{"schemaVersion":"jobsearcher.job.v1","id":"6945a8f219227cfb199cc163","url":"https://jobsearcher.com/jobs/6945a8f219227cfb199cc163","canonicalUrl":"https://jobsearcher.com/jobs/6945a8f219227cfb199cc163","title":"Senior Data Platform Engineer (AWS & Databricks)","description":"Job Title: Senior Data Platform Engineer (AWS & Databricks) Location: Reston VA (3 Days onsite Per week) Duration: 12+ Months Contract Job id – 177268 Job Description We are seeking a Data Platform Infrastructure Engineer with 6+ years of experience and strong AWS cloud skills and hands-on experience supporting modern data platforms such as AWS EMR, AWS Glue, and Databricks across development, test, and production environments. This resource will be responsible for building, configuring, and maintaining secure, scalable, and production-ready data platform infrastructure. The role requires experience with AWS services, data processing platforms, infrastructure automation, CI/CD support, monitoring, resiliency, governance, and platform optimization. Key Responsibilities Design, implement, and manage cloud-based data platform infrastructure across development, test, and production environments Work with AWS services such as IAM, VPC, S3, KMS, CloudWatch, Lambda, EMR, Glue, and related networking/security services Provision, configure, and support data processing platforms including EMR, Glue, and Databricks Implement secure networking, connectivity, encryption, and access controls Manage identity, role-based access, secrets, and platform security configurations Support data governance, cataloging, metadata management, and storage integration Automate infrastructure deployment and configuration using Terraform Support CI/CD processes for platform deployment and environment promotion in GitLab Establish monitoring, alerting, logging, and operational support processes Support resiliency, disaster recovery, backup, and recovery planning activities Define and enforce cost, performance, security, and usage guardrails for the platform Required Experience Development Experience with Python and PySpark Experience managing Databricks platform infrastructure Experience with AWS services and developing solutions in the AWS cloud, including but not limited to: EC2, Lambda, S3, EFS, Glue, EMR, CloudWatch, IAM Experience with AI-assisted development tools and practices Desired Experience Strong written and verbal communication skills. Self-driven individual with the ability to take initiative, demonstrate accountability, and assume responsibility. Ability to work independently with minimal guidance or supervision. Ability to learn quickly and master new technical and business areas. ience supporting modern data platforms such as AWS EMR, AWS Glue, and Databricks across development, test, and production environments. This resource will be responsible for building, configuring, and maintaining secure, scalable, and production-ready data platform infrastructure. The role requires experience with AWS services, data processing platforms, infrastructure automation, CI/CD support, monitoring, resiliency, governance, and platform optimization. Key Responsibilities Design, implement, and manage cloud-based data platform infrastructure across development, test, and production environments Work with AWS services such as IAM, VPC, S3, KMS, CloudWatch, Lambda, EMR, Glue, and related networking/security services Provision, configure, and support data processing platforms including EMR, Glue, and Databricks Implement secure networking, connectivity, encryption, and access controls Manage identity, role-based access, secrets, and platform security configurations Support data governance, cataloging, metadata management, and storage integration Automate infrastructure deployment and configuration using Terraform Support CI/CD processes for platform deployment and environment promotion in GitLab Establish monitoring, alerting, logging, and operational support processes Support resiliency, disaster recovery, backup, and recovery planning activities Define and enforce cost, performance, security, and usage guardrails for the platform Required Experience Development Experience with Python and PySpark Experience managing Databricks platform infrastructure Experience with AWS services and developing solutions in the AWS cloud, including but not limited to: EC2, Lambda, S3, EFS, Glue, EMR, CloudWatch, IAM Experience with AI-assisted development tools and practices Desired Experience Strong written and verbal communication skills. Self-driven individual with the ability to take initiative, demonstrate accountability, and assume responsibility. Ability to work independently with minimal guidance or supervision. Ability to learn quickly and master new technical and business areas. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $75-80/hr. The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com Add your LinkedIn Hashtag at end of the job description #LI-HY1","company":"Pinnacle Technical Resources","rawCompany":"pinnacle technical resources","city":"Reston","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-06-18T23:40:22.555Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Platform Engineer (AWS & Databricks)","description":"Job Title: Senior Data Platform Engineer (AWS & Databricks) Location: Reston VA (3 Days onsite Per week) Duration: 12+ Months Contract Job id – 177268 Job Description We are seeking a Data Platform Infrastructure Engineer with 6+ years of experience and strong AWS cloud skills and hands-on experience supporting modern data platforms such as AWS EMR, AWS Glue, and Databricks across development, test, and production environments. This resource will be responsible for building, configuring, and maintaining secure, scalable, and production-ready data platform infrastructure. The role requires experience with AWS services, data processing platforms, infrastructure automation, CI/CD support, monitoring, resiliency, governance, and platform optimization. Key Responsibilities Design, implement, and manage cloud-based data platform infrastructure across development, test, and production environments Work with AWS services such as IAM, VPC, S3, KMS, CloudWatch, Lambda, EMR, Glue, and related networking/security services Provision, configure, and support data processing platforms including EMR, Glue, and Databricks Implement secure networking, connectivity, encryption, and access controls Manage identity, role-based access, secrets, and platform security configurations Support data governance, cataloging, metadata management, and storage integration Automate infrastructure deployment and configuration using Terraform Support CI/CD processes for platform deployment and environment promotion in GitLab Establish monitoring, alerting, logging, and operational support processes Support resiliency, disaster recovery, backup, and recovery planning activities Define and enforce cost, performance, security, and usage guardrails for the platform Required Experience Development Experience with Python and PySpark Experience managing Databricks platform infrastructure Experience with AWS services and developing solutions in the AWS cloud, including but not limited to: EC2, Lambda, S3, EFS, Glue, EMR, CloudWatch, IAM Experience with AI-assisted development tools and practices Desired Experience Strong written and verbal communication skills. Self-driven individual with the ability to take initiative, demonstrate accountability, and assume responsibility. Ability to work independently with minimal guidance or supervision. Ability to learn quickly and master new technical and business areas. ience supporting modern data platforms such as AWS EMR, AWS Glue, and Databricks across development, test, and production environments. This resource will be responsible for building, configuring, and maintaining secure, scalable, and production-ready data platform infrastructure. The role requires experience with AWS services, data processing platforms, infrastructure automation, CI/CD support, monitoring, resiliency, governance, and platform optimization. Key Responsibilities Design, implement, and manage cloud-based data platform infrastructure across development, test, and production environments Work with AWS services such as IAM, VPC, S3, KMS, CloudWatch, Lambda, EMR, Glue, and related networking/security services Provision, configure, and support data processing platforms including EMR, Glue, and Databricks Implement secure networking, connectivity, encryption, and access controls Manage identity, role-based access, secrets, and platform security configurations Support data governance, cataloging, metadata management, and storage integration Automate infrastructure deployment and configuration using Terraform Support CI/CD processes for platform deployment and environment promotion in GitLab Establish monitoring, alerting, logging, and operational support processes Support resiliency, disaster recovery, backup, and recovery planning activities Define and enforce cost, performance, security, and usage guardrails for the platform Required Experience Development Experience with Python and PySpark Experience managing Databricks platform infrastructure Experience with AWS services and developing solutions in the AWS cloud, including but not limited to: EC2, Lambda, S3, EFS, Glue, EMR, CloudWatch, IAM Experience with AI-assisted development tools and practices Desired Experience Strong written and verbal communication skills. Self-driven individual with the ability to take initiative, demonstrate accountability, and assume responsibility. Ability to work independently with minimal guidance or supervision. Ability to learn quickly and master new technical and business areas. About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to: Pay any fee to be considered for, submitted to, or selected for any opportunity. Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process. Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup. Pay Range: $75-80/hr. The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global, do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com Add your LinkedIn Hashtag at end of the job description #LI-HY1","datePosted":"2026-06-18T23:40:22.555Z","dateModified":"2026-06-18T23:40:22.555Z","hiringOrganization":{"@type":"Organization","name":"Pinnacle Technical Resources","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Reston","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6945a8f219227cfb199cc163"},"url":"https://jobsearcher.com/jobs/6945a8f219227cfb199cc163"}}