Data engineer jobs in Irvine, CA

Robert Half is partnering with a well known high tech company seeking an experienced Data Engineer with strong Python and SQL skills. The primary duties involve managing the complete data lifecycle and utilizing extensive datasets across marketing, software, and web platforms. This position is full time with full benefits and 3 days onsite in the Culver CIty area. Responsibilities: 4+ years of professional experience ideally in a combination of data engineering and business intelligence. Working heavily with SQL and programming in Python. Ownership mindset to oversee the entire data lifecycle, including collection, extraction, and cleansing processes. Building reports and data visualization to help advance business. Leverage industry-standard tools for data integration such as Talend. Work extensively within Cloud based ecosystems such as AWS and GCP ecosystems. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering, data warehousing, and big data technologies. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL Technologies. Experience working within GCP environments and AWS. Experience in real-time data pipeline tools. Hands-on expertise with Google Cloud services including BigQuery. Deep knowledge of SQL including Dimension tables and experienced in Python programming.

City: Glendale, CA Onsite/ Hybrid/ Remote: Hybrid (3 days a week onsite, Friday - Remote) Duration: 12 months Rate Range: Up to$85/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: • 5+ years Data Engineering • Airflow • Spark DataFrame API • Databricks • SQL • API integration • AWS • Python or Java or Scala Responsibilities: • Maintain, update, and expand Core Data platform pipelines. • Build tools for data discovery, lineage, governance, and privacy. • Partner with engineering and cross-functional teams to deliver scalable solutions. • Use Airflow, Spark, Databricks, Delta Lake, Kubernetes, and AWS to build and optimize workflows. • Support platform standards, best practices, and documentation. • Ensure data quality, reliability, and SLA adherence across datasets. • Participate in Agile ceremonies and continuous process improvement. • Work with internal customers to understand needs and prioritize enhancements. • Maintain detailed documentation that supports governance and quality. Qualifications: • 5+ years in data engineering with large-scale pipelines. • Strong SQL and one major programming language (Python, Java, or Scala). • Production experience with Spark and Databricks. • Experience ingesting and interacting with API data sources. • Hands-on Airflow orchestration experience. • Experience developing APIs with GraphQL. • Strong AWS knowledge and infrastructure-as-code familiarity. • Understanding of OLTP vs OLAP, data modeling, and data warehousing. • Strong problem-solving and algorithmic skills. • Clear written and verbal communication. • Agile/Scrum experience. • Bachelor's degree in a STEM field or equivalent industry experience.

STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India. Our global solutions team is seeking an Azure & Microsoft Fabric Data Engineer/Architect to support and lead our Media & Entertainment client to build a next-generation financial data platform. We're looking for someone who can contribute both strategically and will have the hands-on skill to provide subject matter expertise. In this role, you'll design and build enterprise-level data models, lead data migration efforts into Azure, and develop cutting-edge data processing pipelines using Microsoft Fabric. If you thrive at the intersection of architecture and hands-on engineering, and want to help shape a modern financial system with complex upstream data processing - this is the opportunity for you! This project will required the person to work onsite the Burbank / Studio City adjacent location 3 days / week. We are setting up interviews immediately and look forward to hearing from you! This is a hybrid position requiring 3-4 days per week onsite. Responsibilities Architect, design, and hands-on develop end-to-end data solutions using Azure Data Services and Microsoft Fabric. Build and maintain complex data models in Azure SQL, Lakehouse, and Fabric environments that support advanced financial calculations. Lead and execute data migration efforts from multiple upstream and legacy systems into Azure and Fabric. Develop, optimize, and maintain ETL/ELT pipelines using Microsoft Fabric Data Pipelines, Data Factory, and Azure engineering tools. Perform hands-on SQL development, including stored procedures, query optimization, performance tuning, and data transformation logic. Partner with finance, engineering, and product stakeholders to translate requirements into scalable, maintainable data solutions. Ensure data quality, lineage, profiling, and governance across ingestion and transformation layers. Tune and optimize Azure SQL databases and Fabric Lakehouse environments for performance and cost efficiency. Troubleshoot data processing and pipeline issues to maintain stability and reliability. Document architecture, data flows, engineering standards, and best practices. Qualifications Expert, hands-on experience with Azure Data Services (Azure SQL, Data Factory, Data Lake Storage, Synapse, Azure Storage). Deep working knowledge of Microsoft Fabric, including Data Engineering workloads, Lakehouse, Fabric SQL, Pipelines, and governance. Strong experience designing and building data models within Azure SQL and Fabric architectures. Proven track record delivering large-scale data migrations into Azure environments. Advanced proficiency in SQL/T-SQL, including stored procedures, indexing, and performance tuning. Demonstrated success building and optimizing ETL/ELT pipelines for complex financial or multi-source datasets. Understanding of financial systems, data structures, and complex calculation logic. Excellent communication and documentation skills with the ability to collaborate across technical and business teams. Additional Details The base range for this contract position is $70-85/per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered. Additional Details The base range for this contract position is $70-85/per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Qualified applicants with arrest or conviction records will be considered. Benefits Medical coverage and Health Savings Account (HSA) through Anthem Dental/Vision/Various Ancillary coverages through Unum 401(k) retirement savings plan Company-paid Employee Assistance Program (EAP) Discount programs through ADP WorkforceNow About Us STAND 8 provides end-to-end IT solutions to enterprise partners across the United States and globally with offices in Los Angeles, Atlanta, New York, Mexico, Japan, India, and more. STAND 8 focuses on the "bleeding edge" of technology and leverages automation, process, marketing, and over fifteen years of success and growth to provide a world-class experience for our customers, partners, and employees. Our mission is to impact the world positively by creating success through PEOPLE, PROCESS, and TECHNOLOGY. Check out more at ************** and reach out today to explore opportunities to grow together! By applying to this position, your data will be processed in accordance with the STAND 8 Privacy Policy.

Role: Sr Technical Lead Duration: 12+ Month Contract Daily Tasks Performed: Lead the design, development, and deployment of a scalable, secure, and high-performance CDP SaaS product. Architect solutions that integrate with various data sources, APIs, and third-party platforms. Design, develop, and optimize complex SQL queries for data extraction, transformation, and analysis Build and maintain workflow pipelines using Digdag, integrating with data platforms such as Treasure Data, AWS, or other cloud services Automate ETL processes and schedule tasks using Digdag's YAML-based workflow definitions Implement data quality checks, logging, and alerting mechanisms within workflow Leverage AWS services (e.g., S3, Lambda, Athena) where applicable to enhance data processing and storage capabilities Ensure best practices in software engineering, including code reviews, testing, CI/CD, and documentation. Oversee data privacy, security, and compliance initiatives (e.g., GDPR, CCPA). Ensure adherence to security, compliance, and data governance requirements. Oversee development of real-time and batch data processing systems. Collaborate with cross-functional teams including data analysts, product managers, and software engineers to translate business requirements into technical solutions Collaborate with the stakeholders to define technical requirements to align technical solutions with business goals and deliver product features. Mentor and guide developers, fostering a culture of technical excellence and continuous improvement. Troubleshoot complex technical issues and provide hands-on support as needed. Monitor, troubleshoot, and improve data workflows for performance, reliability, and cost-efficiency as needed Optimize system performance, scalability, and cost efficiency. What this person will be working on: As the Senior Technical Lead for our Customer Data Platform (CDP), the candidate will define the technical strategy, architecture, and execution of the platform. They will lead the design and delivery of scalable, secure, and high-performing solutions that enable unified customer data management, advanced analytics, and personalized experiences. This role demands deep technical expertise, strong leadership, and a solid understanding of data platforms and modern cloud technologies. It is a pivotal position that supports the CDP vision by mentoring team members and delivering solutions that empower our customers to unify, analyze, and activate their data. Position Success Criteria (Desired) - 'WANTS' Bachelor's or Master's degree in Computer Science, Engineering, or related field. 8+ years of software development experience, with at least 3+ years in a technical leadership role. Proven experience building and scaling SaaS products, preferably in customer data, marketing technology, or analytics domains Extensive hands-on experience with Presto, Hive, and Python Strong proficiency in writing complex SQL queries for data extraction, transformation, and analysis Familiarity with AWS data services such as S3, Athena, Glue, and Lambda Deep understanding of data modeling, ETL pipelines, workflow orchestration, and both real-time and batch data processing Experience ensuring data privacy, security, and compliance in SaaS environments Knowledge of Customer Data Platforms (CDPs), CDP concepts, and integration with CRM, marketing, and analytics tools Excellent communication, leadership, and project management skills Experience working with Agile methodologies and DevOps practices Ability to thrive in a fast-paced, agile environment Collaborative mindset with a proactive approach to problem-solving Stay current with industry trends and emerging technologies relevant to SaaS and customer data platforms.

Job Title: Data Engineer Duration: Direct-Hire Opportunity We are looking for a Data Engineer who is hands-on, collaborative, and experienced with Microsoft SQL Server, Snowflake, AWS RDS, and MySQL. The ideal candidate has a strong background in data warehousing, data lakes, ETL pipelines, and business intelligence tools. This role plays a key part in executing data strategy - driving optimization, reliability, and scalable BI capabilities across the organization. It's an excellent opportunity for a data professional who wants to influence architectural direction, contribute technical expertise, and grow within a data-driven company focused on innovation. Key Responsibilities Design, develop, and maintain SQL Server and Snowflake data warehouses and data lakes, focusing on performance, governance, and security. Manage and optimize database solutions within Snowflake, SQL Server, MySQL, and AWS RDS. Build and enhance ETL pipelines using tools such as Snowpipe, DBT, Boomi, SSIS, and Azure Data Factory. Utilize data tools such as SSMS, Profiler, Query Store, and Redgate for performance tuning and troubleshooting. Perform database administration tasks, including backup, restore, and monitoring. Collaborate with Business Intelligence Developers and Business Analysts on enterprise data projects. Ensure database integrity, compliance, and adherence to best practices in data security. Configure and manage data integration and BI tools such as Power BI, Tableau, Power Automate, and scripting languages (Python, R). Qualifications Proficiency with Microsoft SQL Server, including advanced T-SQL development and optimization. 7+ years working as a SQL Server Developer/Administrator, with experience in relational and object-oriented databases. 2+ years of experience with Snowflake data warehouse and data lake solutions. Experience developing pipelines and reporting solutions using Power BI, SSRS, SSIS, Azure Data Factory, or DBT. Scripting and automation experience using Python, PowerShell, or R. Familiarity with data integration and analytics tools such as Boomi, Redshift, or Databricks (a plus). Excellent communication, problem-solving, and organizational skills. Education: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. Technical Skills SQL Server / Snowflake / MySQL / AWS RDS ETL Development (Snowpipe, SSIS, Azure Data Factory, DBT) BI Tools (Power BI, Tableau) Python, R, PowerShell Data Governance & Security Best Practices Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individual's skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the company's 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.

We are seeking a Data Analytics Engineer to join our team who serves as a hybrid Database Administrator, Data Engineer, and Data Analyst, responsible for managing core data infrastructure, developing and maintaining ETL pipelines, and delivering high-quality analytics and visual insights to executive stakeholders. This role bridges technical execution with business intelligence, ensuring that data across Salesforce, financial, and operational systems is accurate, accessible, and strategically presented. Essential Functions Database Administration: Oversee and maintain database servers, ensuring performance, reliability, and security. Manage user access, backups, and data recovery processes while optimizing queries and database operations. Data Engineering (ELT): Design, build, and maintain robust ELT pipelines (SQL/DBT or equivalent) to extract, transform, and load data across Salesforce, financial, and operational sources. Ensure data lineage, integrity, and governance throughout all workflows. Data Modeling & Governance: Design scalable data models and maintain a governed semantic layer and KPI catalog aligned with business objectives. Define data quality checks, SLAs, and lineage standards to reconcile analytics with finance source-of-truth systems. Analytics & Reporting: Develop and manage executive-facing Tableau dashboards and visualizations covering key lending and operational metrics - including pipeline conversion, production, credit quality, delinquency/charge-offs, DSCR, and LTV distributions. Presentation & Insights: Translate complex datasets into clear, compelling stories and presentations for leadership and cross-functional teams. Communicate findings through visual reports and executive summaries to drive strategic decisions. Collaboration & Integration: Partner with Finance, Capital Markets, and Operations to refine KPIs and perform ad-hoc analyses. Collaborate with Engineering to align analytical and operational data, manage integrations, and support system scalability. Enablement & Training: Conduct training sessions, create documentation, and host data office hours to promote data literacy and empower business users across the organization. Competencies & Skills Advanced SQL proficiency with strong data modeling, query optimization, and database administration experience (PostgreSQL, MySQL, or equivalent). Hands-on experience managing and maintaining database servers and optimizing performance. Proficiency with ETL/ELT frameworks (DBT, Airflow, or similar) and cloud data stacks (AWS/Azure/GCP). Strong Tableau skills - parameters, LODs, row-level security, executive-level dashboard design, and storytelling through data. Experience with Salesforce data structures and ingestion methods. Proven ability to communicate and present technical data insights to executive and non-technical stakeholders. Solid understanding of lending/financial analytics (pipeline conversion, delinquency, DSCR, LTV). Working knowledge of Python for analytics tasks, cohort analysis, and variance reporting. Familiarity with version control (Git), CI/CD for analytics, and data governance frameworks. Excellent organizational, documentation, and communication skills with a strong sense of ownership and follow-through. Education & Experience Bachelor's degree in Computer Science, Engineering, Information Technology, Data Analytics, or a related field. 3+ years of experience in data analytics, data engineering, or database administration roles. Experience supporting executive-level reporting and maintaining database infrastructure in a fast-paced environment.

We are seeking a skilled Data Engineer with strong experience in business intelligence (BI) and data warehouse development to join our team. In this role, you will design, build, and optimize data pipelines and warehouse architectures that support analytics, reporting, and data-driven decision-making. You will work closely with analysts, data scientists, and business stakeholders to ensure reliable, scalable, and high-quality data solutions. Responsibilities: Develop and maintain ETL/ELT pipelines for ingesting, transforming, and delivering data. Design and enhance data warehouse models (star/snowflake schemas) and BI datasets. Optimize data workflows for performance, scalability, and reliability. Collaborate with BI teams to support dashboards, reporting, and analytics needs. Ensure data quality, governance, and documentation across all solutions. Qualifications: Proven experience with data engineering tools (SQL, Python, ETL frameworks). Strong understanding of BI concepts, reporting tools, and dimensional modeling. Hands-on experience with cloud data platforms (e.g., AWS, Azure, GCP) is a plus. Excellent problem-solving skills and ability to work in a cross-functional environment.

Required Skills & Qualifications Strong experience in enterprise data warehousing, BI architecture, and large-scale analytics delivery Deep understanding of data modeling for analytics (dimensional & semantic layer design) Hands-on expertise with ETL/ELT patterns and orchestration Strong knowledge of data governance, metadata management, security models, and IAM for data platforms Experience with BI tools (preferably Looker or equivalent enterprise-grade platforms) Awareness of AI/ML techniques for insight automation, anomaly/outlier detection Strong understanding of DevOps concepts for data: CI/CD, code-based delivery, versioning Proficiency in cloud-based data analytics platforms (GCP experience highly advantageous; BigQuery familiarity a plus) Excellent stakeholder management, business communication, and requirement discovery skills Ability to operate in an onsite-offshore model, driving clarity and collaboration

Join the Pacsun Community Co-created in Los Angeles, Pacsun inspires the next generation of youth, building community at the intersection of fashion, music, art and sport. Pacsun is a leading lifestyle brand offering an exclusive collection of the most relevant brands and styles such as adidas, Brandy Melville, Essentials Fear of God, our own brands, and many more. Our Pacsun community believes in and understands the importance of using our voice, platform, and resources to inspire and bring about positive development. Through our PacCares program, we are committed to our responsibility in using our platform to drive change and take action on the issues important to our community. Join the Pacsun Community. Learn more here: LinkedIn- Our Community About the Job: Pacsun's IT eCommerce team uses AI and innovative technologies to enhance customer experience and improve operational efficiency. As a key member of the team, the Senior eCommerce Developer contributes the architecture, development and optimization of the company's digital commerce experiences. This role is responsible for both back‑end and front-end development on Salesforce Commerce Cloud (SFCC), ensuring high‑performance, secure and accessible storefronts, with robust system integration in the eCommerce ecosystem. The Senior eCommerce Developer will lead end‑to‑end delivery of new features, mentor junior developers and off-shore team, and collaborate closely with UX, product, QA and business teams to create compelling online experiences that drive revenue and customer loyalty. This role will work on the full stack of Pacsun's Salesforce Commerce Cloud, mobile app, AI initiatives and system integrations, supporting Commerce, Loyalty, CRM, OMS, and other eCommerce platforms. A day in the life, what you'll be doing: Back‑End Development & Integration Design, build and maintain SFCC server‑side components, including controllers, pipelines, cartridges and custom business logic. Develop and manage robust APIs that connect SFCC with tax engines, payment processors, fraud management services and the order management system. Ensure reliable data synchronization between SFCC and external platforms such as CRM, Loyalty, OMS, ERP and analytics systems. Optimize database models, caching strategies and performance tuning to support high transaction volumes and peak traffic periods. Checkout & Transaction Optimization Own the end‑to‑end checkout experience, ensuring seamless, secure and performant workflows from cart to order confirmation. Integrate payment gateways and fraud protections to deliver accurate pricing and effortless transactions. Collaborate with UX and product teams to identify friction points in the checkout process and implement improvements that boost conversion and customer satisfaction. Tax, Shipping & OMS Integration Implement and maintain integrations with third‑party tax services to handle complex jurisdictional tax rules. Connect SFCC to shipping providers and fulfillment platforms to provide real‑time shipping options and tracking. Build and support integrations with the order management system to ensure accurate order routing, inventory updates and status synchronization. AI & Innovation Support Partner with data science and innovation teams to embed AI‑driven personalization, recommendation and search solutions into the platform. Develop integration points for machine‑learning models and real‑time personalization engines, ensuring data security and compliance. Prototype and implement new technologies that enhance the customer experience and streamline operations. Technical Leadership & Collaboration Lead code reviews, define backend architecture standards and mentor less experienced developers on integration patterns and best practices. Participate in IT management and technical teams to develop and deploy processes to ensure rapid, reliable releases. Work closely with product, UX, QA and DevOps teams to define requirements, plan sprints and deliver high‑quality software on schedule. What it takes to Join: 8+ years of experience in web development and at least 5 years focused on Salesforce Commerce Cloud and SFRA. Deep knowledge of modern front‑end technologies (HTML5, CSS3/SCSS, JavaScript, React or similar frameworks) and back‑end development (Node.js, Java or equivalent). Hands‑on experience with SFCC OCAPI/SCAPI, cartridge development, API integrations and Business Manager configurations. Proven track record integrating third‑party services (payments, tax, shipping, CRM, loyalty, analytics) and implementing secure, scalable solutions. Familiarity with Agile methodologies, version control (Git) and CI/CD pipelines. Strong understanding of web performance optimization, SEO and accessibility standards. Ability to lead discussions, mentor teammates and collaborate with technical teams. Bachelor's degree in Computer Science, Information Systems or related field; Salesforce B2C Commerce Developer certification is preferred. Salesforce Commerce Cloud SFRA certified developer is preferred. Proven ability to excel in fast-growing, dynamic business environments with competing priorities, with a positive, solution-oriented mindset. Excellent analytical and problem-solving skills. Salary Range: $149,000 - $159,000 Pac Perks: Dog friendly office environment On-site Cafe On-site Gym $1,000 referral incentive program Generous associate discount of 30-50% off merchandise online and in-stores Competitive long term and short-term incentive program Immediate 100% vested 401K contributions and employer match Calm Premium access for all employees Employee perks throughout the year Physical Requirements: The physical demands described here are representative of those that are required by an associate to successfully perform the essential functions of this job. While performing the duties of this job, the associate is regularly required to talk or hear. The associate is frequently required to sit; stand; walk; use hands to finger, handle or feel; as well as reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, depth perception and ability to adjust focus. Ability to work in open environment with fluctuating temperatures and standard lighting. Ability to work on computer and mobile phone for multiple hours; with frequent interruptions. Required to travel in elevator or stairwells to attend meetings and engage with associates on multiple floors throughout building. Hotel, Airplane, and Car Travel may be required. Position Type/Expected Hours of Work: This is a full-time position. As a National Retailer, occasional evening and/or weekend work may be required during periods of high volume. This role operates in a professional office environment and routinely uses standard office equipment. Other Considerations: Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the associate for this job. Duties, responsibilities and activities may change at any time with or without notice. Reasonable accommodations may be made to qualified individuals with disabilities to enable them to perform the essential functions of the role. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Employment Type: Full-Time, Direct Hire (W2 Only - No sponsorship available) About the Role We're seeking a skilled and driven ServiceNow CMDB Engineer to join our team in Irving, TX. This is a hands-on, onsite role focused on designing, implementing, and maintaining a robust Configuration Management Database (CMDB) aligned with ServiceNow's Common Service Data Model (CSDM). You'll play a critical role in enhancing IT operations, asset management, and service delivery across the enterprise. Responsibilities Architect, configure, and maintain the ServiceNow CMDB to support ITOM and ITAM initiatives Implement and optimize CSDM frameworks to ensure data integrity and alignment with business services Collaborate with cross-functional teams to define CI classes, relationships, and lifecycle processes Develop and enforce CMDB governance, data quality standards, and reconciliation rules Integrate CMDB with discovery tools and external data sources Support audits, compliance, and reporting requirements related to ITIL processes Troubleshoot and resolve CMDB-related issues and performance bottlenecks Qualifications 3+ years of hands-on experience with ServiceNow CMDB and CSDM implementation Strong understanding of ITIL practices and ITOM/ITAM modules Proven ability to manage CI lifecycle and maintain data accuracy Experience with ServiceNow Discovery, Service Mapping, and integrations ServiceNow Certified System Administrator (CSA) or higher certifications preferred Excellent communication and documentation skills Must be authorized to work in the U.S. without sponsorship Perks & Benefits Competitive compensation package Collaborative and innovative work environment Opportunity to work with cutting-edge ServiceNow technologies

Key Responsibilities Design develop and maintain ELT pipelines using Snowflake and DBT Build and optimize data models in Snowflake to support analytics and reporting Implement modular testable SQL transformations using DBT Integrate DBT workflows into CICD pipelines and manage infrastructure as code using Terraform Collaborate with data scientists analysts and business stakeholders to translate requirements into technical solutions Optimize Snowflake performance through clustering partitioning indexing and materialized views Automate data ingestion and transformation workflows using Airflow or similar orchestration tools Ensure data quality governance and security across pipelines Troubleshoot and resolve performance bottlenecks and data issues Maintain documentation for data architecture pipelines and operational procedures Required Skills Qualifications Bachelors or Masters degree in Computer Science Data Engineering or related field 10 years of experience in data engineering with at least 3 years focused on Snowflake and DBT Strong proficiency in SQL and Python Experience with cloud platforms AWS GCP or Azure Familiarity with Git CICD and Infrastructure as Code tools Terraform CloudFormation Knowledge of data modeling star schema normalization and ELT best practices

We're seeking a Senior Software Engineer who thrives at the intersection of application development and DevOps. You'll design, build, and deploy scalable SaaS solutions for Medicare and Medicaid health plans, while also contributing to the automation, reliability, and security of our development lifecycle. This role is central to delivering high-quality features for our Compliance, Appeals & Grievances, and Universe Scrubber products. Key Responsibilities: · Application Development Design and implement backend services, APIs, and user interfaces using modern frameworks and cloud-native architecture. Ensure performance, scalability, and maintainability across the stack. · DevOps Integration Collaborate with infrastructure and DevOps teams to build and maintain CI/CD pipelines, automate deployments, and optimize environment provisioning across development, QA, and production. · Cloud-Native Engineering Develop and deploy applications on AWS, leveraging services like Lambda, ECS, RDS, and S3. Ensure solutions are secure, resilient, and compliant with healthcare regulations. · Quality & Compliance Write clean, testable code and participate in peer reviews, unit testing, and performance tuning. Ensure all software adheres to CMS, HIPAA, and internal compliance standards. · AI-Enabled Features Support integration of AI/ML capabilities into product workflows, such as intelligent routing of grievances or automated compliance checks. · Mentorship & Collaboration Provide technical guidance to junior engineers and collaborate with cross-functional teams to translate healthcare business needs into technical solutions. Qualifications: Bachelor's degree in computer science or related field 5+ years of experience in software development, with exposure to DevOps practices Proficiency in languages such as Java, Python, or C#, and experience with cloud platforms (preferably AWS) Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions), infrastructure-as-code (e.g., Terraform, Ansible), and containerization (e.g., Docker, Kubernetes) Understanding of healthcare data formats (EDI, HL7, FHIR) and regulatory frameworks

Hanwha Vision America (HVA) is an affiliate of the Hanwha Group, a Fortune Global 500 company. HVA is an industry-leading provider of advanced network video surveillance products, including IP cameras, storage devices, and video management systems, founded on world-class technologies. We offer end-to-end security solutions and have achieved global success across a wide range of industry verticals, including retail, transportation, education, banking, healthcare, hospitality, and airports. Hanwha Vision America is seeking a highly experienced and visionary Principal Software Engineer to join our core platform team. With 15-20 years of deep technical expertise, you will play a critical role in designing, architecting, implementing, and maintaining our next-generation real-time video management and physical security services and IoT SaaS platform. You will be a technical leader, responsible for driving architectural decisions, ensuring scalability and security, mentoring other engineers, and tackling our most complex engineering challenges. Your experience in large-scale distributed systems, real-time communication, cloud-native architectures (especially AWS), and cybersecurity best practices will be paramount. This role requires collaboration with the company's presence across various global teams (US East, US West, South Korea, India) to align with the Product Management and Product Engineering Processes. Cloud Expertise Leverage deep knowledge of AWS managed services to build robust, cost-effective, and scalable solutions. Optimize cloud resource utilization and architecture. Database Strategy Design and optimize data models for both SQL and NoSQL databases, ensuring data integrity, performance, and scalability for large datasets. Security Focus Champion and implement cybersecurity best practices based on OWASP Top 10 guidelines. Analyze results from source control analysis and penetration testing, integrating security into the design lifecycle. Protocol Implementation Design, implement, and troubleshoot systems utilizing communication protocols like HTTPS, MQTT, WebSocket, and WebRTC channels. Best Practices & Quality Establish and enforce high standards for software development, including the use of design patterns, comprehensive design documentation, rigorous unit testing, and thorough code reviews. Collaboration Work closely with product managers, DevOps, QA, and other engineering teams to deliver high-quality features and systems in Korea, India, and the US (California, New Jersey). REQUIRED QUALIFICATIONS: Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent practical experience). 15-20+ years of professional software engineering experience, building and operating commercial, large-scale, distributed systems. Proven track record designing and developing real-time systems, specifically within video management services and/or IoT platforms within a SaaS model. Expertise in designing scalable, responsive architectures, including microservices, client-server patterns, and concurrent design. Extensive experience utilizing AWS managed services for building and deploying cloud-native applications. Strong proficiency in Java programming and relevant scripting languages (e.g., Python, Bash). Deep understanding and practical experience with both SQL and NoSQL database technologies, including database modeling and optimization of DynamoDB and RDS/Aurora Deep understanding and practical experience with caching technologies including Redis Deep understanding and practical experience with streaming data pipeline framework including Kafka and Elasticsearch or OpenSearch. In-depth knowledge of cybersecurity principles, OWASP Top 10 vulnerabilities, and experience applying security best practices throughout the development lifecycle. Experience with source control analysis and interpreting penetration testing reports. Hands-on experience implementing and working with communication protocols such as HTTPS, MQTT, WebSocket, and WebRTC, as well as integrating caching solutions like Redis and building streaming data pipelines using Kafka. Expertise in designing scalable and secure RESTful APIs, including API versioning, documentation (OpenAPI/Swagger), and best practices for backward compatibility. Mastery of software engineering best practices: design patterns, multithreading, comprehensive design documentation, unit testing frameworks, code review processes. Demonstrated leadership experience, including leading complex software projects and mentoring engineers. Excellent problem-solving and communication skills. PREFERRED QUALIFICATIONS: Familiarity with video streaming protocols such as RTSP, WebRTC, and Low-Latency HLS. AWS Certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional). Experience with containerization technologies (Docker, Kubernetes). Experience with CI/CD pipelines and infrastructure-as-code (IaC) tools.

Job Title: Cloud Team Charter Job Type: Contract to Hire Work Schedule: Hybrid (3 days onsite, 2 days remote) Rate: $60. Based on experience Responsibilities: Cloud Team Charter/ Scope- 2 resources (1 Sr and 1 Mid/Jr) Operate and maintain Cloud Foundation Services, such as: Azure Policies Backup Engineering and Enforcement Logging Standard and Enforcement AntiVirus and Malware Enforcement Azure service/resources life cycle management, including retirement of resources Tagging enforcement Infrastructure Security Ownership of Defender reporting as it relates to Infrastructure. Collaboration with Cyber Security and App team to generate necessary reports for Infrastructure security review. Actively monitoring and remediating infrastructure vulnerability with App Team. Coordinate with the App team to address infrastructure vulnerabilities. Drive continuous improvement in Cloud Security by tracking/maintaining infrastructure vulnerabilities through Azure Security Center. Cloud Support: PaaS DB support Support for Cloud Networking (L2) and work with the Network team as needed Developer support in the Cloud. Support for the CMDB team to track the Cloud assets. L4 Cloud support for the enterprise. About Maxonic: Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients. Interested in Applying? Please apply with your most current resume. Feel free to contact Jhankar Chanda (******************* / ************ ) for more details.

Role-Thermal Engineer Work Auth: GC or USC only Thermal Engineer Contingent Worker Role Basic qualifications Bachelor's degree in mechanical engineering or related discipline, or equivalent experience. 3+ year experience with Thermal Desktop (SINDA) and/or Ansys thermal analysis tools (ICEPAK. Fluent, mechanical, etc.) 2+ year experience with test planning, test set-up (thermocouple and heater installation), operating DAQ and power supplies, results correlation and system verification for production Experience in documentation and writing test reports. Preferred qualifications Experience with avionics thermal design and analysis. CAD skills (NX or Solidworks). Experience with interpreting and correlating test data to thermal models. Specifics tasks that this individual will support are as follows: Kuiper Modem Module (0.5 Full-Time Equivalent (FTE) - 12 months) Provide design inputs to the mechanical and electrical teams. Complete thermal modeling analysis using Ansys analysis tools. Develop comprehensive thermal analysis documentation Develop thermal testing and qualification plan. Conduct thermal testing and model validation. Optical Communications Terminal v2 (OCT v2) (0.5 FTE - 12 months) Perform trade studies to select architecture of the electronic enclosures. Preliminary thermal analysis of printed circuit board assemblies. Collaborate with design team to develop preliminary designs. Define and execute development testing.

Must Have Technical/Functional Skills Designing, development, testing and deployment of Workday integrations using EIB, Core Connector,SSK, XSLT3.0 and Workday Studio. Experience in designing and developing complex reports as required for some integrations as well as testing and support. Roles & Responsibilities Designing, developing, and maintaining: Workday dashboards, apps, reports, and integrations Testing and troubleshooting: Workday integrations Collaborating with stakeholders: Define business requirements and pain points with stakeholders in finance, accounting, payroll, and legal contributing to data and analytics strategy: Contribute to and execute on the data and analytics strategy for human resources Integrating Workday: Integrate Workday with other technologies and vendor systems Building collateral: Participate in knowledge capture sessions and help build HP delivery collateral Adding new features: Contribute functional expertise to the Workday product team by adding new features and workflows Min 7+ Years of experience with Workday Integrations required which includes APIs, EIBs, PECI, PICOF, Workday Studio, Core Connector for Worker and other areas such as Procure to Pay, Accounting 5+ years in Workday Financials implementation and integration. 3+ years in a lead role managing integration projects. Sound understanding of one or more functional modules in Workday is preferred. Certifications in Integration Core, CCTPP and Studio are a plus. Excellent communication skills, both written and verbal. Ability to effectively present information to internal and external associates Demonstrated ability to organize and prioritize projects in a fast-paced and deadline-oriented business environment Generic Managerial Skills 3+ years in a lead role managing integration projects Salary Range $120,000 - $160,000 a Year

Senior Software Engineer - Ad Platform Machine Learning We're looking for a Senior Software Engineer to join our Ad Platform Decisioning & Machine Learning Platform team. Our mission is to power the Company's advertising ecosystem with advanced machine learning, AI-driven decisioning, and high-performance backend systems. We build end-to-end solutions that span machine learning, large-scale data processing, experimentation platforms, and microservices-all to improve ad relevance, performance, and efficiency. If you're passionate about ML technologies, backend engineering, and solving complex problems in a fast-moving environment, this is an exciting opportunity to make a direct impact on next-generation ad decisioning systems. What You'll Do Build next-generation experimentation platforms for ad decisioning and large-scale A/B testing Develop simulation platforms that apply state-of-the-art ML and optimization techniques to improve ad performance Design and implement scalable approaches for large-scale data analysis Work closely with researchers to productize cutting-edge ML innovations Architect distributed systems with a focus on performance, scalability, and flexibility Champion engineering best practices including CI/CD, design patterns, automated testing, and strong code quality Contribute to all phases of the software lifecycle-design, experimentation, implementation, and testing Partner with product managers, program managers, SDETs, and researchers in a collaborative and innovative environment Basic Qualifications 4+ years of professional programming and software design experience (Java, Python, Scala, etc.) Experience building highly available, scalable microservices Strong understanding of system architecture and application design Knowledge of big data technologies and large-scale data processing Passion for understanding the ad business and driving innovation Enthusiastic about technology and comfortable working across disciplines Preferred Qualifications Domain knowledge in digital advertising Familiarity with AI/ML technologies and common ML tech stacks Experience with big data and workflow tools such as Airflow or Databricks Education Bachelor's degree plus 5+ years of relevant industry experience Role Scope You'll support ongoing initiatives across the ad platform, including building new experimentation and simulation systems used for online A/B testing. Media industry experience is not required. Technical Environment Java & Spring Boot for backend microservices AWS as the primary cloud environment Python & Scala for data pipelines running on Spark and Airflow Candidates should be strong in either backend microservices or data pipeline development and open to learning the other API development experience is required Interview Process Round 1: Technical & coding evaluation (1 hour) Round 2: Technical + behavioral interview (1 hour) Candidates are assessed on technical strength and eagerness to learn.

We're looking for highly capable Senior Software Engineers to join a fast-paced, start-up-like environment within an exciting well-known brand. You'll be instrumental in building modern web applications using React and Node.js, with a strong focus on delivering scalable, high-performance APIs and robust data management via relational databases. This role is perfect for someone who thrives in ownership-driven environments, collaborates well with cross-functional teams, and can deliver high-quality code under tight timelines. Key Responsibilities: Design, build, and maintain modern single-page web applications using React (JavaScript/TypeScript) Develop backend APIs and services using Node.js with TypeScript, JavaScript, and Java Collaborate with team members, product managers, and designers to deliver new features and improvements Integrate with and manage relational databases to ensure data accuracy, performance, and scalability Write clean, maintainable code and contribute to peer reviews and documentation Participate in agile processes including sprint planning, standups, and retrospectives Troubleshoot, debug, and optimize application performance Communicate effectively across technical and non-technical teams Technical Skills: Required Proficient in TypeScript and JavaScript Strong hands-on experience building single-page applications, ideally React Strong understanding of relational databases such as PostgreSQL or MySQL Familiarity with Git and collaborative version control workflows Experience with Agile development tools (e.g., Jira, Confluence) Nice to Have Familiarity with cloud services, CI/CD, or containerization Working knowledge of Java for backend development Experience building and maintaining Node.js backend APIs Soft Skills Required: Self-motivated and able to work independently as well as collaboratively Strong problem-solving and debugging skills Excellent verbal and written communication Willingness to learn quickly and adapt to new technologies Detail-oriented with a passion for clean, readable, and efficient code Comfortable working in fast-paced, evolving environments Resourceful Education Required: B.S. Computer Science

Robert Half is partnering with a well known brand seeking an experienced Data Engineer with Databricks experience. Working alongside data scientists and software developers, you'll work will directly impact dynamic pricing strategies by ensuring the availability, accuracy, and scalability of data systems. This position is full time with full benefits and 3 days onsite in the Woodland Hills, CA area. Responsibilities: Design, build, and maintain scalable data pipelines for dynamic pricing models. Collaborate with data scientists to prepare data for model training, validation, and deployment. Develop and optimize ETL processes to ensure data quality and reliability. Monitor and troubleshoot data workflows for continuous integration and performance. Partner with software engineers to embed data solutions into product architecture. Ensure compliance with data governance, privacy, and security standards. Translate stakeholder requirements into technical specifications. Document processes and contribute to data engineering best practices. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 4+ years of experience in data engineering, data warehousing, and big data technologies. Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Must have experience in Databricks. Experience working within Azure or AWS or GCP environment. Familiarity with big data tools like Spark, Hadoop, or Databricks. Experience in real-time data pipeline tools. Experienced with Python