Data engineer jobs in Yucaipa, CA - 472 jobs

Our client, a Medical Center facility under the aegis of a California Public Ivy university and one of largest health delivery systems in California, seeks an accomplished SCCM Endpoint Engineer. ________________________________________ NOTE- THIS IS LARGELY REMOTE ROLE & ONLY W2 CANDIDATES/NO C2C/1099 *** Candidate must be authorized to work in USA without requiring sponsorship *** Position: SCCM Endpoint Engineer (Job Id - # 3167240) Location: Los Angeles CA 90024 (Hybrid-99% Remote/1% onsite) Duration: 10 months + Strong Possibility of Extension _________________________________________________________ Candidate will travel onsite to learn/view their setup and come onsite as needed for team building or vendor engagements. Onsite requirements are about 2-3 per year. ____________________________________________________ Required skills and experience: Ability to monitor and report on statuses of endpoints utilizing SCCM/MECM & Intune. Understanding of Networking and Active Directory. Advanced knowledge of Microsoft Windows 10, Mac OS, Intune, Autopilot, SCCM/MECM, JAMF, and other endpoint management solutions Advanced knowledge of ISS Microsoft Office products (O365, Office 2016, Outlook, Exchange and OWA). Understanding of project plans, presentations, procedures, diagrams, and other technical documentation. Understanding of Networking protocols and standards: DNS, DHCP, WINS and TCP/IP, etc. Ability to work independently with minimal supervision as well as in a team environment. Ability to follow escalation procedure within the TSD Team and under the ISS umbrella. Establish standards and procedures for best practices, enabling commitments to established SLA's. Ability to research and test new technologies and processes. Demonstrate ability to develop creative solutions to complex problems. Understanding of various Desktop Management Systems such as anti-virus software, patch management, full disk encryption, SSO/Tap-Badge (Imprivata) software and software delivery. Ability to prioritize, organize, and execute work assignments. Ability to communicate the status of various systems to management, leadership and/or support personnel. Ability to skillfully react to a fluid and constantly changing work environment. Ability to train, delegate and review the work of staff members. Advanced knowledge of ticketing systems (ServiceNow). Strong technical abilities with excellent communication and interpersonal skills. Advanced knowledge of cloud computing (Azure, Intune, Autopilot, DaaS, Box, OneDrive). Advanced knowledge of standard desktop imaging and upgrade procedures; SCCM/MECM/MDT, Intune, OSD, PXE, thin vs thick images. Advanced knowledge of VPN remote software and RDP setup. Advanced knowledge of Windows and Citrix based printing. Understand ITIL overview and tier structure support using ticket tracking system. Advanced knowledge of Apple OSX and iOS operating systems and platforms. Advanced knowledge of virtualization technologies (Citrix XenApp, XenDesktop, VMWare, Azure Virtual Desktop, Windows 365, Amazon Workspaces). Advanced knowledge of IT Security applications (Cisco AMP, Aruba OnGuard, DUO, FireEye, Windows Defender, Windows BitLocker, Checkpoint Encryption and USB allowlisting). ___________________________________________ Bhupesh Khurana Lead Technical Recruiter Email - ***************************** Company Overview: Amerit Consulting is an extremely fast-growing staffing and consulting firm. Amerit Consulting was founded in 2002 to provide consulting, temporary staffing, direct hire, and payrolling services to Fortune 500 companies nationally, as well as small to mid-sized organizations on a local & regional level. Currently, Amerit has over 2,000 employees in 47 states. We develop and implement solutions that help our clients operate more efficiently, deliver greater customer satisfaction, and see a positive impact on their bottom line. We create value by bringing together the right people to achieve results. Our clients and employees say they choose to work with Amerit because of how we work with them - with service that exceeds their expectations and a personal commitment to their success. Our deep expertise in human capital management has fueled our expansion into direct hire placements, temporary staffing, contract placements, and additional staffing and consulting services that propel our clients businesses forward. Amerit Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Applicants, with criminal histories, are considered in a manner that is consistent with local, state and federal laws

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 ******************.

Data Scientist, Pricing Opendoor is transforming one of the largest, most complex markets in the world - residential real estate - using data at massive scale. Every pricing signal we generate directly impacts how we value homes, how we manage risk, and how efficiently capital moves through our marketplace. The work is highly leveraged: the quality of our pricing decisions influences conversion, margins, customer trust, and the company's financial performance. We are looking for mid to senior level Data Scientists. In this role, you will be a core driver of how Opendoor prices real estate at scale. You'll operate at the intersection of economics, machine learning, experimentation, and product strategy - tackling ambiguity, shaping the pricing roadmap, and building models/analyses that materially move the business. Your insights will influence how we evaluate millions of dollars of housing inventory - and directly shape outcomes for our customers, our balance sheet, and the health of our marketplace. What You'll Do * Build and maintain pricing metrics, dashboards, and frameworks. * Run experiments and causal analyses to measure impact and drive decisions. * Develop predictive + statistical models that improve pricing accuracy. * Partner closely with Product, Engineering, and Operations teams to influence roadmap and model deployment. * Deliver insights and narratives that inform executive strategy. Skills & Qualifications * Deep statistical reasoning: hypothesis design, experimental design, causal inference, and ability to distinguish signal vs noise. * Proven end-to-end ML ownership: data acquisition, feature engineering, model development, validation, deployment, and ongoing monitoring. * Strong SQL + Python proficiency; comfortable working with production data pipelines and modern ML tooling (e.g., Spark, Airflow, Ray, SageMaker, Vertex, etc.). * Demonstrated ability to translate complex analytical findings into clear business recommendations and influence cross-functional decision-making. * Experience working with ill-defined problems and driving clarity on problem definition, success metrics, and realistic tradeoffs. * High data-quality bar: disciplined approach to validation, bias analysis, and making decisions rooted in evidence vs intuition. * Effective communicator - able to tell the story behind the model to both highly technical and non-technical audiences. Base salary range for this role varies. Generally, the base salary range is $135,000 - $199,000 CAN annually + RSUs + bonus + ESPP + additional employee benefits (medical/dental/vision, life insurance, unlimited PTO, 401K). JR 9200 #LI-KC1 At Opendoor our mission is to tilt the world in favor of homeowners and those who aim to become one. Homeownership matters. It's how people build wealth, stability, and community. It's how families put down roots, how neighborhoods strengthen, how the future gets built. We're building the modern system of homeownership giving people the freedom to buy and sell on their own terms. We've built an end-to-end online experience that has already helped thousands of people and we're just getting started.

Data Scientist - User Insights Salary $150k -$180k Orange County - Hybrid Were looking for a Data Scientist to develop and deploy machine learning models that drive personalization and recommendation insights across SaaS and mobile app platforms.Candidate must be experienced in applying machine learning to real-world problems beyond just theoretical and mathematical concepts Over 5 years of experience designing, building, and deploying large-scale ML systems, with a preference for expertise in recommender systems, predictive modeling, or ad-tech. Proven track record of successfully bringing machine learning solutions to market. You need to deliver data in a way that engineers can easily use and integrate into their systems What youll do: Design, train, and deploy scoring and recommendation models that connect users with relevant offers and personalized experiences in an application. Practical experience working with Generative AI and large language model workflows. Collaborate with engineering, product teams to develop scalable machine learning systems that align with product goals . Successfully moved several machine learning models from prototype to production, delivering real business results. Skilled in Python and its tools like Pandas, PyTorch and TensorFlow. Strong SQL knowledge and experience working with big data platforms like Spark and Snowflake. Experience working hands-on with Generative AI and large language model workflows, including prompt engineering and fine tuning. Experience with ML Ops on cloud platforms such as AWS, including container tools like Docker and Kubernetes, and workflow tools like Airflow and Kubeflow. Experienced in integrating model services with scalable, version-controlled APIs for reliable deployment and maintenance. Perks: Medical, dental, and vision Wellness reimbursements Unlimited PTO Equity opportunity 401(k)

At Kia, we're creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day. Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California. Status Exempt General Summary The Data Scientist will play an important role in executing data analysis for Kia North America's regional subsidiaries (KUS/KCA/KaGA/KMX). A future-driven automotive company, Kia has access to vast and diverse datasets and is excited to fill this position with an individual that can derive business improvements and insights from this data. Strong applicants for this role will have statistics, machine learning, and computer science skills to leverage high-performance compute clusters as well as perform reproducible data analysis at scale. With these requirements in mind, our mindset is that data, analytics, automation, and responsible AI can revolutionize our many lines of business. Essential Duties and Responsibilities 1st Priority - 30% Data wrangling and analysis * Assess the accuracy of new data sources * Understand the relationship between the data and the business process * Preprocess structured and unstructured data * Analyze large amounts of data to discover trends and patterns * Build prediction and classification models * Coordinate with different functional teams for feature engineering 2nd Priority - 30% Assess, visualize, and improve analysis * Test and continuously improve the accuracy of statistical and machine learning models * Present information using Python notebooks and/or dashboards * Simplify and explain complex statistics in an intuitive manner * Continuously monitor and validate production analysis results 3rd Priority - 20% Collaborate with IT Team to deploy analysis results * Build REST APIs for data and analysis result consumption * Assist the IT system developers to deploy analysis as a service 4th Priority - 20% Clear documentation, source code management, and reproducible analysis * Use git within GitLab * Create virtual environments to isolate project dependencies and requirements * Track model performance and hyperparameter configurations * Track data versioning Qualifications/Education Education: * Bachelor's degree or equivalent experience in related field of technology required * Master's degree in analytics, data science, or computer science preferred Job Requirement Overall Related Experience: * Experience querying databases and using programming languages such as Python and SQL * Experience using Hadoop ecosystem (Hadoop, Hive, Impala and Spark etc.) * Experience using statistics, machine learning and deep learning algorithms * Experience publishing results to stakeholders through dashboards (e.g. Power BI, MicroStrategy, Tableau) Directly Related Experience: * 3+ years of experience in data science preferred Specialized Skills and Knowledge Required * Proficiency in Python and SQL * Knowledge of a variety of machine learning techniques including deep learning * Knowledge of advanced statistical techniques * Knowledge and experience with natural language processing (NLP) * Experience with common Python libraries for data analysis such as Pandas and NumPy * Experience with visualization libraries such as Matplotlib, Seaborn, Plotly, Bokeh and plotnine * Experience developing and evaluating statistical and machine learning models using libraries such as stats models and Scikit-learn * Experience with deep learning frameworks such as PyTorch and TensorFlow * Experience with big data processing tools: Hadoop ecosystem, Spark etc. * Strong data-driven problem-solving skills * Excellent written and verbal communication skills to coordinate across teams Competencies * Care for People * Chase Excellence Every Day * Dare to Push Boundaries * Empower People to Act * Move Further Together Pay Range $82,382 - $110,272 Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc. Equal Employment Opportunities KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law. KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices. The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment. Disclaimer: The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

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.

MBK Real Estate (MBK) is an industry leader in real estate operations and development. Through its subsidiaries, MBK Rental Living, MBK Industrial Properties and MBK Senior Living, MBK Real Estate is renowned for building award-winning new home and apartment communities, state-of-art distribution facilities and for its reputation in providing exceptional high standards of service throughout its senior living communities. MBK is a privately held real estate development firm with roots in the business dating back to 1996. MBK's extensive activities through its operating divisions, along with the size and scale of our development and building activities represent the continuation and commitment to American enterprise. Job Description MBK Real Estate is hiring a Data Engineer to join our team at our Home Office in Irvine, CA! This role will be hybrid with 3 days in office and 2 days remote. Job Summary: We are seeking a highly skilled Data Engineer with strong experience in Microsoft Azure, Microsoft Fabric, SQL, Python, and Power BI to help design, build, and optimize our cloud-based data ecosystem. This role will work closely with our data/business intelligence team to ensure scalable, reliable, and high-quality data solutions that support our enterprise data strategy. Supervisory Responsibilities: N/A Duties & Responsibilities: Design, build, and maintain cloud-native data pipelines using Azure Synapse and Microsoft Fabric. Develop and optimize ETL/ELT workflows for ingestion, transformation, and processing of large-scale datasets. Create and manage data models, warehouses, and lakehouse environments within Microsoft Fabric. Write high-performance SQL for data transformation, report automation, modeling, and analytics. Build reusable Python components for data processing, automation, and orchestration. Implement best practices for data quality, governance, observability, security, and performance tuning. Collaborate with data analysts and business teams to translate requirements into scalable solutions. Monitor, troubleshoot, and improve pipelines to ensure high availability and reliability. Contribute to cloud architecture, tooling selection, performance tuning, and overall platform modernization efforts. Salary: $120,000-$130,000 + Bonus **Candidates must be legally authorized to work in the United States. This position does not offer sponsorship now or in the future **We are not able to consider relocation candidates, and candidates will need to reside within a reasonably commutable distance for consideration Education Requirements: A bachelor's Degree in a computer science-related field is strongly preferred. Experience Requirements (in years): 5+ years of professional experience as a Data Engineer or similar role. Strong hands-on experience (3+ years) with Azure cloud services (e.g., Azure Synapse, Azure Data Lake Storage, Azure Functions preferred). Practical experience (1+ years) working with Microsoft Fabric (Data Factory, Lakehouse, Pipelines, Notebooks, and Power BI integration). Advanced proficiency (3+ years) in SQL (query optimization, performance tuning, complex joins, stored procedures). Strong Python programming skills (2+ years) for data processing, automation, and scripting. Required Competencies/Licenses/Certifications: Experience building scalable, production-grade data pipelines for structured and unstructured data. Understanding of data modeling, data warehousing concepts, and ELT/ETL patterns. Familiarity with CI/CD, Git-based workflows, and modern DevOps practices. Microsoft Suite competency. Strong problem-solving and analytical mindset. Excellent communication skills and ability to partner across technical and business teams. Detail-oriented, organized, and able to manage multiple priorities. Growth mindset and eagerness to work with emerging Azure/Fabric technologies. Preferred Qualifications Experience with Delta Lake, parquet, or similar big data file formats. Familiarity with Power BI, semantic models, and Fabric integrated analytics. Knowledge of Spark, Databricks, or distributed data processing. Exposure to data governance frameworks, metadata management, and lineage tools. Azure and/or certifications (e.g., DP-203, Azure Data Engineer Associate, DP-700, Fabric Data Engineer Associate). Physical Demands & Work Environment: Must be mobile and able to perform the physical requirements of the job, bending, kneeling, stooping, pushing, pulling and repetitive motion. Ability to sit and work at a computer for long periods of time. Able to move intermittently throughout the workday and between divisions. We offer a rich benefits package comprising of the following: competitive salaries with opportunities for growth; 401(k) retirement plan with up to 4% employer matching; comprehensive industry leading medical, dental and vision insurance; company-provided life, disability and AD&D insurance; flexible spending accounts, generous paid time off including vacation and sick time, holidays, and bereavement leave; and a variety of programs including leadership development, training, and personal coaching; education loan assistance and scholarships; daily living, financial and legal services; childcare and eldercare assistance; employee discounts; and health and wellness resources that include virtual yoga, mindfulness, and financial readiness for employees and their family members. If you are ready to meet the challenges of this critical role, we want to hear from you! MBK is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, genetic information, or other protected reason. Our company is committed to providing access, equal opportunity and reasonable accommodation for qualifying individuals in employment, its services, programs, and activities. To request reasonable accommodation, contact *************************. Regulatory Disclosures for Senior Living Communities with Medicaid Residents: An “Excluded Party” is a person that the federal or state government found not eligible to provide care and services in a facility that receives Medicare or Medicaid funding. If employed at one of our senior living communities that receives Medicare or Medicaid funding, team members must not be considered an “Excluded Party” as defined by the U.S. Department of Health and Human Services, any state Medicaid Programs, and any additional federal and state government contract programs. If, as a team member, you learn that you are an Excluded Party at any time, you must present your Excluded Party notice letter to your supervisor immediately. Other Regulatory Requirements: If employed at one of our senior living communities, team members must continually comply with certain laws and regulations that impact the company, including, but not limited to, as applicable, state licensing regulations, the Health Insurance Portability and Accountability Act of 1996 (HIPAA), Resident Rights as defined by the U.S. Department of Health and Human Services, and any other federal or state laws relating to team members' professional licenses. HIPAA Disclosure: All Team Members prior to commencing employment and once employed must not be considered an “Excluded Party” as defined by the Medicare and state Medicaid Programs as well as other federal and state government contract programs. If as an associate you learn you are an Excluded Party, you must present your Excluded Party notice letter to your supervisor immediately. An Excluded Party is a person that the federal or state government found not eligible to provide care and services in a Community that receives Medicare or Medicaid funding. In addition, at all times, during your employment, all associates must be in compliance with certain laws and regulations that affect the company, including but not limited to Resident Rights, HIPAA, State licensing regulations, and those laws relating you an associates' professional license.

About Rivian Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract. As a company, we constantly challenge what's possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations. Role Summary We are seeking a Staff Data Engineer to drive the advancement of our Large Driving Model (LDM). The successful candidate will be responsible for the end-to-end data strategy that fuels our models, from mining and curation to experimental collaboration. You will build the pipelines that surface high-value examples, refine evaluation benchmarks, and partner closely with modeling teams to accelerate model performance. Your work will directly influence the intelligence and safety of our autonomous capabilities, serving as a critical pillar in our mission. If you are an independent technical leader, highly analytical, and passionate about data-centric AI, we would like to talk with you! Responsibilities Build scalable data mining pipelines to extract rare and critical driving scenarios from fleet data. Curate and analyze large-scale training datasets to improve the robustness and generalization of the Large Driving Model. Design and enhance evaluation frameworks to rigorously measure model performance against complex real-world baselines. Collaborate closely with modeling engineers to define data requirements and iterate on rapid experimental loops. Identify trends, anomalies, and data distribution shifts that impact model training and validation. Serve as a key technical authority within the department, offering guidance on current and future data infrastructure and strategy. Navigate complex tradeoffs between data quality, scale, and compute budgets, ensuring architectural decisions align with company priorities. Empower fellow engineers by crafting easily extendable and collaborative designs and code. Display the ability to influence and foster consensus across data and modeling teams, even during challenging technical discussions. Qualifications B.S. or M.S. in Computer Science, Data Science, Robotics, Engineering, or a related field. 8+ years of experience as a Data Engineer or Machine Learning Engineer, preferably within the autonomous driving, robotics, or LDM space. Demonstrated potential or experience in technical leadership (TLM), capable of mentoring engineers and managing project roadmaps. Demonstrated ability to set direction and guide the team towards it. Expert level knowledge and experience in Python, SQL, and distributed data processing frameworks. Solid understanding of data-centric AI, dataset curation strategies, and model evaluation methodologies. Experience with large-scale sensor data (LiDAR, Camera) or complex robotics systems. Excellent problem-solving skills and attention to detail. Capable of working in a fast-paced development environment. Good team player with excellent communication skills that can build team consensus. Passionately motivated to take ideas from experimental validation to a verified product. Hands-on approach: Proactively identifies and fills in gaps where needed. Pay Disclosure Salary Range for California Based Applicants: $228,000.00 - $285,000.00 (actual compensation will be determined based on experience, location, and other factors permitted by law). Benefits Summary: Rivian provides robust medical/Rx, dental and vision insurance packages for full-time employees, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities. If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes ("Candidate Personal Data"). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian's service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services. B.S. or M.S. in Computer Science, Data Science, Robotics, Engineering, or a related field. 8+ years of experience as a Data Engineer or Machine Learning Engineer, preferably within the autonomous driving, robotics, or LDM space. Demonstrated potential or experience in technical leadership (TLM), capable of mentoring engineers and managing project roadmaps. Demonstrated ability to set direction and guide the team towards it. Expert level knowledge and experience in Python, SQL, and distributed data processing frameworks. Solid understanding of data-centric AI, dataset curation strategies, and model evaluation methodologies. Experience with large-scale sensor data (LiDAR, Camera) or complex robotics systems. Excellent problem-solving skills and attention to detail. Capable of working in a fast-paced development environment. Good team player with excellent communication skills that can build team consensus. Passionately motivated to take ideas from experimental validation to a verified product. Hands-on approach: Proactively identifies and fills in gaps where needed. Build scalable data mining pipelines to extract rare and critical driving scenarios from fleet data. Curate and analyze large-scale training datasets to improve the robustness and generalization of the Large Driving Model. Design and enhance evaluation frameworks to rigorously measure model performance against complex real-world baselines. Collaborate closely with modeling engineers to define data requirements and iterate on rapid experimental loops. Identify trends, anomalies, and data distribution shifts that impact model training and validation. Serve as a key technical authority within the department, offering guidance on current and future data infrastructure and strategy. Navigate complex tradeoffs between data quality, scale, and compute budgets, ensuring architectural decisions align with company priorities. Empower fellow engineers by crafting easily extendable and collaborative designs and code. Display the ability to influence and foster consensus across data and modeling teams, even during challenging technical discussions.

ABOUT US: Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world's top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people's lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology. Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. KEY RESPONSIBILITIES Develop and maintain the Big Data Platform by performing data cleansing, data warehouse modeling, and report development on large datasets. Collaborate with cross-functional teams to provide actionable insights for decision-making. Manage the operation and administration of the Big Data Platform, including system deployment, task scheduling, proactive monitoring, and alerting to ensure stability and security. Handle data collection and integration tasks, including ETL development, data de-identification, and managing data security. Provide support for other departments by processing data, writing queries, developing solutions, performing statistical analysis, and generating reports. Troubleshoot and resolve critical issues, conduct fault diagnosis, and optimize system performance. Requirements REQUIRED QUALIFICATIONS Bachelor's degree or higher in Computer Science or a related field, with at least three years of experience maintaining a Big Data platform. Strong understanding of Big Data technologies such as Hadoop, Flink, Spark, Hive, HBase, and Airflow, with proven expertise in Big Data development and performance optimization. Familiarity with Big Data OLAP tools like Kylin, Impala, and ClickHouse, as well as experience in data warehouse design, data modeling, and report generation. Proficiency in Linux development environments and Python programming. Excellent communication, collaboration, and teamwork skills, with a proactive attitude and a strong sense of responsibility. PREFERRED QUALIFICAITONS Experience with cloud-based deployments, particularly AWS EMR, with familiarity in other cloud platforms being a plus. Proficiency in additional languages such as Java or Scala is a plus. Benefits Salary Range: $150,000 - $180,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

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!

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.

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.

Project description 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 Skills Must have 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 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 ******************.

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.

Job Description ABOUT US: Headquartered in the United States, TP-Link Systems Inc. is a global provider of reliable networking devices and smart home products, consistently ranked as the world's top provider of Wi-Fi devices. The company is committed to delivering innovative products that enhance people's lives through faster, more reliable connectivity. With a commitment to excellence, TP-Link serves customers in over 170 countries and continues to grow its global footprint. We believe technology changes the world for the better! At TP-Link Systems Inc, we are committed to crafting dependable, high-performance products to connect users worldwide with the wonders of technology. Embracing professionalism, innovation, excellence, and simplicity, we aim to assist our clients in achieving remarkable global performance and enable consumers to enjoy a seamless, effortless lifestyle. KEY RESPONSIBILITIES Develop and maintain the Big Data Platform by performing data cleansing, data warehouse modeling, and report development on large datasets. Collaborate with cross-functional teams to provide actionable insights for decision-making. Manage the operation and administration of the Big Data Platform, including system deployment, task scheduling, proactive monitoring, and alerting to ensure stability and security. Handle data collection and integration tasks, including ETL development, data de-identification, and managing data security. Provide support for other departments by processing data, writing queries, developing solutions, performing statistical analysis, and generating reports. Troubleshoot and resolve critical issues, conduct fault diagnosis, and optimize system performance. Requirements REQUIRED QUALIFICATIONS Bachelor's degree or higher in Computer Science or a related field, with at least three years of experience maintaining a Big Data platform. Strong understanding of Big Data technologies such as Hadoop, Flink, Spark, Hive, HBase, and Airflow, with proven expertise in Big Data development and performance optimization. Familiarity with Big Data OLAP tools like Kylin, Impala, and ClickHouse, as well as experience in data warehouse design, data modeling, and report generation. Proficiency in Linux development environments and Python programming. Excellent communication, collaboration, and teamwork skills, with a proactive attitude and a strong sense of responsibility. PREFERRED QUALIFICAITONS Experience with cloud-based deployments, particularly AWS EMR, with familiarity in other cloud platforms being a plus. Proficiency in additional languages such as Java or Scala is a plus. Benefits Salary Range: $150,000 - $180,000 Free snacks and drinks, and provided lunch on Fridays Fully paid medical, dental, and vision insurance (partial coverage for dependents) Contributions to 401k funds Bi-annual reviews, and annual pay increases Health and wellness benefits, including free gym membership Quarterly team-building events At TP-Link Systems Inc., we are continually searching for ambitious individuals who are passionate about their work. We believe that diversity fuels innovation, collaboration, and drives our entrepreneurial spirit. As a global company, we highly value diverse perspectives and are committed to cultivating an environment where all voices are heard, respected, and valued. We are dedicated to providing equal employment opportunities to all employees and applicants, and we prohibit discrimination and harassment of any kind based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Beyond compliance, we strive to create a supportive and growth-oriented workplace for everyone. If you share our passion and connection to this mission, we welcome you to apply and join us in building a vibrant and inclusive team at TP-Link Systems Inc. Please, no third-party agency inquiries, and we are unable to offer visa sponsorships at this time.

ArcGIS Data Pipelines is a new ArcGIS Online application that allows you to access, process, and integrate data from a wide variety of sources. It offers an intuitive drag-and-drop interface where you can create reproducible data preparation workflows without writing any code. Our team is passionate about making messy, disparate data actionable and analysis ready. As a Backend Java Engineer, you will focus on designing, implementing, testing, and delivering new back-end data integrations and processing to power these capabilities, and have a key voice in the product development process. Come join us in building a next-generation data integration and preparation tool for cloud and enterprise users. Responsibilities Build and support connectors to work with disparate data from multiple sources Build server-side components and web services to power geospatial data processing and user experiences Deliver reliable capabilities that can scale and support multiple environments, from on-premises to integrated SaaS Collaborate with other teams to understand requirements and incorporate them into the software Be entrepreneurial and look for opportunities for improvement or to apply new ideas Requirements 2+ years of industry experience developing using Java Strong understanding of API design and Java design patterns Experience with data storage systems such as data warehouses and object stores Excellent problem-solving, collaboration, communication, & time management skills Bachelor's degree in computer information systems, computer science, engineering, or another technical field Recommended Qualifications Experience with Python and Scala Experience with Spark or distributed computing Knowledge of Docker containers and orchestrators such as Kubernetes Experience with Java build systems and developer operations Master's degree in computer information systems, computer science, engineering, or another technical field #LI-TA1

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.