Center 1 (19052), United States of America, McLean, VirginiaSoftware EngineerDo you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, youll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Full Stack Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, youll have the opportunity to be on the forefront of driving a major transformation within Capital One. What Youll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Basic Qualifications: Bachelors Degree At least 1.5 years of experience in software engineering (Internship experience does not apply) Preferred Qualifications: 3 years of experience in at least one of the following: JavaScript, Java, TypeScript, SQL, Python, or Go 1 years of experience with AWS, GCP, Microsoft Azure, or another cloud service 2 years of experience in open source frameworks 2 years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. New York City (Hybrid On-Site): $138,500 - $158,100 for Software EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidates offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York Citys Fair Chance Act; Philadelphias Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodationcapitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital Ones recruiting process, please send an email to Careerscapitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Software Engineer - Data FLSA Classification: Exempt Salary Range: $110,000 - $125,000 plus bonus and incentive stock options Reports to: Sr. Manager, Data Analytics Location: Brooklyn, NY (Hybrid) About The Company: NineDot's name derives from the classic mathematical puzzle for sparking out-of-the-box solutions. As a leading community-scale, clean energy developer with a growing portfolio of projects across a range of technologies, NineDot Energy is creating innovative energy solutions that support a more resilient electric grid, deliver economic savings, address environmental justice and reduce carbon emissions. We plan to develop, build and operate more than 400 MW of clean energy systems by 2026 that will strengthen the local power grid infrastructure and provide clean, reliable and resilient power to tens of thousands of New York households and businesses. This is all in support of New York State's mission to achieve 100% clean energy by 2040. With the backing of Manulife Investment Management and The Carlyle Group - two of the world's leading infrastructure investors - NineDot is continuing to expand its core battery energy storage pipeline, deliver enhanced products and services, explore new regions and consider potential acquisitions all to advance the decarbonization of New York's grid. This is an exciting opportunity to build a platform from the ground-up with a world-class team of developers and innovators. NineDot is committed to building a company that exemplifies diversity, equity and inclusion values in its team culture, as well as business practices and community engagement. Job Summary We are seeking a Software Engineer - Data to design, develop, and maintain large-scale applications and pipelines, working closely with the Sr. Data Analytics Manager and colleagues on the data team to improve NineDot's business through automation and smarter use of data. This role will be highly technical and hands-on. Your role is on a small team and will involve working in a variety of areas, including but not limited to: cloud infrastructure, devops, developing databases, and scripting. Your work will involve optimizing processes related to various aspects of renewable energy generation, distribution, and consumption. You would be responsible for designing and implementing data management systems, ensuring data quality, and utilizing appropriate tools and technologies to extract valuable insights from the data. Responsibilities: <ul><li>API Development & Integrations: Develop and integrate with APIs, implement data backfills, and build custom integrations, services, or applications to support evolving business needs and ensure seamless operations.</li><li>Automations & Scripting: Create scripts and automations for data synchronization between tools used across the company.</li><li>Databases & Backend: Support backend systems, including database migrations, ensuring the data infrastructure is optimized for performance, scalability, and reliability.</li><li>Cloud Services: Build and manage network infrastructure, compute resources (servers, containers, serverless execution), and other cloud resources to support scalable operations.</li><li>DevOps: Automate deployment across environments, establish testing harnesses for upgrading systems.</li><li>Technology Evaluation: Evaluate and implement new tools and technologies to improve systems and processes.</li><li>Cross-Functional Collaboration: Partner with project development, operations, and finance teams to identify needs and develop implementation plans.</li><li>Documentation: Develop and maintain comprehensive documentation, including design decisions, program behavior, and data dictionaries.</li><li>Frontend Development: Contribute to planning for future frontend improvements, potentially moving beyond Airtable to support enhanced user experiences.</li><li>Additional Responsibilities: Handle other duties as assigned to support team and business goals.</li></ul> Core Competencies: <ul><li>Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions.</li><li>Interpersonal Savvy - Relates well to all colleagues inside and outside the organization.</li><li>Intellectual Horsepower - Deals with concepts and complexity comfortably.</li><li>Perseverance - Pursues everything with energy, drive, and a need to finish; seldom gives up before finishing, especially in the face of resistance or setbacks.</li><li>Technical Learning - Picks up on technical things quickly; can learn new skills and knowledge; is good at learning new industry, company, product, or technical knowledge.</li><li>Creativity - Comes up with a lot of new ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.</li><li>Dealing with Ambiguity - Can effectively cope with change; can decide and act without having the total picture; can comfortably handle risk and uncertainty.</li></ul> Required education and experience: <ul><li>Bachelor's degree in Math, Statistics, Engineering, Computer Science or related field.</li><li>3+ years of software engineering, data engineering, or related experience. </li><li>Experience with setting up and managing data processing, schemas, and storage for multiple systems and teams.</li><li>Coding experience in two or more of the following languages: Python, SQL, Java, Ruby, Javascript.</li><li>Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).</li><li>Experience with data integration, including using APIs, and ETL tools.</li><li>Advanced knowledge of algorithms, data structures, and relational database experience (e.g., PostgreSQL, RDS, Snowflake, or BigQuery).</li><li>Strong written and verbal communication skills.</li><li>Familiarity with data visualization and analytics tools (e.g., Metabase, Power BI, Tableau, Looker, etc) is a plus.</li><li>Experience with a web app framework (e.g., React/Node, MVVM, MVC) is a plus.</li></ul> Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. Affirmative Action/EEO statement We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law.

Software Engineer - Data FLSA Classification: Exempt Salary Range: $110,000 - $125,000 plus bonus and incentive stock options Reports to: Sr. Manager, Data Analytics Location: Brooklyn, NY (Hybrid) About The Company: NineDot's name derives from the classic mathematical puzzle for sparking out-of-the-box solutions. As a leading community-scale, clean energy developer with a growing portfolio of projects across a range of technologies, NineDot Energy is creating innovative energy solutions that support a more resilient electric grid, deliver economic savings, address environmental justice and reduce carbon emissions. We plan to develop, build and operate more than 400 MW of clean energy systems by 2026 that will strengthen the local power grid infrastructure and provide clean, reliable and resilient power to tens of thousands of New York households and businesses. This is all in support of New York State's mission to achieve 100% clean energy by 2040. With the backing of Manulife Investment Management and The Carlyle Group - two of the world's leading infrastructure investors - NineDot is continuing to expand its core battery energy storage pipeline, deliver enhanced products and services, explore new regions and consider potential acquisitions all to advance the decarbonization of New York's grid. This is an exciting opportunity to build a platform from the ground-up with a world-class team of developers and innovators. NineDot is committed to building a company that exemplifies diversity, equity and inclusion values in its team culture, as well as business practices and community engagement. Job Summary We are seeking a Software Engineer - Data to design, develop, and maintain large-scale applications and pipelines, working closely with the Sr. Data Analytics Manager and colleagues on the data team to improve NineDot's business through automation and smarter use of data. This role will be highly technical and hands-on. Your role is on a small team and will involve working in a variety of areas, including but not limited to: cloud infrastructure, devops, developing databases, and scripting. Your work will involve optimizing processes related to various aspects of renewable energy generation, distribution, and consumption. You would be responsible for designing and implementing data management systems, ensuring data quality, and utilizing appropriate tools and technologies to extract valuable insights from the data. Responsibilities:
API Development & Integrations : Develop and integrate with APIs, implement data backfills, and build custom integrations, services, or applications to support evolving business needs and ensure seamless operations.
Automations & Scripting : Create scripts and automations for data synchronization between tools used across the company.
Databases & Backend : Support backend systems, including database migrations, ensuring the data infrastructure is optimized for performance, scalability, and reliability.
Cloud Services : Build and manage network infrastructure, compute resources (servers, containers, serverless execution), and other cloud resources to support scalable operations.
DevOps : Automate deployment across environments, establish testing harnesses for upgrading systems.
Technology Evaluation : Evaluate and implement new tools and technologies to improve systems and processes.
Cross-Functional Collaboration : Partner with project development, operations, and finance teams to identify needs and develop implementation plans.
Documentation : Develop and maintain comprehensive documentation, including design decisions, program behavior, and data dictionaries.
Frontend Development : Contribute to planning for future frontend improvements, potentially moving beyond Airtable to support enhanced user experiences.
Additional Responsibilities : Handle other duties as assigned to support team and business goals.
Core Competencies: Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions.
Interpersonal Savvy - Relates well to all colleagues inside and outside the organization.
Intellectual Horsepower - Deals with concepts and complexity comfortably.
Perseverance - Pursues everything with energy, drive, and a need to finish; seldom gives up before finishing, especially in the face of resistance or setbacks.
Technical Learning - Picks up on technical things quickly; can learn new skills and knowledge; is good at learning new industry, company, product, or technical knowledge.
Creativity - Comes up with a lot of new ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Dealing with Ambiguity - Can effectively cope with change; can decide and act without having the total picture; can comfortably handle risk and uncertainty.
Required education and experience: Bachelor's degree in Math, Statistics, Engineering, Computer Science or related field.
3+ years of software engineering, data engineering, or related experience.
Experience with setting up and managing data processing, schemas, and storage for multiple systems and teams.
Coding experience in two or more of the following languages: Python, SQL, Java, Ruby, Javascript.
Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
Experience with data integration, including using APIs, and ETL tools.
Advanced knowledge of algorithms, data structures, and relational database experience (e.g., PostgreSQL, RDS, Snowflake, or BigQuery).
Strong written and verbal communication skills.
Familiarity with data visualization and analytics tools (e.g., Metabase, Power BI, Tableau, Looker, etc) is a plus.
Experience with a web app framework (e.g., React/Node, MVVM, MVC) is a plus. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. Affirmative Action/EEO statement We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law.

Software Engineer - Data

FLSA Classification:  Exempt

Salary Range:  $110,000 - $125,000 plus bonus and incentive stock options

Reports to:  Sr. Manager, Data Analytics

Location:  Brooklyn, NY (Hybrid)

About The Company:

NineDot's name derives from the classic mathematical puzzle for sparking out-of-the-box solutions. As a leading community-scale, clean energy developer with a growing portfolio of projects across a range of technologies, NineDot Energy is creating innovative energy solutions that support a more resilient electric grid, deliver economic savings, address environmental justice and reduce carbon emissions. We plan to develop, build and operate more than 400 MW of clean energy systems by 2026 that will strengthen the local power grid infrastructure and provide clean, reliable and resilient power to tens of thousands of New York households and businesses. This is all in support of New York State's mission to achieve 100% clean energy by 2040.

With the backing of Manulife Investment Management and The Carlyle Group - two of the world's leading infrastructure investors - NineDot is continuing to expand its core battery energy storage pipeline, deliver enhanced products and services, explore new regions and consider potential acquisitions all to advance the decarbonization of New York's grid. This is an exciting opportunity to build a platform from the ground-up with a world-class team of developers and innovators. NineDot is committed to building a company that exemplifies diversity, equity and inclusion values in its team culture, as well as business practices and community engagement.

Job Summary

We are seeking a Software Engineer - Data to design, develop, and maintain large-scale applications and pipelines, working closely with the Sr. Data Analytics Manager and colleagues on the data team to improve NineDot's business through automation and smarter use of data. This role will be highly technical and hands-on. Your role is on a small team and will involve working in a variety of areas, including but not limited to: cloud infrastructure, devops, developing databases, and scripting. Your work will involve optimizing processes related to various aspects of renewable energy generation, distribution, and consumption. You would be responsible for designing and implementing data management systems, ensuring data quality, and utilizing appropriate tools and technologies to extract valuable insights from the data.

Responsibilities:
API Development & Integrations : Develop and integrate with APIs, implement data backfills, and build custom integrations, services, or applications to support evolving business needs and ensure seamless operations.
Automations & Scripting : Create scripts and automations for data synchronization between tools used across the company.
Databases & Backend : Support backend systems, including database migrations, ensuring the data infrastructure is optimized for performance, scalability, and reliability.
Cloud Services : Build and manage network infrastructure, compute resources (servers, containers, serverless execution), and other cloud resources to support scalable operations.
DevOps : Automate deployment across environments, establish testing harnesses for upgrading systems.
Technology Evaluation : Evaluate and implement new tools and technologies to improve systems and processes.
Cross-Functional Collaboration : Partner with project development, operations, and finance teams to identify needs and develop implementation plans.
Documentation : Develop and maintain comprehensive documentation, including design decisions, program behavior, and data dictionaries.
Frontend Development : Contribute to planning for future frontend improvements, potentially moving beyond Airtable to support enhanced user experiences.
Additional Responsibilities : Handle other duties as assigned to support team and business goals.
Core Competencies:     Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions.
Interpersonal Savvy - Relates well to all colleagues inside and outside the organization.
Intellectual Horsepower - Deals with concepts and complexity comfortably.
Perseverance - Pursues everything with energy, drive, and a need to finish; seldom gives up before finishing, especially in the face of resistance or setbacks.
Technical Learning - Picks up on technical things quickly; can learn new skills and knowledge; is good at learning new industry, company, product, or technical knowledge.
Creativity - Comes up with a lot of new ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings.
Dealing with Ambiguity - Can effectively cope with change; can decide and act without having the total picture; can comfortably handle risk and uncertainty.
Required education and experience:     Bachelor's degree in Math, Statistics, Engineering, Computer Science or related field.
3+ years of software engineering, data engineering, or related experience.
Experience with setting up and managing data processing, schemas, and storage for multiple systems and teams.
Coding experience in two or more of the following languages: Python, SQL, Java, Ruby, Javascript.
Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
Experience with data integration, including using APIs, and ETL tools.
Advanced knowledge of algorithms, data structures, and relational database experience (e.g., PostgreSQL, RDS, Snowflake, or BigQuery).
Strong written and verbal communication skills.
Familiarity with data visualization and analytics tools (e.g., Metabase, Power BI, Tableau, Looker, etc) is a plus.
Experience with a web app framework (e.g., React/Node, MVVM, MVC) is a plus.

Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions.

Affirmative Action/EEO statement

We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law.

Software Engineer - Data FLSA Classification: Exempt Salary Range: $110,000 - $125,000 plus bonus and incentive stock options Reports to: Sr. Manager, Data Analytics Location: Brooklyn, NY (Hybrid) About The Company: NineDot's name derives from the classic mathematical puzzle for sparking out-of-the-box solutions. As a leading community-scale, clean energy developer with a growing portfolio of projects across a range of technologies, NineDot Energy is creating innovative energy solutions that support a more resilient electric grid, deliver economic savings, address environmental justice and reduce carbon emissions. We plan to develop, build and operate more than 400 MW of clean energy systems by 2026 that will strengthen the local power grid infrastructure and provide clean, reliable and resilient power to tens of thousands of New York households and businesses. This is all in support of New York State's mission to achieve 100% clean energy by 2040. With the backing of Manulife Investment Management and The Carlyle Group - two of the world's leading infrastructure investors - NineDot is continuing to expand its core battery energy storage pipeline, deliver enhanced products and services, explore new regions and consider potential acquisitions all to advance the decarbonization of New York's grid. This is an exciting opportunity to build a platform from the ground-up with a world-class team of developers and innovators. NineDot is committed to building a company that exemplifies diversity, equity and inclusion values in its team culture, as well as business practices and community engagement. Job Summary We are seeking a Software Engineer - Data to design, develop, and maintain large-scale applications and pipelines, working closely with the Sr. Data Analytics Manager and colleagues on the data team to improve NineDot's business through automation and smarter use of data. This role will be highly technical and hands-on. Your role is on a small team and will involve working in a variety of areas, including but not limited to: cloud infrastructure, devops, developing databases, and scripting. Your work will involve optimizing processes related to various aspects of renewable energy generation, distribution, and consumption. You would be responsible for designing and implementing data management systems, ensuring data quality, and utilizing appropriate tools and technologies to extract valuable insights from the data. Responsibilities: <ul> <li>API Development & Integrations: Develop and integrate with APIs, implement data backfills, and build custom integrations, services, or applications to support evolving business needs and ensure seamless operations. </li><li>Automations & Scripting: Create scripts and automations for data synchronization between tools used across the company. </li><li>Databases & Backend: Support backend systems, including database migrations, ensuring the data infrastructure is optimized for performance, scalability, and reliability. </li><li>Cloud Services: Build and manage network infrastructure, compute resources (servers, containers, serverless execution), and other cloud resources to support scalable operations. </li><li>DevOps: Automate deployment across environments, establish testing harnesses for upgrading systems. </li><li>Technology Evaluation: Evaluate and implement new tools and technologies to improve systems and processes. </li><li>Cross-Functional Collaboration: Partner with project development, operations, and finance teams to identify needs and develop implementation plans. </li><li>Documentation: Develop and maintain comprehensive documentation, including design decisions, program behavior, and data dictionaries. </li><li>Frontend Development: Contribute to planning for future frontend improvements, potentially moving beyond Airtable to support enhanced user experiences. </li><li>Additional Responsibilities: Handle other duties as assigned to support team and business goals. </li></ul>Core Competencies: <ul> <li>Problem Solving - Uses rigorous logic and methods to solve difficult problems with effective solutions. </li><li>Interpersonal Savvy - Relates well to all colleagues inside and outside the organization. </li><li>Intellectual Horsepower - Deals with concepts and complexity comfortably. </li><li>Perseverance - Pursues everything with energy, drive, and a need to finish; seldom gives up before finishing, especially in the face of resistance or setbacks. </li><li>Technical Learning - Picks up on technical things quickly; can learn new skills and knowledge; is good at learning new industry, company, product, or technical knowledge. </li><li>Creativity - Comes up with a lot of new ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings. </li><li>Dealing with Ambiguity - Can effectively cope with change; can decide and act without having the total picture; can comfortably handle risk and uncertainty. </li></ul>Required education and experience: <ul> <li>Bachelor's degree in Math, Statistics, Engineering, Computer Science or related field. </li><li>3+ years of software engineering, data engineering, or related experience. </li> <li>Experience with setting up and managing data processing, schemas, and storage for multiple systems and teams. </li><li>Coding experience in two or more of the following languages: Python, SQL, Java, Ruby, Javascript. </li><li>Experience with cloud platforms like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). </li><li>Experience with data integration, including using APIs, and ETL tools. </li><li>Advanced knowledge of algorithms, data structures, and relational database experience (e.g., PostgreSQL, RDS, Snowflake, or BigQuery). </li><li>Strong written and verbal communication skills. </li><li>Familiarity with data visualization and analytics tools (e.g., Metabase, Power BI, Tableau, Looker, etc) is a plus. </li><li>Experience with a web app framework (e.g., React/Node, MVVM, MVC) is a plus. </li></ul> Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. Affirmative Action/EEO statement We are proud to be an Equal Opportunity/Affirmative Action Employer and committed to leveraging the diverse backgrounds, perspectives and experience of our workforce to create opportunities for our colleagues and our business. We do not discriminate on the basis of race, color, national origin, religion, gender expression, gender identity, sex, age, ancestry, marital status, protected veteran and military status, disability, medical condition, sexual orientation, genetic information, or any other status of an individual or that individual's associates or relatives that is protected under applicable federal, state, or local law.

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