MUST ANSWER<ol> <li>On what projects have you designed and developed scalable and reliable backend services, APIs, and microservices using AWS?</li> <li>Explain your experience designing and managing databases and data storage solutions using AWS services like RDS, DynamoDB, S3, and Redshift?</li> <li>Experience implementing serverless architecture using AWS Lambda, API Gateway, and other AWS managed services? What projects/Project Scope</li> <li>Where are you located - City and State?</li> <li>Are you open to a perm role after 6 months?</li> <li>Are you working through an employer or independent? If employer provide their information. </li></ol> Skills: <ul> <li>Implement serverless architectures.</li> <li>Design and manage databases and data storage solutions using AWS services like RDS, DynamoDB, S3, and Redshift.</li> <li>RESTful APIs </li></ul>Requirements Architecture and Development: Design and Implementation: Design and develop scalable and reliable backend services, APIs, and microservices using AWS. Implement serverless architectures using AWS Lambda, API Gateway, and other AWS managed services. Data Management: Design and manage databases and data storage solutions using AWS services like RDS, DynamoDB, S3, and Redshift. Optimize data storage and retrieval processes for performance and cost-efficiency. Integration and APIs: Develop and maintain RESTful APIs and integrate third-party services using AWS API Gateway and other tools. Ensure seamless communication between front-end applications and backend services. Cloud Infrastructure and Operations: Infrastructure Management: Use Infrastructure as Code (IaC) tools such as AWS CloudFormation or Terraform to automate the deployment and management of AWS resources. Monitor and maintain AWS infrastructure, ensuring high availability, performance, and security. Security and Compliance: Implement security best practices, including managing IAM roles and permissions, encrypting data, and securing APIs. Ensure compliance with industry standards and regulations. Continuous Integration/Continuous Deployment (CI/CD): Set up and maintain CI/CD pipelines using AWS tools like CodePipeline, CodeBuild, and CodeDeploy. Automate testing, deployment, and scaling processes to ensure fast and reliable delivery of applications.

Senior Data Engineer - Long Term Project - Glendale, CA (Hybrid) Title: Senior Data Engineer Location: Glendale, CA (Hybrid) Duration: Long Term Project Compensation:$90-100/hr. Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Description/Comment: As a Senior Data Engineer, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you're passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization. Key Responsibilities:<ul> <li>Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines</li> <li>Build tools and services to support data discovery, lineage, governance, and privacy</li> <li>Collaborate with other software/data engineers and cross-functional teams</li> <li>Build and maintain APIs to expose data to downstream applications</li> <li>Develop real-time streaming data pipelines</li> <li>Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Graph Database, Kafka</li> <li>Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform</li> <li>Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more</li> <li>Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)</li> <li>Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team</li> <li>Maintain detailed documentation of your work and changes to support data quality and data governance requirements</li> <li>Address urgent production issues on timely manner during non standard working hours</li> <li>Experience working with studio production dat plus</li></ul> Basic Qualification:<ul> <li>7+ years of data engineering experience developing large data pipelines</li> <li>Proficiency in at least one major programming language (e.g. Python, Java, Kotlin)</li> <li>Strong SQL skills and ability to create queries to analyze and extract complex datasets</li> <li>Hands-on production environment experience with distributed processing systems such as Spark</li> <li>Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines</li> <li>Deep Understanding of AWS or other cloud providers as well as infrastructure as code</li> <li>Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices</li> <li>Strong algorithmic problem-solving expertise</li> <li>Excellent written and verbal communication</li> <li>Advance understanding of OLTP vs OLAP environments</li> <li>Willingness and ability to learn and pick up new skill sets</li> <li>Self-starting problem solver with an eye for detail and excellent analytical and communication skills</li> <li>Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling</li> <li>Graph Database experience a plus</li> <li>Realtime Event Streaming experience a plus</li> <li>Familiar with Scrum and Agile methodologies</li> <li>Bachelor's Degree in Computer Science, Information Systems equivalent industry experience</li></ul> Required Education: BA/BS Degree Comp Sci/IS or related field Our benefits package includes: <ul> <li>Comprehensive medical benefits</li> <li>Competitive pay</li> <li>401(k) retirement plan</li> <li>...and much more!</li></ul> About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

City:  Glendale, CA
Onsite/ Hybrid/ Remote:  Onsite, 3-4 days a week
Duration:  18 months
Rate Range:  $107/hr on  W2  depending on experience (no C2C or 1099 or sub-contract)
Work Authorization:  GC, USC, All valid EADs except H1b
Must haves:
1) Airflow and Spark
2) Snowflake or Databricks
3) Data Modeling
Additional Notes: Netflix background would be perfect or content related experience is ideal.
Description:
As a Senior Data Engineer at The Studios, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you're passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization.
Key Responsibilities:
Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
Build tools and services to support data discovery, lineage, governance, and privacy
Collaborate with other software/data engineers and cross-functional teams
Build and maintain APIs to expose data to downstream applications
Develop real-time streaming data pipelines
Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Graph Database, Kafka
Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)
Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
Maintain detailed documentation of your work and changes to support data quality and data governance requirements
Address urgent production issues on timely manner during non standard working hours
Experience working with studio production data a plus
Basic Qualifications:
7+ years of data engineering experience developing large data pipelines
Proficiency in at least one major programming language (e.g. Python,Java, Kotlin)
Strong SQL skills and ability to create queries to analyze and extract complex datasets
Hands-on production environment experience with distributed processing systems such as Spark
Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
Deep Understanding of AWS or other cloud providers as well as infrastructure as code
Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
Strong algorithmic problem-solving expertise
Excellent written and verbal communication
Advance understanding of OLTP vs OLAP environments
Willingness and ability to learn and pick up new skill sets
Self-starting problem solver with an eye for detail and excellent analytical and communication skills
Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling
Graph Database experience a plus
Realtime Event Streaming experience a plus
Familiar with Scrum and Agile methodologies
Bachelor's Degree in Computer Science, Information Systems equivalent industry experience

Disney Entertainment & ESPN Technology

On any given day at Disney Entertainment & ESPN Technology, we are reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that is evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you would love working for Disney Entertainment & ESPN Technology

• Building the future of Disney’s media business: DE&E (Disney Entertainment & ESPN) Technologists are designing and building the infrastructure that will power Disney’s media, advertising, and distribution businesses for years to come.
• Reach & Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

The vision of the Machine Learning (ML) Engineering team at Disney is to drive and enable ML usage across several domains in heterogeneous language environments and at all stages of a project’s life cycle, including ad-hoc exploration, preparing training data, model development, and robust production deployment. The team is invested in continual innovation on the ML infrastructure itself to carefully orchestrate a continuous cycle of learning, inference, and observation while also maintaining high system availability and reliability. We seek to maximize the positive business impact of all ML at Disney streaming by supporting key product functions like personalization and recommendation, fraud and abuse prevention, capacity planning, subscriber growth and lifecycle intelligence, and so on. In this role you will work on event and context processors to federate data, infrastructure and tooling to enable event-driven ML pipelines. You will own and expand part of our central feature store that powers ML use cases in domains like recommendations, search and fraud. You will work on cross-functional projects and push the envelope on data and ML infrastructure.

Responsibilities:

• Develop and improve feature store tooling and services, and contribute to the ML infrastructure development
• Collaborate with ML practitioners to build streaming data ecosystem
• Develop low-latency services to enable and support event-driven pipelines
• Ability to work on multi-faceted projects with engineers from diverse backgrounds, heterogenous skills and across teams
• Drive and maintain a culture of quality, innovation and experimentation
• Work in an Agile environment that focuses on collaboration and teamwork

Basic Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience
• 7+ years of software experience working in large scale, real-time distributed systems
• Experience building and deploying big data pipelines in production
• Experience with cloud technologies in AWS (Amazon Web Services) or GCP as well as container systems such as Docker or Kubernetes
• Passion for building platforms and infrastructure excellence
• Excellent communication and people engagement skills

Preferred Qualifications:

• Familiarity with ML pipelines, data ecosystem and AWS technologies
• Building ML infrastructure, streaming ML applications
• Experience shipping entertainment and media applications for streaming purposes

#DISNEYTECH

The hiring range for this position in New York is $159,500-$213,900 per year and in San Francisco is $166,800-$223,600 per year and Los Angeles is $152,200-$204,100 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Company Description

CCG Talent Management is a business solutions company. We provide business consulting and talent placement services. Our team understands the principles of connecting purpose to business and career placement. A client of CCG is currently seeking a Sr Data Engineer

Job Description

Job Title: Sr Data Engineer
Location: Glendale, CA - Hybrid Onsite Schedule
The CompanyHeadquartered in Los Angeles, this leader in the Entertainment & Media space is focused on delivering world-class stories and experiences to it's global audience. To offer the best entertainment experiences, their technology teams focus on continued innovation and utilization of cutting edge technology. Platform / StackYou will work with technologies that include Python, AWS, Airflow and Snowflake.

What You'll Do As a Sr Data Engineer:

• Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
• Build tools and services to support data discovery, lineage, governance, and privacy
• Collaborate with other software/data engineers and cross-functional teams
• Work on a Tech stack that includes Airflow, Spark, Databricks, Delta Lake, and Snowflake
• Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
• Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
• Engage with and understand our customers, forming relationships that allow us to understand and prioritize both innovative new offerings and incremental platform improvements
• Maintain detailed documentation of your work and changes to support data quality and data governance requirements

Qualifications

You could be a great fit if you have:
• 5+ years of data engineering experience developing large data pipelines
• Proficiency in at least one major programming language (e.g. Python, Java, Scala)
• Strong SQL skills and ability to create queries to analyze complex datasets
• Hands-on production environment experience with distributed processing systems such as Spark
• Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
• Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Databricks, Big Query)
.• Experience in developing APIs with GraphQL
• Deep Understanding of AWS or other cloud providers as well as infrastructure as code
• Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices

Additional Information

Base Salary - USD $70 - 90/hr W2

Our highly competitive compensation package and outstanding benefits

All your information will be kept confidential according to EEO guidelines.

Senior Data Engineer - Long Term Project - Glendale, CA (Hybrid) Title: Senior Data Engineer
Location: Glendale, CA (Hybrid)
Duration: Long Term Project
Compensation: $90-100/hr.
Work Requirements: <stron...

Senior Data Engineer - Long Term Project - Glendale, CA (Hybrid)
Title:  Senior Data Engineer
Location:  Glendale, CA (Hybrid)
Duration:  Long Term Project
Compensation: $90-100/hr.
Work Requirements:  US Citizen, GC Holders or Authorized to Work in the U.S.
Description/Comment:
As a Senior Data Engineer, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you're passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization.

Key Responsibilities:    Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines
Build tools and services to support data discovery, lineage, governance, and privacy
Collaborate with other software/data engineers and cross-functional teams
Build and maintain APIs to expose data to downstream applications
Develop real-time streaming data pipelines
Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Graph Database, Kafka
Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform
Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more
Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)
Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team
Maintain detailed documentation of your work and changes to support data quality and data governance requirements
Address urgent production issues on timely manner during non standard working hours
Experience working with studio production dat plus
Basic Qualification:    7+ years of data engineering experience developing large data pipelines
Proficiency in at least one major programming language (e.g. Python, Java, Kotlin)
Strong SQL skills and ability to create queries to analyze and extract complex datasets
Hands-on production environment experience with distributed processing systems such as Spark
Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines
Deep Understanding of AWS or other cloud providers as well as infrastructure as code
Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
Strong algorithmic problem-solving expertise
Excellent written and verbal communication
Advance understanding of OLTP vs OLAP environments
Willingness and ability to learn and pick up new skill sets
Self-starting problem solver with an eye for detail and excellent analytical and communication skills
Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling
Graph Database experience a plus
Realtime Event Streaming experience a plus
Familiar with Scrum and Agile methodologies
Bachelor's Degree in Computer Science, Information Systems equivalent industry experience
Required Education:  BA/BS Degree Comp Sci/IS or related field
Our benefits package includes:
Comprehensive medical benefits
Competitive pay
401(k) retirement plan
...and much more!

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

City: Glendale, CAOnsite/ Hybrid/ Remote: Onsite, 3-4 days a weekDuration: 18 monthsRate Range: $107/hr on W2 depending on experience (no C2C or 1099 or sub-contract)Work Authorization: GC, USC, All valid EADs except H1b Must haves: 1) Airflow and Spark2) Snowflake or Databricks3) Data ModelingAdditional Notes: Netflix background would be perfect or content related experience is ideal. Description: As a Senior Data Engineer at The Studios, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you're passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization. Key Responsibilities: ● Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines● Build tools and services to support data discovery, lineage, governance, and privacy● Collaborate with other software/data engineers and cross-functional teams● Build and maintain APIs to expose data to downstream applications● Develop real-time streaming data pipelines● Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Graph Database, Kafka● Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform● Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more● Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams)● Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team● Maintain detailed documentation of your work and changes to support data quality and data governance requirements● Address urgent production issues on timely manner during non standard working hours● Experience working with studio production data a plus Basic Qualifications: ● 7+ years of data engineering experience developing large data pipelines● Proficiency in at least one major programming language (e.g. Python,Java, Kotlin)● Strong SQL skills and ability to create queries to analyze and extract complex datasets● Hands-on production environment experience with distributed processing systems such as Spark● Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines● Deep Understanding of AWS or other cloud providers as well as infrastructure as code● Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices● Strong algorithmic problem-solving expertise● Excellent written and verbal communication● Advance understanding of OLTP vs OLAP environments● Willingness and ability to learn and pick up new skill sets● Self-starting problem solver with an eye for detail and excellent analytical and communication skills● Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling● Graph Database experience a plus● Realtime Event Streaming experience a plus● Familiar with Scrum and Agile methodologies● Bachelor’s Degree in Computer Science, Information Systems equivalent industry experience

Senior Data Engineer - Long Term Project - Glendale, CA (Hybrid)Title: Senior Data Engineer Location: Glendale, CA (Hybrid) Duration: Long Term Project Compensation:$90-100/hr. Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S. Description/Comment: As a Senior Data Engineer, you will play a pivotal role in the transformation of data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. Your responsibilities will include managing complex data structures and delivering scalable and efficient data solutions. Your expertise in data engineering will be crucial in optimizing our data-driven decision-making processes. If you're passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization. Key Responsibilities: Contribute to maintaining, updating, and expanding existing Core Data platform data pipelines Build tools and services to support data discovery, lineage, governance, and privacy Collaborate with other software/data engineers and cross-functional teams Build and maintain APIs to expose data to downstream applications Develop real-time streaming data pipelines Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Graph Database, Kafka Collaborate with product managers, architects, and other engineers to drive the success of the Core Data platform Contribute to developing and documenting both internal and external standards and best practices for pipeline configurations, naming conventions, and more Ensure high operational efficiency and quality of the Core Data platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams) Be an active participant and advocate of agile/scrum ceremonies to collaborate and improve processes for our team Maintain detailed documentation of your work and changes to support data quality and data governance requirements Address urgent production issues on timely manner during non standard working hours Experience working with studio production data a plus Basic Qualification: 7 years of data engineering experience developing large data pipelines Proficiency in at least one major programming language (e.g. Python, Java, Kotlin) Strong SQL skills and ability to create queries to analyze and extract complex datasets Hands-on production environment experience with distributed processing systems such as Spark Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines Deep Understanding of AWS or other cloud providers as well as infrastructure as code Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices Strong algorithmic problem-solving expertise Excellent written and verbal communication Advance understanding of OLTP vs OLAP environments Willingness and ability to learn and pick up new skill sets Self-starting problem solver with an eye for detail and excellent analytical and communication skills Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modeling Graph Database experience a plus Realtime Event Streaming experience a plus Familiar with Scrum and Agile methodologies Bachelor's Degree in Computer Science, Information Systems equivalent industry experience Required Education: BA/BS Degree Comp Sci/IS or related fieldOur benefits package includes: Comprehensive medical benefits Competitive pay 401(k) retirement plan …and much more About INSPYR Solutions Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients’ business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com. INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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Data Engineer Jobs in Glendale, CA

Sr Data EngineerDecember 19, 2024

Senior Data Engineer Long Term Project Glendale Ca HybridDecember 11, 2024

Senior Data EngineerDecember 9, 2024

Lead Data EngineerDecember 8, 2024

Sr Data EngineerDecember 7, 2024

Senior Data Engineer Long Term Project Glendale Ca HybridDecember 1, 2024

Senior Data Engineer Long Term Project Glendale Ca HybridNovember 29, 2024

Senior Data EngineerNovember 24, 2024

Senior Data Engineer Long Term Project Glendale Ca HybridNovember 23, 2024