Overview DecisionPoint seeks a DevSecOps Engineer (Data & Integration) to support automation, security, and monitoring of data integration and analytics platforms within a secure, cloud-hosted Department of Defense (DoD) enterprise environment. The engineer will design, implement, and maintain CI/CD pipelines, containerized workloads, and infrastructure automation supporting critical data ingestion, transformation, and exchange services. This position ensures seamless deployment, secure data flow, and operational stability across AWS GovCloud IL4/IL5 environments, applying Zero Trust principles and continuous compliance monitoring throughout the software delivery lifecycle. This position is fully remote. Note: By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid. Duties & Responsibilities The DevSecOps Engineer (Data & Integration) will: - Design, implement, and maintain CI/CD pipelines to automate build, test, and deployment processes for data integration and analytics components. - Support secure and efficient data pipeline deployment across AWS GovCloud and DoD environments. - Implement Infrastructure as Code (IaC) using Terraform, CloudFormation, or Ansible to manage and provision infrastructure at scale. - Build, configure, and maintain containerized applications using Docker and Kubernetes for data ingestion, transformation, and API services. - Integrate security scanning and compliance validation into CI/CD pipelines using tools such as SonarQube, Twistlock, or Anchore. - Implement and manage monitoring and alerting systems (CloudWatch, ELK Stack, Prometheus, Grafana) to ensure system health and performance. - Collaborate with developers, data engineers, and security teams to ensure DevSecOps best practices are applied across integration workflows. - Support continuous integration testing for data migration, transformation, and interoperability validation. - Maintain configuration baselines and deployment artifacts in compliance with DoD RMF and STIG standards. - Automate backup, recovery, and failover procedures to ensure mission resilience and data availability. - Provide Tier 3 technical support for deployment troubleshooting, root cause analysis, and remediation. - Develop and maintain technical documentation for CI/CD pipelines, IaC templates, and operational runbooks. - Contribute to Continuous Service Improvement (CSI) activities and DevSecOps maturity assessments. Qualifications Clearance Requirement: - Must hold an active Top Secret clearance. Education: - Bachelor’s degree in Computer Science, Information Technology, or a related technical field. Experience: - Minimum 5 years of experience supporting DevSecOps, cloud infrastructure, or data integration environments. - Experience building and managing CI/CD pipelines and infrastructure in federal or defense cloud environments. - Demonstrated success deploying and maintaining secure, containerized applications and data services. Technical Knowledge: - Proficiency with AWS GovCloud, container orchestration (Docker, Kubernetes), and serverless technologies. - Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or AWS CodePipeline. - Familiarity with Terraform, CloudFormation, or other IaC automation frameworks. - Experience with log management and monitoring using CloudWatch, ELK Stack, or Prometheus. - Understanding of DevSecOps principles, Zero Trust architecture, and RMF/STIG security compliance. - Familiarity with data engineering workflows, including ETL, API integration, and data synchronization. - Knowledge of networking, security groups, IAM roles, and encryption mechanisms within DoD or FedRAMP cloud environments. Certifications (Preferred): - AWS Certified DevOps Engineer – Professional or Associate. - CompTIA Security+ CE or equivalent DoD 8570 certification. - Certified Kubernetes Administrator (CKA) or Docker Certified Associate (DCA). Skills: - Strong analytical and troubleshooting skills for complex cloud and integration environments. - Excellent communication and teamwork across cross-functional Agile teams. - Ability to design, implement, and optimize secure automation processes. - Commitment to continuous improvement, security enforcement, and mission readiness. Our Equal Employment Opportunity Policy - EEO and Affirmative Action Policy: DecisionPoint Corporation is an Equal Employment Opportunity and Affirmative Action employer. It is the policy of DecisionPoint Corporation to provide equal employment opportunity in accordance with all applicable Equal Employment Opportunity/Affirmative Action laws, directives and regulations to all employees and qualified applicants without regard to race, ethnicity, color, religion, national origin, sex, age, disability status, pregnancy, sexual orientation, gender identity, genetic information, protected veteran status, or any other protected status under Federal, State or Local laws. - Pay Transparency Policy: In accordance with Presidential Executive Order 13665, DecisionPoint Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. - Authorization to Share Resume and Personal Information: By expressing your interest and submitting your resume for this position, you authorize DecisionPoint Corporation to share your resume, as well as personal information included on the resume, with its subsidiaries, affiliates and teaming partners for the purpose of considering you for this position and other available positions requiring comparable skills, education and experience. Should DecisionPoint Corporation. or its affiliates and teaming partners wish to initiate pre-employment discussions, you will be asked to complete an employment application and related employment documents.

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Middle Data Engineer specialized in Azure Databricks to join our data platform team. The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence. Key responsibilities: - Design, develop, and maintain data pipelines using Azure Databricks - Build and optimize data transformations using PySpark and SQL in Databricks - Implement and maintain Lakehouse architectures using Delta Lake - Develop ETL/ELT pipelines orchestrated through Azure Data Factory - Integrate data from multiple sources into the data platform and analytical layers - Design and maintain data models and data warehouse structures for analytics - Ensure data quality, scalability, and performance of large-scale data processing pipelines - Collaborate with BI teams to support Power BI and reporting platforms - Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required - Contribute to the design of modern cloud-based data architectures Qualifications - 3+ years of experience in Data Engineering or Data Warehouse development - Strong experience with Azure Databricks - Experience developing data pipelines using PySpark and Spark SQL - Solid understanding of distributed data processing and big data concepts - Experience working with Delta Lake and Lakehouse architectures - Strong SQL skills and experience with SQL Server relational databases - Experience building data pipelines using Azure Data Factory - Experience handling large datasets and performance optimization Nice to have - Experience with Spark optimization techniques (partitioning, caching, cluster tuning) - Experience with structured streaming in Databricks - Knowledge of CI/CD pipelines for data platforms (Azure Devops) - Familiarity with Power BI - Experience in migrating from traditional ETL process to cloud architectures Additional Information We offer: - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Middle Data Engineer specialized in Azure Databricks to join our data platform team. The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence. Key responsibilities: - Design, develop, and maintain data pipelines using Azure Databricks - Build and optimize data transformations using PySpark and SQL in Databricks - Implement and maintain Lakehouse architectures using Delta Lake - Develop ETL/ELT pipelines orchestrated through Azure Data Factory - Integrate data from multiple sources into the data platform and analytical layers - Design and maintain data models and data warehouse structures for analytics - Ensure data quality, scalability, and performance of large-scale data processing pipelines - Collaborate with BI teams to support Power BI and reporting platforms - Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required - Contribute to the design of modern cloud-based data architectures Qualifications - 3+ years of experience in Data Engineering or Data Warehouse development - Strong experience with Azure Databricks - Experience developing data pipelines using PySpark and Spark SQL - Solid understanding of distributed data processing and big data concepts - Experience working with Delta Lake and Lakehouse architectures - Strong SQL skills and experience with SQL Server relational databases - Experience building data pipelines using Azure Data Factory - Experience handling large datasets and performance optimization Nice to have - Experience with Spark optimization techniques (partitioning, caching, cluster tuning) - Experience with structured streaming in Databricks - Knowledge of CI/CD pipelines for data platforms (Azure Devops) - Familiarity with Power BI - Experience in migrating from traditional ETL process to cloud architectures Additional Information We offer: - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

Company Description Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989. Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%. Job Description We are looking for a Middle Data Engineer specialized in Azure Databricks to join our data platform team. The candidate will design and develop modern data pipelines and Lakehouse architectures, leveraging Azure Databricks, Spark, and Azure Data Factory, while integrating with existing SQL Server-based data warehouse environments, also evolving our data platform towards scalable, cloud-based data architectures, enabling advanced analytics and business intelligence. Key responsibilities: - Design, develop, and maintain data pipelines using Azure Databricks - Build and optimize data transformations using PySpark and SQL in Databricks - Implement and maintain Lakehouse architectures using Delta Lake - Develop ETL/ELT pipelines orchestrated through Azure Data Factory - Integrate data from multiple sources into the data platform and analytical layers - Design and maintain data models and data warehouse structures for analytics - Ensure data quality, scalability, and performance of large-scale data processing pipelines - Collaborate with BI teams to support Power BI and reporting platforms - Support and evolve existing SQL Server data platforms and ETL solutions (SSIS) when required - Contribute to the design of modern cloud-based data architectures Qualifications - 3+ years of experience in Data Engineering or Data Warehouse development - Strong experience with Azure Databricks - Experience developing data pipelines using PySpark and Spark SQL - Solid understanding of distributed data processing and big data concepts - Experience working with Delta Lake and Lakehouse architectures - Strong SQL skills and experience with SQL Server relational databases - Experience building data pipelines using Azure Data Factory - Experience handling large datasets and performance optimization Nice to have - Experience with Spark optimization techniques (partitioning, caching, cluster tuning) - Experience with structured streaming in Databricks - Knowledge of CI/CD pipelines for data platforms (Azure Devops) - Familiarity with Power BI - Experience in migrating from traditional ETL process to cloud architectures Additional Information We offer: - Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth. - Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program. - Work From Anywhere Culture: make the most of the flexibility that comes with remote work. - Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities. - Global Impact: collaborate on impactful projects for top global clients and shape the future of industries. - Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events. - Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality. * Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.