Job Description Project Coordinator I - Advertising Agency (Print & Digital) Location: Mettawa, IL (Lake County) Work Arrangement: Hybrid - 3 Days Onsite / 2 Days Remote Contract Duration: 12 Months Schedule: Monday-Friday 40 Hours per Week Transportation: Company shuttle available for Metra commuters $18-$22/hr based on benefit elections Orion Group is seeking a highly organized, detail-oriented, and proactive Project Coordinator I to support a fast-paced, in-house advertising agency specializing in pharmaceutical marketing. This individual will work closely with Project Managers, creative teams, and cross-functional stakeholders to coordinate the planning, scheduling, and execution of print and digital marketing projects. The ideal candidate will have recent advertising agency experience, strong organizational and communication skills, and the ability to manage multiple projects and competing priorities simultaneously. This position requires someone who can anticipate challenges, proactively solve problems, maintain accurate project documentation, and ensure deliverables progress through the appropriate review and approval processes. Key Responsibilities Project Coordination & Timeline Management Support Project Managers in planning, scheduling, coordinating, and executing multiple print and digital advertising projects simultaneously. Develop, maintain, and update project timelines, schedules, status reports, and milestone trackers to ensure projects remain on track. Monitor project progress, identify potential delays or roadblocks, and proactively communicate updates to appropriate stakeholders. Coordinate project resources and deliverables across creative, studio, production, programming, and other internal teams. Assist in ensuring projects are completed on time, within budget, and in alignment with established objectives. Prioritize competing deadlines and adjust project schedules as business needs evolve. Agency Workflow & Approval Coordination Support projects throughout the advertising agency lifecycle, including project initiation, kickoff, creative development, internal review, approvals, production, and archiving. Set up, coordinate, and track project routing through internal agency approval systems, including Workfront and Kantata/Mavenlink. Assist with preparing marketing materials and supporting documentation for Medical, Legal, and Regulatory (MLR) review using Veeva PromoMats. Coordinate with creative and technical teams to ensure materials meet project specifications, timelines, and applicable review requirements. Maintain organized project files, technical documentation, specifications, and approval records. Communication & Administrative Support Participate in project status meetings, capture key discussion points, document action items, and distribute meeting notes and next steps. Maintain accurate project status reports, timelines, resource schedules, and other administrative documentation. Communicate project updates, outstanding deliverables, and upcoming deadlines to internal stakeholders. Support collaboration between Project Managers, creative teams, and brand stakeholders. Assist with preparing project documentation, tracking estimates, and maintaining organized digital project folders. Financial & Operational Support Assist with monitoring project budgets, estimates, and financial status. Maintain accurate daily time tracking and support project-related reporting. Ensure adherence to established financial policies, agency workflows, and internal procedures. Required Qualifications Bachelor's degree required. Recent advertising agency experience within the past 2-3 years strongly preferred , ideally supporting creative, marketing, or advertising project workflows. Previous experience in project coordination, project management support, marketing operations, or a similar role. Exceptional attention to detail, organizational skills, and accuracy in maintaining project documentation. Demonstrated ability to manage multiple projects, competing priorities, and deadlines in a fast-paced environment. Experience developing, maintaining, and managing project timelines, schedules, and status reports. Strong problem-solving skills with a proactive approach to identifying and resolving project challenges. Excellent written and verbal communication skills, including the ability to collaborate with cross-functional teams. General understanding of project lifecycles, creative development processes, and project management methodologies. Proficiency in Microsoft Office applications, including Excel, Word, PowerPoint, Outlook, Teams, and SharePoint. Ability to work independently while remaining collaborative, adaptable, and responsive to changing priorities. Preferred Qualifications Experience supporting digital advertising or marketing projects, including websites, email campaigns, digital banners, or other interactive assets. Pharmaceutical, healthcare, or life sciences marketing experience. Print production experience, including coordinating creative assets, production schedules, and deliverables. Familiarity with agency project management platforms such as Workfront, Kantata, or Mavenlink. Exposure to Veeva PromoMats or Medical, Legal, and Regulatory (MLR) promotional review processes. Experience working within an internal advertising agency or external creative agency environment. Ideal Candidate Profile The ideal candidate is an organized, proactive, and detail-focused project coordinator who thrives in a high-volume advertising agency environment. They are comfortable juggling multiple projects, keeping creative teams aligned, and ensuring timelines, deliverables, and documentation remain accurate and up to date. People are our business worldwide Orion Group was founded in 1987 and is now one of the largest, independent, international recruitment companies. We have a network of 200 employees working from 24 offices, delivering a range of services - Talent Acquisition, Recruitment Outsourcing Services, Retained Search, Global Workforce Solutions, Completions & Commissioning and Materials Management - across 68 countries. As a global leader in workforce solutions, we recruit personnel across the Engineering & Technical, Office & Commercial, Scientific and Skilled Trades disciplines, for sectors including Oil & Gas, Life Science, Power & Utilities, Constructions & Infrastructure, Manufacturing and Renewables.
11/14/2026
Full time
Job Description Project Coordinator I - Advertising Agency (Print & Digital) Location: Mettawa, IL (Lake County) Work Arrangement: Hybrid - 3 Days Onsite / 2 Days Remote Contract Duration: 12 Months Schedule: Monday-Friday 40 Hours per Week Transportation: Company shuttle available for Metra commuters $18-$22/hr based on benefit elections Orion Group is seeking a highly organized, detail-oriented, and proactive Project Coordinator I to support a fast-paced, in-house advertising agency specializing in pharmaceutical marketing. This individual will work closely with Project Managers, creative teams, and cross-functional stakeholders to coordinate the planning, scheduling, and execution of print and digital marketing projects. The ideal candidate will have recent advertising agency experience, strong organizational and communication skills, and the ability to manage multiple projects and competing priorities simultaneously. This position requires someone who can anticipate challenges, proactively solve problems, maintain accurate project documentation, and ensure deliverables progress through the appropriate review and approval processes. Key Responsibilities Project Coordination & Timeline Management Support Project Managers in planning, scheduling, coordinating, and executing multiple print and digital advertising projects simultaneously. Develop, maintain, and update project timelines, schedules, status reports, and milestone trackers to ensure projects remain on track. Monitor project progress, identify potential delays or roadblocks, and proactively communicate updates to appropriate stakeholders. Coordinate project resources and deliverables across creative, studio, production, programming, and other internal teams. Assist in ensuring projects are completed on time, within budget, and in alignment with established objectives. Prioritize competing deadlines and adjust project schedules as business needs evolve. Agency Workflow & Approval Coordination Support projects throughout the advertising agency lifecycle, including project initiation, kickoff, creative development, internal review, approvals, production, and archiving. Set up, coordinate, and track project routing through internal agency approval systems, including Workfront and Kantata/Mavenlink. Assist with preparing marketing materials and supporting documentation for Medical, Legal, and Regulatory (MLR) review using Veeva PromoMats. Coordinate with creative and technical teams to ensure materials meet project specifications, timelines, and applicable review requirements. Maintain organized project files, technical documentation, specifications, and approval records. Communication & Administrative Support Participate in project status meetings, capture key discussion points, document action items, and distribute meeting notes and next steps. Maintain accurate project status reports, timelines, resource schedules, and other administrative documentation. Communicate project updates, outstanding deliverables, and upcoming deadlines to internal stakeholders. Support collaboration between Project Managers, creative teams, and brand stakeholders. Assist with preparing project documentation, tracking estimates, and maintaining organized digital project folders. Financial & Operational Support Assist with monitoring project budgets, estimates, and financial status. Maintain accurate daily time tracking and support project-related reporting. Ensure adherence to established financial policies, agency workflows, and internal procedures. Required Qualifications Bachelor's degree required. Recent advertising agency experience within the past 2-3 years strongly preferred , ideally supporting creative, marketing, or advertising project workflows. Previous experience in project coordination, project management support, marketing operations, or a similar role. Exceptional attention to detail, organizational skills, and accuracy in maintaining project documentation. Demonstrated ability to manage multiple projects, competing priorities, and deadlines in a fast-paced environment. Experience developing, maintaining, and managing project timelines, schedules, and status reports. Strong problem-solving skills with a proactive approach to identifying and resolving project challenges. Excellent written and verbal communication skills, including the ability to collaborate with cross-functional teams. General understanding of project lifecycles, creative development processes, and project management methodologies. Proficiency in Microsoft Office applications, including Excel, Word, PowerPoint, Outlook, Teams, and SharePoint. Ability to work independently while remaining collaborative, adaptable, and responsive to changing priorities. Preferred Qualifications Experience supporting digital advertising or marketing projects, including websites, email campaigns, digital banners, or other interactive assets. Pharmaceutical, healthcare, or life sciences marketing experience. Print production experience, including coordinating creative assets, production schedules, and deliverables. Familiarity with agency project management platforms such as Workfront, Kantata, or Mavenlink. Exposure to Veeva PromoMats or Medical, Legal, and Regulatory (MLR) promotional review processes. Experience working within an internal advertising agency or external creative agency environment. Ideal Candidate Profile The ideal candidate is an organized, proactive, and detail-focused project coordinator who thrives in a high-volume advertising agency environment. They are comfortable juggling multiple projects, keeping creative teams aligned, and ensuring timelines, deliverables, and documentation remain accurate and up to date. People are our business worldwide Orion Group was founded in 1987 and is now one of the largest, independent, international recruitment companies. We have a network of 200 employees working from 24 offices, delivering a range of services - Talent Acquisition, Recruitment Outsourcing Services, Retained Search, Global Workforce Solutions, Completions & Commissioning and Materials Management - across 68 countries. As a global leader in workforce solutions, we recruit personnel across the Engineering & Technical, Office & Commercial, Scientific and Skilled Trades disciplines, for sectors including Oil & Gas, Life Science, Power & Utilities, Constructions & Infrastructure, Manufacturing and Renewables.
Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.
11/14/2026
Full time
Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.
Job Description Job Title: Azure Databricks Solution Architect/Lead Data Architect Job type: Contract position up to 12 months. Location: Hybrid - USA Consultant can sit anywhere in the USA. Travel locations include Chicago, Philadelphia, and Baltimore. Travel is occasional with all travel expenses covered. Quasent, Inc. () is looking for an experience Azure Databricks Solution Architect/Data Architect. Responsibilities: You will be responsible for the Architecture and design. Lead the Architecture and Technical Design of Enterprise-scale Data Platform. Own the end-to-end technical architecture of the data platform including ingestion layers, bronze and silver scd layers, data modelling, consumption channel integration, and real-time speed layer design. Define and govern architecture standards, design patterns, and technical guardrails across all delivery workstreams Lead technical design reviews and ensure alignment between functional requirements, source-to-target mappings, and technical implementation. Architect solutions using Azure Databricks, Delta Lake, Unity Catalog, ADLS, GEN2, and Azure Services. Evaluate and recommend technology decisions across the Azure and Databricks ecosystem - including Delta Lake, Unity Catalog, Mosaic AI, Databricks Apps, Azure AI Search, and Azure Data Lake Storage Gen2 Drive architecture for Databricks Genie AI/BI - defining the Genie space design, semantic layer approach, and self-service analytics enablement strategy. Lead the design and expansion of an agentic delivery framework - defining multi-agent architecture, orchestration patterns, LLM integration, and knowledge base design using Databricks Mosaic AI and Azure AI services technical leadership Serve as the technical escalation point for the delivery team - resolving complex data engineering, integration, and platform challenges Guide data engineers, functional SMEs, and report developers on technical approach and best practices on the Databricks platform Support downstream data integrations, including Oracle GoldenGate (OCG) replication, data views, and provisioning patterns. Review and approve technical designs, data models, and solution specifications before build. Provide architectural oversight on schema change impact, upstream dependency management, and data quality framework design Stakeholder and cross-program engagement. Engage with client architects to align on platform decisions, architectural governance, and technology approvals. Represent the technical position in cross-program forums spanning source systems, downstream channel teams, and enterprise platform teams. Support architecture decisions for consumption channel integrations including OGG replication, view design, and data provisioning patterns Required Skills and Qualifications: 10 plus years of experience in I.T. with strong expertise in data engineering and solution architecture. Strong hands on experience with Azure Databricks, PySpark, Spart, SQL, Delta Lake, and ADLS Gen2. Experience with Unity Catalog, data governance, and security Proven experience leading technical teams and enterprise architecture discussions. Preferred Skills: Databricks Genie AI/BI and semantic layer architecture. Databricks Mosaic AI, Agentic AI, LLM's, Azure AI search. Oracle GoldenGate (OOG)
11/14/2026
Full time
Job Description Job Title: Azure Databricks Solution Architect/Lead Data Architect Job type: Contract position up to 12 months. Location: Hybrid - USA Consultant can sit anywhere in the USA. Travel locations include Chicago, Philadelphia, and Baltimore. Travel is occasional with all travel expenses covered. Quasent, Inc. () is looking for an experience Azure Databricks Solution Architect/Data Architect. Responsibilities: You will be responsible for the Architecture and design. Lead the Architecture and Technical Design of Enterprise-scale Data Platform. Own the end-to-end technical architecture of the data platform including ingestion layers, bronze and silver scd layers, data modelling, consumption channel integration, and real-time speed layer design. Define and govern architecture standards, design patterns, and technical guardrails across all delivery workstreams Lead technical design reviews and ensure alignment between functional requirements, source-to-target mappings, and technical implementation. Architect solutions using Azure Databricks, Delta Lake, Unity Catalog, ADLS, GEN2, and Azure Services. Evaluate and recommend technology decisions across the Azure and Databricks ecosystem - including Delta Lake, Unity Catalog, Mosaic AI, Databricks Apps, Azure AI Search, and Azure Data Lake Storage Gen2 Drive architecture for Databricks Genie AI/BI - defining the Genie space design, semantic layer approach, and self-service analytics enablement strategy. Lead the design and expansion of an agentic delivery framework - defining multi-agent architecture, orchestration patterns, LLM integration, and knowledge base design using Databricks Mosaic AI and Azure AI services technical leadership Serve as the technical escalation point for the delivery team - resolving complex data engineering, integration, and platform challenges Guide data engineers, functional SMEs, and report developers on technical approach and best practices on the Databricks platform Support downstream data integrations, including Oracle GoldenGate (OCG) replication, data views, and provisioning patterns. Review and approve technical designs, data models, and solution specifications before build. Provide architectural oversight on schema change impact, upstream dependency management, and data quality framework design Stakeholder and cross-program engagement. Engage with client architects to align on platform decisions, architectural governance, and technology approvals. Represent the technical position in cross-program forums spanning source systems, downstream channel teams, and enterprise platform teams. Support architecture decisions for consumption channel integrations including OGG replication, view design, and data provisioning patterns Required Skills and Qualifications: 10 plus years of experience in I.T. with strong expertise in data engineering and solution architecture. Strong hands on experience with Azure Databricks, PySpark, Spart, SQL, Delta Lake, and ADLS Gen2. Experience with Unity Catalog, data governance, and security Proven experience leading technical teams and enterprise architecture discussions. Preferred Skills: Databricks Genie AI/BI and semantic layer architecture. Databricks Mosaic AI, Agentic AI, LLM's, Azure AI search. Oracle GoldenGate (OOG)
Job Description Job Description Company Description The staffing solutions division of GDKN is a leading provider of end-to-end solutions in the temporary staffing space. With companies across the globe laying critical emphasis on their human resources management, demand for temporary staffing is rapidly growing because it improves focus on core/critical activities and can be adapted to the seasonal nature of business, addresses business uncertainties and the demand for rapid growth. In short, temporary staffing creates a very nimble human capital platform which allows organizations to maximize their productivity and flexibility at all times. GDKN is one of the very few minority business enterprises in North America that has the status of Preferred vendor with world's largest corporations in various industries including: Electric Gas Telephone Utilities Manufacturing Defense Banking/Financial, Information Technology Healthcare/Pharmaceutical Having worked with a multitude of the world's largest clients, GDKN has gained significant expertise in providing staffing solutions which are specifically targeted to meet our client's unique needs with a highly innovative tactical and strategic approach and extensive capabilities for scalability and flexibility. Our staffing solutions focus on every detailed aspect of a business and ensure that you have the perfect talent for your critical business needs. We keep adapting and expanding to ensure that we always surpass our client's expectations. Our staffing solutions division has access to an unparalleled pool of candidates from which our dedicated team rigorously screen and evaluate to ensure ideal human resources are identified for our client's unique needs. Our dedicated team is the group of certified experts many of which have years of experience in their related field of expertise. We do not just focus on finding the perfect talent for our clients; we allow them to focus on growing their business and achieving their goals by ensuring that we adhere to the strictest labor compliance standards. Our activities are compliant with the laws prevailing in the countries and municipalities we do business in and our team of labor law experts ensures that your organization is compliant with all current applicable labor regulations. Labor Law Compliance Management is an important component of our business which we continue to keep as a top priority. With over 20 years in the staffing industry, highly customizable staffing solutions, unparalleled sourcing methodology and global capabilities, we are uniquely equipped to identify the right talent for your organization. GDKN will provide your organization with the flexibility to staff up or down, depending on your business needs. Job Description • Please look for strong experience in design/build/integration of automation equipment using Allen Bradley, Fanuc, Studio 5000 & Solidworks electrical and mechanical modeling/drawing creation. Senior Automation Engineer Overview • The Senior Automation Engineer is responsible for designing, implementing, supporting, and continuously improving automation systems that drive manufacturing efficiency and operational excellence. • This position leads automation projects, troubleshoots complex controls issues, collaborates with cross-functional teams, and serves as a technical expert for automation technologies. Key Responsibilities • Design, program, and support PLCs, HMIs, SCADA systems, robotics, vision systems, and process controls. • Lead automation projects from concept through commissioning. • Troubleshoot complex controls, automation, and integration issues. • Develop and maintain automation standards, documentation, and best practices. • Partner with manufacturing, quality, maintenance, IT, and external vendors. • Perform root cause analysis and support continuous improvement initiatives. • Ensure compliance with safety, cybersecurity, and industry standards. • Mentor junior engineers and provide technical leadership. • Support equipment upgrades, capacity expansions, and new product introductions. • Required Qualifications • Bachelor's degree in Engineering or equivalent experience. • 5+ years of industrial automation, controls engineering, or manufacturing engineering experience. • Strong PLC programming experience (Rockwell/Allen-Bradley, Siemens, or equivalent). • Experience with HMI/SCADA systems and industrial communication networks. • Proven automation system design and implementation experience. • Strong troubleshooting skills for electrical and control systems. • Ability to manage multiple projects independently. • Excellent communication and stakeholder management skills. Preferred Qualifications • Experience with robotics, machine vision, and motion control. • MES (Manufacturing Execution System) experience. • Knowledge of NFPA, IEC, OSHA, and safety-rated controls. • Project leadership experience. • Lean Manufacturing, Six Sigma, or Kaizen experience. • Recruiter Screening Questions • How many years of PLC programming experience do you have, and which platforms have you used (Rockwell, Allen-Bradley, Siemens, etc.)? • Have you led automation projects from design through commissioning? • What experience do you have with HMI/SCADA systems? • Have you worked with robotics, machine vision, or motion control systems? • Describe a complex automation issue you resolved and its impact. • Do you have experience in a manufacturing environment? • Have you supported MES integrations or Industry 4.0 initiatives? • Are you comfortable working independently and leading projects? Additional Information Ideal Candidate: • An experienced automation engineer with strong PLC programming skills, manufacturing experience, project leadership capability, and a proven track record of implementing and troubleshooting industrial automation systems.
11/14/2026
Full time
Job Description Job Description Company Description The staffing solutions division of GDKN is a leading provider of end-to-end solutions in the temporary staffing space. With companies across the globe laying critical emphasis on their human resources management, demand for temporary staffing is rapidly growing because it improves focus on core/critical activities and can be adapted to the seasonal nature of business, addresses business uncertainties and the demand for rapid growth. In short, temporary staffing creates a very nimble human capital platform which allows organizations to maximize their productivity and flexibility at all times. GDKN is one of the very few minority business enterprises in North America that has the status of Preferred vendor with world's largest corporations in various industries including: Electric Gas Telephone Utilities Manufacturing Defense Banking/Financial, Information Technology Healthcare/Pharmaceutical Having worked with a multitude of the world's largest clients, GDKN has gained significant expertise in providing staffing solutions which are specifically targeted to meet our client's unique needs with a highly innovative tactical and strategic approach and extensive capabilities for scalability and flexibility. Our staffing solutions focus on every detailed aspect of a business and ensure that you have the perfect talent for your critical business needs. We keep adapting and expanding to ensure that we always surpass our client's expectations. Our staffing solutions division has access to an unparalleled pool of candidates from which our dedicated team rigorously screen and evaluate to ensure ideal human resources are identified for our client's unique needs. Our dedicated team is the group of certified experts many of which have years of experience in their related field of expertise. We do not just focus on finding the perfect talent for our clients; we allow them to focus on growing their business and achieving their goals by ensuring that we adhere to the strictest labor compliance standards. Our activities are compliant with the laws prevailing in the countries and municipalities we do business in and our team of labor law experts ensures that your organization is compliant with all current applicable labor regulations. Labor Law Compliance Management is an important component of our business which we continue to keep as a top priority. With over 20 years in the staffing industry, highly customizable staffing solutions, unparalleled sourcing methodology and global capabilities, we are uniquely equipped to identify the right talent for your organization. GDKN will provide your organization with the flexibility to staff up or down, depending on your business needs. Job Description • Please look for strong experience in design/build/integration of automation equipment using Allen Bradley, Fanuc, Studio 5000 & Solidworks electrical and mechanical modeling/drawing creation. Senior Automation Engineer Overview • The Senior Automation Engineer is responsible for designing, implementing, supporting, and continuously improving automation systems that drive manufacturing efficiency and operational excellence. • This position leads automation projects, troubleshoots complex controls issues, collaborates with cross-functional teams, and serves as a technical expert for automation technologies. Key Responsibilities • Design, program, and support PLCs, HMIs, SCADA systems, robotics, vision systems, and process controls. • Lead automation projects from concept through commissioning. • Troubleshoot complex controls, automation, and integration issues. • Develop and maintain automation standards, documentation, and best practices. • Partner with manufacturing, quality, maintenance, IT, and external vendors. • Perform root cause analysis and support continuous improvement initiatives. • Ensure compliance with safety, cybersecurity, and industry standards. • Mentor junior engineers and provide technical leadership. • Support equipment upgrades, capacity expansions, and new product introductions. • Required Qualifications • Bachelor's degree in Engineering or equivalent experience. • 5+ years of industrial automation, controls engineering, or manufacturing engineering experience. • Strong PLC programming experience (Rockwell/Allen-Bradley, Siemens, or equivalent). • Experience with HMI/SCADA systems and industrial communication networks. • Proven automation system design and implementation experience. • Strong troubleshooting skills for electrical and control systems. • Ability to manage multiple projects independently. • Excellent communication and stakeholder management skills. Preferred Qualifications • Experience with robotics, machine vision, and motion control. • MES (Manufacturing Execution System) experience. • Knowledge of NFPA, IEC, OSHA, and safety-rated controls. • Project leadership experience. • Lean Manufacturing, Six Sigma, or Kaizen experience. • Recruiter Screening Questions • How many years of PLC programming experience do you have, and which platforms have you used (Rockwell, Allen-Bradley, Siemens, etc.)? • Have you led automation projects from design through commissioning? • What experience do you have with HMI/SCADA systems? • Have you worked with robotics, machine vision, or motion control systems? • Describe a complex automation issue you resolved and its impact. • Do you have experience in a manufacturing environment? • Have you supported MES integrations or Industry 4.0 initiatives? • Are you comfortable working independently and leading projects? Additional Information Ideal Candidate: • An experienced automation engineer with strong PLC programming skills, manufacturing experience, project leadership capability, and a proven track record of implementing and troubleshooting industrial automation systems.
Job Description Job Description Job Description Jumpmind is looking for a Sr Software Engineer , who is passionate about solving difficult problems with creative software solutions, to join an exciting, growing information technology company. Jumpmind Commerce is at the forefront of the digital revolution in retail stores. Our microservices commerce platform is built to solve the real-world problems retailers face in providing frictionless customer journeys. We are focused on innovation for the store and ecommerce experiences. Our clients are all well-known large retail brands. Requirements Roles and Responsibilities Work as part of a team to collaborate on innovative solutions, participate in code reviews, and deliver enhancements to core products. Analyze software requirements and translate them into technical implementation of new product functionality. Perform root cause analysis and develop solutions to software defects. Collaborate with cross functional teams and internal stakeholders to ensure accuracy and quality delivery of released software. Present technical topics to teammates and demonstrate functionality to business users. Lead small teams to accomplish development initiatives Provide mentorship for other team members Essential Experience, Skills, and Qualifications 5+ years software development experience using modern software languages with exposure to all phases of the software development lifecycle Bachelor's degree in Computer Science or related field Relevant experience in Java, Spring, Angular and SQL Databases Strong problem-solving and communication skills Self-starter with the ability to learn quickly and work independently or as part of a team Solid understanding of and experience with Agile, CI/CD, and DevOps concepts Experience working with customers/end-users Preferred Experience Development experience in retail Relevant experience: Infrastructure automation technologies such as Kubernetes, Helm and Terraform. Developing software using cloud services such as AWS, GCP and Azure. Monitoring tools such as OpenTelemetry and Grafana Build automations such as Gradle, Maven and Github Actions Building APIs using REST
11/14/2026
Full time
Job Description Job Description Job Description Jumpmind is looking for a Sr Software Engineer , who is passionate about solving difficult problems with creative software solutions, to join an exciting, growing information technology company. Jumpmind Commerce is at the forefront of the digital revolution in retail stores. Our microservices commerce platform is built to solve the real-world problems retailers face in providing frictionless customer journeys. We are focused on innovation for the store and ecommerce experiences. Our clients are all well-known large retail brands. Requirements Roles and Responsibilities Work as part of a team to collaborate on innovative solutions, participate in code reviews, and deliver enhancements to core products. Analyze software requirements and translate them into technical implementation of new product functionality. Perform root cause analysis and develop solutions to software defects. Collaborate with cross functional teams and internal stakeholders to ensure accuracy and quality delivery of released software. Present technical topics to teammates and demonstrate functionality to business users. Lead small teams to accomplish development initiatives Provide mentorship for other team members Essential Experience, Skills, and Qualifications 5+ years software development experience using modern software languages with exposure to all phases of the software development lifecycle Bachelor's degree in Computer Science or related field Relevant experience in Java, Spring, Angular and SQL Databases Strong problem-solving and communication skills Self-starter with the ability to learn quickly and work independently or as part of a team Solid understanding of and experience with Agile, CI/CD, and DevOps concepts Experience working with customers/end-users Preferred Experience Development experience in retail Relevant experience: Infrastructure automation technologies such as Kubernetes, Helm and Terraform. Developing software using cloud services such as AWS, GCP and Azure. Monitoring tools such as OpenTelemetry and Grafana Build automations such as Gradle, Maven and Github Actions Building APIs using REST
Corus Consulting an Alten Company
New York, New York
Job Description Job Title: Senior Java Backend Developer - Intex Experience: 6-10+ Years Domain: Banking / Financial Services Employment Type: Contract Location: Remote Role Overview We are seeking a highly skilled Java Backend Developer with strong hands-on experience in Java, Spring Boot, Microservices, and Intex-related banking applications. The ideal candidate will have extensive experience developing enterprise-level backend systems within the banking and financial services domain, including application integration, financial transactions, and secure, scalable API development. Key Responsibilities • Design and develop scalable Java backend applications. • Build microservices using Java and Spring Boot. • Develop and integrate RESTful APIs. • Work on Intex platform integrations and backend services. • Develop solutions supporting banking and financial operations. • Integrate backend systems with core banking applications. • Implement secure transaction processing and data handling. • Optimize application performance and database queries. • Troubleshoot production issues and provide technical support. • Collaborate with business analysts, architects, and banking teams. • Perform unit testing, integration testing, and code reviews. • Support application deployments and CI/CD processes. • Ensure compliance with banking security and development standards. Mandatory Technical Skills • Java: Strong hands-on experience with Java 8/11/17+. • Spring Boot: Extensive experience with Spring Framework and Spring Boot. • Microservices: Strong development experience in microservices architecture. • REST APIs: API development, integration, and troubleshooting. • Intex: Practical experience with Intex systems, applications, or integrations in financial services. • Banking Domain: Experience developing applications for banking or financial institutions. • SQL: Strong experience with Oracle, PostgreSQL, or similar databases. • Hibernate/JPA: Database persistence and ORM frameworks. • Git: Source code management. • Testing: JUnit, Mockito, and integration testing. Preferred / Nice-to-Have Skills • AWS, Azure, or other cloud platforms. • Docker and Kubernetes. • Kafka, RabbitMQ, or messaging systems. • CI/CD pipelines using Jenkins or GitLab. • OAuth2, JWT, and Spring Security. • Core banking systems and financial data integration. • Knowledge of financial products, loans, or securities. • Experience with Agile/Scrum methodology. Required Qualifications • Bachelor's degree in Computer Science, IT, Engineering, or related field. • Minimum 6 years of Java backend development experience. • Strong hands-on experience with Spring Boot, Microservices, and REST APIs. • Proven experience working in banking or financial services projects. • Practical experience with the Intex platform or its integrations. • Strong analytical, debugging, and problem-solving skills.
11/14/2026
Full time
Job Description Job Title: Senior Java Backend Developer - Intex Experience: 6-10+ Years Domain: Banking / Financial Services Employment Type: Contract Location: Remote Role Overview We are seeking a highly skilled Java Backend Developer with strong hands-on experience in Java, Spring Boot, Microservices, and Intex-related banking applications. The ideal candidate will have extensive experience developing enterprise-level backend systems within the banking and financial services domain, including application integration, financial transactions, and secure, scalable API development. Key Responsibilities • Design and develop scalable Java backend applications. • Build microservices using Java and Spring Boot. • Develop and integrate RESTful APIs. • Work on Intex platform integrations and backend services. • Develop solutions supporting banking and financial operations. • Integrate backend systems with core banking applications. • Implement secure transaction processing and data handling. • Optimize application performance and database queries. • Troubleshoot production issues and provide technical support. • Collaborate with business analysts, architects, and banking teams. • Perform unit testing, integration testing, and code reviews. • Support application deployments and CI/CD processes. • Ensure compliance with banking security and development standards. Mandatory Technical Skills • Java: Strong hands-on experience with Java 8/11/17+. • Spring Boot: Extensive experience with Spring Framework and Spring Boot. • Microservices: Strong development experience in microservices architecture. • REST APIs: API development, integration, and troubleshooting. • Intex: Practical experience with Intex systems, applications, or integrations in financial services. • Banking Domain: Experience developing applications for banking or financial institutions. • SQL: Strong experience with Oracle, PostgreSQL, or similar databases. • Hibernate/JPA: Database persistence and ORM frameworks. • Git: Source code management. • Testing: JUnit, Mockito, and integration testing. Preferred / Nice-to-Have Skills • AWS, Azure, or other cloud platforms. • Docker and Kubernetes. • Kafka, RabbitMQ, or messaging systems. • CI/CD pipelines using Jenkins or GitLab. • OAuth2, JWT, and Spring Security. • Core banking systems and financial data integration. • Knowledge of financial products, loans, or securities. • Experience with Agile/Scrum methodology. Required Qualifications • Bachelor's degree in Computer Science, IT, Engineering, or related field. • Minimum 6 years of Java backend development experience. • Strong hands-on experience with Spring Boot, Microservices, and REST APIs. • Proven experience working in banking or financial services projects. • Practical experience with the Intex platform or its integrations. • Strong analytical, debugging, and problem-solving skills.
Job Description Position Summary: We are seeking a seasoned Senior Java Developer with a deep specialization in high-throughput trading platforms. You will be responsible for designing and scaling microservices that power our real-time execution algorithms, ensuring ultra-low latency, high availability, and strict adherence to risk and regulatory controls. Core Responsibilities: Architecture & Development: Lead the design and implementation of distributed microservices using Java/Spring Boot tailored for high-frequency trading environments. Algorithm Engineering: Collaborate with Quants and Product Managers to translate complex execution strategies into performant, production-ready code. Performance Optimization: Conduct deep-dive performance tuning, GC optimization, and memory management to maintain sub-millisecond execution speeds. Platform Governance: Design and enforce "Safe Trading" protocols, including pre-trade risk checks and automated circuit breakers within the microservices mesh. Domain Requirements: Trading Lifecycle: Deep understanding of the full trade lifecycle (Order Management, Execution, Clearing, and Settlement). Execution Algorithms: Proven track record of building or maintaining algorithmic engines and SOR (Smart Order Routing) systems. Market Dynamics: Understanding of market data structures (L1/L2/L3 books) and regulatory requirements (MiFID II, SEC Rule 606). Technical Qualifications: Java Expertise: Expert-level proficiency in Core Java (v17+ preferred), including advanced multi-threading, concurrency patterns, and the Java Memory Model. Microservices Architecture: Extensive experience with Spring Boot, Spring Cloud, and containerization (Docker/Kubernetes). Familiarity with Service Mesh (Istio/Linkerd) is a plus. Messaging & Integration: Hands-on experience with high-performance messaging middleware like Apache Kafka, Solace, or Aeron. Data Systems: Proficiency in low-latency data stores (Redis, Hazelcast) and SQL/NoSQL databases for trade persistence and auditing. Testing & CI/CD: Commitment to TDD/BDD practices and automated pipeline integration (Jenkins, GitLab CI).
11/14/2026
Full time
Job Description Position Summary: We are seeking a seasoned Senior Java Developer with a deep specialization in high-throughput trading platforms. You will be responsible for designing and scaling microservices that power our real-time execution algorithms, ensuring ultra-low latency, high availability, and strict adherence to risk and regulatory controls. Core Responsibilities: Architecture & Development: Lead the design and implementation of distributed microservices using Java/Spring Boot tailored for high-frequency trading environments. Algorithm Engineering: Collaborate with Quants and Product Managers to translate complex execution strategies into performant, production-ready code. Performance Optimization: Conduct deep-dive performance tuning, GC optimization, and memory management to maintain sub-millisecond execution speeds. Platform Governance: Design and enforce "Safe Trading" protocols, including pre-trade risk checks and automated circuit breakers within the microservices mesh. Domain Requirements: Trading Lifecycle: Deep understanding of the full trade lifecycle (Order Management, Execution, Clearing, and Settlement). Execution Algorithms: Proven track record of building or maintaining algorithmic engines and SOR (Smart Order Routing) systems. Market Dynamics: Understanding of market data structures (L1/L2/L3 books) and regulatory requirements (MiFID II, SEC Rule 606). Technical Qualifications: Java Expertise: Expert-level proficiency in Core Java (v17+ preferred), including advanced multi-threading, concurrency patterns, and the Java Memory Model. Microservices Architecture: Extensive experience with Spring Boot, Spring Cloud, and containerization (Docker/Kubernetes). Familiarity with Service Mesh (Istio/Linkerd) is a plus. Messaging & Integration: Hands-on experience with high-performance messaging middleware like Apache Kafka, Solace, or Aeron. Data Systems: Proficiency in low-latency data stores (Redis, Hazelcast) and SQL/NoSQL databases for trade persistence and auditing. Testing & CI/CD: Commitment to TDD/BDD practices and automated pipeline integration (Jenkins, GitLab CI).
Job Description Location: Remote, USA Employment Type: Full-Time (Permanent) Experience: 10+ Years Department: Professional Services Level: 4 - Senior Job Description We are seeking an experienced Senior Software Engineer - Informatica B2B Developer with 10+ years of hands-on experience in enterprise data integration, ETL/ELT development, cloud technologies, and B2B partner integrations. The ideal candidate should have strong technical expertise in Informatica PowerCenter, IICS/IDMC, B2B Gateway , enterprise integration platforms, and cloud-based data engineering, along with experience leading technical teams and delivering complex integration projects. Key Responsibilities Design, develop, optimize, and maintain enterprise ETL/ELT pipelines and data integration solutions using Informatica technologies. Architect and implement B2B dataflows, data pipelines, and trading-partner integrations. Develop and support integrations using Informatica PowerCenter, IICS/IDMC, CDI, CAI, CDGC, and B2B Gateway . Integrate enterprise applications and platforms, including Databricks, MuleSoft, and Salesforce , using APIs and integration workflows. Design, deploy, and manage cloud-based data integration workloads on AWS and Azure . Develop automation scripts, reusable components, and integration utilities using Shell, PowerShell, Python, Java, C, or C++. Build and maintain enterprise file transfer solutions using FTP, SFTP, AS2 , encryption, certificates, and managed file transfer mechanisms. Perform debugging, unit/integration testing, developer testing, QA support, performance tuning, and production troubleshooting. Manage production deployments, CI/CD processes, code reviews, and technical documentation. Lead developers, coordinate technical activities, and ensure timely delivery of individual and team deliverables. Collaborate with cross-functional teams in Agile environments to deliver reliable and scalable integration solutions. Required Qualifications 10+ years of hands-on experience designing, developing, optimizing, and supporting Informatica ETL/ELT solutions. 10+ years of experience in application integration, data integration, or ETL engineering development, including B2B dataflows, pipelines, and partner integrations. 4-5 years of technical design experience in application integration, data integration, or ETL engineering. 5+ years of experience with Informatica IICS/IDMC, including CDI, CAI, CDGC, B2B Gateway, mappings, workflows, taskflows, and associated microservices. 5+ years of experience integrating Databricks, MuleSoft, Salesforce, and other enterprise platforms. 5+ years of experience designing, deploying, and supporting integration workloads on AWS and Azure. 5+ years of experience with enterprise file transfer protocols, including FTP, SFTP, AS2 , and managed file transfer solutions. 5+ years of Shell or PowerShell scripting experience for automation, file processing, monitoring, and troubleshooting. 2-3 years of software development experience in Python, Java, C, or C++ . 4-5 years of experience supporting developer testing, application QA, unit testing, and integration testing. 4-5 years of experience managing production deployments and deployment automation. 4-5 years of experience leading developers, coordinating tasks, and managing technical deliverables. Strong knowledge of REST/SOAP APIs, SQL, relational databases, Linux, Windows , data validation, and query optimization. Experience with Git, CI/CD pipelines, code reviews, production support, technical documentation, logging, and error handling. Strong understanding of encryption, certificate management, cloud access management, and trading-partner connectivity. Experience working with Agile delivery teams and collaborating across technical and business stakeholders. Preferred Qualifications Experience with Informatica Data Exchange (DX), Data Transformation (DT) , and enterprise B2B/EDI integrations. Knowledge of ANSI X12, EDIFACT , and trading-partner onboarding processes. Exposure to Snowflake, Azure Data Factory, Apache Kafka , and event-driven integration architectures. Experience with DevOps tools such as Jenkins, Azure DevOps, GitHub Actions, Terraform, and CloudFormation . Familiarity with monitoring and observability tools such as AWS CloudWatch, Azure Monitor, Splunk, and Datadog . Experience designing and supporting high-volume data pipelines, high-availability architectures, performance optimization, and disaster recovery. Exposure to AI/ML, Generative AI , and AI-assisted data engineering or integration tools. Additional Requirements Excellent written and verbal communication skills. Strong analytical and problem-solving abilities, including identifying, presenting, and resolving technical issues. Ability to lead technical discussions, mentor developers, and independently manage project deliverables. Flexibility to collaborate across US and India time zones . Willingness to travel internationally for short durations when required.
11/14/2026
Full time
Job Description Location: Remote, USA Employment Type: Full-Time (Permanent) Experience: 10+ Years Department: Professional Services Level: 4 - Senior Job Description We are seeking an experienced Senior Software Engineer - Informatica B2B Developer with 10+ years of hands-on experience in enterprise data integration, ETL/ELT development, cloud technologies, and B2B partner integrations. The ideal candidate should have strong technical expertise in Informatica PowerCenter, IICS/IDMC, B2B Gateway , enterprise integration platforms, and cloud-based data engineering, along with experience leading technical teams and delivering complex integration projects. Key Responsibilities Design, develop, optimize, and maintain enterprise ETL/ELT pipelines and data integration solutions using Informatica technologies. Architect and implement B2B dataflows, data pipelines, and trading-partner integrations. Develop and support integrations using Informatica PowerCenter, IICS/IDMC, CDI, CAI, CDGC, and B2B Gateway . Integrate enterprise applications and platforms, including Databricks, MuleSoft, and Salesforce , using APIs and integration workflows. Design, deploy, and manage cloud-based data integration workloads on AWS and Azure . Develop automation scripts, reusable components, and integration utilities using Shell, PowerShell, Python, Java, C, or C++. Build and maintain enterprise file transfer solutions using FTP, SFTP, AS2 , encryption, certificates, and managed file transfer mechanisms. Perform debugging, unit/integration testing, developer testing, QA support, performance tuning, and production troubleshooting. Manage production deployments, CI/CD processes, code reviews, and technical documentation. Lead developers, coordinate technical activities, and ensure timely delivery of individual and team deliverables. Collaborate with cross-functional teams in Agile environments to deliver reliable and scalable integration solutions. Required Qualifications 10+ years of hands-on experience designing, developing, optimizing, and supporting Informatica ETL/ELT solutions. 10+ years of experience in application integration, data integration, or ETL engineering development, including B2B dataflows, pipelines, and partner integrations. 4-5 years of technical design experience in application integration, data integration, or ETL engineering. 5+ years of experience with Informatica IICS/IDMC, including CDI, CAI, CDGC, B2B Gateway, mappings, workflows, taskflows, and associated microservices. 5+ years of experience integrating Databricks, MuleSoft, Salesforce, and other enterprise platforms. 5+ years of experience designing, deploying, and supporting integration workloads on AWS and Azure. 5+ years of experience with enterprise file transfer protocols, including FTP, SFTP, AS2 , and managed file transfer solutions. 5+ years of Shell or PowerShell scripting experience for automation, file processing, monitoring, and troubleshooting. 2-3 years of software development experience in Python, Java, C, or C++ . 4-5 years of experience supporting developer testing, application QA, unit testing, and integration testing. 4-5 years of experience managing production deployments and deployment automation. 4-5 years of experience leading developers, coordinating tasks, and managing technical deliverables. Strong knowledge of REST/SOAP APIs, SQL, relational databases, Linux, Windows , data validation, and query optimization. Experience with Git, CI/CD pipelines, code reviews, production support, technical documentation, logging, and error handling. Strong understanding of encryption, certificate management, cloud access management, and trading-partner connectivity. Experience working with Agile delivery teams and collaborating across technical and business stakeholders. Preferred Qualifications Experience with Informatica Data Exchange (DX), Data Transformation (DT) , and enterprise B2B/EDI integrations. Knowledge of ANSI X12, EDIFACT , and trading-partner onboarding processes. Exposure to Snowflake, Azure Data Factory, Apache Kafka , and event-driven integration architectures. Experience with DevOps tools such as Jenkins, Azure DevOps, GitHub Actions, Terraform, and CloudFormation . Familiarity with monitoring and observability tools such as AWS CloudWatch, Azure Monitor, Splunk, and Datadog . Experience designing and supporting high-volume data pipelines, high-availability architectures, performance optimization, and disaster recovery. Exposure to AI/ML, Generative AI , and AI-assisted data engineering or integration tools. Additional Requirements Excellent written and verbal communication skills. Strong analytical and problem-solving abilities, including identifying, presenting, and resolving technical issues. Ability to lead technical discussions, mentor developers, and independently manage project deliverables. Flexibility to collaborate across US and India time zones . Willingness to travel internationally for short durations when required.
Job Description Senior Application Support Engineer Location: New York, United States Employment Type: Full-time Industry: Financial Services / FinTech Reports to: Head of Engineering (UK) and Head of US Office About the Role We're seeking an experienced Senior Application Support Engineer to help maintain the stability, reliability, and business continuity of a mission-critical financial technology platform. As the primary technical contact in our US office, you'll work closely with Application Support, Engineering, Product, and Operations teams while sharing support coverage with colleagues in the UK. Our platform runs on Google Cloud Platform (GCP) and connects applications supporting trading, clearing, settlement, books and records, and operational processing. What You'll Do Own production incidents from investigation through resolution, prioritizing business impact, coordinating incident calls, and working with internal teams and external providers. Troubleshoot application and integration failures across services, FIX connections, APIs, and file-based feeds, including reconciliation breaks and processing exceptions. Apply safe mitigations and controlled remediation, assessing downstream impacts before restarting services, replaying messages, or reprocessing files. Monitor production applications, integrations, and scheduled jobs, including critical market-hours, start-of-day, and end-of-day processing. Provide technical support to local teams and participate in client and partner discussions as needed. Maintain technical documentation, runbooks, incident records, and clear handovers across time zones. Support software releases and integration testing, including readiness checks, post-deployment validation, and recovery scenarios. Improve monitoring, alerting, and automation to reduce recurring production issues. Support audit and compliance requests involving application behavior, data flows, and operational controls. What You'll Bring 8+ years of experience in application support, production support, or technical operations supporting live systems. Experience supporting business-critical, interconnected applications, such as trading platforms or payment systems, where availability, accuracy, and timely processing are essential. Previous experience in financial services, investment management, or investment advisory environments. Demonstrated ability to independently diagnose and resolve complex production incidents under pressure. Strong communication and collaboration skills, including working with technical and non-technical stakeholders during incidents. Experience sharing support responsibilities across geographically distributed teams and time zones. Required Technical Skills SQL: Strong proficiency in investigating data issues, validating system state, and supporting controlled remediation. Google Cloud Platform: Hands-on experience supporting cloud-hosted applications using Logs Explorer, Trace, and monitoring platforms such as Datadog. FIX Protocol: Practical knowledge of FIX sessions and order/execution messages, including sequence gaps, rejects, reconnects, and recovery procedures. Distributed Systems: Ability to troubleshoot applications, APIs, messaging systems, and file-based integrations, including delayed, missing, duplicated, or out-of-order processing. Networking and Security: Working knowledge of authentication, networking, and secure file transfer protocols. Scripting: Ability to write scripts to automate operational checks and streamline investigations; Python preferred. Release Management: Understanding of production access controls, change management, deployment environments, release validation, and rollback procedures. Preferred Qualifications Familiarity with investment platforms, brokerage environments, or self-clearing broker-dealer operations. Knowledge of financial instruments, including equities, bonds, and mutual funds. Experience supporting applications integrated with clearing and settlement infrastructure, including DTCC. Experience with Order Management Systems (OMS) and books and records platforms. Knowledge of client onboarding, Know Your Customer (KYC), and Anti-Money Laundering (AML) operations. Experience supporting regulatory reporting processes. Familiarity with GCP infrastructure and containerization technologies, including Compute Engine virtual machines, Managed Instance Groups (MIGs), Cloud Run, Pub/Sub, and Docker. What Success Looks Like You're a hands-on support professional who takes ownership of complex incidents and brings sound judgment, attention to detail, and clear communication to critical situations. You combine technical troubleshooting skills with an understanding of financial services operations and proactively improve production stability and operational efficiency.
11/14/2026
Full time
Job Description Senior Application Support Engineer Location: New York, United States Employment Type: Full-time Industry: Financial Services / FinTech Reports to: Head of Engineering (UK) and Head of US Office About the Role We're seeking an experienced Senior Application Support Engineer to help maintain the stability, reliability, and business continuity of a mission-critical financial technology platform. As the primary technical contact in our US office, you'll work closely with Application Support, Engineering, Product, and Operations teams while sharing support coverage with colleagues in the UK. Our platform runs on Google Cloud Platform (GCP) and connects applications supporting trading, clearing, settlement, books and records, and operational processing. What You'll Do Own production incidents from investigation through resolution, prioritizing business impact, coordinating incident calls, and working with internal teams and external providers. Troubleshoot application and integration failures across services, FIX connections, APIs, and file-based feeds, including reconciliation breaks and processing exceptions. Apply safe mitigations and controlled remediation, assessing downstream impacts before restarting services, replaying messages, or reprocessing files. Monitor production applications, integrations, and scheduled jobs, including critical market-hours, start-of-day, and end-of-day processing. Provide technical support to local teams and participate in client and partner discussions as needed. Maintain technical documentation, runbooks, incident records, and clear handovers across time zones. Support software releases and integration testing, including readiness checks, post-deployment validation, and recovery scenarios. Improve monitoring, alerting, and automation to reduce recurring production issues. Support audit and compliance requests involving application behavior, data flows, and operational controls. What You'll Bring 8+ years of experience in application support, production support, or technical operations supporting live systems. Experience supporting business-critical, interconnected applications, such as trading platforms or payment systems, where availability, accuracy, and timely processing are essential. Previous experience in financial services, investment management, or investment advisory environments. Demonstrated ability to independently diagnose and resolve complex production incidents under pressure. Strong communication and collaboration skills, including working with technical and non-technical stakeholders during incidents. Experience sharing support responsibilities across geographically distributed teams and time zones. Required Technical Skills SQL: Strong proficiency in investigating data issues, validating system state, and supporting controlled remediation. Google Cloud Platform: Hands-on experience supporting cloud-hosted applications using Logs Explorer, Trace, and monitoring platforms such as Datadog. FIX Protocol: Practical knowledge of FIX sessions and order/execution messages, including sequence gaps, rejects, reconnects, and recovery procedures. Distributed Systems: Ability to troubleshoot applications, APIs, messaging systems, and file-based integrations, including delayed, missing, duplicated, or out-of-order processing. Networking and Security: Working knowledge of authentication, networking, and secure file transfer protocols. Scripting: Ability to write scripts to automate operational checks and streamline investigations; Python preferred. Release Management: Understanding of production access controls, change management, deployment environments, release validation, and rollback procedures. Preferred Qualifications Familiarity with investment platforms, brokerage environments, or self-clearing broker-dealer operations. Knowledge of financial instruments, including equities, bonds, and mutual funds. Experience supporting applications integrated with clearing and settlement infrastructure, including DTCC. Experience with Order Management Systems (OMS) and books and records platforms. Knowledge of client onboarding, Know Your Customer (KYC), and Anti-Money Laundering (AML) operations. Experience supporting regulatory reporting processes. Familiarity with GCP infrastructure and containerization technologies, including Compute Engine virtual machines, Managed Instance Groups (MIGs), Cloud Run, Pub/Sub, and Docker. What Success Looks Like You're a hands-on support professional who takes ownership of complex incidents and brings sound judgment, attention to detail, and clear communication to critical situations. You combine technical troubleshooting skills with an understanding of financial services operations and proactively improve production stability and operational efficiency.
Job Description The Data Architect leads the design and direction of Christian Healthcare Ministries' enterprise data architecture. This role establishes data models, integration standards, and platform strategies that make data reliable, secure, and accessible, supporting ministry operations, analytics, and informed decision-making. WHAT WE OFFER At Christian Healthcare Ministries (CHM), we believe your career should be more than just a job it should be an opportunity to make a meaningful difference while growing personally, professionally, and spiritually. When you join our team, you'll enjoy: Competitive Compensation - Pay based on your experience and qualifications. Faith-Driven, Purpose-Filled Career - Be part of a Christ-centered ministry where your work makes a meaningful impact. Fully Paid Health Benefits for You & Your Family - Enjoy valuable health benefits provided at no cost to you, with coverage extended to eligible dependents. Retirement & Life Insurance - Benefits designed to support your financial well-being and future. Generous Paid Holidays - Enjoy 12 paid holidays PLUS your birthday! Complimentary Daily Lunch - Enjoy a delicious lunch provided daily for employees working onsite, including those on a hybrid schedule during their in-office days. Professional Growth & Development - Opportunities to strengthen your skills, expand your knowledge, and grow in your career. Paid Training - Receive the training and support needed to succeed in your role. More than a career. A calling. A community. A purpose. PRIMARY RESPONSIBILITIES Own the enterprise data architecture vision, standards, and roadmap, aligning priorities with CHM's business needs, resources, and technology strategy. Design and maintain conceptual, logical, physical, and analytical data models that reflect business requirements and reduce redundant or inconsistent data structures. Define reusable architecture for data ingestion, storage, transformation, integration, and access across operational systems, databases, cloud services, and analytical platforms. Lead architecture reviews and resolve design tradeoffs for major data initiatives, vendor solutions, migrations, and platform investments; document decisions, dependencies, and technical risks. Define master and reference data architecture, authoritative sources, and data quality standards; partner with governance and engineering teams to embed controls and address systemic quality issues. Establish metadata, lineage, and catalog standards so data assets, ownership, business definitions, and downstream impacts are documented and discoverable. Embed security, privacy, access, and retention requirements into data designs with Information Security and governance partners; support recoverability planning and significant data incident response, escalating material risks. Evaluate technologies and recommend modernization, consolidation, or retirement of data platforms and integrations based on business value, maintainability, operational readiness, risk, and total cost. Provide technical direction and mentoring to data engineers, database administrators, governance analysts, vendors, and project teams; maintain reusable architecture documentation and guidance. CORE COMPETENCIES Enterprise architecture judgment and practical problem-solving Data modeling and systems thinking Data integration and platform design Data governance, quality, and security awareness Clear communication and cross-functional collaboration Technical leadership, mentoring, and influence without formal authority REQUIRED QUALIFICATIONS Bachelor's degree in computer science, information technology, information systems, data engineering, software engineering, or a related field; or equivalent relevant experience demonstrating the necessary database, systems design, and data architecture knowledge. Eight or more years of progressively responsible experience in enterprise data architecture, data modeling, data platform design, or a closely related discipline. Advanced SQL and data modeling proficiency, including conceptual, logical, physical, and dimensional modeling, with experience designing across operational databases, analytical platforms, cloud environments, and integration layers. Experience establishing adopted architecture standards and leading major data platform, migration, or integration initiatives. Experience with master data management, metadata, data catalogs, or data quality architecture, including the handling of sensitive or business-critical data. Experience with Microsoft SQL Server, Azure SQL, Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, or comparable enterprise data platforms desired but not required Experience with lakehouse or cloud-native architectures, semantic models, Data Vault, enterprise modeling tools, or master data management platforms desired but not required Experience implementing data catalogs or lineage tools such as Microsoft Purview, Collibra, or Alation desired but not required Familiarity with healthcare data privacy and security frameworks and experience in healthcare, financial services, nonprofit, or ministry operations desired but not required Relevant Microsoft, data management, or enterprise architecture certification desired but not required About Christian Healthcare Ministries Founded in 1981, Christian Healthcare Ministries (CHM) is a nonprofit, faith-based health cost sharing ministry dedicated to helping Christians support one another with their medical expenses. For over 45 years, CHM has brought believers together through a shared commitment to faith, compassion, and service. Our mission is to glorify God, show Christian love, and experience God's presence as Christians share each other's medical bills. At CHM, our employees are more than just a team. They are part of a ministry united by a common purpose: serving others, making a meaningful impact, and reflecting Christ's love in the work we do every day.
11/14/2026
Full time
Job Description The Data Architect leads the design and direction of Christian Healthcare Ministries' enterprise data architecture. This role establishes data models, integration standards, and platform strategies that make data reliable, secure, and accessible, supporting ministry operations, analytics, and informed decision-making. WHAT WE OFFER At Christian Healthcare Ministries (CHM), we believe your career should be more than just a job it should be an opportunity to make a meaningful difference while growing personally, professionally, and spiritually. When you join our team, you'll enjoy: Competitive Compensation - Pay based on your experience and qualifications. Faith-Driven, Purpose-Filled Career - Be part of a Christ-centered ministry where your work makes a meaningful impact. Fully Paid Health Benefits for You & Your Family - Enjoy valuable health benefits provided at no cost to you, with coverage extended to eligible dependents. Retirement & Life Insurance - Benefits designed to support your financial well-being and future. Generous Paid Holidays - Enjoy 12 paid holidays PLUS your birthday! Complimentary Daily Lunch - Enjoy a delicious lunch provided daily for employees working onsite, including those on a hybrid schedule during their in-office days. Professional Growth & Development - Opportunities to strengthen your skills, expand your knowledge, and grow in your career. Paid Training - Receive the training and support needed to succeed in your role. More than a career. A calling. A community. A purpose. PRIMARY RESPONSIBILITIES Own the enterprise data architecture vision, standards, and roadmap, aligning priorities with CHM's business needs, resources, and technology strategy. Design and maintain conceptual, logical, physical, and analytical data models that reflect business requirements and reduce redundant or inconsistent data structures. Define reusable architecture for data ingestion, storage, transformation, integration, and access across operational systems, databases, cloud services, and analytical platforms. Lead architecture reviews and resolve design tradeoffs for major data initiatives, vendor solutions, migrations, and platform investments; document decisions, dependencies, and technical risks. Define master and reference data architecture, authoritative sources, and data quality standards; partner with governance and engineering teams to embed controls and address systemic quality issues. Establish metadata, lineage, and catalog standards so data assets, ownership, business definitions, and downstream impacts are documented and discoverable. Embed security, privacy, access, and retention requirements into data designs with Information Security and governance partners; support recoverability planning and significant data incident response, escalating material risks. Evaluate technologies and recommend modernization, consolidation, or retirement of data platforms and integrations based on business value, maintainability, operational readiness, risk, and total cost. Provide technical direction and mentoring to data engineers, database administrators, governance analysts, vendors, and project teams; maintain reusable architecture documentation and guidance. CORE COMPETENCIES Enterprise architecture judgment and practical problem-solving Data modeling and systems thinking Data integration and platform design Data governance, quality, and security awareness Clear communication and cross-functional collaboration Technical leadership, mentoring, and influence without formal authority REQUIRED QUALIFICATIONS Bachelor's degree in computer science, information technology, information systems, data engineering, software engineering, or a related field; or equivalent relevant experience demonstrating the necessary database, systems design, and data architecture knowledge. Eight or more years of progressively responsible experience in enterprise data architecture, data modeling, data platform design, or a closely related discipline. Advanced SQL and data modeling proficiency, including conceptual, logical, physical, and dimensional modeling, with experience designing across operational databases, analytical platforms, cloud environments, and integration layers. Experience establishing adopted architecture standards and leading major data platform, migration, or integration initiatives. Experience with master data management, metadata, data catalogs, or data quality architecture, including the handling of sensitive or business-critical data. Experience with Microsoft SQL Server, Azure SQL, Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, or comparable enterprise data platforms desired but not required Experience with lakehouse or cloud-native architectures, semantic models, Data Vault, enterprise modeling tools, or master data management platforms desired but not required Experience implementing data catalogs or lineage tools such as Microsoft Purview, Collibra, or Alation desired but not required Familiarity with healthcare data privacy and security frameworks and experience in healthcare, financial services, nonprofit, or ministry operations desired but not required Relevant Microsoft, data management, or enterprise architecture certification desired but not required About Christian Healthcare Ministries Founded in 1981, Christian Healthcare Ministries (CHM) is a nonprofit, faith-based health cost sharing ministry dedicated to helping Christians support one another with their medical expenses. For over 45 years, CHM has brought believers together through a shared commitment to faith, compassion, and service. Our mission is to glorify God, show Christian love, and experience God's presence as Christians share each other's medical bills. At CHM, our employees are more than just a team. They are part of a ministry united by a common purpose: serving others, making a meaningful impact, and reflecting Christ's love in the work we do every day.
Job Description Must Have Technical/Functional Skills Experience: 12+ years of experience in GCP Data Architecture & ETL/ELT pipeline creation, BigQuery, Cloud Platforms or Data Engineering, with at least 5 years as an Architect. Strong programming in Python and Java; query & storage optimization. Cloud Proficiency: Deep expertise in BigQuery, Cloud Storage (GCS), and data orchestration (Cloud Composer / Airflow). Data processing using Dataflow, Dataproc, and microservices. Strong experience with at least one major cloud provider (AWS, GCP, or Azure) and their managed Kubernetes offerings. GenAI & Platform: Practical application development using Gemini Enterprise, Vertex AI, and RAG concepts. Foundation in DevOps (Docker, GKE, CI/CD, IAM). Kubernetes Mastery: Deep, hands-on experience managing production Kubernetes environments, including cluster scaling, RBAC, network plugins (CNI), and storage (CSI). Deployment Tooling: Proven track record of designing complex deployments using Helm and GitOps controllers (ArgoCD/Flux).Scripting & Automation: Proficiency in at least one programming or scripting language (Python, Go, or Bash) for automation and tooling.
11/14/2026
Full time
Job Description Must Have Technical/Functional Skills Experience: 12+ years of experience in GCP Data Architecture & ETL/ELT pipeline creation, BigQuery, Cloud Platforms or Data Engineering, with at least 5 years as an Architect. Strong programming in Python and Java; query & storage optimization. Cloud Proficiency: Deep expertise in BigQuery, Cloud Storage (GCS), and data orchestration (Cloud Composer / Airflow). Data processing using Dataflow, Dataproc, and microservices. Strong experience with at least one major cloud provider (AWS, GCP, or Azure) and their managed Kubernetes offerings. GenAI & Platform: Practical application development using Gemini Enterprise, Vertex AI, and RAG concepts. Foundation in DevOps (Docker, GKE, CI/CD, IAM). Kubernetes Mastery: Deep, hands-on experience managing production Kubernetes environments, including cluster scaling, RBAC, network plugins (CNI), and storage (CSI). Deployment Tooling: Proven track record of designing complex deployments using Helm and GitOps controllers (ArgoCD/Flux).Scripting & Automation: Proficiency in at least one programming or scripting language (Python, Go, or Bash) for automation and tooling.
Job Description Data Engineering & Platform Manager - Azure Databricks and Medallion Architecture Impact Business Group is recruiting a Data Engineering & Platform Manager for a manufacturing client. You'll take hands-on ownership of its enterprise Azure Databricks platform. Your first assignment is to assess the legacy environment and the newer implementation, understand how teams use both, and lead the work to make the newer platform meet the business's reporting, analytics, and AI needs. You'll report to the VP of Data, Analytics & AI and work together to set the technical roadmap. This is an individual contributor role with no direct reports. You'll make architecture decisions and build, test, and implement changes yourself. What you'll do Trace critical data flows from source systems to downstream reports. Compare the two environments, decide what to keep or rework, and validate changes before moving business-critical workloads. Define and implement the medallion architecture. Set clear standards for bronze, silver, and gold layers, and build and maintain production pipelines from ERP, CRM, and other enterprise systems. Own Databricks workspace administration, compute configuration, and pipeline operations. Monitor reliability, performance, and spend, and resolve production issues. Strengthen security and governance with Unity Catalog. Implement access controls, track data lineage and ownership, and establish data quality checks and monitoring. Work with Finance, Supply Chain, and analytics teams to reconcile data and define what must pass before a workload moves. Document pipeline standards and operational runbooks What you'll bring 7-12 years of data engineering experience, including 3+ years of hands-on enterprise Databricks administration and pipeline development. Production experience with Azure Databricks, Delta Lake, Unity Catalog, medallion architecture, and pipeline orchestration using Databricks Workflows, Azure Data Factory, or equivalent tools. Strong SQL and Python skills, proficiency with Azure data services, and experience integrating ERP data into an enterprise platform. Experience implementing data access controls, lineage, and data quality standards, and translating business requirements into architecture and implementation decisions. Bachelor's degree in computer science, data engineering, information systems, or a related field. Preferred experience PySpark, SAP, Microsoft Dynamics GP, Databricks compute and cost optimization, or data engineering in regulated manufacturing. Travel up to 15% as needed.
11/14/2026
Full time
Job Description Data Engineering & Platform Manager - Azure Databricks and Medallion Architecture Impact Business Group is recruiting a Data Engineering & Platform Manager for a manufacturing client. You'll take hands-on ownership of its enterprise Azure Databricks platform. Your first assignment is to assess the legacy environment and the newer implementation, understand how teams use both, and lead the work to make the newer platform meet the business's reporting, analytics, and AI needs. You'll report to the VP of Data, Analytics & AI and work together to set the technical roadmap. This is an individual contributor role with no direct reports. You'll make architecture decisions and build, test, and implement changes yourself. What you'll do Trace critical data flows from source systems to downstream reports. Compare the two environments, decide what to keep or rework, and validate changes before moving business-critical workloads. Define and implement the medallion architecture. Set clear standards for bronze, silver, and gold layers, and build and maintain production pipelines from ERP, CRM, and other enterprise systems. Own Databricks workspace administration, compute configuration, and pipeline operations. Monitor reliability, performance, and spend, and resolve production issues. Strengthen security and governance with Unity Catalog. Implement access controls, track data lineage and ownership, and establish data quality checks and monitoring. Work with Finance, Supply Chain, and analytics teams to reconcile data and define what must pass before a workload moves. Document pipeline standards and operational runbooks What you'll bring 7-12 years of data engineering experience, including 3+ years of hands-on enterprise Databricks administration and pipeline development. Production experience with Azure Databricks, Delta Lake, Unity Catalog, medallion architecture, and pipeline orchestration using Databricks Workflows, Azure Data Factory, or equivalent tools. Strong SQL and Python skills, proficiency with Azure data services, and experience integrating ERP data into an enterprise platform. Experience implementing data access controls, lineage, and data quality standards, and translating business requirements into architecture and implementation decisions. Bachelor's degree in computer science, data engineering, information systems, or a related field. Preferred experience PySpark, SAP, Microsoft Dynamics GP, Databricks compute and cost optimization, or data engineering in regulated manufacturing. Travel up to 15% as needed.
Job Description About the Role Our client is seeking a QA Automation Engineer to help modernize and strengthen its quality engineering function. This is a hands-on opportunity for an engineer who enjoys building automation frameworks, improving testing processes, and ensuring the reliability of complex financial technology platforms. The ideal candidate will have strong experience with automated testing, API validation, SQL, and CI/CD pipelines, along with an interest in leveraging AI-assisted development tools. You will play a key role in expanding automated test coverage, improving release confidence, and driving quality across critical applications and integrations. Key Responsibilities Develop and maintain automated testing frameworks using Playwright, supporting UI, API, integration, and end-to-end testing while contributing to the migration of existing Selenium test suites. Build comprehensive regression testing coverage across financial transaction processing, data ingestion, third-party integrations, and settlement workflows to ensure platform accuracy and reliability. Integrate automated testing into CI/CD pipelines using GitHub Actions or similar tools, improving test execution efficiency, identifying defects early, and reducing flaky tests. Perform database and API validation using SQL and PostgreSQL to verify data integrity, transaction accuracy, and end-to-end processing results across complex systems. Collaborate with engineering and DevOps teams to support release readiness, maintain test documentation, track quality metrics, and leverage AI-assisted tools to accelerate automation development and troubleshooting. Requirements 3-5 years of experience in Quality Engineering, Software QA, or Test Automation, with hands-on experience developing and maintaining automated test suites in Agile or DevOps environments. Strong experience with automation tools such as Playwright, Selenium, or Cypress, including UI, API, and end-to-end testing. Proficiency in Python and/or TypeScript , with the ability to independently develop, troubleshoot, and maintain automation code. Experience with JavaScript, Java, or C# will also be considered. Solid SQL and database testing skills , including writing queries, joins, and aggregations to validate data accuracy, along with experience testing APIs and system integrations. Experience with CI/CD pipelines such as GitHub Actions, strong troubleshooting and communication skills, and the ability to collaborate effectively with cross-functional engineering teams.
11/14/2026
Full time
Job Description About the Role Our client is seeking a QA Automation Engineer to help modernize and strengthen its quality engineering function. This is a hands-on opportunity for an engineer who enjoys building automation frameworks, improving testing processes, and ensuring the reliability of complex financial technology platforms. The ideal candidate will have strong experience with automated testing, API validation, SQL, and CI/CD pipelines, along with an interest in leveraging AI-assisted development tools. You will play a key role in expanding automated test coverage, improving release confidence, and driving quality across critical applications and integrations. Key Responsibilities Develop and maintain automated testing frameworks using Playwright, supporting UI, API, integration, and end-to-end testing while contributing to the migration of existing Selenium test suites. Build comprehensive regression testing coverage across financial transaction processing, data ingestion, third-party integrations, and settlement workflows to ensure platform accuracy and reliability. Integrate automated testing into CI/CD pipelines using GitHub Actions or similar tools, improving test execution efficiency, identifying defects early, and reducing flaky tests. Perform database and API validation using SQL and PostgreSQL to verify data integrity, transaction accuracy, and end-to-end processing results across complex systems. Collaborate with engineering and DevOps teams to support release readiness, maintain test documentation, track quality metrics, and leverage AI-assisted tools to accelerate automation development and troubleshooting. Requirements 3-5 years of experience in Quality Engineering, Software QA, or Test Automation, with hands-on experience developing and maintaining automated test suites in Agile or DevOps environments. Strong experience with automation tools such as Playwright, Selenium, or Cypress, including UI, API, and end-to-end testing. Proficiency in Python and/or TypeScript , with the ability to independently develop, troubleshoot, and maintain automation code. Experience with JavaScript, Java, or C# will also be considered. Solid SQL and database testing skills , including writing queries, joins, and aggregations to validate data accuracy, along with experience testing APIs and system integrations. Experience with CI/CD pipelines such as GitHub Actions, strong troubleshooting and communication skills, and the ability to collaborate effectively with cross-functional engineering teams.
Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.
11/14/2026
Full time
Job Description About the Role: We are looking for existing software engineers and developers to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge. You'll work closely with state-of-the-art AI models on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals. To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform. Advantages of contracting with us: Choose which projects you want to work on and when. Work with state-of-the-art and unreleased AI coding agents. Work on your own schedule, using your own computer, from the comfort of your home. Projects are paid hourly starting at $50-100+/hr with higher rates available for certain projects. Responsibilities: Create and work with coding environments, unit tests, and verifiers. Design and solve diverse coding problems used to train AI systems. Write clear, high-quality code and technical explanations. Evaluate model trajectories for accuracy, performance, readability, and best practices. Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions. Provide structured feedback that helps improve the next generation of AI models. Qualifications: Fluency in English (native or bilingual level). Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React. Strong software engineering fundamentals, including problem-solving, debugging, and code review. Excellent written communication skills. A bachelor's degree (completed or in progress). Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role is preferred. Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the United States, Canada, the United Kingdom, Ireland, Australia, New Zealand, the Netherlands, Germany, Denmark, Norway, Sweden, Poland, Romania, Ukraine, Argentina, Brazil, India, and the Philippines. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.
Job Description Title: AI Architect Location: Las Vegas, NV (Day 1 Onsite, 3 Days WFO - Hybrid). Exp: 10+ Yrs Skills: Google Cloud Service (Vertex AI, BigQuery, Cloud Functions), AI SDLC, AI Best Practices. Primary Skill: SDLC CI/CD, Google Cloud OS, Vertex AI Job Description: Job Requirements Key Responsibilities: Architect and design agentic AI systems tailored for CRM and BPM solutions including requirements to backlog, backlog to build and build to deploy phases of the SDLC Lead the development of autonomous agents capable of reasoning, learning, and collaborating across the test life cycle. Build and optimize AI pipelines using Google Cloud services (Vertex AI, BigQuery, Cloud Functions, etc.). Integrate agents with CI/CD pipelines, test management tools, and developer environments. Ensure seamless deployment and orchestration on AgentSpace, leveraging its capabilities for agent lifecycle management, communication, and scalability. Collaborate with cross-functional teams including QA, DevOps, and product engineering to align AI capabilities with business goals. Define and enforce best practices for agentic AI, including safety, interpretability, and performance monitoring. Stay ahead of emerging trends in LLMs, multi-agent systems, and autonomous software engineering. Required Qualifications Proven experience as an AI Architect, ML Engineer, or similar role with a focus on agentic or autonomous systems. Strong expertise in Google Cloud Platform and its AI/ML ecosystem. 2+ years of experience in building AI/ML solutions, with at least 1+ year focused on generative / Agentic AI. 3+ years experience developing or working with CRM and BPM solutions Familiarity with software testing tools (e.g., Selenium, TestNG, JUnit) and lifecycle processes. Experience deploying and managing agents on AgentSpace or similar platforms. Excellent problem-solving, communication, and leadership skills Primary Skills Google Cloud services (Vertex AI, BigQuery, Cloud Functions, etc.). AI SDLC AI Best Practices Communication Work Experience 10+ Years
11/14/2026
Full time
Job Description Title: AI Architect Location: Las Vegas, NV (Day 1 Onsite, 3 Days WFO - Hybrid). Exp: 10+ Yrs Skills: Google Cloud Service (Vertex AI, BigQuery, Cloud Functions), AI SDLC, AI Best Practices. Primary Skill: SDLC CI/CD, Google Cloud OS, Vertex AI Job Description: Job Requirements Key Responsibilities: Architect and design agentic AI systems tailored for CRM and BPM solutions including requirements to backlog, backlog to build and build to deploy phases of the SDLC Lead the development of autonomous agents capable of reasoning, learning, and collaborating across the test life cycle. Build and optimize AI pipelines using Google Cloud services (Vertex AI, BigQuery, Cloud Functions, etc.). Integrate agents with CI/CD pipelines, test management tools, and developer environments. Ensure seamless deployment and orchestration on AgentSpace, leveraging its capabilities for agent lifecycle management, communication, and scalability. Collaborate with cross-functional teams including QA, DevOps, and product engineering to align AI capabilities with business goals. Define and enforce best practices for agentic AI, including safety, interpretability, and performance monitoring. Stay ahead of emerging trends in LLMs, multi-agent systems, and autonomous software engineering. Required Qualifications Proven experience as an AI Architect, ML Engineer, or similar role with a focus on agentic or autonomous systems. Strong expertise in Google Cloud Platform and its AI/ML ecosystem. 2+ years of experience in building AI/ML solutions, with at least 1+ year focused on generative / Agentic AI. 3+ years experience developing or working with CRM and BPM solutions Familiarity with software testing tools (e.g., Selenium, TestNG, JUnit) and lifecycle processes. Experience deploying and managing agents on AgentSpace or similar platforms. Excellent problem-solving, communication, and leadership skills Primary Skills Google Cloud services (Vertex AI, BigQuery, Cloud Functions, etc.). AI SDLC AI Best Practices Communication Work Experience 10+ Years
Job Description Senior Data Engineer - PySpark & Databricks Location: Charlotte, North Carolina (Hybrid) Need only locals Experience: 10+ Years Job Type: Contract Job Summary We are seeking an experienced Senior Data Engineer with strong hands-on expertise in PySpark, Databricks, Python, and SQL to design, develop, and maintain scalable data engineering solutions. The ideal candidate will have extensive experience building data pipelines, processing large datasets, developing ETL/ELT workflows, and optimizing data processing performance. The candidate must possess strong programming and problem-solving skills, with the ability to write clean, efficient, and production-ready code. Key Responsibilities Design, develop, and maintain scalable data pipelines using PySpark and Databricks. Write, test, debug, and optimize Python, PySpark, and SQL code. Build and maintain ETL/ELT processes for structured and unstructured data. Develop data transformations and workflows to process large volumes of data. Work with Databricks notebooks, Delta Lake, and Spark-based data processing frameworks. Optimize Spark jobs, troubleshoot performance issues, and improve pipeline efficiency. Implement data quality checks, validation, error handling, and monitoring. Integrate data from multiple sources, including databases, APIs, cloud storage, and enterprise systems. Collaborate with data architects, analysts, and business stakeholders to deliver reliable data solutions. Follow coding standards, version control practices, testing procedures, and CI/CD processes. Required Skills 10+ years of experience in data engineering or related software/data development roles. Strong hands-on experience with Python and PySpark . Practical experience developing data solutions using Databricks . Strong SQL skills, including complex queries, joins, aggregations, and query optimization. Experience building and maintaining ETL/ELT data pipelines. Knowledge of Apache Spark architecture, distributed processing, and performance tuning. Experience with Delta Lake and lakehouse architecture. Strong coding, debugging, troubleshooting, and problem-solving skills. Experience with Git and software development best practices. Familiarity with cloud platforms such as AWS, Azure, or GCP. Strong communication and collaboration skills. Preferred Qualifications Experience with Azure Databricks, AWS Databricks, or another cloud-based data platform. Knowledge of data warehousing, dimensional modeling, and data lake architecture. Experience with orchestration tools such as Airflow, Azure Data Factory, or Databricks Workflows. Familiarity with CI/CD, automated testing, and deployment practices. Experience working in Agile development environments.
11/14/2026
Full time
Job Description Senior Data Engineer - PySpark & Databricks Location: Charlotte, North Carolina (Hybrid) Need only locals Experience: 10+ Years Job Type: Contract Job Summary We are seeking an experienced Senior Data Engineer with strong hands-on expertise in PySpark, Databricks, Python, and SQL to design, develop, and maintain scalable data engineering solutions. The ideal candidate will have extensive experience building data pipelines, processing large datasets, developing ETL/ELT workflows, and optimizing data processing performance. The candidate must possess strong programming and problem-solving skills, with the ability to write clean, efficient, and production-ready code. Key Responsibilities Design, develop, and maintain scalable data pipelines using PySpark and Databricks. Write, test, debug, and optimize Python, PySpark, and SQL code. Build and maintain ETL/ELT processes for structured and unstructured data. Develop data transformations and workflows to process large volumes of data. Work with Databricks notebooks, Delta Lake, and Spark-based data processing frameworks. Optimize Spark jobs, troubleshoot performance issues, and improve pipeline efficiency. Implement data quality checks, validation, error handling, and monitoring. Integrate data from multiple sources, including databases, APIs, cloud storage, and enterprise systems. Collaborate with data architects, analysts, and business stakeholders to deliver reliable data solutions. Follow coding standards, version control practices, testing procedures, and CI/CD processes. Required Skills 10+ years of experience in data engineering or related software/data development roles. Strong hands-on experience with Python and PySpark . Practical experience developing data solutions using Databricks . Strong SQL skills, including complex queries, joins, aggregations, and query optimization. Experience building and maintaining ETL/ELT data pipelines. Knowledge of Apache Spark architecture, distributed processing, and performance tuning. Experience with Delta Lake and lakehouse architecture. Strong coding, debugging, troubleshooting, and problem-solving skills. Experience with Git and software development best practices. Familiarity with cloud platforms such as AWS, Azure, or GCP. Strong communication and collaboration skills. Preferred Qualifications Experience with Azure Databricks, AWS Databricks, or another cloud-based data platform. Knowledge of data warehousing, dimensional modeling, and data lake architecture. Experience with orchestration tools such as Airflow, Azure Data Factory, or Databricks Workflows. Familiarity with CI/CD, automated testing, and deployment practices. Experience working in Agile development environments.
Job Description Our client is a quantitative trading firm looking for a Senior Python Engineer to architect and build the critical data science backbone that fuels their research and execution. This is a chance to move beyond typical development cycles and directly impact a global trading platform. You will be building the systems that support their quants and traders, handling petabytes of data on a hybrid CPU/GPU infrastructure. What Makes This Role Unique? Impact at Scale: You will own the core Python platform, building the very foundation that allows for global trading research. Your work will directly enable the rapid deployment of new strategies and technologies. Full-Stack Ownership: You will be responsible for the entire system lifecycle, from initial design to production. This includes architecting for automation, robustness, and observability to ensure seamless performance in extreme market conditions. Direct Partnership with Quants: You'll work side-by-side with the quantitative researchers. This close collaboration means you're not just writing code; you're actively accelerating research and solving complex problems that improve the daily operations. Autonomy and Modern Tooling: You will work with a cutting-edge tech stack that includes Python (NumPy, Pandas/Polars, Cython), containerization (Docker, Kubernetes), and orchestration (Ansible, Terraform, Airflow). Who We're Looking For An experienced engineer with a track record of building and scaling robust, distributed systems. A strong command of Python, with hands-on experience using key libraries like NumPy, Pandas/Polars, and Cython. Proficiency with containerization technologies such as Docker and Kubernetes. Experience with orchestration tools like Ansible, Terraform, or Airflow.
11/14/2026
Full time
Job Description Our client is a quantitative trading firm looking for a Senior Python Engineer to architect and build the critical data science backbone that fuels their research and execution. This is a chance to move beyond typical development cycles and directly impact a global trading platform. You will be building the systems that support their quants and traders, handling petabytes of data on a hybrid CPU/GPU infrastructure. What Makes This Role Unique? Impact at Scale: You will own the core Python platform, building the very foundation that allows for global trading research. Your work will directly enable the rapid deployment of new strategies and technologies. Full-Stack Ownership: You will be responsible for the entire system lifecycle, from initial design to production. This includes architecting for automation, robustness, and observability to ensure seamless performance in extreme market conditions. Direct Partnership with Quants: You'll work side-by-side with the quantitative researchers. This close collaboration means you're not just writing code; you're actively accelerating research and solving complex problems that improve the daily operations. Autonomy and Modern Tooling: You will work with a cutting-edge tech stack that includes Python (NumPy, Pandas/Polars, Cython), containerization (Docker, Kubernetes), and orchestration (Ansible, Terraform, Airflow). Who We're Looking For An experienced engineer with a track record of building and scaling robust, distributed systems. A strong command of Python, with hands-on experience using key libraries like NumPy, Pandas/Polars, and Cython. Proficiency with containerization technologies such as Docker and Kubernetes. Experience with orchestration tools like Ansible, Terraform, or Airflow.
Job Description IRIS direct end client which is one of the leading payroll firm is urgently looking to hire Data Engineer - Databricks & AWS - Roseland, NJ (Hybrid). This is a Contract opportunity. Data Engineer - Databricks & AWS Roseland, NJ 07068 (Hybrid/ 3 days office & 2 days work from home) Nature of Contract - Contract opportunity Job Description: Role Overview: We are seeking an experienced Data Engineer with strong expertise in Databricks , Medallion Architecture , Delta Lake , PySpark/Python , and AWS to build and optimize scalable enterprise data platforms. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines on Databricks. Implement and manage Medallion Architecture (Bronze, Silver, Gold layers). Build curated datasets for analytics, reporting, and AI/ML initiatives. Integrate data from multiple structured and unstructured data sources. Optimize Databricks workloads, Delta Lake tables, and query performance. Ensure data quality, monitoring, validation, and governance standards. Collaborate with business stakeholders, architects, and analytics teams. Required Skills 8+ years of Data Engineering experience. Strong hands-on experience with Databricks , Delta Lake , and Medallion Architecture . Proficiency in Python/PySpark and advanced SQL . Experience building enterprise-scale ETL/ELT solutions. Strong experience with AWS cloud services. Solid understanding of Lakehouse Architecture and data modeling. Experience with GitHub, Jira , and Agile methodologies. Preferred Skills Experience with Vector Databases, Graph Databases, or NoSQL technologies. Exposure to AI/ML, RAG architectures, and LLM-based data platforms . Experience with Terraform, Jenkins, Splunk, or Dynatrace Looking forward to hear from you Best Regards, Bharat Sharma Sr. Talent Acquisition - Executive Iris Software 200 Metroplex Drive, Suite Edison, NJ 08817 Mail:
11/14/2026
Full time
Job Description IRIS direct end client which is one of the leading payroll firm is urgently looking to hire Data Engineer - Databricks & AWS - Roseland, NJ (Hybrid). This is a Contract opportunity. Data Engineer - Databricks & AWS Roseland, NJ 07068 (Hybrid/ 3 days office & 2 days work from home) Nature of Contract - Contract opportunity Job Description: Role Overview: We are seeking an experienced Data Engineer with strong expertise in Databricks , Medallion Architecture , Delta Lake , PySpark/Python , and AWS to build and optimize scalable enterprise data platforms. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines on Databricks. Implement and manage Medallion Architecture (Bronze, Silver, Gold layers). Build curated datasets for analytics, reporting, and AI/ML initiatives. Integrate data from multiple structured and unstructured data sources. Optimize Databricks workloads, Delta Lake tables, and query performance. Ensure data quality, monitoring, validation, and governance standards. Collaborate with business stakeholders, architects, and analytics teams. Required Skills 8+ years of Data Engineering experience. Strong hands-on experience with Databricks , Delta Lake , and Medallion Architecture . Proficiency in Python/PySpark and advanced SQL . Experience building enterprise-scale ETL/ELT solutions. Strong experience with AWS cloud services. Solid understanding of Lakehouse Architecture and data modeling. Experience with GitHub, Jira , and Agile methodologies. Preferred Skills Experience with Vector Databases, Graph Databases, or NoSQL technologies. Exposure to AI/ML, RAG architectures, and LLM-based data platforms . Experience with Terraform, Jenkins, Splunk, or Dynatrace Looking forward to hear from you Best Regards, Bharat Sharma Sr. Talent Acquisition - Executive Iris Software 200 Metroplex Drive, Suite Edison, NJ 08817 Mail:
Job Description About the Opportunity We are partnering with a leading quantitative trading firm in Chicago seeking a Systems Engineer to join its global Platform Engineering team. This team is responsible for building, maintaining, and optimizing the critical infrastructure that supports software development, research, and trading operations across the firm. As engineering workflows evolve with AI-assisted development and automation, the firm is investing heavily in modernizing its developer infrastructure to improve performance, reliability, and scalability. This is a hands-on opportunity for an engineer who enjoys solving complex infrastructure challenges, automating processes, and working with high-performance systems in a fast-paced environment. Key Responsibilities Manage and optimize developer infrastructure, including CI/CD pipelines, source control systems, artifact repositories, and build execution environments. Improve the reliability, scalability, and performance of critical services across on-premises infrastructure and AWS cloud environments. Troubleshoot production incidents, identify performance bottlenecks, and implement long-term solutions. Build automation to improve system efficiency, reduce manual intervention, and enhance operational reliability. Develop and maintain monitoring, logging, observability, and alerting systems. Implement high-availability configurations, failover strategies, and disaster recovery processes. Support containerized environments and infrastructure orchestration. Collaborate with software engineering and infrastructure teams globally to improve developer workflows. Explore opportunities to leverage AI and automation within infrastructure operations. Required Qualifications 2-3+ years of experience in Systems Engineering, Site Reliability Engineering (SRE), Platform Engineering, DevOps, or related infrastructure roles. Strong programming or automation experience with Python or Go. Solid knowledge of Linux/Unix operating systems and systems administration. Experience with CI/CD tools such as Jenkins, GitLab CI, or TeamCity. Hands-on experience with Docker and Kubernetes. Familiarity with cloud infrastructure, preferably AWS, and on-premises environments. Understanding of monitoring, observability, high availability, and disaster recovery concepts. Strong troubleshooting skills and an ability to work independently on complex technical problems. Excellent communication skills and a collaborative mindset. Why Consider This Opportunity? Work at a leading quantitative trading firm with a strong engineering culture. Gain exposure to complex, high-performance infrastructure supporting global trading operations. Take ownership of critical developer services used by engineering and research teams. Work with modern technologies across Linux, Python/Go, Kubernetes, AWS, and distributed build systems. Join a highly collaborative global engineering team with opportunities to make a meaningful technical impact.
11/14/2026
Full time
Job Description About the Opportunity We are partnering with a leading quantitative trading firm in Chicago seeking a Systems Engineer to join its global Platform Engineering team. This team is responsible for building, maintaining, and optimizing the critical infrastructure that supports software development, research, and trading operations across the firm. As engineering workflows evolve with AI-assisted development and automation, the firm is investing heavily in modernizing its developer infrastructure to improve performance, reliability, and scalability. This is a hands-on opportunity for an engineer who enjoys solving complex infrastructure challenges, automating processes, and working with high-performance systems in a fast-paced environment. Key Responsibilities Manage and optimize developer infrastructure, including CI/CD pipelines, source control systems, artifact repositories, and build execution environments. Improve the reliability, scalability, and performance of critical services across on-premises infrastructure and AWS cloud environments. Troubleshoot production incidents, identify performance bottlenecks, and implement long-term solutions. Build automation to improve system efficiency, reduce manual intervention, and enhance operational reliability. Develop and maintain monitoring, logging, observability, and alerting systems. Implement high-availability configurations, failover strategies, and disaster recovery processes. Support containerized environments and infrastructure orchestration. Collaborate with software engineering and infrastructure teams globally to improve developer workflows. Explore opportunities to leverage AI and automation within infrastructure operations. Required Qualifications 2-3+ years of experience in Systems Engineering, Site Reliability Engineering (SRE), Platform Engineering, DevOps, or related infrastructure roles. Strong programming or automation experience with Python or Go. Solid knowledge of Linux/Unix operating systems and systems administration. Experience with CI/CD tools such as Jenkins, GitLab CI, or TeamCity. Hands-on experience with Docker and Kubernetes. Familiarity with cloud infrastructure, preferably AWS, and on-premises environments. Understanding of monitoring, observability, high availability, and disaster recovery concepts. Strong troubleshooting skills and an ability to work independently on complex technical problems. Excellent communication skills and a collaborative mindset. Why Consider This Opportunity? Work at a leading quantitative trading firm with a strong engineering culture. Gain exposure to complex, high-performance infrastructure supporting global trading operations. Take ownership of critical developer services used by engineering and research teams. Work with modern technologies across Linux, Python/Go, Kubernetes, AWS, and distributed build systems. Join a highly collaborative global engineering team with opportunities to make a meaningful technical impact.
Job Description Senior Data Engineer - Hedge Fund - New York - Up to $400k TC Join a leading Hedge Fund where Data Engineering sits at the heart of the investment process. Global hedge fund with a consistent record of strong returns Heavy investment in technology and data, seen as a real edge Lean, senior teams working directly with PMs and quants A hands-on senior role building the data platform behind research, trading and risk, turning large, messy datasets into reliable data the investment teams use every day. What you'll be working on : Building scalable batch and streaming pipelines for market and alternative data Onboarding new datasets end to end Improving data quality, monitoring and architecture Working closely with researchers and PMs on what they need What they're looking for : Solid experience building production data pipelines at scale, ideally within a Trading Firm, Hedge Fund, or Investment Bank Strong Python and SQL; Spark, Kafka or similar a plus Experience with financial or time series data, ideally buy-side or trading Pragmatic, ownership-driven approach What's on offer : Up to $400,000 TC Real influence over the platform's direction A collaborative, high-calibre engineering culture Particularly relevant for data engineers from hedge funds, prop trading firms or data-heavy tech companies. Apply directly or email for a confidential chat.
11/14/2026
Full time
Job Description Senior Data Engineer - Hedge Fund - New York - Up to $400k TC Join a leading Hedge Fund where Data Engineering sits at the heart of the investment process. Global hedge fund with a consistent record of strong returns Heavy investment in technology and data, seen as a real edge Lean, senior teams working directly with PMs and quants A hands-on senior role building the data platform behind research, trading and risk, turning large, messy datasets into reliable data the investment teams use every day. What you'll be working on : Building scalable batch and streaming pipelines for market and alternative data Onboarding new datasets end to end Improving data quality, monitoring and architecture Working closely with researchers and PMs on what they need What they're looking for : Solid experience building production data pipelines at scale, ideally within a Trading Firm, Hedge Fund, or Investment Bank Strong Python and SQL; Spark, Kafka or similar a plus Experience with financial or time series data, ideally buy-side or trading Pragmatic, ownership-driven approach What's on offer : Up to $400,000 TC Real influence over the platform's direction A collaborative, high-calibre engineering culture Particularly relevant for data engineers from hedge funds, prop trading firms or data-heavy tech companies. Apply directly or email for a confidential chat.
