Big Data Engineer Location: Rosemead , California Type: Contract Job 78718 An electric utility client is looking for a Big Data Engineer who is responsible for developing and maintaining data ingestion and consumption pipelines for Palantir, deriving data insights using platform capabilities towards the realization of analytics and data science use cases. Location: Rosemead, CA 91770 (Hybrid) Position: Big Data Engineer Pay Rate : $60/hr. on W2 (Negotiable) Duration : 18 months or longer Schedule: M-F (8 am to 5 pm) with scheduled availability during non-working hours, weekends during PSPS activations (typically 4-5 instances of 2-5 days in a year) This is Hybrid - 2 days (Tue and Wed) RESPONSIBILITIES: The job function includes understanding of business requirements, defining data requirements, identifying enterprise data sources, planning, designing, and building data acquisition from sources, defining data model, taxonomy, designing data ingestion pipelines, data normalization, data transformation, and consumption using Palantir. The position is responsible for developing and maintaining data ingestion and consumption pipelines for Palantir, deriving data insights using platform capabilities towards the realization of analytics and data science use cases. The job function includes developing data insights, data mining, and support for AI/ML use cases training and deployment within the company's analytics landscape, specifically within Palantir platform. Specifically, the job involves: Manage PSPS activations - on call during activations fielding and managing communications, logging tickets, communicating and monitoring different channels Development of design artifacts to describe technical components of solutions for long term maintenance and support Development of comprehensive solutions using Palantir Prioritize and implement solution enhancements and support production issues Development of documentation for implemented solutions Participation in daily scrum style meetings Participation in sprint planning to provide estimates for assigned work Support of End-to-End testing with the company's Systems interfacing with solutions in Palantir platform SOFT SKILLS: Proficiency with Palantir Foundry Data Integration: Experience with integrating data from multiple sources into Palantir Foundry, including ETL processes and data transformation. Foundry's Code Workbooks: Proficiency in using Foundry's Code Workbooks to write and execute Python, PySpark, or SQL scripts for data processing. Ontology Development: Ability to model and organize data into an ontology within Foundry, creating logical structures that make data easy to access and use. Pipeline Management: Experience in building, managing, and optimizing data pipelines in Foundry to ensure efficient data flow and processing. Palantir Data Governance and Security Data Lineage and Provenance: Understanding how to implement and utilize data lineage features within Palantir to track data origins, transformations, and usage. Access Control Management: Knowledge of setting up and managing data access controls within Palantir, ensuring compliance with data governance policies. Data Compliance: Experience ensuring data usage complies with organizational and regulatory requirements, leveraging Palantir's compliance tools. Data Analytics and Visualization Hands-on with Palantir's Visualization Tools: Proficiency in creating dashboards, reports, and other data visualizations using Palantir's in-built tools. Analytical Functions: Experience using Palantir's analytical functions to conduct complex data analysis, including statistical and predictive modeling. Collaboration and Workflow Automation Knowledge of Palantir's Collaborative Features: Familiarity with Palantir's collaboration features to work with cross-functional teams, share insights, and integrate feedback into data solutions. Workflow Automation: Ability to design and implement automated workflows within Palantir to streamline data processing tasks and ensure timely data delivery. Python, SQL, and Big Data Technologies Programming Skills: Proficiency in Python and SQL, essential for coding custom data processing tasks within Palantir. Big Data Handling: Experience working with large datasets, including knowledge of distributed computing tools like Apache Spark, which can be integrated with Palantir Foundry. Experience with Industry-Specific Applications Domain Knowledge: Understanding of the electric utility data requirements Troubleshooting and Optimization Problem-Solving Skills: Strong problem-solving skills to troubleshoot and resolve issues that arise during data integration and analysis in Palantir. Optimization Techniques: Knowledge of optimizing data pipelines and analytical workflows to improve performance and reduce costs. REQUIRED QUALIFICATIONS: Bachelor's Degree in Information Technology or related specialized field or an equivalent combination of education, training, and experience. 5 years of experience in architecting and designing information, integration, and analytics solutions 3 years' experience in data engineering, data mining, large scale data acquisition, transformation, and cleaning both structured and unstructured data 2 year's experience developing solutions using Palantir technology, Python, Pyspark, SQL. 2 years of Palantir Foundry in-depth hands-on experience About our client : Our client is one of the largest electric utilities and a longtime leader in renewable energy and energy efficiency in the United States providing electricity for much of Southern California. About APR: Since 1980 APR Consulting, Inc. has provided professional recruiting and contingent workforce solutions to a diverse mix of clients, industries, and skill sets nationwide. Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Don't miss out on this amazing opportunity If you feel your experience is the match for this position please apply today and join our team. We look forward to working with you SLA

An electric utility client is looking for a Big Data Engineer who is responsible for developing and maintaining data ingestion and consumption pipelines for Palantir, deriving data insights using platform capabilities towards the realization of analytics and data science use cases.Location: Rosemead, CA 91770 (Hybrid)Position: Big Data EngineerPay Rate: $60/hr. on W2 (Negotiable)Duration: 18 months or longerSchedule: M-F (8 am to 5 pm) with scheduled availability during non-working hours, weekends during PSPS activations (typically 4-5 instances of 2-5 days in a year)***This is Hybrid – 2 days (Tue and Wed)***RESPONSIBILITIES:<ul><li>Understanding business requirements, defining data requirements, identifying enterprise data sources, planning, designing, and building data acquisition from sources, defining data model, taxonomy, designing data ingestion pipelines, data normalization, data transformation, and consumption using Palantir.</li><li>Developing and maintaining data ingestion and consumption pipelines for Palantir, deriving data insights using platform capabilities towards the realization of analytics and data science use cases.</li><li>Managing PSPS activations – on call during activations, fielding and managing communications, logging tickets, communicating and monitoring different channels.</li><li>Development of design artifacts to describe technical components of solutions for long term maintenance and support.</li><li>Development of comprehensive solutions using Palantir.</li><li>Prioritizing and implementing solution enhancements and supporting production issues.</li><li>Development of documentation for implemented solutions.</li><li>Participation in daily scrum style meetings and sprint planning to provide estimates for assigned work.</li><li>Support of End-to-End testing with the company’s Systems interfacing with solutions in Palantir platform.</li></ul>SOFT SKILLS:<ul><li>Proficiency with Palantir Foundry:</li><li>Data Integration: Experience with integrating data from multiple sources into Palantir Foundry, including ETL processes and data transformation.</li><li>Foundry's Code Workbooks: Proficiency in using Foundry’s Code Workbooks to write and execute Python, PySpark, or SQL scripts for data processing.</li><li>Ontology Development: Ability to model and organize data into an ontology within Foundry.</li><li>Pipeline Management: Experience in building, managing, and optimizing data pipelines in Foundry.</li></ul>Palantir Data Governance and Security:<ul><li>Data Lineage and Provenance: Understanding how to implement and utilize data lineage features within Palantir.</li><li>Access Control Management: Knowledge of setting up and managing data access controls within Palantir.</li><li>Data Compliance: Experience ensuring data usage complies with organizational and regulatory requirements.</li></ul>Data Analytics and Visualization:<ul><li>Hands-on with Palantir's Visualization Tools: Proficiency in creating dashboards, reports, and other data visualizations.</li><li>Analytical Functions: Experience using Palantir’s analytical functions to conduct complex data analysis.</li></ul>Collaboration and Workflow Automation:<ul><li>Knowledge of Palantir's Collaborative Features: Familiarity with Palantir’s collaboration features.</li><li>Workflow Automation: Ability to design and implement automated workflows within Palantir.</li></ul>Python, SQL, and Big Data Technologies:<ul><li>Programming Skills: Proficiency in Python and SQL.</li><li>Big Data Handling: Experience working with large datasets, including knowledge of distributed computing tools like Apache Spark.</li></ul>Experience with Industry-Specific Applications:<ul><li>Domain Knowledge: Understanding of the electric utility data requirements.</li></ul>Troubleshooting and Optimization:<ul><li>Problem-Solving Skills: Strong problem-solving skills to troubleshoot and resolve issues.</li><li>Optimization Techniques: Knowledge of optimizing data pipelines and analytical workflows.</li></ul>REQUIRED QUALIFICATIONS:<ul><li>Bachelor's Degree in Information Technology or related field or equivalent combination of education, training, and experience.</li><li>5+ years of experience in architecting and designing information, integration, and analytics solutions.</li><li>3+ years’ experience in data engineering, data mining, large scale data acquisition, transformation, and cleaning.</li><li>2+ year’s experience developing solutions using Palantir technology, Python, Pyspark, SQL.</li><li>2+ years of Palantir Foundry in-depth hands-on experience.</li></ul>About our client:Our client is one of the largest electric utilities and a longtime leader in renewable energy and energy efficiency in the United States.About APR:Since 1980 APR Consulting, Inc. has provided professional recruiting and contingent workforce solutions to a diverse mix of clients, industries, and skill sets nationwide.Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.Don't miss out on this amazing opportunity! If you feel your experience is the match for this position please apply today and join our team. We look forward to working with you!#SLA
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Big Data Engineer

Location: Rosemead , California
Type: Contract
Job #78718
An electric utility client is looking for a  Big Data Engineer  who is responsible for developing and maintaining data ingestion and consumption pipelines for Palantir, deriving data insights using platform capabilities towards the realization of analytics and data science use cases.

Location:  Rosemead, CA 91770 (Hybrid)
Position:  Big Data Engineer
Pay Rate : $60/hr. on W2 (Negotiable)
Duration : 18 months or longer
Schedule: M-F (8 am to 5 pm)  with scheduled availability during non-working hours, weekends during PSPS activations (typically 4-5 instances of 2-5 days in a year)

***This is Hybrid - 2 days (Tue and Wed)***

RESPONSIBILITIES:      The job function includes understanding of business requirements, defining data requirements, identifying enterprise data sources, planning, designing, and building data acquisition from sources, defining data model, taxonomy, designing data ingestion pipelines, data normalization, data transformation, and consumption using Palantir.
The position is responsible for developing and maintaining data ingestion and consumption pipelines for Palantir, deriving data insights using platform capabilities towards the realization of analytics and data science use cases. The job function includes developing data insights, data mining, and support for AI/ML use cases training and deployment within the company's analytics landscape, specifically within Palantir platform.
Specifically, the job involves:      Manage PSPS activations - on call during activations fielding and managing communications, logging tickets, communicating and monitoring different channels
Development of design artifacts to describe technical components of solutions for long term maintenance and support
Development of comprehensive solutions using Palantir
Prioritize and implement solution enhancements and support production issues
Development of documentation for implemented solutions
Participation in daily scrum style meetings
Participation in sprint planning to provide estimates for assigned work
Support of End-to-End testing with the company's Systems interfacing with solutions in Palantir platform
SOFT SKILLS:
Proficiency with Palantir Foundry      Data Integration: Experience with integrating data from multiple sources into Palantir Foundry, including ETL processes and data transformation.
Foundry's Code Workbooks: Proficiency in using Foundry's Code Workbooks to write and execute Python, PySpark, or SQL scripts for data processing.
Ontology Development: Ability to model and organize data into an ontology within Foundry, creating logical structures that make data easy to access and use.
Pipeline Management: Experience in building, managing, and optimizing data pipelines in Foundry to ensure efficient data flow and processing.
Palantir Data Governance and Security      Data Lineage and Provenance: Understanding how to implement and utilize data lineage features within Palantir to track data origins, transformations, and usage.
Access Control Management: Knowledge of setting up and managing data access controls within Palantir, ensuring compliance with data governance policies.
Data Compliance: Experience ensuring data usage complies with organizational and regulatory requirements, leveraging Palantir's compliance tools.
Data Analytics and Visualization      Hands-on with Palantir's Visualization Tools: Proficiency in creating dashboards, reports, and other data visualizations using Palantir's in-built tools.
Analytical Functions: Experience using Palantir's analytical functions to conduct complex data analysis, including statistical and predictive modeling.
Collaboration and Workflow Automation      Knowledge of Palantir's Collaborative Features: Familiarity with Palantir's collaboration features to work with cross-functional teams, share insights, and integrate feedback into data solutions.
Workflow Automation: Ability to design and implement automated workflows within Palantir to streamline data processing tasks and ensure timely data delivery.
Python, SQL, and Big Data Technologies      Programming Skills: Proficiency in Python and SQL, essential for coding custom data processing tasks within Palantir.
Big Data Handling: Experience working with large datasets, including knowledge of distributed computing tools like Apache Spark, which can be integrated with Palantir Foundry.
Experience with Industry-Specific Applications      Domain Knowledge: Understanding of the electric utility data requirements
Troubleshooting and Optimization      Problem-Solving Skills: Strong problem-solving skills to troubleshoot and resolve issues that arise during data integration and analysis in Palantir.
Optimization Techniques: Knowledge of optimizing data pipelines and analytical workflows to improve performance and reduce costs.
REQUIRED QUALIFICATIONS:      Bachelor's Degree in Information Technology or related specialized field or an equivalent combination of education, training, and experience.
5+ years of experience in architecting and designing information, integration, and analytics solutions
3+ years' experience in data engineering, data mining, large scale data acquisition, transformation, and cleaning both structured and unstructured data
2+ year's experience developing solutions using Palantir technology, Python, Pyspark, SQL.
2+ years of Palantir Foundry in-depth hands-on experience

About our client :
Our client is one of the largest electric utilities and a longtime leader in renewable energy and energy efficiency in the United States providing electricity for much of Southern California.

About APR:
Since 1980 APR Consulting, Inc. has provided professional recruiting and contingent workforce solutions to a diverse mix of clients, industries, and skill sets nationwide.

Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Don't miss out on this amazing opportunity! If you feel your experience is the match for this position please apply today and join our team. We look forward to working with you!

#SLA

An electric utility client is looking for a Palantir Big Data Engineer who is responsible for developing and maintaining data ingestion and consumption pipelines for Palantir, deriving data insights using platform capabilities toward the realization of analytics and data science use cases. Location: Rosemead, CA 91770 (Hybrid) Position: Palantir Big Data Engineer Pay Rate: $60/hr. on W2 (Negotiable) Duration: 18 months or longer Schedule: M-F (8 am to 5 pm) with scheduled availability during non-working hours, weekends during PSPS activations (typically 4-5 instances of 2-5 days in a year) ***This is Hybrid 2 days (Tue and Wed)*** RESPONSIBILITIES: <ul> <li>The job function includes understanding of business requirements, defining data requirements, identifying enterprise data sources, planning, designing, and building data acquisition from sources, defining data model, taxonomy, designing data ingestion pipelines, data normalization, data transformation, and consumption using Palantir. </li><li>The position is responsible for developing and maintaining data ingestion and consumption pipelines for Palantir, deriving data insights using platform capabilities towards the realization of analytics and data science use cases. The job function includes developing data insights, data mining, and support for AI/ML use cases training and deployment within the companys analytics landscape, specifically within Palantir platform. </li><li>Specifically, the job involves: Manage PSPS activations - on call during activations fielding and managing communications, logging tickets, communicating and monitoring different channels </li><li>Development of design artifacts to describe technical components of solutions for long term maintenance and support </li><li>Development of comprehensive solutions using Palantir </li><li>Prioritize and implement solution enhancements and support production issues </li><li>Development of documentation for implemented solutions </li><li>Participation in daily scrum style meetings </li><li>Participation in sprint planning to provide estimates for assigned work </li><li>Support of End-to-End testing with the companys Systems interfacing with solutions in Palantir platform </li></ul> SOFT SKILLS: Proficiency with Palantir Foundry <ul> <li>Data Integration: Experience with integrating data from multiple sources into Palantir Foundry, including ETL processes and data transformation. </li><li>Foundry's Code Workbooks: Proficiency in using Foundrys Code Workbooks to write and execute Python, PySpark, or SQL scripts for data processing. </li><li>Ontology Development: Ability to model and organize data into an ontology within Foundry, creating logical structures that make data easy to access and use. </li><li>Pipeline Management: Experience in building, managing, and optimizing data pipelines in Foundry to ensure efficient data flow and processing. </li></ul> Palantir Data Governance and Security <ul> <li>Data Lineage and Provenance: Understanding how to implement and utilize data lineage features within Palantir to track data origins, transformations, and usage. </li><li>Access Control Management: Knowledge of setting up and managing data access controls within Palantir, ensuring compliance with data governance policies. </li><li>Data Compliance: Experience ensuring data usage complies with organizational and regulatory requirements, leveraging Palantirs compliance tools. </li></ul> Data Analytics and Visualization <ul> <li>Hands-on with Palantir's Visualization Tools: Proficiency in creating dashboards, reports, and other data visualizations using Palantirs in-built tools. </li><li>Analytical Functions: Experience using Palantirs analytical functions to conduct complex data analysis, including statistical and predictive modeling. </li></ul> Collaboration and Workflow Automation <ul> <li>Knowledge of Palantir's Collaborative Features: Familiarity with Palantirs collaboration features to work with cross-functional teams, share insights, and integrate feedback into data solutions. </li><li>Workflow Automation: Ability to design and implement automated workflows within Palantir to streamline data processing tasks and ensure timely data delivery. </li></ul> Python, SQL, and Big Data Technologies <ul> <li>Programming Skills: Proficiency in Python and SQL, essential for coding custom data processing tasks within Palantir. </li><li>Big Data Handling: Experience working with large datasets, including knowledge of distributed computing tools like Apache Spark, which can be integrated with Palantir Foundry. </li></ul> Experience with Industry-Specific Applications <ul> <li>Domain Knowledge: Understanding of the electric utility data requirements </li></ul> Troubleshooting and Optimization <ul> <li>Problem-Solving Skills: Strong problem-solving skills to troubleshoot and resolve issues that arise during data integration and analysis in Palantir. </li><li>Optimization Techniques: Knowledge of optimizing data pipelines and analytical workflows to improve performance and reduce costs. </li></ul> REQUIRED QUALIFICATIONS: <ul> <li>Bachelor's Degree in Information Technology or related specialized field or an equivalent combination of education, training, and experience. </li><li>5+ years of experience in architecting and designing information, integration, and analytics solutions </li><li>3+ years experience in data engineering, data mining, large scale data acquisition, transformation, and cleaning both structured and unstructured data </li><li>2+ years experience developing solutions using Palantir technology, Python, Pyspark, SQL. </li><li>2+ years of Palantir Foundry in-depth hands-on experience </li></ul> About our client: Our client is one of the largest electric utilities and a longtime leader in renewable energy and energy efficiency in the United States providing electricity for much of Southern California. About APR: Since 1980 APR Consulting, Inc. has provided professional recruiting and contingent workforce solutions to a diverse mix of clients, industries, and skill sets nationwide. Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Don't miss out on this amazing opportunity! If you feel your experience is the match for this position please apply today and join our team. We look forward to working with you!

Big Data Engineer Location: Rosemead , California Type: Contract Job 78718 An electric utility client is looking for a Big Data Engineer who is responsible for developing and maintaining data ingestion and consumption pipelines for Palantir, deriving data insights using platform capabilities towards the realization of analytics and data science use cases. Location: Rosemead, CA 91770 (Hybrid) Position: Big Data Engineer Pay Rate : $60/hr. on W2 (Negotiable) Duration : 18 months or longer Schedule: M-F (8 am to 5 pm) with scheduled availability during non-working hours, weekends during PSPS activations (typically 4-5 instances of 2-5 days in a year) This is Hybrid - 2 days (Tue and Wed) RESPONSIBILITIES: The job function includes understanding of business requirements, defining data requirements, identifying enterprise data sources, planning, designing, and building data acquisition from sources, defining data model, taxonomy, designing data ingestion pipelines, data normalization, data transformation, and consumption using Palantir. The position is responsible for developing and maintaining data ingestion and consumption pipelines for Palantir, deriving data insights using platform capabilities towards the realization of analytics and data science use cases. The job function includes developing data insights, data mining, and support for AI/ML use cases training and deployment within the company's analytics landscape, specifically within Palantir platform. Specifically, the job involves: Manage PSPS activations - on call during activations fielding and managing communications, logging tickets, communicating and monitoring different channels Development of design artifacts to describe technical components of solutions for long term maintenance and support Development of comprehensive solutions using Palantir Prioritize and implement solution enhancements and support production issues Development of documentation for implemented solutions Participation in daily scrum style meetings Participation in sprint planning to provide estimates for assigned work Support of End-to-End testing with the company's Systems interfacing with solutions in Palantir platform SOFT SKILLS: Proficiency with Palantir Foundry Data Integration: Experience with integrating data from multiple sources into Palantir Foundry, including ETL processes and data transformation. Foundry's Code Workbooks: Proficiency in using Foundry's Code Workbooks to write and execute Python, PySpark, or SQL scripts for data processing. Ontology Development: Ability to model and organize data into an ontology within Foundry, creating logical structures that make data easy to access and use. Pipeline Management: Experience in building, managing, and optimizing data pipelines in Foundry to ensure efficient data flow and processing. Palantir Data Governance and Security Data Lineage and Provenance: Understanding how to implement and utilize data lineage features within Palantir to track data origins, transformations, and usage. Access Control Management: Knowledge of setting up and managing data access controls within Palantir, ensuring compliance with data governance policies. Data Compliance: Experience ensuring data usage complies with organizational and regulatory requirements, leveraging Palantir's compliance tools. Data Analytics and Visualization Hands-on with Palantir's Visualization Tools: Proficiency in creating dashboards, reports, and other data visualizations using Palantir's in-built tools. Analytical Functions: Experience using Palantir's analytical functions to conduct complex data analysis, including statistical and predictive modeling. Collaboration and Workflow Automation Knowledge of Palantir's Collaborative Features: Familiarity with Palantir's collaboration features to work with cross-functional teams, share insights, and integrate feedback into data solutions. Workflow Automation: Ability to design and implement automated workflows within Palantir to streamline data processing tasks and ensure timely data delivery. Python, SQL, and Big Data Technologies Programming Skills: Proficiency in Python and SQL, essential for coding custom data processing tasks within Palantir. Big Data Handling: Experience working with large datasets, including knowledge of distributed computing tools like Apache Spark, which can be integrated with Palantir Foundry. Experience with Industry-Specific Applications Domain Knowledge: Understanding of the electric utility data requirements Troubleshooting and Optimization Problem-Solving Skills: Strong problem-solving skills to troubleshoot and resolve issues that arise during data integration and analysis in Palantir. Optimization Techniques: Knowledge of optimizing data pipelines and analytical workflows to improve performance and reduce costs. REQUIRED QUALIFICATIONS: Bachelor's Degree in Information Technology or related specialized field or an equivalent combination of education, training, and experience. 5 years of experience in architecting and designing information, integration, and analytics solutions 3 years' experience in data engineering, data mining, large scale data acquisition, transformation, and cleaning both structured and unstructured data 2 year's experience developing solutions using Palantir technology, Python, Pyspark, SQL. 2 years of Palantir Foundry in-depth hands-on experience About our client : Our client is one of the largest electric utilities and a longtime leader in renewable energy and energy efficiency in the United States providing electricity for much of Southern California. About APR: Since 1980 APR Consulting, Inc. has provided professional recruiting and contingent workforce solutions to a diverse mix of clients, industries, and skill sets nationwide. Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Don't miss out on this amazing opportunity If you feel your experience is the match for this position please apply today and join our team. We look forward to working with you SLA

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