data engineer

data engineer iii

10607 – software engineer iii (data engineer) Jobs in Irvine

ai engineer

sr. data engineer

data center engineer

Moboware Inc.

Briviant Inc. seeks a reliable, detail-oriented Data Center Engineer to support day-to-day data center activities and hands-on hardware build work. This role is ideal for someone with previous data center experience. This role is onsite at our Irvine, CA office. Key ResponsibilitiesData Center Operations<ul><li>Support daily data center operations, including monitoring equipment and responding to basic alerts or requests</li><li>Perform rack-and-stack of servers, network equipment, and related hardware</li><li>Assist with cable management (power and network) to maintain clean and organized racks</li><li>Conduct routine hardware checks and visual inspections</li><li>Support asset tracking, labeling, and inventory updates</li><li>Follow established safety, security, and change-management procedures</li></ul>Build Technician / Hardware Support<ul><li>Assemble, configure, and stage servers and related hardware components on Mac devices</li><li>Install and replace hardware components (e.g., drives, memory, power supplies)</li><li>Perform basic hardware diagnostics and troubleshooting</li><li>Prepare systems for deployment, decommissioning, or return (including wiping and packaging)</li><li>Document build steps and issues according to internal standards</li></ul>Required Qualifications<ul><li>Experience with computer hardware (Mac OS), servers, or IT infrastructure (professional, academic, or lab-based)</li><li>Previous experience working in a physical data center environment</li><li>Ability to lift and move equipment (up to ~40&ndash;50 lbs)</li><li>Strong attention to detail and ability to follow documented procedures</li><li>Reliable, punctual, and able to work independently once trained</li></ul>Preferred Qualifications<ul><li>Prior experience in a data center, IT operations, or hardware build role</li><li>Familiarity with server components, rack systems, and structured cabling</li></ul>What We Offer<ul><li>Flexible part-time schedule or full time-schedule</li><li>Hands-on experience with enterprise infrastructure</li><li>Opportunity to grow technical and operational skills</li><li>Supportive team environment</li></ul>Pay: $28.00 - $40.00 per hourBenefits:<ul><li>401(k)</li><li>Dental insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Work Location: In person

Data Center Engineer

Dynaflex Technologies

Compensation<ul><li>Base Salary: $54,000 annually (post-probation)</li><li>Ramp Period (First 3 Months): structured training with reduced base (~$40,800 annualized)</li><li>Additional Compensation: Commission, Performance Bonus, Benefits (medical, dental, vision, PTO</li></ul>This is a full-time, entry-level Sales Engineer role designed for individuals seeking a long-term career in med-tech. The first 3 months are a high-intensity probation period focused on performance, learning speed, and ownership. You will contribute to real customer work from day one. Evaluation based on technical learning speed, communication, work ethic, and ownership. Top performers transition into long-term rolesWhat We&rsquo;re Looking For<ul><li>Relentless follow-through</li><li>Technical curiosity</li><li>Commercial instinct</li><li>Coachability under pressure</li></ul>Basic Qualifications<ul><li>Bachelor&rsquo;s degree or equivalent experience</li><li>0&ndash;2 years experience (sales, engineering, or technical environment)</li></ul>Dynaflex is a medical device component manufacturer looking for responsible and hardworking individuals to join our growing team. We aim to make a difference in this world by making quality and innovative medical catheters/extrusion to improve patient outcomes. This is a family owned business and all our employees treat each other with care and respect. We believe that employees are part of a family instead of just numbers. Lots of opportunities to grow as we are a multinational operation with facilities in Northern California, Southern California, and Taiwan.We specialize in the areas including Neurovascular Coil Delivery, Heart Valve Repair and Replacement Catheter System, Steerable EP Catheters and Sheaths, Balloon and Self Expanding Stent Delivery Systems.We are looking for a motivated and well-spoken Sales Engineer to join our team. The Sales Engineer will be responsible for developing new leads, communicating with customers, understanding their needs, and ensuring a smooth sales process.To be successful as Sales Engineer, you should be able to build instant rapport and achieve customer satisfaction. Knowledge of medical devices, research and analytical skills, and the ability to explain clearly are highly desired skills.Sales Engineer Responsibilities:<ul><li>Serve customers by identifying their needs and engineering adaptations of products, equipment, and services.</li><li>Identify current and future customer service requirements by establishing personal rapport with potential and actual customers and others in a position to understand service requirements.</li><li>Provide product, service, or equipment technical and engineering information by answering questions and requests.</li><li>Establish new accounts by identifying potential customers and planning and organizing sales call schedules.</li><li>Prepare cost estimates by studying all related customer documents, consulting with engineers and other professional personnel.</li><li>Determine improvements by analyzing cost-benefit ratios of equipment, supplies, or service applications in customer environment and engineering or proposing changes in equipment, processes, or use of materials or services.</li><li>Gain customer acceptance by explaining or demonstrating cost reductions and operations improvements.</li><li>Prepares sales engineering reports by collecting, analyzing, and summarizing sales information and engineering and application trends.</li><li>Contribute to sales engineering effectiveness by identifying short-term and long-range issues that must be addressed, recommend options and courses of action, and implementing directives.</li><li>Contribute to team effort by accomplishing related results as needed.</li></ul>Sales Engineer Qualifications / Skills:<ul><li>Problem solving</li><li>Product knowledge</li><li>Selling to customer needs</li><li>Software requirements</li><li>Product development</li><li>Presentation skills</li><li>Technical understanding</li><li>Verbal communication</li><li>Requirements analysis</li><li>Innovation</li></ul>Sales Engineer Requirements:<ul><li>Bachelor&rsquo;s degree in Engineering preferred (Biomedical, Industrial, Mechanical, or Electrical), or equivalent industry experience</li><li>Previous experience in an outbound call center or a related sales position preferred.</li><li>Proficiency in Microsoft Office</li><li>Ability to read and understand documents</li><li>Ability to communicate needs and follow up</li><li>Attention to detail</li><li>Ability to work with sensitive material</li><li>Seeking someone who is driven, communicates well, has a good hardworking attitude.</li></ul>Job Type: Full-timePay: From $54,000.00 per yearBenefits:<ul><li>Dental insurance</li><li>Health insurance</li><li>Paid time off</li></ul>People with a criminal record are encouraged to applyWork Location: In person

Sales Engineer (Medical Devices)

Taco Bell

<div>
 
 Who is Taco Bell?
 
 
 
 Taco Bell was born and raised in California and has been around since 1962. We went from selling everyone&rsquo;s favorite Crunchy Tacos on the West Coast to a global brand with 8,500+ restaurants, 350 franchise organizations, that serve 42+ million fans each week around the globe. We&rsquo;re not only the largest Mexican-inspired quick service brand (QSR) in the world, we&rsquo;re also part of the biggest restaurant group in the world: Yum! Brands.
 
 
 Much of our fan love and authentic connection with our communities are rooted in being rebels with a cause. From ensuring we use high quality, sustainable ingredients to elevating restaurant technology in ways that hasn&rsquo;t been done before&hellip; we will continue to be inclusive, bold, challenge the status quo and push industry boundaries.
 
 
 We&rsquo;re a company that celebrates and advocates for different, has bold self-expression, strives for a better future, and brings the fun while we&rsquo;re at it. We fuel our culture with real people who bring unique experiences. We inspire and enable our teams and the world to Live M&aacute;s.
 
 
 At Taco Bell, we&rsquo;re Cultural Rebels. Want to join in on the passion-fueled fun? Learn more about the career below.
 
 
 
 About The Job
 
 
 
 Taco Bell is seeking to add a savvy Data Engineer to join our growing Data and Analytics team. We are looking for a self-driven Data Engineer proficient with SQL &amp; ETL pipelines who is familiar with Cloud technology preferably AWS and has scripting experience. You will work with cross functional partners and third-party vendors to enrich our customer data assets by acquiring, organizing, and aggregating customer data from various sources to construct a full and accurate 360 view of our customer for use in direct/email marketing, targeted media campaigns and analytics. You will build data pipelines to source, analyze and validate data from internal and external customer data sources. This is a great opportunity to work on state-of-the-art data products in a friendly and fun environment.
 
 
 
 Day To Day
 
 
 
 
 <ul>
 <li>
 Design and develop highly scalable and extensible data pipelines from internal and external sources using cloud technology such as AWS, Airflow, Redshift, Snowflake, EMR, DBT.
 </li>
 <li>
 Implement new source of truth datasets, in partnership with analytics and business teams.
 </li>
 <li>
 Collaborate with data product managers, data scientists, data analysts, and data engineers to document requirements and data specifications.
 </li>
 <li>
 Develop, deploy, and maintain serverless data pipelines using Event Bridge, Kinesis, AWS Lambda, S3, and Glue.
 </li>
 <li>
 Focus on performance tuning, optimization and scalability to ensure efficiency.
 </li>
 <li>
 Build out a robust big data ingestion framework with automation, self-heal capabilities and ability to handle data drifts.
 </li>
 <li>
 Adopt automated and manual test strategies to ensure data product quality
 </li>
 <li>
 Learn and understand how Taco Bell products work and help build end-to-end solutions.
 </li>
 <li>
 Ensure high operational efficiency and quality of your solutions to meet SLAs.
 </li>
 <li>
 Actively participate in code reviews and summarize complex data into usable, digestible datasets.
 
 
 
 </li>
 </ul>
 
 Is This You?
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in analytics, statistics, engineering, math, economics, computer science, information technology or related discipline
 </li>
 <li>
 2+ years professional experience in cloud technologies
 </li>
 <li>
 2 - 5 years of experience designing and delivering large scale, 24-7, mission-critical data pipelines and features using modern cloud data architectures
 </li>
 <li>
 2+ years of hands-on experience in Strong coding skills with Python/Pyspark/Spark and SQL
 </li>
 <li>
 3+ years of hands-on experience in ETL pipeline such as Informatica, AWS Glue, DBT etc.
 </li>
 <li>
 3+ years of experience working in Redshift, Snowflake or other relevant databases.
 </li>
 <li>
 Expert knowledge in writing complex SQL and ETL development with experience processing extremely large datasets using batch and real time streaming.
 </li>
 <li>
 Demonstrated ability to analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions
 </li>
 <li>
 Experience integrating data using streaming technologies such as Kinesis Firehose, Kafka
 </li>
 <li>
 Experience with AWS Ecosystem, especially Lambda, Redshift, Athena, DynamoDB, Airflow and S3
 </li>
 <li>
 Experience integrating data from multiple data sources and file types such as JSON, Parquet, Iceberg formats.
 </li>
 <li>
 Experience supporting and working with cross-functional teams in a dynamic environment
 </li>
 <li>
 Strong quantitative and communication skill
 </li>
 <li>
 Experience with CI/CD tools like Gitlab, Terraform
 </li>
 <li>
 Good To Have:
 </li>
 <li>
 Proficiency with automated testing using tools like pytest
 </li>
 <li>
 Experience contributing to full lifecycle deployments with a focus on testing and quality.
 </li>
 <li>
 Experience with data quality processes, data quality checks, validations, data quality metrics definition and measurement
 </li>
 <li>
 Experience in data quality tools such as Informatica DQ or similar.
 
 
 
 </li>
 </ul>
 
 Work-Hard, Play-Hard
 
 
 
 
 <ul>
 <li>
 Hybrid work schedule (onsite expectation Tues, Wed, Thurs) and year-round flex day Friday
 </li>
 <li>
 Onsite childcare through Bright Horizons
 </li>
 <li>
 Onsite dining center and game room (yes, there is a Taco Bell inside the building)
 </li>
 <li>
 Onsite dry cleaning, laundry services, carwash,
 </li>
 <li>
 Onsite gym with fitness classes and personal trainer sessions
 </li>
 <li>
 Up to 4 weeks of vacation per year plus holidays and time off for volunteering
 </li>
 <li>
 Generous parental leave for all new parents and adoption assistance program
 </li>
 <li>
 401(k) with a 6% matching contribution from Yum! Brands with immediate vesting
 </li>
 <li>
 Comprehensive medical &amp; dental including prescription drug benefits and 100% preventive care
 </li>
 <li>
 Discounts, free food, swag and&hellip; honestly, too many good benefits to name
 
 
 
 </li>
 </ul>
 Salary Range: $108,300- $127,500 annually + bonus eligibility. This is the expected salary range for this position. Ultimately, in determining pay, we'll consider the successful candidate&rsquo;s location, experience, and other job-related factors.
 
 
 At Taco Bell, we Live M&aacute;s and invite you to do the same. Take a seat at our table. Bring your voice. Bring you, just as you are, a Cultural Rebel. We want you to be your best self!
 
 
 Taco Bell is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic.
 
 
 Taco Bell is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.
 
 
 US Job Seekers/Employees - To view the "Know Your Rights" poster, click here. You may also access Taco Bell&rsquo;s Pay Transparency Policy Statement.
 
 
 Employment eligibility to work with Taco Bell in the U.S. is required as the company will not pursue visa sponsorship for this position.
 
 
 California Residents: For more information about the categories of personal information we collect from you and how we use, sell, and share that information, please see our Privacy Notice for California Employees here.
</div>

Data Engineer III

Commercial Bank of California

<div>
 
 
 Data Engineer
 
 
 
 
 Location:
 
 Irvine, CA
 
 
 
 Job Type:
 
 Full-Time | Exempt | Hybrid Eligible
 
 
 
 Salary Range:
 
 $150,000 &ndash; $170,000 per year
 
 
 
 
 
 
 About Commercial Bank of California
 
 
 
 Commercial Bank of California (CBC) is the largest Latino-owned bank in California and a certified Minority Depository Institution (MDI). Headquartered in Irvine and founded in 2003, CBC is one of the largest privately held banks in the state, with over $3.5 billion in assets as of December 2025.
 
 
 We are a purpose-driven financial institution committed to building long-term relationships and delivering innovative, personalized banking solutions. Our leadership reflects the diverse communities we serve, and our mission is rooted in empowering entrepreneurs, business owners, and community leaders to thrive.
 
 
 As a certified MDI, CBC is proud to play a vital role in advancing financial inclusion and economic opportunity. We believe in a higher vision for banking&mdash;one that prioritizes trust, collaboration, and community impact. Join us and be part of a team that&rsquo;s redefining what it means to be a community-focused, relationship-driven bank that puts people over profits.
 
 
 
 
 
 
 Job Summary
 
 
 
 The Data Engineer is responsible for designing, building, and operating modern, scalable, and governed data platforms that enable enterprise analytics, reporting, and advanced data use cases. With 10+ years of hands on data engineering experience, this role acts as a senior individual contributor and technical leader, owning data architecture, pipelines, governance, and analytics ready data models across cloud platforms.
 
 
 This role has a strong emphasis on analytics engineering, ensuring that data is not only ingested and processed, but modeled, curated, and governed for high quality business intelligence and analytical consumption. You will work extensively with Microsoft Fabric, Azure Databricks, Unity Catalog, and lakehouse technologies.
 
 
 
 
 
 
 Essential Duties and Responsibilities
 
 
 
 Data Platform &amp; Architecture
 
 <ul>
 <li>
 Architect and maintain enterprise‑scale data platforms using Microsoft Fabric, Azure Data Lake, Azure Synapse, and Azure Databricks.
 </li>
 <li>
 Design and implement lakehouse architectures and analytics‑optimized data layers to support BI, self‑service analytics, and advanced reporting.
 </li>
 <li>
 Define platform standards for data ingestion, transformation, storage, and analytics consumption across the organization.
 </li>
 </ul>
 
 Data Engineering &amp; Pipelines
 
 <ul>
 <li>
 Build, optimize, and operate reliable batch and streaming data pipelines using Databricks, Fabric Data Pipelines, and Azure‑native services.
 </li>
 <li>
 Implement scalable ETL/ELT frameworks with strong data quality, validation, and observability.
 </li>
 <li>
 Ensure pipelines are resilient, performant, and cost‑efficient in production environments.
 </li>
 </ul>
 
 Analytics Engineering &amp; Data Modeling
 
 <ul>
 <li>
 Design and maintain analytics‑ready data models (star, snowflake, and dimensional models) to support Power BI and enterprise BI use cases.
 </li>
 <li>
 Develop curated, trusted datasets and semantic layers that enable consistent metrics and reporting across the business.
 </li>
 <li>
 Partner closely with analysts, BI developers, and business stakeholders to translate analytical requirements into scalable data solutions.
 </li>
 </ul>
 
 Governance, Security &amp; Unity Catalog
 
 <ul>
 <li>
 Implement and manage Databricks Unity Catalog for centralized data governance, lineage, access control, and auditing.
 </li>
 <li>
 Enforce best practices for data security, role‑based access, and data classification across platforms.
 </li>
 <li>
 Ensure compliance with enterprise data governance and regulatory requirements.
 </li>
 </ul>
 
 DevOps, CI/CD &amp; Reliability
 
 <ul>
 <li>
 Design and manage CI/CD pipelines for data engineering workloads using Azure DevOps.
 </li>
 <li>
 Apply best practices for version control, automated testing, environment promotion, and deployment.
 </li>
 <li>
 Monitor production data systems to ensure high availability and operational stability.
 </li>
 <li>
 Experience in databricks asset bundles (DAB) is preferred
 </li>
 </ul>
 
 Cross‑Platform &amp; Modern Analytics Experience
 
 <ul>
 <li>
 Work across modern analytics ecosystems, integrating Azure‑based platforms with other cloud data technologies as needed.
 </li>
 <li>
 Leverage experience with Snowflake (architecture, data modeling, performance optimization) as a plus in hybrid or multi‑platform analytics environments.
 </li>
 </ul>
 
 
 
 
 
 Minimum Qualifications
 
 
 <ul>
 <li>
 10+ years of experience in data engineering, analytics engineering, or data platform development.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or a related field (Master&rsquo;s preferred).
 </li>
 <li>
 Deep hands‑on experience with:
 </li>
 <li>
 Microsoft Fabric (Lakehouse, OneLake, Data Pipelines, Semantic Models)
 </li>
 <li>
 Azure Databricks, including Unity Catalog
 </li>
 <li>
 Data modeling for analytics and BI
 </li>
 <li>
 Azure DevOps (CI/CD, Git, automated deployments)
 </li>
 <li>
 Business Intelligence platforms, especially Power BI
 </li>
 <li>
 Advanced proficiency in SQL and strong experience with Python / Spark‑based development.
 </li>
 <li>
 Proven ability to deliver analytics‑ready, production‑grade data solutions.
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with Snowflake (data modeling, analytics workloads, performance tuning) a plus.
 </li>
 <li>
 Background in financial services or regulated enterprise environments.
 </li>
 <li>
 Experience supporting self‑service analytics and governed data democratization.
 </li>
 <li>
 Snowflake experience considered a strong plus.
 </li>
 <li>
 Familiarity with data quality, metadata management, and lineage tooling.
 </li>
 <li>
 Microsoft certifications such as:
 </li>
 <li>
 Azure Data Engineer Associate (DP‑203)
 </li>
 <li>
 Microsoft Fabric Analytics Engineer (preferred)
 </li>
 </ul>
 
 
 
 
 
 Benefits &amp; Perks
 
 
 <ul>
 <li>
 Competitive employer contribution to medical, dental and vision coverage
 </li>
 <li>
 401k plan with employer match
 </li>
 <li>
 Flexible Spending Accounts (FSA) and Dependent Care Accounts
 </li>
 <li>
 Employee Assistance Program (EAP)
 </li>
 <li>
 Employer provided Calm subscription
 </li>
 <li>
 Employer provided mental health benefits through Teladoc
 </li>
 <li>
 Life, AD&amp;D and disability insurance
 </li>
 <li>
 Minimum 15 Days of Vacation, 11 Paid Federal Holidays, Paid Time off to Volunteer
 </li>
 <li>
 Online discount program
 </li>
 <li>
 Tuition Reimbursement Program
 </li>
 </ul>
 
 
 Join Our Team!
 
 
 <ul>
 <li>
 Submit your resume to Apply to Your Position Here
 </li>
 </ul>
 
 
 Equal Employment Opportunity &amp; Accommodations
 
 
 
 Commercial Bank of California is proud to be an Equal Employment Opportunity employer. We are committed to creating an inclusive environment for all employees and applicants. All qualified individuals will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other legally protected characteristic.
 
 
 We evaluate applicants fairly and equitably, including those with criminal histories, in accordance with applicable federal, state, and local laws.
 
 
 Commercial Bank of California is also committed to providing reasonable accommodations to individuals with disabilities. If you require a reasonable accommodation during the application or interview process, please contact us at
 
 hr@cbcal.com
 
 with the nature of your request and your contact information.
 
 
 
 
 
 
 Recruitment Policy
 
 
 
 Commercial Bank of California does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to CBC, either directly or indirectly, will be considered the property of Commercial Bank of California.
 
 
 We will not pay a fee for any placement resulting from the receipt of an unsolicited resume. To submit candidates for consideration, recruiting agencies must have a valid, written, and fully executed agreement with Commercial Bank of California. Without such an agreement in place, no agency submissions will be accepted or compensated.
 
 
 
 
</div>

Data Engineer

Hyundai AutoEver America

<div>
 
 10607 &ndash; Software Engineer III (Data Engineer), Irvine, CA
 
 
 
 
 Company Overview
 
 
 
 Hyundai AutoEver America (HAEA) is the dynamic IT powerhouse behind Hyundai Motor Corporation, a Fortune 500 global leader in the automotive industry. As a key affiliate, we provide cutting-edge IT services and support to top brands including Kia, Genesis, Hyundai Translead, Hyundai Mobis, Hyundai Capital, and Glovis.
 
 
 HAEA offers a truly global and collaborative environment. Here, you&rsquo;ll drive innovation, boost operational efficiency, and help shape the future of mobility for the Hyundai Motor Group.
 
 
 At HAEA, we understand that IT is the cornerstone of today&rsquo;s fast-evolving digital world. By uniting all IT resources under one roof, we deliver consistent, top-quality solutions while serving as the crucial information link between Hyundai&rsquo;s Global Headquarters and North American operations.
 
 
 If you&rsquo;re passionate about technology and eager to make a real impact at a world-class company, Hyundai AutoEver America is the place to grow your career. Join us and be part of the transformation that&rsquo;s driving the future of automotive innovation.
 
 
 
 Role Overview
 
 
 
 We are seeking a motivated and detail-oriented Data Engineer to join our data engineering team. The role focuses on developing workflow automation using Apache Airflow and building scalable data pipelines. You will collaborate with data scientists, analysts, and engineering teams to ensure seamless data integration and optimize data-driven processes.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data pipelines and ETL processes to transform and integrate data from multiple sources.
 </li>
 <li>
 Develop workflow automation using Apache Airflow and manage production batches with performance tuning.
 </li>
 <li>
 Create and optimize data models, schemas, and database structures for scalability and efficiency.
 </li>
 <li>
 Implement best practices in data warehouse and MDM applications, ensuring data governance, security, and quality.
 </li>
 <li>
 Collaborate with data scientists, analysts, and business stakeholders to translate requirements into technical solutions.
 </li>
 <li>
 Develop scripts and automation tools to streamline data processing and pipeline operations.
 </li>
 <li>
 Implement automated monitoring, alerting systems, and maintain documentation for pipelines and data models.
 </li>
 <li>
 Create reports and visualizations to communicate pipeline performance and data insights.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
 <li>
 10+ years of experience in data warehouse and MDM applications.
 </li>
 <li>
 Extensive knowledge of SQL and relational databases.
 </li>
 <li>
 Strong programming skills in Python and PL/SQL.
 </li>
 <li>
 10+ years of experience working with Informatica.
 </li>
 <li>
 Knowledge of Informatica IDMC and PowerCenter is a must.
 </li>
 <li>
 Knowledge of big data technologies such as Apache Spark, Hadoop, or equivalent cloud-based services.
 </li>
 <li>
 Strong understanding of data governance, security, and quality practices in cloud environments.
 
 
 </li>
 </ul>
 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 employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
 
 
 Salary Range - $96,500 to $138,061
 
 
 In addition to a competitive salary, this position offers a fantastic benefits package that includes comprehensive medical/dental coverage, generous PTO, education assistance, and annual merit increase eligibility in a growth-focused work environment.
 
 
 Team Culture:
 
 
 Our team thrives on collaboration, innovation, and continuous learning. We foster a supportive environment where every member is encouraged to share ideas and contribute to problem-solving. We value:
 
 
 <ul>
 <li>
 Passion for Technology: We are enthusiastic about emerging technologies and their potential to transform the automotive industry.
 </li>
 <li>
 Agility: We work in an agile environment, adapting quickly to changes and continuously improving our processes.
 </li>
 <li>
 Teamwork: We believe in the power of teamwork and collaboration, supporting each other to achieve common goals.
 </li>
 <li>
 Growth: We prioritize personal and professional growth, offering opportunities for learning and development.
 </li>
 <li>
 Inclusivity: We maintain an inclusive culture where diverse perspectives are valued, and everyone feels welcome.
 
 
 </li>
 </ul>
 
 Our Company adheres to the equal employment opportunity guidelines set forth by federal, state and local laws. The information requested on this form is sought in good faith and will not be used to discriminate against the applicant based on race, religion or creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic characteristics, marital status, sex or gender (which includes pregnancy, childbirth, or related circumstances), gender identity, gender expression, age, citizenship, sexual orientation, family care or medical leave status, military and veteran status, political affiliation, or any other characteristic protected by federal, state and local laws.
 
</div>

10607 – Software Engineer III (Data Engineer)

Robert Half

<div>
 
 🚀
 
 Data Engineer (2 Openings) | Healthcare Data | $120K&ndash;$150K | SoCal (Hybrid/Onsite)
 
 
 
 I&rsquo;m partnering with a
 
 stable, mission-driven organization in the healthcare space
 
 that is investing heavily in its data infrastructure and analytics capabilities. We&rsquo;re hiring
 
 two Data Engineers
 
 to help build and scale modern data pipelines while supporting critical business insights across the organization.
 
 
 
 
 
 This is a great opportunity for someone who enjoys working across both
 
 data engineering and analytics
 
 , with visibility into high-impact projects and the ability to influence how data is used across the business.
 
 
 
 
 
 🔧
 
 What You&rsquo;ll Be Doing:
 
 
 <ul>
 <li>
 Design, build, and maintain scalable data pipelines (ETL/ELT)
 </li>
 <li>
 Support and optimize a cloud-based data environment (Microsoft stack)
 </li>
 <li>
 Partner with business stakeholders to deliver actionable insights
 </li>
 <li>
 Develop and maintain data models for reporting and analytics
 </li>
 <li>
 Improve data quality, governance, and accessibility
 </li>
 <li>
 Collaborate with engineering and analytics teams to bring new data initiatives into production
 </li>
 </ul>
 
 
 
 
 🧠
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 
 3&ndash;10 years of experience
 
 in Data Engineering, BI, or Analytics
 </li>
 <li>
 
 Strong T-SQL and Python experience (both required)
 
 </li>
 <li>
 Proven experience building and maintaining data pipelines (ETL/ELT)
 </li>
 <li>
 Experience with
 
 Power BI, SSRS, or similar reporting tools
 
 </li>
 <li>
 Exposure to
 
 Azure (ADF, Synapse, or Microsoft Fabric is a plus)
 
 </li>
 <li>
 Solid understanding of data modeling and data architecture
 </li>
 <li>
 Ability to work cross-functionally and communicate with non-technical teams
 </li>
 </ul>
 
 
 
 
 💡
 
 Nice to Have:
 
 
 <ul>
 <li>
 Experience in healthcare, insurance, or regulated environments
 </li>
 <li>
 Familiarity with data governance and compliance (HIPAA a plus)
 </li>
 </ul>
 
 
 
 
 💰
 
 Compensation &amp; Details:
 
 
 <ul>
 <li>
 Salary range:
 
 $120K&ndash;$150K base
 
 (depending on experience)
 </li>
 <li>
 
 2 openings
 
 &ndash; team is actively growing
 </li>
 <li>
 Stable, long-term opportunity with strong leadership support
 </li>
 <li>
 Hybrid/onsite role in Southern California
 </li>
 </ul>
 
 
 
 
 If you&rsquo;re someone who enjoys
 
 building, improving, and owning data pipelines
 
 while working closely with the business, I&rsquo;d love to connect.
 
</div>

Arch Telecom

<div>We&rsquo;re a national Wireless Preferred Retailer for the #1 Mobile provider in the country, with 200+ retail stores across the U.S. Since &lsquo;93, we&rsquo;ve been providing superior service and quality wireless products featuring the latest in technology. As a recognized leader in the wireless retail industry, we consistently deliver the solutions and service our customer&rsquo;s demand!
We are looking for a motivated and innovative AI Engineer with 4 yrs of full-time experience in Machine Learning and AI Automation to join our growing team at Arch Telecom. This role is ideal for someone passionate about building intelligent systems, working with data, and applying machine learning or AI solutions to real-world business problems.
Key Responsibilities<ul><li>
Develop, test, and deploy AI/ML models to support business initiatives</li><li>
Work with structured and unstructured data to build predictive and analytical solutions</li><li>
Collaborate with cross-functional teams to integrate AI solutions into existing systems</li><li>
Assist in designing and implementing NLP, computer vision, or automation solutions (as applicable)</li><li>
Optimize model performance and ensure scalability</li><li>
Stay up to date with emerging AI technologies and best practices</li></ul>
Required Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or related field</li><li>
4+ years of hands-on experience in AI/ML development</li><li>
Proficiency in Python and libraries such as TensorFlow, PyTorch, or Scikit-learn</li><li>
Experience with data processing tools (Pandas, NumPy, etc.)</li><li>
Basic understanding of machine learning algorithms and model evaluation techniques</li><li>
Familiarity with APIs and integrating AI models into applications</li></ul>
Preferred Qualifications<ul><li>
Experience with NLP, LLMs, or generative AI tools</li><li>
Exposure to cloud platforms (AWS, Azure, or GCP)</li><li>
Knowledge of SQL and database systems</li><li>
Experience with version control (Git) and MLOps practices</li></ul>
Apply Now: www.archtelecom.net
Inquiries: Recruiting@archtelecom.net
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