Senior Data Engineer

The Chief Information Officer’s (CIO) primary role is to develop and maintain business relationships with selected clients in order to strategically plan and combine the client’s technology alignment needs with their business goals. The CIO collaborates with and advises our clients' IT departments and performs the same functions as a conventional CIO. The duties include formulating strategic IT goals, planning the IT budget, digital transformation, analyzing and reworking business processes and facilitating technology changes. CIO are responsible for gaining knowledge of their clients’ business use of technology. In addition to maintaining client relationships, CIOs must collaborate and maintain excellent rapport with all GXA’s service delivery including professional services, information security, reactive support and technical alignment. The CIO acts as a trusted adviser to our clients by challenging the status quo and aligning digital transformation initiatives with overall growth. Example business process automation, risk mitigation, AI, ML, Cloud and security. Strong software and applications knowledge and how it impacts SMB market a plus. The CIO provides our clients strategies that maintain and secure their existing IT infrastructure. They provide forward-looking services, such as developing long-term strategic IT goals and identifying opportunities to drive innovation, as well as business success and revenue. At the core of the CIO role are 4 key areas: Identifying business risk Strategic technology budgeting and road mapping Digital transformation Managing business relationship Responsibilities Manages relationships with principals, owners, and key stakeholders in client organizations. Understands technology business drivers in client organizations. Develop understanding of how our clients serve and interact with their clients and how GXA can impact how they do business through technology. Develops Strategic technology roadmaps and provides budget planning expertise to clients. Implement true digital transformation initiatives at our clients’ environments. Educates clients on technology trends, risk and opportunities. Performs technical business consulting. Analyze clients’ business processes and develop plans to rework them and facilitate technology changes. Lead technical discussions with the GXA team and clients as it relates to their business and technology roadmap. Continuously work to provide clients with the right technology to accomplish business goals and objectives utilizing GXA’s service lines or other third-party services. Works with clients and other GXA functions on project scoping and management. Look for opportunities to surpass clients' expectations. Requirements 10+ years related experience, managing IT in the small / medium business market (mandatory) Ability to tie IT strategy to business goals. Knowledge of technology trends. A firm grasp of IT project planning and management. Experience in the IT budgeting process. Strong interpersonal/communication skills. Flexibility regarding changing business goals. A strong passion for and alignment with GXA’s why. Ability to build strong relationships with executive level leaders. A high degree of business awareness and commercial acumen. Strong organizational, time management and prioritization skills with great attention to detail. Able to take a creative approach to situations and problem solving. Effective communication and negotiation skills with all levels, technical through to director. Experience identifying and speaking to technical solutions for business problems. Ability to understand and communicate the importance of investing in certain technologies. Understanding of technical concepts / methodologies (prior hands-on technical experience is a plus) Self-driven and highly motivated with a positive attitude. Committed to quality and ongoing process and procedure improvements. Demonstrated leadership and executive skills. Benefits Benefits Available Health Care Plan (Medical, Dental & Vision) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Auxiliary Benefit Offerings (Legal Shield/Aflac)

This position is posted by Jobgether on behalf of SecurityScorecard. We are currently looking for a Senior Data Scientist in Austin. As a Senior Data Scientist, you will drive innovation in cybersecurity by developing advanced machine learning models that power a global risk rating platform. You’ll work with complex datasets to uncover threats, assess risk, and deliver intelligence that protects businesses worldwide. Collaborating closely with engineers and product teams, your insights will directly shape data-driven decisions and enhance platform accuracy. This role is ideal for a data scientist passionate about using AI to solve high-impact real-world problems in a rapidly growing tech environment. Accountabilities: Design, build, and deploy machine learning models for cybersecurity risk scoring and threat intelligence. Analyze large, complex datasets to detect patterns, anomalies, and meaningful insights. Collaborate with engineering and product teams to integrate models into production environments. Lead data science initiatives, contribute to code reviews, and define best practices. Validate models for robustness, scalability, and real-world applicability. Translate complex technical findings into actionable business recommendations for both technical and non-technical stakeholders. Stay current with emerging data science methods and apply them to evolving cybersecurity challenges. Requirements Minimum 5 years of hands-on experience applying data science and machine learning to real-world challenges. Advanced degree in Computer Science, Mathematics, Statistics, or related quantitative field — or equivalent experience. Proficiency in Python and machine learning frameworks such as scikit-learn, XGBoost, MLFlow, or PyTorch. Experience with cloud data platforms such as AWS, GCP, or similar. Solid knowledge of ML algorithms, performance metrics, and model deployment workflows. Strong communication skills with the ability to present technical content clearly. Experience or interest in cybersecurity, risk scoring, or threat intelligence is a significant plus. Familiarity with LLMs and/or Scala is a plus. Benefits Competitive salary and performance-based incentives. Stock options and equity participation. Unlimited paid time off and generous parental leave policies. Comprehensive health, vision, and dental insurance. Tuition reimbursement and learning opportunities. Flexible remote or hybrid work environment. An inclusive workplace culture recognized by Fast Company, Inc. Magazine, and others. 💵 Estimated total compensation: $158,000 – $183,000 (base + bonus), subject to experience, skills, and role fit. Our Hiring Process Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and bias-free, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the hiring company. The final decision and next steps (e.g., interviews or technical assessments) are then handled by their internal team. Thank you for your interest! #LI-CL1

This position is posted by Jobgether on behalf of SecurityScorecard. We are currently looking for a Senior Data Scientist in Austin. As a Senior Data Scientist, you will drive innovation in cybersecurity by developing advanced machine learning models that power a global risk rating platform. You’ll work with complex datasets to uncover threats, assess risk, and deliver intelligence that protects businesses worldwide. Collaborating closely with engineers and product teams, your insights will directly shape data-driven decisions and enhance platform accuracy. This role is ideal for a data scientist passionate about using AI to solve high-impact real-world problems in a rapidly growing tech environment. Accountabilities: Design, build, and deploy machine learning models for cybersecurity risk scoring and threat intelligence. Analyze large, complex datasets to detect patterns, anomalies, and meaningful insights. Collaborate with engineering and product teams to integrate models into production environments. Lead data science initiatives, contribute to code reviews, and define best practices. Validate models for robustness, scalability, and real-world applicability. Translate complex technical findings into actionable business recommendations for both technical and non-technical stakeholders. Stay current with emerging data science methods and apply them to evolving cybersecurity challenges. Requirements Minimum 5 years of hands-on experience applying data science and machine learning to real-world challenges. Advanced degree in Computer Science, Mathematics, Statistics, or related quantitative field — or equivalent experience. Proficiency in Python and machine learning frameworks such as scikit-learn, XGBoost, MLFlow, or PyTorch. Experience with cloud data platforms such as AWS, GCP, or similar. Solid knowledge of ML algorithms, performance metrics, and model deployment workflows. Strong communication skills with the ability to present technical content clearly. Experience or interest in cybersecurity, risk scoring, or threat intelligence is a significant plus. Familiarity with LLMs and/or Scala is a plus. Benefits Competitive salary and performance-based incentives. Stock options and equity participation. Unlimited paid time off and generous parental leave policies. Comprehensive health, vision, and dental insurance. Tuition reimbursement and learning opportunities. Flexible remote or hybrid work environment. An inclusive workplace culture recognized by Fast Company, Inc. Magazine, and others. 💵 Estimated total compensation: $158,000 – $183,000 (base + bonus), subject to experience, skills, and role fit. Our Hiring Process Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and bias-free, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the hiring company. The final decision and next steps (e.g., interviews or technical assessments) are then handled by their internal team. Thank you for your interest! #LI-CL1

This position is posted by Jobgether on behalf of Pindrop. We are currently looking for an IT Engineer in Atlanta. This is a unique opportunity to join a passionate and forward-thinking team at the intersection of technology and security. You will play a key role in integrating and optimizing IT systems that support internal operations, automation, and user experience. Working in a fast-paced environment, you’ll be exposed to cutting-edge platforms, cloud solutions, and tools that drive secure digital transformation. If you are energized by innovative problem-solving, automation, and supporting scalable infrastructure, this role is for you. Accountabilities: Design and integrate internal IT systems and SaaS platforms using both off-the-shelf and customized tools. Implement automation using Okta and related workflows to streamline provisioning and communications. Lead MDM engineering efforts using Jamf, Munki, and AutoPkg. Administer and support platforms including Google Workspaces, Slack, Office 365, and Duo. Provide technical support to internal users and optimize infrastructure using AWS and GCP. Support Active Directory and AWS Workspace environments. Analyze business needs to develop integration strategies that improve operations and user experience. Requirements 5+ years of experience in an IT support or engineering role. Extensive experience with SaaS product integrations in Okta, including custom tooling and HRIS connections. Proficiency in Okta Workflows, SaaS APIs, and automation. Hands-on experience with Google Workspace, Slack, Zoom, and macOS support. Familiarity with Windows environments and Active Directory is a plus. Basic scripting or Python experience. Strong troubleshooting and problem-solving skills. Effective communication, self-motivation, and a proactive mindset. Ability to learn new technologies quickly and adapt in a fast-changing environment. Benefits Competitive compensation with a base pay between 75,000 and 105,000 USD plus annual discretionary bonus. Equity for all employees. Unlimited Paid Time Off and 4 company-wide rest days annually. Generous health, dental, and vision plans, including one fully employer-paid plan. Best-in-class HSA contribution. Paid parental leave for all parents, plus a full year of diaper delivery. Life, disability, and identity protection benefits. Remote-first culture with monthly home office allowance. Company holidays, wellness programs, and Focus Thursdays. Annual learning and development budget. Choose your own Apple MacBook Pro. 401(k) plan with a competitive employer match. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

This position is posted by Jobgether on behalf of Pindrop. We are currently looking for an IT Engineer in Atlanta. This is a unique opportunity to join a passionate and forward-thinking team at the intersection of technology and security. You will play a key role in integrating and optimizing IT systems that support internal operations, automation, and user experience. Working in a fast-paced environment, you’ll be exposed to cutting-edge platforms, cloud solutions, and tools that drive secure digital transformation. If you are energized by innovative problem-solving, automation, and supporting scalable infrastructure, this role is for you. Accountabilities: Design and integrate internal IT systems and SaaS platforms using both off-the-shelf and customized tools. Implement automation using Okta and related workflows to streamline provisioning and communications. Lead MDM engineering efforts using Jamf, Munki, and AutoPkg. Administer and support platforms including Google Workspaces, Slack, Office 365, and Duo. Provide technical support to internal users and optimize infrastructure using AWS and GCP. Support Active Directory and AWS Workspace environments. Analyze business needs to develop integration strategies that improve operations and user experience. Requirements 5+ years of experience in an IT support or engineering role. Extensive experience with SaaS product integrations in Okta, including custom tooling and HRIS connections. Proficiency in Okta Workflows, SaaS APIs, and automation. Hands-on experience with Google Workspace, Slack, Zoom, and macOS support. Familiarity with Windows environments and Active Directory is a plus. Basic scripting or Python experience. Strong troubleshooting and problem-solving skills. Effective communication, self-motivation, and a proactive mindset. Ability to learn new technologies quickly and adapt in a fast-changing environment. Benefits Competitive compensation with a base pay between 75,000 and 105,000 USD plus annual discretionary bonus. Equity for all employees. Unlimited Paid Time Off and 4 company-wide rest days annually. Generous health, dental, and vision plans, including one fully employer-paid plan. Best-in-class HSA contribution. Paid parental leave for all parents, plus a full year of diaper delivery. Life, disability, and identity protection benefits. Remote-first culture with monthly home office allowance. Company holidays, wellness programs, and Focus Thursdays. Annual learning and development budget. Choose your own Apple MacBook Pro. 401(k) plan with a competitive employer match. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

OPPO US Research Center is seeking a full-time meticulous and innovative AI/LLM Test Engineer to join our cutting-edge AI team. In this critical role, you will evaluate the performance, reliability, and safety of Large Language Models (LLMs) in real-world product scenarios and test end-to-end generative AI solutions. Your work will directly shape how users experience AI-powered features by ensuring robustness, accuracy, and alignment with product goals. This is a unique opportunity to pioneer testing methodologies for next-generation AI systems at the forefront of technology. We are also seeking a Contractor based LLM Evaluation & QA Engineer to support the testing and validation of large language model (LLM)-powered applications. You will help implement test strategies, execute evaluation workflows, and assist in model performance validation across diverse generative AI use cases. This contract role is ideal for someone with hands-on experience in AI/ML evaluation, QA engineering, or data analysis who wants to deepen their exposure to generative AI systems. Requirements Full-time position requirement: Core Testing & Evaluation Design and execute performance tests for LLMs across diverse product use cases (e.g., chatbots, content generation etc.). Develop automated test frameworks to evaluate LLM outputs for accuracy, bias, safety, and coherence. Conduct end-to-end testing of integrated generative AI solutions, including APIs, data pipelines, and user interfaces. Optimization & Validation Collaborate with ML engineers to validate fine-tuned models and optimize prompts for target scenarios. Analyze model failures, edge cases, and adversarial inputs to identify risks and improvement areas. Benchmark LLM performance against industry standards and product-specific KPIs. Collaboration & Quality Assurance Partner with product, engineering, and research teams to define test requirements and acceptance criteria. Document defects, performance metrics, and test results to drive data-driven improvements. Advocate for AI ethics and safety through rigorous testing of fairness, bias mitigation, and content moderation. Innovation & Tooling Build scalable tools for synthetic test data generation, prompt variation testing, and automated evaluation workflows. Stay current with advancements in generative AI testing, including red-teaming techniques and evaluation frameworks (e.g., HELM, Dynabench). Propose novel testing strategies for emerging challenges (e.g., hallucinations, context drift). Basic Qualifications: Bachelor’s degree in Computer Science, Data Science, Engineering, or a related technical field, or equivalent practical experience. 1+ years of experience in software testing, data science, or ML validation, with exposure to AI/ML systems. Proficiency in Python and testing frameworks (e.g., PyTest, Selenium). Hands-on experience evaluating LLMs in production environments (e.g., GPT, Claude, Llama, Gemini). Strong analytical skills for dissecting model behavior, statistical performance, and failure modes. Familiarity with cloud platforms (GCP, Azure, or AWS) and MLOps tooling (e.g., MLflow, Weights & Biases). Experience with version control (Git) and agile development methodologies. Preferred Qualifications: Master’s degree in AI, Machine Learning, or a related field. Expertise in prompt engineering, LLM fine-tuning (e.g., LoRA, RLHF), or optimization techniques. Experience with automated evaluation tools (e.g., LangChain, TruLens) or LLM-specific test suites. Knowledge of data pipelines, SQL/NoSQL databases, and API testing (e.g., Postman). Background in statistics, quantitative analysis, or data visualization for test insights. Contributions to AI safety/ethics initiatives or open-source LLM evaluation projects. Experience testing mobile-integrated AI solutions (Android/iOS). Contractor position requirements: Testing & Evaluation Support: Execute pre-defined performance tests for LLMs across various tasks (e.g., summarization, Q&A, chatbot flows). Run scripted evaluations to assess outputs for factuality, coherence, and safety. Perform manual and automated test execution on APIs and LLM-integrated user interfaces. Prompt & model validation: Assist ML engineers in evaluating prompt variations and prompt-tuning outcomes. Log and analyze failure cases, anomalies, and edge cases based on provided guidelines. Collabration & Documentation Work with QA leads, product managers, and ML engineers to understand test goals and criteria. Report defects, compile evaluation summaries, and maintain testing logs. Tooling & Antomation: Use existing internal tools or frameworks to automate test runs and result collection. Contribute to prompt generation, input templating, or result tagging processes. Basic Qualifications: Bachelor's degree or equivalent work experience in a technical field (e.g., Computer Science, Engineering, Data Science). 6+ months experience in software QA, data labeling, LLM evaluation, or ML testing projects. Basic Python proficiency, especially for data processing and automation tasks. Familiarity with LLMs (e.g., GPT, Claude, Gemini) and prompt-based outputs. Comfortable working with tools like Jupyter, Postman, or testing dashboards. Detail-oriented with good documentation habits. Contractor Details: Duration: Long term Rate: Commensurate with experience Conversion Opportunity: High-performing contractors may be considered for full-time roles Benefits OPPO is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. The US base salary range for this full-time position is $100,000-$200,000 + bonus + long term incentives benefits. Our salary ranges are determined by role, level, and location.