IntelliTech LLC

Job DescriptionJob Description Location: Washington, DC Metro Area / Northern Virginia Work Schedule: Hybrid; candidates should be available to support onsite in the DC Metro Area 2-3 days per week or on an as-needed basis Clearance: Active DoD Secret clearance required; Top Secret / SCI eligibility preferred Citizenship: U.S. Citizenship required Position Overview IntelliTech is seeking a Senior Data Engineer to support a large-scale DoD data platform and analytics environment. In this role, you will design, build, maintain, and optimize scalable data pipelines and data products that enable mission-critical analytics, reporting, and downstream data use cases in a complex enterprise setting. The ideal candidate brings strong hands-on experience with Databricks, PySpark, Python, SQL, and cloud-based data engineering, along with a proven ability to work across large data environments, integrate disparate data sources, and deliver reliable, secure, and high-performing data solutions. Key Responsibilities Design, develop, and maintain scalable batch and streaming data pipelines supporting enterprise analytics and data operations. Build and optimize Databricks and PySpark workflows for ingestion, transformation, validation, and processing of large datasets. Develop robust ETL/ELT solutions across structured and unstructured data sources, including APIs, relational databases, NoSQL databases, and cloud storage. Support data modeling, pipeline orchestration, data quality, lineage, and performance tuning across the data lifecycle. Implement and maintain cloud-native data engineering solutions in environments such as AWS, Azure, or GCP. Collaborate with engineers, analysts, data scientists, and other stakeholders to support reporting, analytics, and AI/ML data preparation workflows. Integrate data pipelines into DevSecOps / CI/CD workflows and support secure, repeatable deployment practices. Troubleshoot pipeline failures, improve observability, and optimize the performance and reliability of enterprise data services. Contribute to technical documentation, engineering standards, and best practices for enterprise-scale data development. Operate effectively within Agile / SAFe delivery environments supporting mission systems. Required Qualifications Active DoD Secret clearance. Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline, and 8+ years of relevant experience; or Master's degree in a related field and 6+ years of relevant experience. Strong hands-on experience designing, building, and maintaining production-grade data pipelines and integration solutions. Strong experience with Databricks, Apache Spark, and PySpark in enterprise data environments. Strong programming skills in Python and SQL; experience with Java or similar languages is a plus. Experience implementing ETL/ELT pipelines and data integration processes across multiple sources and platforms. Experience with relational and non-relational databases, data modeling, and query optimization. Experience working in cloud-based data environments such as AWS, Azure, or GCP. Experience with source control, CI/CD pipelines, and modern software engineering practices. Ability to identify and resolve issues related to data quality, pipeline performance, and operational reliability. Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams. Preferred Qualifications Active Top Secret clearance with SCI eligibility. Experience supporting enterprise data platforms in DoD or other federal environments. Experience with data governance, metadata management, lineage, and access control concepts. Experience supporting AI/ML data preparation and feature engineering workflows. Experience with Airflow, Kafka, Docker, Kubernetes, or related orchestration and containerization technologies. Experience supporting data engineering solutions in secure or multi-environment enterprise settings. Relevant cloud or data engineering certifications. Interview Process Video interview required and may include a technical assessment. Candidates should be prepared to clearly discuss: their hands-on experience with Databricks, PySpark, Python, and SQL examples of pipelines or data applications they have built from the ground up large-scale data challenges they have solved their experience with cloud, ETL/ELT, and enterprise data engineering best practices Work Authorization / Clearance Sponsorship At this time, IntelliTech will only consider candidates who currently possess an active Secret clearance or higher. Clearance sponsorship is not available for this role. Compensation and Benefits IntelliTech is committed to fair and equitable compensation practices. The annual salary range for this position is $140,000 to $225,000, and actual compensation will be based on a variety of factors unique to each candidate, including job-related skills, relevant experience, certifications, training, and level of seniority. IntelliTech uses the full breadth of the salary range in making compensation decisions. IntelliTech also offers a comprehensive benefits package designed to support our employees' well-being and professional growth, including health, dental, and vision insurance, a 401(k) plan, paid time off, professional development opportunities, and flexible work arrangements that promote work-life balance. About IntelliTech IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. We support government and commercial clients in solving complex technical challenges through practical, mission-focused engineering and delivery excellence. Equal Opportunity Employer IntelliTech is an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We encourage all qualified candidates to apply. Powered by JazzHR aTSwV632Sv

Job DescriptionJob Description Location: Washington, DC Metro Area / Northern Virginia Work Schedule: Hybrid; candidates should be available to support onsite in the DC Metro Area 2-3 days per week or on an as-needed basis Clearance: Active DoD Secret clearance required; Top Secret / SCI eligibility preferred Citizenship: U.S. Citizenship required Position Overview IntelliTech is seeking a Data Engineer to support a large-scale DoD data platform and analytics environment. In this role, you will design, build, maintain, and optimize scalable data pipelines and data products that enable mission-critical analytics, reporting, and downstream data use cases in a complex enterprise setting. The ideal candidate brings strong hands-on experience with Databricks, PySpark, Python, SQL, and cloud-based data engineering, along with a proven ability to work across large data environments, integrate disparate data sources, and deliver reliable, secure, and high-performing data solutions. Key Responsibilities Design, develop, and maintain scalable batch and streaming data pipelines supporting enterprise analytics and data operations. Build and optimize Databricks and PySpark workflows for ingestion, transformation, validation, and processing of large datasets. Develop robust ETL/ELT solutions across structured and unstructured data sources, including APIs, relational databases, NoSQL databases, and cloud storage. Support data modeling, pipeline orchestration, data quality, lineage, and performance tuning across the data lifecycle. Implement and maintain cloud-native data engineering solutions in environments such as AWS, Azure, or GCP. Collaborate with engineers, analysts, data scientists, and other stakeholders to support reporting, analytics, and AI/ML data preparation workflows. Integrate data pipelines into DevSecOps / CI/CD workflows and support secure, repeatable deployment practices. Troubleshoot pipeline failures, improve observability, and optimize the performance and reliability of enterprise data services. Contribute to technical documentation, engineering standards, and best practices for enterprise-scale data development. Operate effectively within Agile / SAFe delivery environments supporting mission systems. Required Qualifications Active DoD Secret clearance. Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline, and 4+ years of relevant experience; or Master's degree in a related field and 2+ years of relevant experience. Strong hands-on experience designing, building, and maintaining production-grade data pipelines and integration solutions. Strong experience with Databricks, Apache Spark, and PySpark in enterprise data environments. Strong programming skills in Python and SQL; experience with Java or similar languages is a plus. Experience implementing ETL/ELT pipelines and data integration processes across multiple sources and platforms. Experience with relational and non-relational databases, data modeling, and query optimization. Experience working in cloud-based data environments such as AWS, Azure, or GCP. Experience with source control, CI/CD pipelines, and modern software engineering practices. Ability to identify and resolve issues related to data quality, pipeline performance, and operational reliability. Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams. Preferred Qualifications Active Top Secret clearance with SCI eligibility. Experience supporting enterprise data platforms in DoD or other federal environments. Experience with data governance, metadata management, lineage, and access control concepts. Experience supporting AI/ML data preparation and feature engineering workflows. Experience with Airflow, Kafka, Docker, Kubernetes, or related orchestration and containerization technologies. Experience supporting data engineering solutions in secure or multi-environment enterprise settings. Relevant cloud or data engineering certifications. Interview Process Video interview required and may include a technical assessment. Candidates should be prepared to clearly discuss: their hands-on experience with Databricks, PySpark, Python, and SQL examples of pipelines or data applications they have built from the ground up large-scale data challenges they have solved their experience with cloud, ETL/ELT, and enterprise data engineering best practices Work Authorization / Clearance Sponsorship At this time, IntelliTech will only consider candidates who currently possess an active Secret clearance or higher. Clearance sponsorship is not available for this role. Compensation and Benefits IntelliTech is committed to fair and equitable compensation practices. The annual salary range for this position is $110,000 to $180,000, and actual compensation will be based on a variety of factors unique to each candidate, including job-related skills, relevant experience, certifications, training, and level of seniority. IntelliTech uses the full breadth of the salary range in making compensation decisions. IntelliTech also offers a comprehensive benefits package designed to support our employees' well-being and professional growth, including health, dental, and vision insurance, a 401(k) plan, paid time off, professional development opportunities, and flexible work arrangements that promote work-life balance. About IntelliTech IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. We support government and commercial clients in solving complex technical challenges through practical, mission-focused engineering and delivery excellence. Equal Opportunity Employer IntelliTech is an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We encourage all qualified candidates to apply. Powered by JazzHR XnhGCiQdYg

Job DescriptionJob Description Location: Washington, DC Metro Area / Northern Virginia Work Schedule: Hybrid; candidates should be available to support onsite in the DC Metro Area 2-3 days per week or on an as-needed basis Clearance: Active DoD Secret clearance required; Top Secret clearance or SCI eligibility preferred Citizenship: U.S. Citizenship required Position Overview IntelliTech is seeking a Cloud Infrastructure / Software Engineer to support a large-scale DoD data platform and data operations environment. This role is ideal for an engineer who has hands-on experience building and sustaining secure, scalable software and platform services that enable data ingestion, data movement, orchestration, automation, and operational reliability in cloud-based mission environments. The ideal candidate brings strong experience with Python, AWS services, Kubernetes, CI/CD pipelines, DevSecOps practices, and event-driven architectures. This individual should be comfortable developing backend services and automation, deploying and operating workloads in containerized environments, and supporting secure data operations across enterprise systems. The role sits at the intersection of software engineering, cloud infrastructure, and platform operations, and is well suited for candidates who have supported modern cloud-native ecosystems with strong operational and security requirements. Key Responsibilities Design, develop, and maintain cloud-native software services and automation capabilities that support data ingestion, movement, validation, and operational workflows. Build backend services, utilities, and automation using Python to support secure, scalable data operations. Develop and maintain integrations with AWS services, APIs, storage platforms, messaging services, and backend systems. Support deployment and sustainment of services in Kubernetes and containerized environments. Build and enhance event-driven architectures to support asynchronous processing, workflow triggers, and automated system responses. Contribute to and maintain CI/CD pipelines and deployment automation supporting reliable software delivery across environments. Apply DevSecOps best practices to software development, release management, vulnerability remediation, and secure deployment workflows. Support infrastructure-aware software engineering, including logging, monitoring, observability, resiliency, and performance optimization. Collaborate with data engineers, platform engineers, analysts, and mission stakeholders to design and implement robust technical solutions. Troubleshoot and resolve issues across cloud infrastructure, application services, integrations, and operational workflows. Document services, deployment patterns, interfaces, and operational procedures to support maintainability and sustainment. Required Qualifications Active DoD Secret clearance. Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical discipline and 8+ years of relevant experience; or Master's degree in a related field and 6+ years of relevant experience. Strong hands-on experience with Python for backend development, automation, and service integration. Experience working with AWS cloud services such as S3, Lambda, RDS, Redshift, SQS, SNS, CloudWatch, IAM, or similar services. Experience deploying or supporting applications in Kubernetes and containerized environments. Experience building and maintaining CI/CD pipelines and supporting automated software delivery workflows. Experience working in DevSecOps environments with an understanding of secure software delivery and operational controls. Experience designing or supporting event-driven architectures and asynchronous processing patterns. Experience building software applications or platform services that support data processing, integration, automation, or operational workflows. Experience integrating with APIs, cloud services, storage systems, and backend platforms. Strong troubleshooting and problem-solving skills in cloud and distributed system environments. Excellent communication and collaboration skills, with the ability to work effectively across cross-functional technical teams. Preferred Qualifications Top Secret clearance and/or SCI eligibility. Experience supporting enterprise data platforms in DoD or other federal environments. Familiarity with cloud-based data platforms and tools such as Databricks, Spark, Delta Lake, or similar ecosystems. Experience with event-driven architectures, asynchronous processing, and workflow automation. Experience with infrastructure and container-based environments such as Docker, Kubernetes, or related technologies. Familiarity with observability, monitoring, alerting, and operational support for cloud services. Experience supporting secure data access, metadata-driven workflows, or governed data operations. Experience working in Agile or SAFe environments supporting enterprise systems. Interview Process Video interview required and may include a technical assessment. Candidates should be prepared to discuss: software services or backend systems they have built from scratch their experience with Python, AWS, APIs, automation, and cloud-native development examples of operational or infrastructure-facing problems they have solved their experience working with large-scale data environments, secure systems, or enterprise platform services how they approach debugging, reliability, and production support in cloud environments Work Authorization / Clearance Sponsorship At this time, IntelliTech will only consider candidates who currently possess an active Secret clearance or higher. Clearance sponsorship is not available for this role. Compensation and Benefits IntelliTech is committed to fair and equitable compensation practices. The annual salary range for this position is $140,000 to $225,000, and actual compensation will be based on a variety of factors unique to each candidate, including job-related skills, relevant experience, certifications, training, and level of seniority. IntelliTech uses the full breadth of the salary range in making compensation decisions. IntelliTech also offers a comprehensive benefits package designed to support our employees' well-being and professional growth, including health, dental, and vision insurance, a 401(k) plan, paid time off, professional development opportunities, and flexible work arrangements that promote work-life balance. About IntelliTech IntelliTech is a dynamic and forward-thinking small business specializing in Full Stack Engineering, Data Analytics, Cloud Solutions, and DevSecOps services. We support government and commercial clients in solving complex technical challenges through practical, mission-focused engineering and delivery excellence. Equal Opportunity Employer At IntelliTech, we are committed to building a diverse and inclusive workplace. We believe a variety of backgrounds and perspectives leads to stronger teams and better solutions. IntelliTech is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, gender, age, disability, or veteran status. We encourage all qualified candidates to apply. Powered by JazzHR PpAhpoYlUV