Data engineer jobs in Riverside, CA - 907 jobs

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and support risk adjustment strategy within our Medicare Advantage line of business. This role focuses on enhancing risk score accuracy, CMS audit preparedness (RADV), and building AI-powered tools that improve clinical documentation review and integrity. You'll play a key role in advancing AVA, our proprietary clinical intelligence platform, by developing next-generation models that support autonomous chart review and NLP/GenAI-driven documentation analytics. This is a unique opportunity to work at the intersection of healthcare, compliance, and machine learning-transforming how we ensure both quality and regulatory alignment. Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are seeking a mission-driven Data Scientist to join our growing team and help develop predictive models and intelligent workflows that drive better member health outcomes, improve quality metrics, and enhance operational efficiency across our Medicare Advantage offerings. You'll work on a diverse portfolio of high-impact projects spanning clinical intelligence, quality improvement, payment integrity, and emerging AI/NLP solutions, all underpinned by our proprietary AVA technology platform. This is a unique opportunity to work at the intersection of healthcare, machine learning, and real-world impact, applying advanced analytics to solve complex problems that improve the quality of healthcare for our members. Job Duties/Responsibilities Collaborate with business stakeholders to understand complex healthcare and operational challenges, then design and implement analytical solutions that drive measurable outcomes Develop predictive models and workflows for AVA, our proprietary clinical intelligence platform, supporting autonomous chart review, clinical analytics, disease detection, and compliance forecasting Build and deploy scalable model pipelines that integrate NLP, random forests, gradient boosted algorithms, ensemble models, and data processing using Python, R, Databricks, MLFlow, and Unity Catalog Design and implement quality improvement models in partnership with our Quality team to enhance member health outcomes, improve Stars ratings, and support HEDIS reporting and forecasting initiatives Develop automated validation and quality assurance models for the Payment Integrity team to improve accuracy and reduce manual review burden Build AI / NLP / LLM solutions for document understanding, including the training of vision detection algos and development / deployment of OCR and NER pipelines that process medical charts at scale Collaborate with engineering teams to version, test, and deploy models using Git, CI/CD pipelines, GitHub, Azure, and cloud-based infrastructure Design algorithms to predict audit risk and detect documentation anomalies across cohorts and markets, supporting RADV audit preparedness and CMS compliance Partner cross-functionally with Pharmacy, Actuaries, Clinical, Data Engineering, and Software Engineering teams to ensure analytical outputs align with CMS guidance and regulatory requirements Support CMS Star Ratings strategy, including HEDIS, CAHPS, and HOS analysis and predictive modeling, and root cause analysis on rate movement through the measurement year Help standardize definitions, documentation logic, and reporting workflows at scale for enterprise-wide AI readiness and analytical capabilities Supervisory Responsibilities: N/A MINIMUM REQUIREMENTS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 2+ years of relevant experience in predictive modeling, machine learning, and data science Demonstrated ability to build end-to-end data science solutions with measurable real-world impact Education/Licensure: Preferred: MSc or PhD in Computer Science, Engineering, Mathematics, Statistics, or related field, OR equivalent professional experience Other: Strong programming proficiency in Python and/or R (primary focus for this role) Solid understanding of data structures, algorithms, and software engineering principles Demonstrated proficiency in SQL and relational databases Experience with Git and version control workflows Deep knowledge of machine learning algorithms, including deep neural networks, NLP, and LLMs Experience manipulating and analyzing complex, high-volume, high-dimensionality, and unstructured data from multiple sources Expertise in experimental design, statistical rigor (confidence intervals, significance testing, train/test/validation methodology) Strong data visualization and presentation skills; ability to translate complex analysis into actionable insights Excellent communication and collaborative problem-solving abilities Demonstrated ability to thrive in ambiguous, fast-paced environments while prioritizing effectively Strong analytical mindset with attention to detail and commitment to data quality Preferred Qualifications: Healthcare industry experience or familiarity with healthcare data challenges Hands-on experience with Databricks for distributed data processing and ML workflows Experience with MLFlow and Unity Catalog for model versioning and governance Experience with Azure, AWS, or other cloud ecosystems Familiarity with NoSQL databases Knowledge of CMS and Medicare Advantage operations Published work in academic conferences or industry circles Experience with containerized environments and CI/CD pipelines Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. ESSENTIAL PHYSICAL FUNCTIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Pay Range: $149,882.00 - $224,823.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

This is an exciting opportunity to apply data science techniques and drive growth and revenue of Green Dots Business, Enterprise-wide. Our data science team works on several projects across the entire company including Churn Modelling and Customer Scoring for Marketing efforts, Revenue Prediction Modeling for Accounting and Finance and Cash Advance Customer Modeling for our Award-Winning Tax Products. We are looking for candidates who are passionate about leveraging data science techniques to solve business problems and supplying stakeholders with actionable insights/decisions. The ideal candidate must be a self-starter who is able to deliver high quality work within tight deadlines and potentially propose/develop innovative solutions as well. The candidate will be reporting to the Lead Data Scientist within our Data Analytics department. Job Responsibilities Maintain and train existing business-critical models and support the Data Science team. Develop and implement data science/advanced analytics enabled solutions to drive business outcomes and goals. Own and deliver predictive modeling/analytics projects of small or moderate scope or manage tasks on complex data science projects. Define, write queries, and extract and transform data sets to create features for modeling and/or generate actionable insights using various tools (SQL Server, Python, R) Collaborate with other Data Scientists and Analytics teams across the Enterprise to help ensure a cohesive and strategic implementation of our data capabilities. Identify meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers. Collaborate with business stakeholders as per project needs and communicate results of the models/analytical solutions developed). Learn and grow in the role over time, utilizing the multitude of available resources (people and technologies) and become a strategic leader, helping to grow our Data Science capabilities. Perform other duties as needed.

Hello, Greetings from Jobsbridge! Jobsbridge, Inc. is a fast growing Silicon Valley based I.T staffing and professional services company specializing in Web, Cloud & Mobility staffing solutions. Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Job Description Minimum 8 years in the IT profession Minimum 3 years of hands on experience with Data Management using Big Data Technologies Minimum 5 years of experience creating DM / DW architectures Experience with various data intake, staging and integration methods and tools Experience delivering against long-term, strategic technology roadmaps Success leading multiple projects using the Agile methodology High accountability with a demonstrated ability to deliver Demonstrated ability to communicate clearly and concisely ideas (both verbally and in writing) to executives and technologists Relevant Bachelor's degree or equivalent experience Need to be strong in Hadoop Need to be strong technically Strong communication GC/CI Strong with Spark Qualifications Skill Hadoop, Bigdata, spark Additional Information All your information will be kept confidential according to EEO guidelines.

Experience in executing projects in Agile Framework Understanding of machine learning and deep learning frameworks Understanding of generative models (e.g., GANs, VAEs, Transformers) and natural language processing. Understanding of natural language processing (NLP). Understanding of data preprocessing and model fine-tuning. Awareness of ethical considerations and bias mitigation strategies. Proficiency in programming language Python / C# Strong analytical and problem-solving skills. Base Salary Range: $110,000 - $145,000 per annum TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SV2 #LI-KUMARAN

At Gatekeeper Systems, we're revolutionizing retail loss prevention and customer safety through a powerful combination of physical deterrents and cutting-edge technology-including AI, computer vision, and facial recognition. As a global leader with over 25 years of industry excellence and a growing, diverse team of 500 employees across offices in North America, Europe, Australia, and Asia, we're driven by innovation, integrity, and impact. Join us and be part of a mission-focused team that's making a real difference in the future of retail, providing innovative solutions and services that redefine industry standards. POSITION SUMMARY: WHAT WE OFFER… Join the team at Gatekeeper Systems and watch your career grow! We offer competitive compensation and benefits packages that include: Attractive Total Compensation Package, including annual bonus Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options. 401(k) Plan with Employer Match Generous Paid Time Off (PTO) policy Observance of 11 paid company holidays Various Employee Engagement Events Exciting Growth Opportunities Positive Company Culture This role bridges the gap between core data engineering and practical machine learning applications. Primarily, you will be a data platform engineer responsible for owning core data pipelines, data models, and quality controls that power Gatekeeper analytics and future data products. Secondarily, you will drive the production lifecycle of our shopping cart computer-vision feature. You will orchestrate the data workflows that interface with our Machine Learned models to ensure accurate cart classification, while leveraging the FaceFirst ML team for deeper capacity. You will collaborate with BI Analysts, software engineers, and product teams to transform raw data into actionable insights. ESSENTIAL JOB FUNCTIONS; but not limited to: Data Platform, Pipelines, & Quality (Primary Focus) Pipeline Design & Operation: Design, build, and operate scalable ELT/ETL pipelines that ingest data from IoT/smart-cart telemetry, video events, operational systems, and external partners into our cloud data lake/warehouse. Infrastructure Management: Build and maintain robust data infrastructure, including databases (SQL and NoSQL), data warehouses, and data integration solutions. Data Modeling: Establish canonical data models and definitions (schemas, event taxonomy, metrics) so teams can trust and reuse the same data across products, BI, and analytics. Data Quality Assurance: Own data quality end-to-end by implementing validation rules, automated tests, anomaly detection, and monitoring/alerting to prevent and quickly detect regressions. Consistency & Governance: Drive data consistency improvements across systems (naming, identifiers, timestamps, joins, deduplication) and document data contract expectations with producing teams. Root Cause Analysis: Troubleshoot pipeline and data issues, perform root-cause analysis, and implement durable fixes that improve reliability and reduce operational load. Collaboration & Analytics: Partner with BI Analysts and Product teams to create curated datasets and self-serve analytics foundations (e.g., marts/semantic layer), as well as support internally facing dashboards to communicate system health. Applied ML Ownership - Smart Exit Cart-Empty Classifier (Secondary Focus) Lifecycle Management: Own the production lifecycle for the cart classification capability, including data collection/labeling workflows, evaluation, threshold tuning, and safe release/rollback processes. Pipeline Implementation: Implement and optimize machine learning pipelines, from feature engineering and model training to deployment and monitoring in production. Evaluation & Monitoring: Build and maintain an evaluation harness (offline metrics + repeatable test sets) and ongoing monitoring (accuracy drift, data drift, false positive/negative analysis). Cross-Team Collaboration: Collaborate with the FaceFirst ML team to incorporate improvements (model updates, feature changes) while keeping Gatekeeper's production integration stable. Integration: Work with software engineers to ensure the classifier integrates cleanly into the product workflow with robust telemetry, logging, and operational runbooks. QUALIFICATION REQUIREMENTS The requirements listed below are representative of the knowledge, skill and/or ability required. Exemplifies professionalism in all aspects of day-to-day duties and responsibilities. Self-aware and open to learning about personal effectiveness in the workplace. Exhibits a positive attitude toward the vision, policies, and goals of Gatekeeper Systems. Constantly strives to improve performance and effectiveness of the team and the company. EDUCATION AND/OR EXPERIENCE Work Experience: 5+ years Core Engineering: Strong experience building and operating production ELT/ETL pipelines and data warehouses. Programming: Fluency in SQL and Python (or similar) for data transformation, validation, and automation. Cloud Platforms: Experience with cloud data platforms (Azure and/or GCP), including object storage, security/access controls, and cost-aware design. Tooling: Hands-on experience with orchestration and transformation tooling (e.g., Airflow/Prefect) and batch processing frameworks (e.g., Spark/Databricks). Quality Practices: Practical experience implementing data quality practices (tests, monitoring/alerting, lineage/documentation) and improving data consistency across systems. Operations: Collaborate with operational teams to identify, diagnose, and remediate in-field system issues. Bachelor's Degree in Computer Science, Software Engineering, Information Systems, Mathematics, Statistics, or a related technical field. SALARY RANGE $150,000 to $175,000; 5% AIP PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Repetitive motions and routine use of standard office equipment such as computers, telephones, copiers/scanners and filing cabinets. Ability to see, speak, walk, hear, stand, use of hand/fingers to handle or feel; climb stairs, stoop, carry/lifting up to 50 lbs. Ability to sit at a desk. Specific vision abilities required include close vision, color vision, peripheral visions, depth perception and the ability to adjust focus. Regularly utilizes manual dexterity to put parts or pieces together quickly and accurately. DISCLAIMER This Job Description is a general overview of the requirements for the position. It is not designed to contain, nor should it be interpreted as being all inclusive of every task which may be assigned or required. It is subject to change, in alignment with company/department needs and priorities. Gatekeeper Systems, Inc., is an equal opportunity employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. We value diversity and believe that we are strengthened by the differences in our experiences, thinking, culture, and background. We strongly encourage applications from candidates who demonstrate that they can contribute to this goal. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any protected basis.

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. Unlock the Power of Data at Pacific Life. We're seeking talented Lead Data Engineer to join our Pacific Life Investments Data Team onsite in Newport Beach, CA. We are looking for self-starters to help shape the future of data engineering and drive data-driven success. As a Lead Data Engineer you'll move Pacific Life, and your career, forward by accelerating our data initiatives by bringing modern technical solutioning forward. You will fill a new role that sits on the Investments data team in the technology organization. Your colleagues will include scrum masters and data analyst and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. How you'll help move us forward: * Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions. * Help build scalable products with robust security, quality and governance protocols. * Create low-level design artifacts, including mapping specifications. * Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources using SQL, AWS, Snowflake, and data integration technologies. * Create unit/integration tests and implement automated build and deployment. * Participate in code reviews to ensure standards and best practices. * Deploy, monitor, and maintain production systems. * Use the Agile Framework to organize, manage and execute work. * Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working. The experience you bring: * Bachelor's degree in Computer Science, Data Science or Statistics * 7+ years of experience in analysis, design, development, and delivery of data * 7+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools * Understanding of data engineering best practices and data integration patterns * 2+ years of experience with DevOps and CI/CD * 1+ years of experience (not just POC) in using Git and Python * Agile Scrum work experience * Effective communication & facilitation; both verbal and written * Team-Oriented: Collaborating effectively with team and stakeholders * Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions What makes you stand out: * Investments or FINTECH domain knowledge preferred * Strong Data analysis skills and /or data mining experience * Experience with one or more Integration tools (Matillion, Informatica, SQL SSIS, DBT) * Experience with Snowflake and DBT * Works independently with minimal guidance. You can be who you are. We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife #LI-DW1 Benefits start Day 1. Your wellbeing is important. We're committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. * Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents * Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off * Paid Parental Leave as well as an Adoption Assistance Program * Competitive 401k savings plan with company match and an additional contribution regardless of participation. Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $148,230.00 - $181,170.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. * Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents * Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off * Paid Parental Leave as well as an Adoption Assistance Program * Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Arrowhead Pharmaceuticals, Inc. (Nasdaq: ARWR) is a clinical stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein. Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing. Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics. Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates. Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI. Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need. The Position We are seeking a highly motivated and skilled Data Engineer to join our Research Informatics team within R&D. The successful candidate will play a key role in supporting Translational Genetics, Computational Chemistry, and AI/ML-driven discovery with software, AI tools, data requests, and building data infrastructure and pipelines that support immediate and longer term needs. This role will actively support Arrowhead's AI-enabled discovery initiatives by enabling high-quality, well-governed datasets for machine learning and advanced analytics. Responsibilities include preparing data for AI/ML workflows, supporting model training environments, and evaluating AI-powered tools (including LLM-based systems) to accelerate research insights, automation, and decision-making across R&D. The successful candidate will understand data and software needs for R&D teams, identify and access process gaps and opportunities to speed up research and optimize research results. This role also contributes to evaluating and deploying AI-enabled tools that enhance scientific productivity and insight. The best candidate will also design and implement robust data pipelines and architectures that integrate experimental and computational data across the research organization. A strong background in scientific informatics platforms (e.g., LIMS/ELN such as Benchling) and a passion for FAIR data principles are essential. Responsibilities Support R&D teams with their day-to-day software, AI tools and data integration needs. Evaluate, prototype, and adopt emerging technologies that advance data engineering, scientific AI, and research informatics capabilities. Partner closely with Discovery Chemistry and Biology teams to ensure seamless data flow between experimental, analytical, and predictive workflows. Develop and standardize data models and architectures to support research data management, metadata, and governance. Build and manage integrations across scientific informatics platforms, including ELN, CDS, and analytical systems, to unify experimental and computational datasets. Design, develop, and maintain scalable, reliable data pipelines to support R&D data integration, processing, visualization, and advanced analytics. Influence architectural decisions that optimize data accessibility for AI development, analytics, and visualization tools. Contribute to the vision, strategy, and roadmap for R&D data engineering, architecture, and data governance. Requirements Bachelor's or Master's degree in Computer Science, Data Engineering, Bioinformatics, or a related field. 4+ years of professional experience in data engineering or data science, preferably within biotech, pharmaceutical, or scientific research environments. Familiarity with data modeling, metadata management, data lineage, and data governance best practices. Strong proficiency in Python, SQL, Git, and modern data engineering practices. Experience with AI/ML frameworks and tooling (e.g., PyTorch, LangChain, or custom ML/AI pipelines). Hands-on experience designing ETL/ELT workflows and managing both structured and unstructured data. Preferred Experience supporting AI/ML workflows, including data preparation, curation pipelines, and model training environments. Understanding of scientific data domains such as omics, assays, screening, or chemical data. Advanced skills in data analysis, exploration, and visualization tools. California pay range $130,000-$165,000 USD Arrowhead provides competitive salaries and an excellent benefit package. All applicants must have authorization to work in the US for a company. California Applicant Privacy Policy

This job is onsite, based in Irvine CA. Essential Duties and Responsibilities Develop and maintain SQL Server and Snowflake Data Warehouses and Data Lakes with a focus on data governance, security, and performance optimization. Manage and optimize database solutions within Snowflake, SQL Server, MySQL, and AWS RDS environments. Build and optimize ETL pipeline processes using Snowpipe, DBT, Boomi, SSIS and/or Azure Data Factory. Proficiency in Data Tools such as SSMS, Profiler, Query Store, Redgate, etc. Perform light operational tasks, including database backup & restore. Collaborate and support organizational data development projects, working closely with the Business Intelligence and Business Analysts Teams. Help ensure and maintain database security, integrity, and compliance following the industry's best practices. Configure and manage data integration platforms and business intelligence tools, ideally including Power BI, Tableau, Power Automate, and scripting languages like Python or R. Qualifications 7+ years of hands-on experience working as Microsoft SQL Server Developer or Administrator, with hands-on experience developing relational and object-oriented databases. 2+ years of hands-on experience working with Snowflake data warehouses and data lake environments. Proven mastery of Microsoft SQL Server, including t-SQL. Hands-on experience developing databases, pipelines, and reporting solutions using BI Reporting & ETL tools such as Power BI, SSRS, SSIS, Azure Data Factory, DBT and other similar industry tool sets. Proficiency with scripting and automation, including Python, PowerShell; or R. Experience with, and knowledge of, data integration and analytic tools such as Boomi, Redshift, or Databricks is desirable. Excellent communication and organizational skills. Education and/or Experience Bachelor or Master's Degree in Computer Science, Information Systems, Data Sciences, or equivalent experience. Language Skills Ability to read and comprehend simple instructions, short correspondence, and memos. Ability to write simple correspondence. Ability to effectively present information in one-on-one and small group situations to customers, clients, and other employees of the organization. Mathematical Skills Ability to add, subtract, multiply, and divide in all units of measure, using whole numbers, common fractions, and decimals. Ability to compute rate, ratio, and percentage and to draw and interpret bar graphs. Reasoning Ability Ability to apply common sense understanding to carry out detailed instructions. Ability to deal with problems involving a few concrete variables in standardized situations. Computer Skills Advanced knowledge of Microsoft Office applications (Word, Excel, Outlook, etc). Physical Demands The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this Job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms and talk or hear. Employees are frequently required to walk and sit. The employee is occasionally required to stand. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Always practice good judgment and refer to the safety guidelines. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Always practice good judgment and refer to the safety guidelines. The noise level in the work environment is usually moderate Salary: $125K-$135k Benefits Our benefit offerings include: Medical, dental, vision, wellness programs, EAP counseling services, FSA & HSA, company sponsored life insurance for employee, voluntary life insurance for employee, spouse and child, AD&D Insurance, voluntary short-term and long-term disability, critical illness insurance, accident insurance, legal assistance, pet insurance, living will and trust preparation discounts, commuter program, annual walking challenge, employee appreciation events and monthly sales awards. At Acra Lending, we were founded with a clear purpose: to specialize in alternative income loan products that help borrowers qualify for our flexible loan programs. We operate in 39 States, out of nine offices in Arizona, California, Florida, Georgia, Hawaii, Missouri, Nevada, Texas, and Utah along with a growing team of remote professionals across the country. Throughout the mortgage industry, Acra Lending is widely known for responsible lending practices, product innovation and operational efficiency. The foundation of our Company is built on helping our customers by providing Non-QM mortgage solutions for today's borrower in residential and commercial properties across America. Our Leadership team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life. We reward our employees with a competitive salary and a variety of benefits to help our team members reach their health, retirement, and professional goals along with an exceptional 401k match program. We look forward to meeting you!

Easterseals is leading the way to full equity, inclusion and access through life-changing disability and community services. For more than 100 years, we have worked tirelessly with our partners to enhance quality of life and expand local access to healthcare, education and employment opportunities. Easterseals Southern California provides essential services and on-the-ground supports to more than 15,000 people each year-from early childhood programs for the critical first five years, to autism services, daily and independent living services for adults, employment programs, veterans' services and more. Our public education, policy and advocacy initiatives positively shape perceptions and address the urgent and evolving needs of the one in four Americans with disabilities today. Together, we're empowering people with disabilities, families and communities to be full and equal participants in society. Join us as we seek to be the most inclusive place for people with disabilities to live, learn, work & play easterseals.com/southerncal Hiring Salary Range: $87k - $110k /yr. #LI-SS1 OVERVIEW OF POSITION: Responsible for designing, implementing, and maintaining database architectures that support business applications and processes. Responsible for data ingestion, ETL processes, database security, and performance optimization within the Enterprise Data Warehouse (EDW). Ensures compliance with data governance policies, backup and recovery protocols, and industry regulations. Collaborates with stakeholders to provide insights, manage projects, and support data-driven decision-making. With expertise in database management and security, plays a key role in maintaining system integrity, anticipating capacity needs, and ensuring seamless database operations. ESSENTIAL FUNCTIONS: Designs, implements, and maintains database schemas that support our applications and business processes. Manages data ingestion and ETL/ELT processes for all data related to the Enterprise Data Warehouse (EDW). Ensures backup and recovery procedures are documented, reviewed against IT security, infrastructure and compliance standards and tested. Serves as the primary Major Incident Management (MIM) resource for the EDW. Monitors EDW users and conducts audits as requested. Collaborates with IT Security and Compliance to ensure proper data governance guidelines are followed. Monitors and optimizes database performance to ensure optimal query execution and system efficiency. Implements and maintains security measures to protect sensitive data from unauthorized access or breaches. Develops and implements backup and recovery plans to ensure the integrity and availability of our data. Plans and execute database upgrades and patching to ensure that our database systems are up to date and secure. Diagnoses and resolves database-related issues in a timely manner to minimize downtime and ensure the reliability of our systems. Leads technical sessions and projects, representing the EDW team in managing the Microsoft Fabric environment. Maintains accurate documentation of database configurations, processes, and procedures. Preferred experience in DevOps or similar. Analyzes data usage trends to forecast capacity needs and support scalability planning. Serves as a key EDW resource, collaborating with development and IT teams to provide insights and recommendations. Ensures that our databases comply with relevant regulations and standards, such as GDPR, HIPAA, or PCI DSS. Collaborates with data scientists and analysts to support advanced analytics and data-driven decision-making. Develops and maintains data models and metadata to ensure data consistency and quality. Provides training and support to other team members on database management and best practices and new implementations. Performs other duties as assigned. EDUCATION: Bachelor's degree in computer science, information technology, or related field or commensurate experience or equivalent work experience. Certification in database administration desired (e.g., Oracle Certified Professional, Microsoft Certified: Azure Database Administrator Associate). EXPERIENCE: Proven experience with Microsoft ecosystem. 3 - 5 years of experience as a Database Administrator and cloud architecture (e.g., Databricks, Snowflake, AWS, Google, etc.) or in a similar role. Experience with Spark, PySpark, and KQL, Notebooks and Lakehouses preferred. Proficiency in managing relational database management systems (RDBMS) such as T-SQL, MySQL, PostgreSQL, or Oracle. Strong SQL skills and the ability to write and optimize complex SQL queries. Experience with database performance tuning and optimization techniques. Knowledge of database security best practices and experience implementing security measures such as encryption, access controls, and auditing. Experience with Microsoft Purview preferred. Preferred experience includes DevOps or similar environments. KNOWLEDGE, SKILLS, ABILITIES: Demonstrated proficiency with MS Office applications (Word, Excel, Outlook). Ability to maintain customer service orientation and professionalism in all interactions. Ability to translate technical concepts into business-friendly language for non-technical stakeholders. Effective communicator with cross-functional teams including IT, compliance, and analytics. Ability to mentor and train team members on database management best practices and new implementations. Ability to mentor and train team members on database management best practices and new implementations. Ability to exercise independent judgment, exercise discretion and maintain a high level of confidentiality with sensitive documentation and/or situations. Ability to obtain and maintain a criminal record/fingerprint clearance from the Department of Justice and Federal Bureau of Investigation per Easterseals Southern California and/or program requirements. PHYSICAL REQUIREMENTS IN ACCORDANCE WITH ADA: Carrying/Lifting: Occasional / Up to 30 lbs. Standing: Occasional / Up to 3 hours per day. Sitting: Constant / Up to 8 hours per day. Walking: Occasional / Up to 3 hours per day. Travel: 0-20%. Repetitive Motion/Activity: Keyboard activity, telephone use, writing. The position requires occasional standing, bending, reaching, stooping, squatting, kneeling, grasping, lifting and twisting. Visual Acuity: Ability to view computer monitor and read newsprint. Environmental Exposure: None.

Are you passionate about changing the world through machine learning and location intelligence? Join Esri as we leverage the IoT revolution and explosive growth of location data to help organizations extract advanced intelligence, predict significant events, and automate work processes using AI and machine learning. We're seeking a Data Scientist II who combines technical expertise with strong interpersonal skills to collaborate directly with customers, understand their unique challenges, and develop data-driven solutions that integrate seamlessly with GIS workflows. While prior GIS experience is not required, you'll work closely with GIS experts and gain valuable knowledge in spatial data analytics. We serve customers across diverse domains including natural resources, defense, commercial industries, public transportation, utilities, and governmental entities in over 160+ countries. Responsibilities Consult closely with customers to understand their needs and serve as Esri's sole representative Scope projects, communicate uncertainties and risks, and accurately estimate delivery times Develop and pitch data science solutions that map business problems to advanced analytics approaches Serve as a subject matter expert for internal stakeholders Write production-level code for data analysis and process automation Build high-quality analytics systems employing techniques from data mining, statistics, and machine learning Perform feature engineering, model selection, and hyperparameter optimization to achieve high predictive accuracy Deploy models to production environments and assist customers in troubleshooting implementations Implement best practices for geospatial machine learning and develop reusable technical components for demonstrations and rapid prototyping Design and implement generative AI solutions and agentic systems to enhance customer workflows and automate complex geospatial tasks Stay updated with the latest trends in machine learning, deep learning, and AI, and incorporate them into project delivery Quickly become proficient in unfamiliar fields to address diverse customer needs Requirements 2+ years of practical machine learning experience or relevant academic/lab work Hands-on relevant experience in generative AI, large language models, and agentic systems Exemplify tenacity, determination, creativity, curiosity, and independence in problem-solving Ability to learn new concepts quickly and implement new technologies rapidly Flexibility to adapt to diverse customer solutions in a rapidly evolving technical landscape Experience working with non-technical stakeholders in multiple domains Proficiency in building and optimizing supervised and unsupervised machine learning models, including deep learning techniques Fundamental understanding of mathematical and machine learning concepts Applied statistics experience Expertise in developing machine learning solutions, preferably in Python Proficiency in data extraction, transformation, and loading between various systems Ability to produce compelling data visualizations to convey results Strong communication skills, including the ability to explain technical concepts to non-technical audiences Capability to manage multiple projects simultaneously Bachelor's degree in mathematics, statistics, computer science, physics, or a related field Recommended Qualifications Master's degree or PhD in mathematics, statistics, computer science, physics, or a related field Experience with spatial and GIS concepts, preferably using Esri software Familiarity with Git, ML libraries such as PyTorch and TensorFlow, and transformers-based large language models (LLMs) Experience handling large-scale batch/streaming data with big data tools like Apache Spark Experience with cloud services (AWS, Azure, and more) #LI-MN1

About the Hiring TeamWelcome to Lightspeed LA, the first U.S.-based, AAA game development studio for Tencent Games. Lightspeed LA is focused on building open-world games that emphasize an ambitious living world, sophisticated player-driven gameplay, and mature, thoughtful storytelling. We are developing the first in a series of genre-defining titles. Why join Lightspeed LA? For us, it's not only about the exciting, new AAA open world game we're developing but also about team values and studio culture. We foster an open and transparent environment where everyone feels comfortable providing constructive feedback about all aspects of our games. ● We encourage the showing of work that's still in progress. ● We don't attack or question unfinished work, we celebrate its promise. ● We have a No Blame Culture where we blame the problem, not the person. This is a safe place to fail, and we don't view failure as a negative, but as the natural result of pushing boundaries and trying new things. We create together. We face Challenges Together. We succeed together.What the Role Entails Work with and lead a gameplay engineering team to craft development of innovative gameplay content systems and experiences Work with design and production and engineering leadership to manage the gameplay schedule and backlog Implement, debug and optimize gameplay systems in C/C++ and other languages Author lean, high-performance, maintainable code Cultivate strong cross-disciplinary working relationships based on honesty and transparency among various departments within the studio Leadership and Management: Provide technical leadership across multiple gameplay systems and features Mentor, develop, and learn from engineering colleagues Be a leadership resource for engineers across the entire gameplay team Help build and maintain an open and energetic team culture Conduct regular one-on-one meetings with team members to provide guidance, feedback, and support their professional development Participate in the recruitment and onboarding of new team members, ensuring a diverse and skilled team that aligns with project requirements Facilitate team-building activities to promote a positive and collaborative working environment Who We Look For Experience working in Unreal Engine Passion and enthusiasm for creating fun and engaging gameplay through iteration and innovation Experience bringing multiple large-scale game titles to completion on PC and consoles 7+ years of professional game programming experience Experience managing direct reports Experience performing in a senior or principal software engineering role or equivalent Ability to collaborate with other engineers, designers, artists and other game developers Ability to work well in a fluid, changing environment as creative challenges evolve Deep knowledge of gameplay systems involving AI, animation, physics, and character-related systems from engine to game Expert in C++, debugging, and 3D mathematics Enjoy working closely with creative and technical team members Value lean, simple, efficient, well-tested code Strong written and verbal communication skills Preferred: Experience with game console hardware Understanding of game asset pipelines Why Join Us? Location State(s) US-California-IrvineThe expected base pay range for this position in the location(s) listed above is $116,200.00 to $343,600.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Luxoft is looking for a Senior Data Engineer for development of new application to be used by investors and investment committees to review their portfolio data, tailored to specific user groups. Responsibilities: • Work with complex data structures and provide innovative ways to a solution for complex data delivery requirements • Evaluate new and alternative data sources and new integration techniques • Contribute to data models and designs for the data warehouse • Establish standards for documentation and ensure your team adheres to those standards • Influence and develop a thorough understanding of standards and best practices used by your team Mandatory Skills Description: • Seasoned data engineer who has hands-on experience in AWS to conduct end-to-end data analysis and data pipeline build-out using Python, Glue, S3, Airflow, DBT, Redshift, RDS, etc. • Extensive Python API design experience, preferably Fast API • Strong SQL knowledge Nice-to-Have Skills Description: - Pyspark - Databricks - ETL design

Alignment Health is breaking the mold in conventional health care, committed to serving seniors and those who need it most: the chronically ill and frail. It takes an entire team of passionate and caring people, united in our mission to put the senior first. We have built a team of talented and experienced people who are passionate about transforming the lives of the seniors we serve. In this fast-growing company, you will find ample room for growth and innovation alongside the Alignment Health community. Working at Alignment Health provides an opportunity to do work that really matters, not only changing lives but saving them. Together. Alignment Healthcare is a data and technology driven healthcare company focused on partnering with health systems, health plans and provider groups to provide care delivery that is preventive, convenient, coordinated, and that results in improved clinical outcomes for seniors. We are experiencing rapid growth (backed by top private equity firms), our Data Services and BI team is looking for the best and brightest Sr. Data Engineer. Data drives the way we make decisions. We love our customers and understanding them better makes it possible to provide the best clinical outcome and care experience. We are currently seeking a Sr. Data Engineer for Data & Business Intelligence team. This position will play a key role in design and development of cloud-based BI and Analytics services using Microsoft BI Platform, Microsoft Azure cloud services. General Duties/Responsibilities (May include but are not limited to): Translate business requirements into specifications that will be used to implement the required reports and dashboards. Work with business units to gather requirements, development and delivery of business intelligence & reporting services and lead end to end Data delivery. Develops and implements business intelligence & analytics to support organizational initiatives. Build rich and dynamic dashboards using out-of-box features, customizations, and visualizations. Design and publish custom dashboards for business functions, stakeholders, and corporate users around the company. Design, model, develop & optimize stored procedures to meet data management and data reporting objectives. Design and model data flows and ETL procedures ensuring data quality and integrity. Troubleshoot and resolve issues with the processes used and the content produced by the BI platform. Provide ongoing maintenance support through troubleshooting, report modifications and optimization. Supervisory Responsibilities: N/A Minimum Requirements: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Minimum Experience: 5+ years of professional experience in Data Engineering / ETL development & Reporting services. 5+ years of experience with BI/Reporting software products (MSBI) and knowledge of Healthcare Industry standards and requirements. 5+ years of database experience with MS SQL Server. Write efficient Azure SQL queries and stored procedures for high-performance data processing. 5+ years of experience in healthcare industry with proven understanding of data terminology. Healthcare Experience and Clear understanding & working knowledge of HIPAA protocols. Extensive hands-on experience with Microsoft's Power-BI/SSRS/Azure Data Factory (ADF)and other cloud-based BI and Reporting services. Extensive experience in Advance Analytics tools like -Azure ML, CRAN R Library, Azure Functions, Azure Cognitive Services. o Extensive hands-on experience with Big Data platforms (Databricks, Spark, Hadoop, Python or similar) to process and transform large datasets is a plus. o Experience with Azure, AWS or GCP is a plus. Experience with DevOps pipelines and CI/CD. Education/Licensure: BS in Computer Science, IT or equivalent and/or equivalent experience. o Microsoft Azure Certification is a plus. Other: Demonstrated ability to build partnerships and maintain cohesive relationships. Demonstrated ability planning, organizing, and executing multiple complex analytics projects. Ability to effectively present information and respond to questions from groups of managers and customers. Excellent human relations and verbal/written communication skills. Clear understanding & working knowledge of HIPAA protocols. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. Essential Physical Functions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee regularly is required to stand, walk, sit, use hand to finger, handle or feel objects, tools, or controls; and reach with hands and arms. The employee frequently lifts and/or moves up to 10 pounds. Specific vision abilities required by this job include close vision and the ability to adjust focus. Alignment Healthcare, LLC is proud to practice Equal Employment Opportunity and Affirmative Action. We are looking for diversity in qualified candidates for employment: Minority/Female/Disable/Protected Veteran. If you require any reasonable accommodation under the Americans with Disabilities Act (ADA) in completing the online application, interviewing, completing any pre-employment testing or otherwise participating in the employee selection process, please contact ****************** . Pay Range: $130,332.00 - $195,498.00 Pay range may be based on a number of factors including market location, education, responsibilities, experience, etc. Alignment Health is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age, protected veteran status, gender identity, or sexual orientation. *DISCLAIMER: Please beware of recruitment phishing scams affecting Alignment Health and other employers where individuals receive fraudulent employment-related offers in exchange for money or other sensitive personal information. Please be advised that Alignment Health and its subsidiaries will never ask you for a credit card, send you a check, or ask you for any type of payment as part of consideration for employment with our company. If you feel that you have been the victim of a scam such as this, please report the incident to the Federal Trade Commission at ******************************* If you would like to verify the legitimacy of an email sent by or on behalf of Alignment Health's talent acquisition team, please email ******************.

This is an exciting opportunity to apply data science techniques and drive growth and revenue of Green Dots Business, Enterprise-wide. Our data science team works on several projects across the entire company including Churn Modelling and Customer Scoring for Marketing efforts, Revenue Prediction Modeling for Accounting and Finance and Cash Advance Customer Modeling for our Award-Winning Tax Products. We are looking for candidates who are passionate about leveraging data science techniques to solve business problems and supplying stakeholders with actionable insights/decisions. The ideal candidate must be a self-starter who is able to deliver high quality work within tight deadlines and potentially propose/develop innovative solutions as well. The candidate will be reporting to the Lead Data Scientist within our Data Analytics department. Job Responsibilities Maintain and train existing business-critical models and support the Data Science team. Develop and implement data science/advanced analytics enabled solutions to drive business outcomes and goals. Own and deliver predictive modeling/analytics projects of small or moderate scope or manage tasks on complex data science projects. Define, write queries, and extract and transform data sets to create features for modeling and/or generate actionable insights using various tools (SQL Server, Python, R) Collaborate with other Data Scientists and Analytics teams across the Enterprise to help ensure a cohesive and strategic implementation of our data capabilities. Identify meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to product, service, and business managers. Collaborate with business stakeholders as per project needs and communicate results of the models/analytical solutions developed). Learn and grow in the role over time, utilizing the multitude of available resources (people and technologies) and become a strategic leader, helping to grow our Data Science capabilities. Perform other duties as needed.

Hello, Greetings from Jobsbridge! Jobsbridge, Inc. is a fast growing Silicon Valley based I.T staffing and professional services company specializing in Web, Cloud & Mobility staffing solutions. Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers/architects, we have them all. Job Description Minimum 10 years in the IT profession Minimum 3 years of hands on experience with Data Management using Big Data Technologies Minimum 5 years of experience creating DM / DW architectures Experience with various data intake, staging and integration methods and tools Experience delivering against long-term, strategic technology roadmaps Success leading multiple projects using the Agile methodology High accountability with a demonstrated ability to deliver Demonstrated ability to communicate clearly and concisely ideas (both verbally and in writing) to executives and technologists Relevant Bachelor's degree or equivalent experience Need to be strong in Hadoop Need to be strong technically Strong communication GC/CI Strong with Spark Qualifications Hadoop, Bigdata, spark. Additional Information Only GC/Citizen,OPT,EAD,H4

At Gatekeeper Systems, we're revolutionizing retail loss prevention and customer safety through a powerful combination of physical deterrents and cutting-edge technology-including AI, computer vision, and facial recognition. As a global leader with over 25 years of industry excellence and a growing, diverse team of 500 employees across offices in North America, Europe, Australia, and Asia, we're driven by innovation, integrity, and impact. Join us and be part of a mission-focused team that's making a real difference in the future of retail, providing innovative solutions and services that redefine industry standards. POSITION SUMMARY: WHAT WE OFFER… Join the team at Gatekeeper Systems and watch your career grow! We offer competitive compensation and benefits packages that include: Attractive Total Compensation Package, including annual bonus Comprehensive healthcare benefits including medical, dental, and vision coverage; Life/ADD/LTD insurance; FSA/HSA options. 401(k) Plan with Employer Match Generous Paid Time Off (PTO) policy Observance of 11 paid company holidays Various Employee Engagement Events Exciting Growth Opportunities Positive Company Culture This role bridges the gap between core data engineering and practical machine learning applications. Primarily, you will be a data platform engineer responsible for owning core data pipelines, data models, and quality controls that power Gatekeeper analytics and future data products. Secondarily, you will drive the production lifecycle of our shopping cart computer-vision feature. You will orchestrate the data workflows that interface with our Machine Learned models to ensure accurate cart classification, while leveraging the FaceFirst ML team for deeper capacity. You will collaborate with BI Analysts, software engineers, and product teams to transform raw data into actionable insights. ESSENTIAL JOB FUNCTIONS; but not limited to: Data Platform, Pipelines, & Quality (Primary Focus) Pipeline Design & Operation: Design, build, and operate scalable ELT/ETL pipelines that ingest data from IoT/smart-cart telemetry, video events, operational systems, and external partners into our cloud data lake/warehouse. Infrastructure Management: Build and maintain robust data infrastructure, including databases (SQL and NoSQL), data warehouses, and data integration solutions. Data Modeling: Establish canonical data models and definitions (schemas, event taxonomy, metrics) so teams can trust and reuse the same data across products, BI, and analytics. Data Quality Assurance: Own data quality end-to-end by implementing validation rules, automated tests, anomaly detection, and monitoring/alerting to prevent and quickly detect regressions. Consistency & Governance: Drive data consistency improvements across systems (naming, identifiers, timestamps, joins, deduplication) and document data contract expectations with producing teams. Root Cause Analysis: Troubleshoot pipeline and data issues, perform root-cause analysis, and implement durable fixes that improve reliability and reduce operational load. Collaboration & Analytics: Partner with BI Analysts and Product teams to create curated datasets and self-serve analytics foundations (e.g., marts/semantic layer), as well as support internally facing dashboards to communicate system health. Applied ML Ownership - Smart Exit Cart-Empty Classifier (Secondary Focus) Lifecycle Management: Own the production lifecycle for the cart classification capability, including data collection/labeling workflows, evaluation, threshold tuning, and safe release/rollback processes. Pipeline Implementation: Implement and optimize machine learning pipelines, from feature engineering and model training to deployment and monitoring in production. Evaluation & Monitoring: Build and maintain an evaluation harness (offline metrics + repeatable test sets) and ongoing monitoring (accuracy drift, data drift, false positive/negative analysis). Cross-Team Collaboration: Collaborate with the FaceFirst ML team to incorporate improvements (model updates, feature changes) while keeping Gatekeeper's production integration stable. Integration: Work with software engineers to ensure the classifier integrates cleanly into the product workflow with robust telemetry, logging, and operational runbooks. QUALIFICATION REQUIREMENTS The requirements listed below are representative of the knowledge, skill and/or ability required. Exemplifies professionalism in all aspects of day-to-day duties and responsibilities. Self-aware and open to learning about personal effectiveness in the workplace. Exhibits a positive attitude toward the vision, policies, and goals of Gatekeeper Systems. Constantly strives to improve performance and effectiveness of the team and the company. EDUCATION AND/OR EXPERIENCE Work Experience: 5+ years Core Engineering: Strong experience building and operating production ELT/ETL pipelines and data warehouses. Programming: Fluency in SQL and Python (or similar) for data transformation, validation, and automation. Cloud Platforms: Experience with cloud data platforms (Azure and/or GCP), including object storage, security/access controls, and cost-aware design. Tooling: Hands-on experience with orchestration and transformation tooling (e.g., Airflow/Prefect) and batch processing frameworks (e.g., Spark/Databricks). Quality Practices: Practical experience implementing data quality practices (tests, monitoring/alerting, lineage/documentation) and improving data consistency across systems. Operations: Collaborate with operational teams to identify, diagnose, and remediate in-field system issues. Bachelor's Degree in Computer Science, Software Engineering, Information Systems, Mathematics, Statistics, or a related technical field. SALARY RANGE $150,000 to $175,000; 5% AIP PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by a team member to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Repetitive motions and routine use of standard office equipment such as computers, telephones, copiers/scanners and filing cabinets. Ability to see, speak, walk, hear, stand, use of hand/fingers to handle or feel; climb stairs, stoop, carry/lifting up to 50 lbs. Ability to sit at a desk. Specific vision abilities required include close vision, color vision, peripheral visions, depth perception and the ability to adjust focus. Regularly utilizes manual dexterity to put parts or pieces together quickly and accurately. DISCLAIMER This Job Description is a general overview of the requirements for the position. It is not designed to contain, nor should it be interpreted as being all inclusive of every task which may be assigned or required. It is subject to change, in alignment with company/department needs and priorities. Gatekeeper Systems, Inc., is an equal opportunity employer. We are committed to developing a diverse workforce and cultivating an inclusive environment. We value diversity and believe that we are strengthened by the differences in our experiences, thinking, culture, and background. We strongly encourage applications from candidates who demonstrate that they can contribute to this goal. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any protected basis.

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. Unlock the Power of Data at Pacific Life. We're seeking talented Data Engineers to join our Pacific Life Team in Newport Beach, CA. Looking for self-starters to help shape the future of data engineering and drive data-driven success. This role is onsite in our Newport Beach office. As a Data Engineer you'll move Pacific Life, and your career, forward by accelerating our data initiatives by bringing modern technical solutioning forward. You will fill a new role that sits on the data team in the technology organization. Your colleagues will include scrum masters and data analyst and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. How you'll help move us forward: * Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions. * Help build scalable products with robust security, quality and governance protocols. * Create low-level design artifacts, including mapping specifications. * Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources using SQL, AWS, Snowflake, and data integration technologies. * Create unit/integration tests and implement automated build and deployment. * Participate in code reviews to ensure standards and best practices. * Deploy, monitor, and maintain production systems. * Use the Agile Framework to organize, manage and execute work. * Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working. The experience you bring: * Bachelor's degree in Computer Science, Data Science or Statistics * 7+ years of experience in analysis, design, development, and delivery of data * 7+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools * Understanding of data engineering best practices and data integration patterns * 2+ years of experience with DevOps and CI/CD * 1+ years of experience (not just POC) in using Git and Python * Agile Scrum work experience * Effective communication & facilitation; both verbal and written * Team-Oriented: Collaborating effectively with team and stakeholders * Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions What makes you stand out: * Experience working with Azure Dev Ops (ADO), Build and Release CI/CD pipelines and orchestration * Experience working with AWS * Experience with automation, scripting, and testing in data delivery environment * 2+ years of experience with Snowflake, DBT, Matillion or Profisee * 1+ years of experience with Control-M * 2+ years of experience coordinating work with a combined team of on-shore & off-shore resources within multiple time zones * Understanding of data catalogs, glossary, data quality, and effective data governance * Financial Services/Investments/Insurance domain knowledge * Experience working in complex data systems * Master Data Management/Reference Data experience You can be who you are. We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife Benefits start Day 1. Your wellbeing is important. We're committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. * Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents * Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off * Paid Parental Leave as well as an Adoption Assistance Program * Competitive 401k savings plan with company match and an additional contribution regardless of participation. Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $134,280.00 - $164,120.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. * Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents * Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off * Paid Parental Leave as well as an Adoption Assistance Program * Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

About the Hiring TeamWelcome to Lightspeed LA, the first U.S.-based, AAA game development studio for Tencent Games. Lightspeed LA is focused on building open-world games that emphasize an ambitious living world, sophisticated player-driven gameplay, and mature, thoughtful storytelling. We are developing the first in a series of genre-defining titles. Why join Lightspeed LA? For us, it's not only about the exciting, new AAA open world game we're developing but also about team values and studio culture. We foster an open and transparent environment where everyone feels comfortable providing constructive feedback about all aspects of our games. ● We encourage the showing of work that's still in progress. ● We don't attack or question unfinished work, we celebrate its promise. ● We have a No Blame Culture where we blame the problem, not the person. This is a safe place to fail, and we don't view failure as a negative, but as the natural result of pushing boundaries and trying new things. We create together. We face Challenges Together. We succeed together.What the Role Entails LightSpeed LA is seeking for a talented and enthusiastic senior gameplay engineer to join our new studio in sunny Irvine California. The ideal candidate will have a strong passion for games and solving ambitious technical and creative problems. Join us and help build a team and culture of mutual respect and passion that pushes boundaries while having lots of fun! Responsibilities: Design, implement, and support quality gameplay systems and tools Collaborate directly and proactively with engineers, designers, artists, and QA to explore and identify needs and opportunities Cultivate strong cross-disciplinary working relationships based on honesty and transparency Author lean, high-performance, maintainable code Actively profile and optimize the game's codebase Participate in the testing and documentation of game systems and tools Mentor, develop, and learn from colleagues Help build and maintain an open and energetic team culture Who We Look For Passion and enthusiasm for creating fun and engaging gameplay through iteration and innovation 5+ years of professional game programming experience Experience bringing a large-scale game title to completion on PC and consoles Expert in C++, debugging, and 3D math Enjoy working closely with creative and technical team members Strong written and verbal communication skills Value lean, simple, efficient, well-tested code Preferred: Experience working either AAA proprietary engines or third party engines like Unreal and Unity Experience with game console hardware Understanding of game asset pipelines Deep knowledge of animation, physics, AI, and/or networking Why Join Us? Location State(s) US-California-IrvineThe expected base pay range for this position in the location(s) listed above is $116,200.00 to $269,100.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.

Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. Unlock the Power of Data at Pacific Life. We're seeking talented Data Engineers to join our Pacific Life Team in Newport Beach, CA. Looking for self-starters to help shape the future of data engineering and drive data-driven success. This role is onsite in our Newport Beach office. As a Data Engineer you'll move Pacific Life, and your career, forward by accelerating our data initiatives by bringing modern technical solutioning forward. You will fill a new role that sits on the data team in the technology organization. Your colleagues will include scrum masters and data analyst and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. How you'll help move us forward: Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions. Help build scalable products with robust security, quality and governance protocols. Create low-level design artifacts, including mapping specifications. Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources using SQL, AWS, Snowflake, and data integration technologies. Create unit/integration tests and implement automated build and deployment. Participate in code reviews to ensure standards and best practices. Deploy, monitor, and maintain production systems. Use the Agile Framework to organize, manage and execute work. Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working. The experience you bring: Bachelor's degree in Computer Science, Data Science or Statistics 7+ years of experience in analysis, design, development, and delivery of data 7+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools Understanding of data engineering best practices and data integration patterns 2+ years of experience with DevOps and CI/CD 1+ years of experience (not just POC) in using Git and Python Agile Scrum work experience Effective communication & facilitation; both verbal and written Team-Oriented: Collaborating effectively with team and stakeholders Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions What makes you stand out: Experience working with Azure Dev Ops (ADO), Build and Release CI/CD pipelines and orchestration Experience working with AWS Experience with automation, scripting, and testing in data delivery environment 2+ years of experience with Snowflake, DBT, Matillion or Profisee 1+ years of experience with Control-M 2+ years of experience coordinating work with a combined team of on-shore & off-shore resources within multiple time zones Understanding of data catalogs, glossary, data quality, and effective data governance Financial Services/Investments/Insurance domain knowledge Experience working in complex data systems Master Data Management/Reference Data experience You can be who you are. We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife Benefits start Day 1. Your wellbeing is important. We're committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. • Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents • Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off • Paid Parental Leave as well as an Adoption Assistance Program • Competitive 401k savings plan with company match and an additional contribution regardless of participation. Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $134,280.00 - $164,120.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.