Scala Jobs in Maryland.
All active Scala roles based in Maryland.
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Delivery Solutions Architect - U.S. Federal Sector
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CSQ426R15
PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.
At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get from our platform and the return on investment.
This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to utilize your skills and technical credibility to engage and communicate effectively with all levels of an organization. You will report directly to a DSA Manager within the Field Engineering organization.
The impact you will have:
- Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
- Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
- Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
- Be the first contact for any technical issues or questions related to the production/go-live status of agreed-upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
- Leverage both Shared Services, User Education, Onboarding/Technical Services, and Support resources, along with escalating to expert-level technical experts, to build the right tasks that are beyond your scope of activities or expertise
- Create, own, and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
- Navigate Databricks Product and Engineering teams for new product Innovations, private previews, and upgrade needs
- Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
- Main use cases moving from ‘win’ to production
- Enablement/user growth plan
- Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision)
- Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
- Executive and operational governance
- Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM
What we look for:
- U.S. citizenship
- 7+ years of experience where you have been accountable for technical project/program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
- Programming experience in Python, SQL or Scala
- Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
- Understanding of solution architecture related to distributed data systems
- Understanding of how to attribute business value and outcomes to specific project deliverables
- Technical program, or project management, including account, stakeholder and resource management accountability
- Experience in resolving complex and important escalations with senior customer executives
- Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
- Track record of overachievement against quota, Goals or similar objective targets
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
- Can travel up to 30% when needed
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Principal Software Engineer - Data
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ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
About the Role:
We are seeking an experienced Principal Software Engineer (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.
What You'll Do:
- Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
- Design and implement data architectures and storage solutions to efficiently handle massive data volumes
- Collaborate closely with data scientists to support and integrate ML models into data workflows
- Continuously improve data quality, performance, and scalability of our technographic data platform
- Drive technical strategy and roadmap for the data processing infrastructure.
What We're Looking For:
- Extensive experience building and scaling big data pipelines and architectures from scratch
- Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
- Strong software engineering fundamentals and ability to write efficient, high-quality code
- Experience with entity recognition and NLP techniques a plus
- Proven track record delivering results and driving projects in a fast-paced environment
- Excellent collaboration and communication skills to work with data scientists, analysts and product teams
- Passion for leveraging huge datasets to power valuable insights.
Ideal Background:
- 10+ years of experience in software engineering roles.
- Experience working with very large datasets and distributed systems
- Familiarity building data pipelines at large tech companies or data-driven organizations
- Bachelor's or advanced degree in Computer Science, Engineering or related technical field.
#LI-SK1
#LI-Remote
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
Ready to apply?
Apply to ZoomInfo Technologies LLC
Resident Solutions Architect - Public Sector
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CSQ227R175
PLEASE NOTE:
Due to federal contract requirements and client site access obligations, U.S. government Top Secret clearance is required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on‑site work and client collaboration. Candidates with an active Secret or higher clearance are strongly encouraged to apply.
As a Resident Solutions Architect (RSA) on our Professional Services team, you will work with customers on short to medium term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
- Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
- Work with engagement managers to scope variety of professional services work with input from the customer
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Provide an escalated level of support for customer operational issues
- Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues
What we look for:
- US Top Secret Clearance Required TS/SCI Preferred this position
- 6+ years experience in data engineering, data platforms & analytics
- Comfortable writing code in either Python or Scala
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Design and deployment of performant end-to-end data architectures
- Experience with technical project delivery - managing scope and timelines
- Documentation and white-boarding skills
- Experience working with clients and managing conflicts
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
- Ability to travel up to 30% when needed
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Software Engineer III
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ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast.
About the Role:
We are seeking an experienced Software Engineer III (Data) to join our fast-paced, collaborative data team. In this role, you will have broad authority to drive the direction of our technographic data services, building world-class data pipelines and systems to process billions of signals and data points. This is an exciting opportunity to solve challenging problems and make a big impact as we invest in making technographics a first-class offering.
What You'll Do:
- Build and optimize big data pipelines to extract and process signals from the web, job postings, and other sources
- Design and implement data architectures and storage solutions to efficiently handle massive data volumes
- Collaborate closely with data scientists to support and integrate ML models into data workflows
- Continuously improve data quality, performance, and scalability of our technographic data platform
- Drive technical strategy and roadmap for the data processing infrastructure.
What We're Looking For:
- Extensive experience building and scaling big data pipelines and architectures from scratch
- Deep expertise in big data frameworks (Hadoop, Spark) and the JVM stack (Java, Scala)
- Strong software engineering fundamentals and ability to write efficient, high-quality code
- Experience with entity recognition and NLP techniques a plus
- Proven track record delivering results and driving projects in a fast-paced environment
- Excellent collaboration and communication skills to work with data scientists, analysts and product teams
- Passion for leveraging huge datasets to power valuable insights.
Ideal Background:
- 5+ years of experience in software engineering roles.
- Experience working with very large datasets and distributed systems
- Familiarity building data pipelines at large tech companies or data-driven organizations
- Bachelor's or advanced degree in Computer Science, Engineering or related technical field.
#LI-SK1
#LI-Hybrid
Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.
In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.
About us:
ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.
ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.
ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.
ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.
For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.
Ready to apply?
Apply to ZoomInfo Technologies LLC
Sr. Solutions Architect - Public Sector (Hunter)
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FEQ127R326
Mission
Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
- Build and present references architectures, how-tos, and demo applications for customers
- Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
- Travel to customers in your region
What we look for:
- 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
- Experience supporting Public Sector clients
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- US Citizen
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Solutions Architect - Public Sector (LEAPS)
Share this job
FEQ127R165
Mission
Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
- Build and present references architectures, how-tos, and demo applications for customers
- Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
- Travel to customers in your region
What we look for:
- 5+ years in a customer-facing pre-sales, technical architecture, or consulting role
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
- Experience supporting Public Sector clients
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- US Citizen
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Sr. Solutions Architect - Public Sector (Federal Civilian)
Share this job
FEQ127R5
Mission
Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help solve their business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications
- Build and present references architectures, how-tos, and demo applications for customers
- Become an expert in, and promote Databricks inspired open-source projects (Spark, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars
- Travel to customers in your region
What we look for:
- 8+ years in a customer-facing pre-sales, technical architecture, or consulting role
- Experience designing and architecting distributed data systems
- Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R
- Experience supporting Public Sector clients
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- US Citizen
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Ready to apply?
Apply to Databricks
Senior Platform DevEx Engineer (DevOps)
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Black Canyon Consulting (BCC) is searching for Senior Platform DevEx/DevOps Engineer to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.
NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data.
The Platform Services team builds and maintains the systems that software developers across NCBI use to ensure that they are consistently pushing and deploying high quality code that complies with Federal Standards for application security and mature code practices. We're involved in the entire development lifecycle including:
- Tools for creating and setting up new projects consistently across the org.
- CI pipelines and build tools for consistent expectations across languages and application frameworks
- Testing frameworks and metrics to assure only quality and secure code can be sent to production.
- Deployment and publishing pipelines to bring applications to their users in on-premises and cloud environments, and to provide public access to Open Source projects.
- Integrations for the secure management of deployment parameters, credentials, and more.
- Tooling to allow applications to communicate asynchronously, monitor performance metrics, debug live applications and much more.
What you'll do
As an Senior Platform DevEx engineer, you'll be a part of a highly experienced cross-functional team of around 20, building and maintaining tools and systems that allow developers across NCBI to build, deploy, and maintain software and web services that are used around the world.
You should be prepared to work on:
- GitLab CI pipeline configuration, templates, and components to build a standardized ecosystem for developers across the organization to use for their applications, in many languages, from C++ to Scala, Kotlin, and Python.
- Python applications, scripts, and libraries to provide interfaces for DevOps and customer tools to manage builds, deployments, and more.
- Kubernetes configuration templates using the YTT templating language to create and maintain customizable patterns for consistent deployments across application teams
- Debugging deployments on Kubernetes distributions like Openshift and Anthos and using plugins like ArgoCD, Istio, and more.
- Documentation knowledge bases for each component project and the DevEx platform as a whole, in READMEs and on Confluence.
- Leading smaller projects within the DevEx teams to add new capabilities to the platform.
What we look for
While we have roles at all levels of experience, we are looking for senior proactive developers with experience building software or maintaining DevOps infrastructure and a strong interest in learning more.
Required Skills
- 7+ years of direct experience
- Strong coding fluency in at least one programming language. NCBI uses Python, C++, JavaScript/Typescript, some Kotlin & Scala, and small amounts of Golang and Rust.
- A working knowledge of Linux systems and the command line
- Familiarity with source control, CI/CD pipelines, package publishing, and containerization
Preferred skills and experience
- Experience developing CLI applications
- Experience building and deploying web APIs to cloud services or Kubernetes
- Familiarity with container orchestration tools like Kubernetes or Nomad, and Kubernetes distributions like OpenShift Container Platform, Anthos, GKE, AKS, EKS, etc.
- Familiarity with observability tools like Prometheus, the EFK (ElasticSearch, fluentd, Kibana) or TIGK (Telegraph InfluxDB, Grafana, Kapacitor) stacks, DataDog, Sensu, Jaeger, Sentry, or OpsGenie.
- Familiarity with GitLab CI/CD pipelines
Bonus skills and experience
- Experience building high availability applications
- Experience configuring multi-tenent Kubernetes clusters
- Familiarity with Service Mesh techlolgies like Istio or Linkerd
- Familiarity with event bus technologies like Kafka, RabbitMQ, AWS Kenesis, etc.
- Familiarity with data processing and distributed computing tools like Apache Spark or Airflow
- Familiarity with secret management tools like Hashicorp Vault, Azure KeyVault, Google Secret Manager, etc.
Benefits and Salary
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.
We offer a competitive salary commensurate with experience and location. The targeted range for this position is $150,000 - $250,000.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Ready to apply?
Apply to Black Canyon ConsultingQA Platform Engineer
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Black Canyon Consulting (BCC) is searching for QA Platform Engineer (DevOps) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.
NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data.
Duties & Responsibilities
This is a great opportunity to work on challenging problems as part of NCBI's Platforms team, in a technical, scientific, and goal-oriented environment.
The Platforms team:
- Develops and continuously improves DevSecOps, DataOps, and Observability platforms.
- Develops and maintains common tools and libraries.
- Evaluates new technologies and practices.
- Helps NCBI developers with adoption platforms, tools, architectural patterns and best practices.
- Ensures compliance with the Federal application security regulations and standards by providing automated solutions and compliance pipelines.
- Practices Agile development and continuous improvement.
The Compliance and QA team within the Platform section of NCBI focuses on:
The person filling the role of QA Test Engineer will need proven software development skills using modern computing languages such as Python, JavaScript, and Java. Other highly valued expertise includes web technologies and experience with continuous integration/continuous deployment (CI/CD). In addition to automating tests (Selenium, Cypress, Playwright), a person in this role would be expected to implement frameworks and utilities to support deployment, testing, and monitoring.
- Build and maintain compliance pipelines with built-in quality gates
- Continuously automatically gather metrics for application quality for the enterprise-wide portfolio of applications
- Provide QA services on a project basis
NCBI's platforms are based on containerization, Kubernetes, GitOps and open interfaces with deployments to multiple clouds and premises.
Strong coding skills in at least one programing language is required. NCBI uses Python, Javascript/Typescript, C++, some Kotlin and Scala and a bit of Golang and Rust.
NCBI is a Linux shop, candidates need adequate level of Linux command-line skills. Sysadmin-level skills are a bonus.
Familiarity with build tools and various web, RPC and other frameworks is a bonus. Experience with design patterns in coding and architecture is a bonus.
Any knowledge of the following is helpful but not required:
- OpenShift, Anthos, Google Kubernetes Engine (GKE), Azure Kubernetes Services (AKS), Amazon Elastic Kubernetes Service (EKS), Hashicorp Nomad
- Observability tools such as Prometheus, EFK (ElasticSearch, fluentd, Kibana), TIGK (Telegraph, InfluxDB, Graphana, Kapacitor), DataDog, Sensu, Jaeger, Sentry, OpsGenie, PagerDuty.
- Service mesh technologies such as Istio, Linkerd
- Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub
- GitLab, GitHub, Bitbucket, Teamcity, Artifactory, or equivalent products for management of Git source control, CI/CD pipelines and artifact lifecycle management.
- Secret Management tools such as Hashicorp Vault, CyberArk, Azure Key Vault, Google Cloud Secret Manager or equivalent.
Positions offered at any level. Growth mindset is encouraged and the team offers leadership opportunities at any level.
Educational Requirements
- B.S. in a STEM field (Engineering, Computer Science, Mathematics, Physics) or equivalent industry experience in Systems Engineering.
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Ready to apply?
Apply to Black Canyon ConsultingPlatform Ops Lead
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Black Canyon Consulting (BCC) is searching for Platform Ops Lead to lead Operations Support Engineer to join our DevOps and infrastructure team to support application developers and operations. NCBI is located in Bethesda, Maryland.
NCBI is part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH). NCBI advances science and public health by providing free access over the Internet to biomedical literature and genomic data, making it one of the 400 top most-visited sites in the world. NCBI has a diverse staff of smart, talented, and deeply technical people who collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts; and maintains ClinicalTrials.gov, a database of over 400,000 clinical studies around the world.
The Systems & DevOps team is responsible for the efficient operation of infrastructure to run NCBI's many applications. This includes providing convenient, scalable solutions for development, deployment, and operations across teams, languages, and cloud and on-prem environments.
This is a great opportunity to work on challenging problems in a technical, scientific, and goal-oriented environment. NCBI offers flexible working hours, remote options, on- and off-site training courses, and conference attendance and tuition reimbursement.
Duties and Responsibilities
- NCBI has built a modern DevOps platform based on GitLab and Kubernetes, and is looking to create a team of support engineers to assist internal developers with transitioning legacy software development and deployment to the new DevOps platform. You would be the leader of our platform operations team.
- Identify and resolve operational problems in a micro-service environment
- Work with developers to resolve deployment and runtime problems
- Perform analysis and debugging work across multiple technologies
- Prioritize issues to keep applications within error budgets and meeting their SLOs
- Provide technical solutions to a wide range of problems and user requests
- Document process, procedures and SOPs by soliciting feedback and suggestions from team members
- Compile postmortems and action items to minimize future outages
- Interview other people for team member roles, and decide which ones to recommend for hire.
- Train new team members, and assist them with issues.
- Provide on-call support to NCBI's internal developers and other staff.
Requirements
- BS degree in STEM or equivalent experience
- Customer-focused, team-oriented disposition
- Good systems debugging skills
- Comfortable with the Linux environment or UNIX CLI
- Experience with some programming or scripting language
- Have experience creating processes, procedures and SOP documentation
- General understanding of TCP/IP, HTTP, and related protocols
- Initiative to take ownership of tasks and drive them to completion
- Comfortable dealing with users with varying levels of IT knowledge
- Eager to learn new technologies
- Strong communication and soft skills to interface with customers, peers and management
- Good judgement, sense of integrity, and responsibility
Preferred Experience and Skillsets
- Kubernetes, OpenShift, Cloud or Linux experience
- Experience with:
- Service Reliability Engineering in any capacity
- Linux systems administration
- Automated CI servers, especially TeamCity and/or GitLab
- Automation programming/scripting in any of: bash, Ruby, Python, Go, Java, Scala, Rust, C++, Perl
- Automated configuration management, such as Puppet, Ansible, Chef, bcfg2, cfengine, etc. Puppet is preferred.
- Version control systems, especially git
- Service Mesh technologies (e.g., linkerd, Istio)
- Configuring or using monitoring and alerting technologies (TIGK stack, Grafana, Prometheus, OpsGenie)
- Confluence, Jira, and Microsoft Office suite
- GitOps tools, especially ArgoCD
- Google Anthos
- Understanding of:
- Linux internals (system calls, file systems, processes, etc.)
- Linux network configuration
- Linux application containerization, especially Docker
- Attached network storage technologies
- Cloud computing environment such as AWS, GCP or Azure
- Automated CI/CD pipelines
- Distributed systems design principles
Benefits and Salary
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.
We offer a competitive salary commensurate with experience and location. The targeted range for this position is $135,000 - $165,000.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Ready to apply?
Apply to Black Canyon ConsultingPlatform DevEx Engineer
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Black Canyon Consulting (BCC) is searching for Platform DevEx Engineer to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This is a hybrid position. Candidates must be able to work onsite at the NCBI in Bethesda, MD, approximately two days per week.
NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data.
The Platform Services team builds and maintains the systems that software developers across NCBI use to ensure that they are consistently pushing and deploying high quality code that complies with Federal Standards for application security and mature code practices. We're involved in the entire development lifecycle including:
- Tools for creating and setting up new projects consistently across the org.
- CI pipelines and build tools for consistent expectations across languages and application frameworks
- Testing frameworks and metrics to assure only quality and secure code can be sent to production.
- Deployment and publishing pipelines to bring applications to their users in on-premises and cloud environments, and to provide public access to Open Source projects.
- Integrations for the secure management of deployment parameters, credentials, and more.
- Tooling to allow applications to communicate asynchronously, monitor performance metrics, debug live applications and much more.
What you'll do
As an Platform DevEx engineer, you'll be a part of a cross-functional team of around 20, building and maintaining tools and systems that allow developers across NCBI to build, deploy, and maintain software and web services that are used around the world.
You should be prepared to work on:
- GitLab CI pipeline configuration, templates, and components to build a standardized ecosystem for developers across the organization to use for their applications, in many languages, from C++ to Scala, Kotlin, and Python.
- Python applications, scripts, and libraries to provide interfaces for DevOps and customer tools to manage builds, deployments, and more.
- Kubernetes configuration templates using the YTT templating language to create and maintain customizable patterns for consistent deployments across application teams
- Debugging deployments on Kubernetes distributions like Openshift and Anthos and using plugins like ArgoCD, Istio, and more.
- Documentation knowledge bases for each component project and the DevEx platform as a whole, in READMEs and on Confluence.
- Leading smaller projects within the DevEx teams to add new capabilities to the platform.
What we look for
While we have roles at all levels of experience, we are looking for proactive developers with some experience building software or maintaining DevOps infrastructure and a strong interest in learning more.
Required Skills
- Strong coding fluency in at least one programming language. NCBI uses Python, C++, JavaScript/Typescript, some Kotlin & Scala, and small amounts of Golang and Rust.
- A working knowledge of Linux systems and the command line
- Familiarity with source control, CI/CD pipelines, package publishing, and containerization
Preferred skills and experience
- Experience developing CLI applications
- Experience building and deploying web APIs to cloud services or Kubernetes
- Familiarity with container orchestration tools like Kubernetes or Nomad, and Kubernetes distributions like OpenShift Container Platform, Anthos, GKE, AKS, EKS, etc.
- Familiarity with observability tools like Prometheus, the EFK (ElasticSearch, fluentd, Kibana) or TIGK (Telegraph InfluxDB, Grafana, Kapacitor) stacks, DataDog, Sensu, Jaeger, Sentry, or OpsGenie.
- Familiarity with GitLab CI/CD pipelines
Bonus skills and experience
- Experience building high availability applications
- Experience configuring multi-tenent Kubernetes clusters
- Familiarity with Service Mesh techlolgies like Istio or Linkerd
- Familiarity with event bus technologies like Kafka, RabbitMQ, AWS Kenesis, etc.
- Familiarity with data processing and distributed computing tools like Apache Spark or Airflow
- Familiarity with secret management tools like Hashicorp Vault, Azure KeyVault, Google Secret Manager, etc.
Benefits and Salary
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.
We offer a competitive salary commensurate with experience and location. The targeted range for this position is $115,000 - $150,000.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Ready to apply?
Apply to Black Canyon ConsultingPlatform DevEx Engineer
Share this job
Black Canyon Consulting (BCC) is searching for Platform DevEx Engineer to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time and onsite/remote at the NCBI in Bethesda, MD and/or remote.
NCBI is part of the National Library of Medicine (NLM) at National Institutes of Health (NIH). NCBI advances science and public health by providing free access to biomedical literature and genomic data over the web, making it one of the 400 top most-visited sites in the world. NCBI's diverse staff of smart, talented, and deeply technical people collaborate to build critically valuable services for researchers, physicians, educators, students, and the general public. For example, NCBI develops and delivers PubMed, an index of over 29 million biomedical research abstracts, often with links to full-text literature and supporting data.
The Platform Services team builds and maintains the systems that software developers across NCBI use to ensure that they are consistently pushing and deploying high quality code that complies with Federal Standards for application security and mature code practices. We're involved in the entire development lifecycle including:
- Tools for creating and setting up new projects consistently across the org.
- CI pipelines and build tools for consistent expectations across languages and application frameworks
- Testing frameworks and metrics to assure only quality and secure code can be sent to production.
- Deployment and publishing pipelines to bring applications to their users in on-premises and cloud environments, and to provide public access to Open Source projects.
- Integrations for the secure management of deployment parameters, credentials, and more.
- Tooling to allow applications to communicate asynchronously, monitor performance metrics, debug live applications and much more.
What you'll do
As an Platform DevEx engineer, you'll be a part of a cross-functional team of around 20, building and maintaining tools and systems that allow developers across NCBI to build, deploy, and maintain software and web services that are used around the world.
You should be prepared to work on:
- GitLab CI pipeline configuration, templates, and components to build a standardized ecosystem for developers across the organization to use for their applications, in many languages, from C++ to Scala, Kotlin, and Python.
- Python applications, scripts, and libraries to provide interfaces for DevOps and customer tools to manage builds, deployments, and more.
- Kubernetes configuration templates using the YTT templating language to create and maintain customizable patterns for consistent deployments across application teams
- Debugging deployments on Kubernetes distributions like Openshift and Anthos and using plugins like ArgoCD, Istio, and more.
- Documentation knowledge bases for each component project and the DevEx platform as a whole, in READMEs and on Confluence.
- Leading smaller projects within the DevEx teams to add new capabilities to the platform.
What we look for
While we have roles at all levels of experience, we are looking for proactive developers with some experience building software or maintaining DevOps infrastructure and a strong interest in learning more.
Required Skills
- Strong coding fluency in at least one programming language. NCBI uses Python, C++, JavaScript/Typescript, some Kotlin & Scala, and small amounts of Golang and Rust.
- A working knowledge of Linux systems and the command line
- Familiarity with source control, CI/CD pipelines, package publishing, and containerization
Preferred skills and experience
- Experience developing CLI applications
- Experience building and deploying web APIs to cloud services or Kubernetes
- Familiarity with container orchestration tools like Kubernetes or Nomad, and Kubernetes distributions like OpenShift Container Platform, Anthos, GKE, AKS, EKS, etc.
- Familiarity with observability tools like Prometheus, the EFK (ElasticSearch, fluentd, Kibana) or TIGK (Telegraph InfluxDB, Grafana, Kapacitor) stacks, DataDog, Sensu, Jaeger, Sentry, or OpsGenie.
- Familiarity with GitLab CI/CD pipelines
Bonus skills and experience
- Experience building high availability applications
- Experience configuring multi-tenent Kubernetes clusters
- Familiarity with Service Mesh techlolgies like Istio or Linkerd
- Familiarity with event bus technologies like Kafka, RabbitMQ, AWS Kenesis, etc.
- Familiarity with data processing and distributed computing tools like Apache Spark or Airflow
- Familiarity with secret management tools like Hashicorp Vault, Azure KeyVault, Google Secret Manager, etc.
Benefits and Salary
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.
We offer a competitive salary commensurate with experience and location. The targeted range for this position is $115,000 - $150,000.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Ready to apply?
Apply to Black Canyon Consulting