Join Us in this Amazing Opportunity The Team You’ll Join We are a mission driven community-based organization that serves member health with excellence and dignity, respecting the value and needs of each person. If you are ready to advance your career while making a difference, we encourage you to review and apply today and help us build healthier communities for all. More About the Opportunity We are hoping you will join us as a Data Operations Engineer & Analyst (Data Warehouse Programmer/Analyst) and help shape the future of healthcare where you’ll be an integral part of our Enterprise Data and Systems Integrations team, helping to strive for excellence while we serve our member health with dignity, respecting the value and needs of each of our members through collaboration with our providers, community partners and local stakeholders. This position has been approved to be Full Telework. - If telework is approved, you are required to work within the State of California only and if Partial Telework, also come in to the Main Office in Orange, CA, at least two (2) days per week minimum. The Data Warehouse Programmer/Analyst will be responsible for designing, building, and operating large-scale enterprise cloud data platforms while driving the evolution of our data governance framework. You will ensure the delivery of reliable, scalable and high-quality data pipelines that power analytics, reporting and data science initiatives. You will collaborate with CalOptima Health leadership and cross-functional teams, including data stewards, warehousing, analytics and security, to strengthen data platform operations and advance governance goals, policies and best practices. Also, you will enable informed health care decision-making, reduce regulatory risk and improve organizational performance through strengthening data accountability and operational consistency. Together, we are building a stronger, more equitable health system. Your Contributions To the Team: - 90% - Technical Responsibilities - Participates in a mission driven culture of high-quality performance, with a member focus on customer service, consistency, dignity and accountability. - Assists the team in carrying out department responsibilities and collaborates with others to support short and long-term goals/priorities for the department. - Designs, supports and maintains scalable, modular ETL/ELT pipelines (e.g., SSIS, PySpark) for ingestion, transformation and delivery, embedding governance controls for data quality, lineage and compliance. - Partners with the Data Warehouse team to co-develop solutions on the modern data platform (e.g., Snowflake, Databricks, Microsoft Fabric), embedding data quality, lineage and compliance requirements into engineering workflows. - Modernizes legacy SQL-based transformations into parameterized, config-driven pipelines for reusability and scalability. - Designs and maintains data pipelines for historical tracking, snapshots, handling slowly changing datasets and leveraging modern data platforms and frameworks. - Contributes to continuous integration/continuous delivery (CI/CD) automation for data workflows, including version control (e.g., GitHub), orchestration frameworks, and automated testing. - Develops and maintains automation scripts to streamline data governance processes and operational tasks. - Monitors and troubleshoots data workflows, resolving issues related to data movement, transformation, and system performance. - Stays informed on emerging data technologies, tools and best practices, and proactively recommends enhancements to data engineering processes and platform capabilities. - Supports end-to-end pipeline operations, including orchestration, monitoring, alerting and service level agreement (SLA) management using appropriate tools (e.g., Airflow). - Implements data quality checks and anomaly detection as part of engineering workflows to ensure trust in analytical datasets. - Partners with data engineers to optimize jobs, SQL queries and data platform workloads for performance and cost efficiency. - Drives governance of the enterprise data platform to ensure consistent ingestion, naming conventions, schema management, and enrichment of data assets for reliable analytics. - Partners with cybersecurity to implement robust data protection standards and maintain regulatory compliance (e.g., Health Insurance Portability and Accountability Act (HIPAA)) to reduce risk exposure. - Tracks and reports governance maturity through key performance indicators (KPIs) and dashboards; contributes to policy development and council initiatives. - Maintains clear documentation of data flows, definitions and validation processes to ensure transparency and traceability. - Creates process maps and diagrams to support stewardship and communicate effectively with both technical and business stakeholders. - Queries and analyzes large-scale health care datasets and business logic (e.g., claims, pharmacy, patient data) using SQL and other tools. - Provides employee engagement sessions to strengthen data literacy and reinforce governance principles, practices, roles, and accountability expectations. - Manages multiple projects simultaneously, ensuring timely delivery and alignment with stakeholder expectations. - 10% - Other - Completes other projects and duties as assigned. Do You Have What the Role Requires? - Bachelor’s degree in computer science, health informatics, data analytics or a related field PLUS 5 years of professional experience in data management, data governance or enterprise information management required; an equivalent combination of education and experience sufficient to successfully perform the essential duties of the position such as those listed above may also be qualifying. - 4 years of hands-on experience working with health care data, including administrative and clinical datasets, and familiarity with HIPAA compliance required. You’ll Stand Out More If You Possess the Following: - Master’s degree in computer science, health informatics, data analytics or a related field. - Experience with at least one other programming language (e.g., Python, Scala) for automation and analysis. - Experience designing and implementing data pipelines in cloud environments, including orchestration frameworks (e.g., Apache Airflow, Azure Data Factory). - Experience with CI/CD tools and practices (e.g., GitHub, Azure DevOps) for data workflows. - In-depth experience with SQL Server Integration Services (SSIS) for complex ETL development and optimization. - Hands-on experience with cloud data platforms and big data architectures, including Snowflake, Databricks or Microsoft Fabric on Azure. - Experience in regulated industries (e.g., government). - Relevant certifications. What the Regulatory Agencies Need You to Possess? - n/a Your Knowledge & Abilities to Bring to this Role: - Develop rapport and establish and maintain effective working relationships with CalOptima Health's leadership and staff and external contacts at all levels and with diverse backgrounds. - Work independently and exercise sound judgment. - Communicate clearly and concisely, both orally and in writing. - Work a flexible schedule; available to participate in evening and weekend events. - Organize, be analytical, problem-solve and possess project management skills. - Work in a fast-paced environment and in an efficient manner. - Manage multiple projects and identify opportunities for internal and external collaboration. - Motivate and lead multi-program teams and external committees/coalitions. - Utilize computer and appropriate software (e.g., Microsoft Office: Word, Outlook, Excel, PowerPoint) and job specific applications/systems to produce correspondence, charts, spreadsheets, and/or other information applicable to the position assignment. Your Physical Requirements (With or Without Accommodations): - Ability to visually read information from computer screens, forms and other printed materials and information. - Ability to speak (enunciate) clearly in conversation and general communication. - Hearing ability for verbal communication/conversation/responses via telephone, telephone systems, and face-to-face interactions. - Manual dexterity for typing, writing, standing and reaching, flexibility, body movement for bending, crouching, walking, kneeling and prolonged sitting. - Lifting and moving objects, patients and/or equipment 10 to 25 pounds Ways We Are Here For You - You’ll enjoy competitive compensation for this role. - Our current hiring range is: Pay Grade: 314 - $99,902 - $159,843 ($48.03 - $76.8476). - The final salary offered will be based on education, job-related knowledge and experience, skills relevant to the role and internal equity among other factors. - This position is approved for Full Telework (**If the position is Telework, it is eligible in California only**) - A comprehensive benefits package - CalPERS pension program and additional retirement packages. - Additional benefits and perks including: - A generous PTO program - A quality work life balance - Various wellness programs - Tuition Reimbursement - Professional development opportunities - Career development opportunities - Flexible scheduling - And the satisfaction of knowing your work directly impacts and improves healthcare access for thousands of individuals and families. Our Work Environment: If located at the 500, 505 Building or a remote work location: - Work is typically indoors and sedentary and is subject to schedule changes and/or variable work hours, with travel as needed. - There are no harmful environmental conditions present for this job. - The noise level in this work environment is usually moderate. If located at PACE: - Work is typically indoors in a clinical setting serving the frail and elderly. - There may be harmful or hazardous environmental conditions present for this job. - The noise level in this work environment is usually moderate to loud. If located in the Community: - Work is typically indoors and sedentary and is subject to schedule changes and/or variable work hours, with travel as needed. - Employee will occasionally work outdoors in varied temperatures. - There may be harmful or hazardous environmental conditions present for this job. - The noise level in this work environment is usually moderate to loud. Why Join Us? We believe that diverse perspectives drive innovation. Each employee brings a unique perspective to the overall team and we value everyone's input and we are committed to creating an inclusive environment where you and every team member can thrive while making a meaningful impacts on our community members. Our team reflects and represents the communities we serve, and we welcome candidates from all backgrounds who share our commitment to accessible, quality healthcare. What's Your Next Step? All Applications will be accepted on a continuous basis until a sufficient number of qualified applications have been received. Do NOT miss out. If you want to join our team, the deadline for the first review of applications is March 2, 2026 at 9:00 PM (PST). We are encouraging you to apply early. If you apply after the first review date, your application is not guaranteed to be considered for this recruitment. This recruitment may close at any time without notice after the first review date. Our Commitment to You Your application and resume will be reviewed by a dedicated recruiter to this position. If your experience matches what we need, we will reach out to you to discuss the next steps. The selection process may include, but is not limited to, a skills assessment, phone screen and interview. If you make it through the steps above and are selected for this exciting role, you will be required to undergo a reference and a background check (to include a conviction record) and if applicable also pass a drug screening and/or a post-offer pre-employment medical examination (for specific positions) If you are an Internal CalOptima Health applicant, please apply through the internal portal on InfoNet. We will make sure to keep you updated through each step of the process on your candidate portal. Please make sure to watch for updates on your candidate portal and you emails which will be sent to the email address you listed on your application. Please check your email, including your SPAM folder, regularly throughout the recruitment process. CalOptima Health is committed to attracting, hiring, and retaining a diverse staff, where we will honor your unique experiences, identity, and perspectives. Our organization strives to create and maintain a workplace environment that is inclusive, equitable and welcoming so we can truly be Better Together. CalOptima Health is an equal opportunity employer and makes all employment decisions on the basis of merit. CalOptima Health wants to have qualified employees in every job position. CalOptima Health prohibits unlawful discrimination against any employee, or applicant for employment, based on race, religion/religious creed, color, national origin, ancestry, mental or physical disability, medical condition, genetic information, marital status, sex, sex stereotype, gender, gender identity, gender expression, transitioning status, age, sexual orientation, immigration status, military status as a disabled veteran, or veteran of the Vietnam era, or any other consideration made unlawful by federal, state, or local laws. CalOptima Health also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has, or is perceived as having, any of those characteristics. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation at (714) 246-8400 if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability.

Reports to: Head of ML Data Infrastructure Department: AI Engineering Platform FLSA Category: Exempt Position Type: Full-Time, Mid-Senior Level Travel Requirement: 0-10%, Quarterly for meetings Office Location: Remote, US Based JOB SUMMARY We are seeking an experienced Principal/Senior Software Engineer, Data/ML Platform to define and lead the technical vision for our large-scale data and machine learning infrastructure. You will architect and build the systems that enable our teams to deliver intelligent, data-driven, and agentic AI products. This is a hands-on leadership role combining deep technical expertise with strategic impact across the organization. Essential Functions & Key Responsibilities: - Define and implement the data architecture and software systems that underpin our ML and - AI platforms. - Lead design and development of scalable data pipelines, APIs, and services enabling Data-as-a-Service for ML use cases. - Architect real-time and batch data serving frameworks for training, inference, and feedback - loops. - Drive engineering excellence and platform scalability across distributed environments. - Collaborate with AI Platform leadership, MLOps, and backend teams to shape long-term technical strategy. - Mentor and guide senior engineers, establishing standards for design, testing, and deployment. - Evaluate emerging technologies and tools to strengthen the platform’s reliability and - performance. - Champion best practices in software architecture, data quality, and performance optimization Qualifications & Experience Requirements: - Bachelor’s in Computer Science, Engineering, or related field (Master’s preferred). - 7+ years of experience in software engineering, or ML/Data platform development. - Expertise is preferred in Python, Java, and/or PySpark for distributed data and service - development. - Proven experience architecting cloud-native data and ML systems (preferably GCP + - Databricks). - Deep understanding of system design, data modeling, and distributed computing. - Demonstrated leadership in scaling large, data-intensive systems and mentoring engineering - teams. - Excellent communication, technical leadership, and stakeholder management skills. - Strong system design and architecture skills. - Excellent debugging and troubleshooting abilities. - Expertise with automated testing. - Ability to thrive in a highly dynamic, fast-paced environment. Why This Role Matters? You will define the data foundation of our Agentic-AI platform, transforming raw information into a trusted, scalable data service that directly fuels brand growth solutions in MarTech and AdTech. Your work ensures our Application & ML engineers can build inference-as-a-service products faster, cheaper, and with higher accuracy. PHYSICAL REQUIREMENTS/WORKING CONDITIONS: Standing/Walking/Mobility: Must have mobility to attend meetings remotely and in person. Climbing/Stooping/Kneeling: 0% - 10% of the time. Lifting/Pulling/Pushing: 0% - 10% of the time. Fingering/Grasping/Feeling: Must be able to write, type and use a telephone system 100% of the time. Sitting: Sitting for prolonged and extended periods of time. This job description reflects management’s assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned. Management may revise duties as necessary without updating this job description. For more information about the company, please visit our website: https://clarvos.com/ Clarvos is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as veteran, disability or any other federal, state or local protected class. Clarvos complies with federal and state disability laws and makes reasonable accommodation for applicants and employees with disabilities. If you require reasonable accommodation in completing the application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to hrsupport@Clarvos.com.

Troveo is the largest licensable video library for AI model training. We partner with thousands of content licensors—ranging from top-tier studios and production houses to leading YouTube creators—to supply video content to the world’s foremost research labs. Our mission is to rapidly deliver massive volumes of video content, to exact specifications, fueling next-generation generative and world-understanding AI models. Data Engineering is central to our success. Each week, we process petabytes of video data—quickly, cost-effectively, and with uncompromising quality. As a data engineer at Troveo, you’ll focus on: - Lowering costs and reducing turnaround times for processing content. - Enhancing and transforming video data for our customers, to make it easier to discover and more valuable. We are seeking a Principal or Senior Data Engineer with demonstrated expertise in Python and large-scale data management. Practical experience with AWS services (S3, EC2, etc.), search, and large databases is essential. Familiarity with video data is a plus, but not required. Responsibilities - Data Pipeline Development: Design, build, and maintain scalable, efficient data pipelines in Python. - AWS Ecosystem: Leverage services like S3 for data storage (including multiple tiers of storage) and EC2 for compute (currently running clusters of 50k G instances), retrieval, and processing in production environments. - Big Data Handling: Develop and optimize systems to handle petabyte-scale datasets with a focus on performance, reliability, and cost-effectiveness. - Metadata Generation: Leveraging self-hosted open source LLMs and managed APIs to generate reliable metadata to power discovery and enhance the value of the content we deliver. - Discovery: Building from the ground up search capabilities leveraging visual, semantic and taxonomic data to deliver the right content to our customers. - Monitoring & Reliability: Implement robust monitoring, alerting, and logging to ensure smooth data flow and quickly troubleshoot issues. - Collaboration: Work cross-functionally with data scientists, software engineers, and product teams to understand data needs and deliver optimized solutions. - Video Processing (Preferred): If applicable, process and manage video data for analytics, quality control, and other use cases. Required Qualifications - Python Proficiency: Strong coding skills in Python (including familiarity with libraries for data manipulation and analysis). - AWS Expertise: Hands-on experience using core AWS services (S3, EC2, possibly Lambda, EMR, or ECS). - Big Data Skills: Demonstrated ability to work with large-scale datasets (petabyte-level), ensuring high performance and scalability. - Database & Storage: Familiarity with large Postgres databases. - Automation & Scripting: Comfortable building CI/CD pipelines and automating repetitive tasks. Nice to Have - Video Processing: Experience handling or transforming video data (e.g., transcoding, extracting metadata, compiling FFMPEG). - Machine Learning Pipelines: Familiarity with ML and Computer Vision workflows or frameworks (OpenCV, TensorFlow, PyTorch, etc.). - Security Best Practices: Understanding of AWS IAM, encryption, and SOC II compliance standards. What We Offer - An opportunity to work with massive data sets and cutting-edge technologies in the cloud serving the biggest companies in tech building the next generation of AI models - A collaborative environment with a talented, diverse team of engineers and data experts. - Competitive compensation and benefits with room for career growth and professional development. - This job is remote/work from home with the option of meeting up from time to time if you are located in the SF Bay Area.

SMSI provides expert management consulting, program and project management, and technical consulting services to government and private sector clients. SMSI has grown and evolved by building an outstanding reputation for client-focused performance and for delivering results that enable clients to meet commitments and milestones.   . SMSI is an Equal Employment Opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Job Summary SMSI LLC is seeking a Solutions Data Architect to assist our client, Los Alamos National Laboratory (LANL). This position will be mostly remote, with occasional trips onsite in Los Alamos, NM as needed. Responsibilities Los Alamos National Laboratory has selected SAP for their next-generation Cloud ERP solution. In parallel, they will require a future state data strategy to take advantage of new tools and technology to help modernize their current on-prem operational data store. This work plays a critical role in supporting key institutional initiatives such as enabling real-time analytics, AI/ML capabilities, and enhanced operational efficiency. This role will be critical in transformation of their legacy data environment into a modern, cloud-native architecture. In concert with institutional knowledge experts and ERP implementation planner and integrators, you will define the data strategy, standards, and blueprints for migrating and integrating high-volume operational data into a new platform, ensuring data integrity, security, and accessibility across the enterprise. Job Requirements - •5+ years of progressive experience in data architecture, data modernization, and cloud-based data solutions. - Extensive experience implementing solutions with at least one or more of the following: Snowflake, Databricks, and/or SAP data platforms (S/4HANA, Datasphere, etc) - Proven experience as a senior data architect or equivalent, with demonstrated leadership on large-scale architecture projects. - Proven work experience in designing and implementing complex data architecture, with significant experience in data warehousing, and large-scale data modernization projects. - Strong understanding of major cloud platforms and their native data services. - Extensive data migration experience from on-prem to cloud systems and cloud to cloud. - Proven ability to work with cross-functional teams, including business analysts, ERP functional consultants, developers, and infrastructure teams. - Strong stakeholder management skills with a track record of presenting architecture decisions to executive leadership. - Experience with leading a team and providing technical direction to personnel for a wide variety of projects and initiatives. - Excellent verbal and written communication skills. - Candidate must have the ability to work with many team members across multiple disciplines. - US Citizenship is required. Preferred Qualifications - Master’s degree in Computer Science, Information Systems, or related technical discipline. - Experience with SAP BDC (Business Data Cloud), SAP BTP (Business Technology Platform), and Integration Suite. - Lead architectural decisions around data platforms (e.g. Snowflake, Databricks, Data Lakes, Data Lakehouses, ETL/ELT, streaming architecture). - Experience in designing and implementing a comprehensive data catalog to improve data discovery and governance. - Experience with big data technologies and machine learning concepts. - ERP certification or training (e.g., SAP Data Architect, Oracle ERP Cloud, Workday Integration). - Experience implementing or supporting data governance programs, especially in ERP environments. - Familiarity with data privacy regulations and compliance requirements relevant to ERP data (e.g., SOX, GDPR, HIPAA). - Active (or recent) Q clearance is a plus but not required. Education Requirements - Bachelor’s degree, preferably in computer science, engineering, information systems, or related discipline, along with 12 years of experience. Equivalent combination of education and experience will be considered. - Certifications are a plus.