD per year

🔍 Software Development

🏢 Company: PolarisJobs👥 1-10💰 $200,000 Pre-seed 8 months agoArtificial Intelligence (AI)Human ResourcesSaaSB2B

  • 10+ years of experience in web application development using C#, ASP.NET, MVC, and Visual Studio
  • 2+ years in an Application Architect role
  • Proven experience designing and implementing cloud-native applications on Microsoft Azure, including services like Azure Functions, App Service, API Management, and Service Bus
  • Experience using Azure Data Factory (ADF) to create and orchestrate data pipelines for moving and transforming data between various data stores.
  • Well-versed in front-end framework.
  • Strong understanding of software architecture patterns
  • Proficiency in relational database design and development using SQL Server
  • Demonstrated ability to create and communicate architectural diagrams, technical documentation, and solution blueprints
  • Familiarity with front-end frameworks like Angular and modern JavaScript/TypeScript development
  • Experience with API development, including RESTful and GraphQL APIs
  • Strong understanding of security best practices in application development (e.g., authentication, authorization, data protection)
  • Experience working in agile environments and participating in sprint planning, backlog grooming, and retrospectives
  • Excellent problem-solving, communication, and collaboration skills across technical and non-technical stakeholders
  • Champion enterprise architecture principles, standards, and patterns
  • Design and evolve cloud-native, scalable, and resilient applications
  • Collaborate with Solution Architects to define cross-team architectural strategies
  • Evaluate and recommend system solutions, balancing custom development and third-party tool
  • Lead the design and development of scalable, cloud-native applications using C#, .NET 8, Azure capabilities, and RESTful APIs
  • Architect and implement solutions using Angular and SPA patterns
  • Integrate with Azure services such as Service Bus, API Management, and App Services
  • Ensure application designs are secure, performant, and aligned with enterprise architecture standards
  • Provide technical leadership and mentorship to development teams
  • Participate in agile ceremonies and contribute to sprint planning and retrospectives
  • Collaborate with product owners, UX designers, and stakeholders to refine user experiences
  • Promote a culture of continuous improvement and innovation
  • Leverage AI-assisted development tools such as GitHub Copilot to accelerate coding, improve code quality, and enhance developer productivity across teams
  • Promote best practices for integrating AI tools into the software development lifecycle, including code generation, documentation, and testing
  • Evaluate and recommend emerging AI-driven engineering tools to improve team efficiency and innovation
  • Mentor developers on effective use of AI tools to support clean architecture, maintainability, and consistency in codebases
  • Monitor and reduce technical debt, ensuring long-term maintainability
  • Support and enhance deployed solutions across environments
  • Ensure software meets quality, security, and extensibility standards
  • Create and maintain technical documentation and support tools

GraphQLAgileASP.NETCloud ComputingFrontend DevelopmentMicrosoft .NETSoftware ArchitectureC#API testingAzureAngularNosqlRESTful APIs

Posted 2 days ago
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📍 Brazil

🔍 Wellness

🏢 Company: Wellhub

  • Foundational knowledge of RESTful APIs written in Java/Kotlin + Spring
  • Knowledge on Cloud computing (AWS) and Cloud Native (K8s), willing to learn and get deeper understanding on these topics
  • Experience with SQL technology such as PostgreSQL
  • Experience with NoSQL technology such as DynamoDB
  • Experience with microservices
  • Implement, test and deliver solutions working with a cross-functional team
  • Handle the entire company revenue recognition process and accounting, by creating architectural layers of integration with the company ERP for its global operations

AWSBackend DevelopmentPostgreSQLSQLCloud ComputingDynamoDBJavaKotlinKubernetesSpringNosqlRESTful APIsMicroservicesSoftware Engineering

Posted 2 days ago
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📍 Argentina, Mexico, Colombia, Peru

🧭 Part-Time

🔍 Software Development

🏢 Company: Multiplica Talent👥 101-250Staffing AgencyOutsourcingInformation TechnologyRecruiting

  • Experiencia demostrada como Backend Developer, preferiblemente en un entorno de desarrollo empresarial.
  • Fuerte experiencia en el desarrollo y la integración de APIs, especialmente con Python.
  • Conocimiento sólido de los principios de diseño de software, patrones de diseño y arquitecturas de microservicios.
  • Experiencia previa con Zoho CRM y otras aplicaciones de Zoho (preferido).
  • Competencia en el desarrollo con Python de al menos 3 años.
  • Familiaridad con bases de datos relacionales y no relacionales, así como con herramientas de almacenamiento de datos.
  • Habilidad para trabajar de forma colaborativa en un equipo multidisciplinario.
  • Excelentes habilidades de resolución de problemas y atención al detalle.
  • Buena capacidad de comunicación verbal y escrita en español e inglés.
  • Zoho CRM está hecho en Java (Spring Framework) por lo que dominio en dicho lenguaje sería esencial
  • Colaborar estrechamente con el equipo de desarrollo para mejorar y mantener el desarrollo existente.
  • Integrar APIs de Python en el desarrollo actual para mejorar la funcionalidad y la interoperabilidad.
  • Desarrollar y mantener integraciones entre Zoho CRM, Zoho Bus y Zoho Expense.
  • Diseñar, desarrollar y mantener servicios backend escalables y eficientes.
  • Participar en la planificación, diseño y ejecución de nuevos desarrollos y funcionalidades.
  • Colaborar con otros equipos técnicos para garantizar la coherencia y la calidad del código.
  • Realizar pruebas exhaustivas y resolver problemas para garantizar la estabilidad y la fiabilidad de los sistemas.

Backend DevelopmentPythonSQLDesign PatternsJavaSoftware ArchitectureAPI testingNosqlRESTful APIsMicroservices

Posted 2 days ago
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📍 USA

🧭 Full-Time

🔍 Software Development

🏢 Company: Sift👥 251-500💰 Secondary Market over 3 years agoFraud DetectionBig DataPredictive AnalyticsAnalyticsNetwork Security

  • Strong knowledge of data structures, distributed algorithms, and asynchronous architectures
  • Experience designing and maintaining scalable public APIs
  • Extensive experience using large-scale NoSQL databases like Bigtable, HBase or Cassandra
  • Familiarity with setting up, managing, and deploying to the cloud (e.g. AWS/GCP)
  • Build highly scalable, distributed services that can handle hundreds of millions of events per day.
  • Partner with product management to help scope and shape project requirements.
  • Implement engineering solutions to address complex customer needs at scale.
  • Collaborate with other engineers within the API Platform team as well as across other engineering teams.
  • Help evolve and improve our engineering practices.
  • Document and demonstrate solutions by developing documentation, flowcharts, diagrams, code comments and maintain good code hygiene.

Backend DevelopmentCloud ComputingGCPJavaKafkaKubernetesAlgorithmsAPI testingData StructuresgRPCPostgresREST APINosqlCommunication SkillsCollaborationMicroservicesSoftware Engineering

Posted 3 days ago
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📍 Arkansas, Arizona, California, Colorado, Illinois, Massachusetts, Michigan, Nevada, North Carolina, New Jersey, New York, Tennessee, Texas, Washington

🧭 Full-Time

🏢 Company: Arrived👥 1-50

  • Experience with no-code/low-code tools (Zapier, Retool, Coda, n8n, etc)
  • Know when and software engineer, but can write/debug a solid Python script with the help of AI
  • Comfortable building functional MVPs: shipping fast, iterating, and improving over time
  • Strong with data: fluent in SQL, wrangling spreadsheets, and logic.
  • Have set up ETLs using tools like dbt, Airbyte, Fivetran, or custom scripts
  • Understand API basics (GET/POST, JSON formats), and have hands-on experience working with APIs, webhooks, and lightweight scripting for integrations
  • Know how to design semantic layers and define clean, well-modeled data marts
  • Can take a vague business process and turn it into a repeatable workflow
  • Run end-to-end process-improvement projects – map processes, identify optimization opportunities, and deliver solutions that improve efficiency and effectiveness of teams.
  • Partner cross-functionally & triage requests – act as the connector between Legal, Finance, Investments, Product, and Engineering teams, gathering requirements and scoping solutions that work for all stakeholders.
  • Create internal tooling & automations – build and maintain low-code apps, scripts, and integrations that eliminate manual work and streamline repeatable operational tasks (using tools like Coda, Zapier, n8n, Python scripts).
  • Enable self-service analytics & reporting – work with internal teams to define business-critical metrics and help guide the building of dashboards, reports, and ad-hoc analyses to surface accurate, actionable insights.

AWSProject ManagementPythonSQLApache AirflowETLGitSnowflakeAPI testingData engineeringData StructuresNosqlCommunication SkillsAnalytical SkillsCI/CDProblem SolvingRESTful APIsJSONCross-functional collaborationData visualizationData modelingScriptingData analyticsData management

Posted 3 days ago
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