Pantheon Data

Design, build, and maintain reliable data pipelines for diverse data sources and collaborate with engineering teams to support AI/ML and analytics workflows. | Bachelor's degree in a technical field, 5+ years in data or software engineering, strong Python and SQL skills, and eligibility for Secret security clearance. | Company Overview Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies. Position Overview We are seeking a hands-on Data Engineer to help design, build, and operate the data foundations that support advanced analytics, AI/ML, and intelligent document processing solutions. The right candidate is a strong engineer who understands how data moves through real systems: ingestion, orchestration, transformation, quality checks, storage, query patterns, operational monitoring, and delivery to downstream applications. This person should be comfortable working across structured, semi-structured, and unstructured data, and should bring the judgment to build pipelines that are reliable, explainable, maintainable, and useful to the engineering teams and products that depend on them. The ideal candidate has strong Python and SQL skills, understands when data should be modeled for operational use versus analytical use, and can reason clearly about batch processing, event-driven pipelines, data quality, lineage, and downstream consumption. They should be able to become productive quickly in a complex engineering environment, ask good questions, and build systems that other engineers can trust and extend. Experience with AWS, vector search, document data, or AI/ML data pipelines is valuable, but the core requirement is strong data engineering judgment: knowing how to move, structure, validate, and serve data reliably in support of real products and mission needs. Responsibilities Design, build, and maintain reliable data pipelines for structured, semi-structured, and unstructured data sources. Develop Python-based processing workflows for data ingestion, normalization, validation, enrichment, and transformation. Work with SQL and relational data stores to support transactional, analytical, and application-facing use cases. Help design data models and storage patterns appropriate to the workload, including OLTP, OLAP, object storage, document-oriented, search, vector, or graph-oriented patterns when applicable. Implement orchestration and scheduling for repeatable data workflows using tools such as Airflow, AWS Step Functions, Dagster, Prefect, Glue workflows, or similar technologies. Build automated quality checks, reconciliation logic, validation reports, and operational alerts so data issues are detected early and can be diagnosed quickly. Support data pipelines that feed AI/ML, retrieval, document intelligence, analytics, and application workflows. Collaborate with machine learning engineers, software engineers, cloud engineers, and product stakeholders to turn ambiguous data problems into working software. Write maintainable code, participate in code reviews, document data flows, and contribute to engineering standards for testing, deployment, observability, and version control. Help improve the velocity of a growing engineering team by taking ownership of well-scoped data engineering work while continuing to grow into broader system ownership. Required Skills and Experience Bachelor's degree in Computer Science, Engineering, or a related technical field from an ABET accredited university. 5+ years of professional hands-on data engineering, software engineering, analytics engineering, or closely related experience. Strong Python programming skills, including experience writing maintainable production-oriented code rather than only notebooks or one-off scripts. Strong SQL skills and practical understanding of data modeling, query performance, joins, indexing, schemas, normalization/denormalization, and data quality. Understanding of core data engineering concepts, including batch processing, event-driven workflows, ETL/ELT, orchestration, idempotency, retries, backfills, lineage, and failure handling. Working knowledge of OLTP versus OLAP systems and the tradeoffs between transactional databases, analytical stores, object storage, and search-oriented systems. Experience building or supporting data pipelines that move data between systems, such as APIs, databases, files, object storage, queues, warehouses, or downstream applications. Ability to reason about data correctness, schema changes, validation, reconciliation, duplicate handling, missing data, and operational recovery. Comfortable working with Git, pull requests, code review, issue tracking, documentation, and collaborative software development practices. Strong communication skills and the ability to explain data flow, design choices, limitations, and tradeoffs to both technical and non-technical stakeholders. Ability to work effectively in a distributed, cross-functional engineering environment and produce high-quality work with limited hand-holding. Ability to meet deadlines. Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint. Preferred Skills and Experience AWS data services such as S3, Lambda, Glue, Athena, Step Functions, SQS/SNS, Kinesis, EMR, RDS, DynamoDB, Redshift, OpenSearch, or CloudWatch. Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, AWS Step Functions, Glue, or similar. Experience with PySpark, Spark, Databricks, EMR, Snowflake, Redshift, or other distributed/analytical data platforms. Experience supporting AI/ML or RAG-style data workflows, including metadata enrichment, retrieval datasets, vector search, embeddings, evaluation datasets, or human validation workflows. Experience with document-oriented or unstructured data pipelines, including PDFs, OCR output, tables, forms, images, extracted text, metadata, or search indexes. Experience with graph databases or graph-shaped data models is a plus. Experience with Docker, CI/CD, infrastructure as code, automated testing, logging, monitoring, and production support is a plus. Familiarity with data governance, access control, PII handling, auditability, lineage, and compliance-sensitive environments. Clearance Requirements Applicants selected will be subject to a security investigation and may need to meet eligibility requirements. Secret Clearance is required for continued employment. Work Location: Reston, VA - Remote Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site. If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements. Interview Requirement: Candidates who are local to the area should be prepared to participate in an in-person interview as part of the selection process. Candidates outside the local area may be considered for a virtual interview. Compensation The salary range for this position is $140,000 - $160,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Benefits Overview We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity. In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/ Pantheon Data Important Information All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020. This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster

Design, develop, and maintain front-end and back-end components for modern web applications and internal engineering tools. | Bachelor's degree and 7+ years software engineering experience with proficiency in full stack frameworks and ability to obtain security clearance. | Company Overview Pantheon Data (a Kenific Holding company) is a private, small business based in the Washington, DC, area. Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including infrastructure resiliency, contact center operations, information technology, software engineering, program management, strategic communications, engineering, and cybersecurity. We have also grown our customer base to include commercial clients. The company has used this experience to expand our service offerings to other agencies within the Department of Homeland Security (DHS), the Department of Defense (DoD), and other Federal Civilian Agencies. Position Overview We are seeking a hands-on Senior Full Stack Developer to design, build, integrate, and maintain modern software systems that support complex government and commercial technology programs. The right candidate is a strong engineer who can move comfortably across the stack: user interfaces, APIs, services, databases, cloud infrastructure, DevSecOps pipelines, observability, security controls, and system integrations. This role is intended for a senior individual contributor who can work independently, make sound implementation decisions, and help raise the technical quality of the team. The ideal candidate should show the judgment, curiosity, and ownership needed to take a loosely defined technical problem, reason through the tradeoffs, and turn it into working, maintainable software. Experience with AI/ML-enabled applications, document processing, data platforms, or secure cloud environments is valuable as well, but the core requirement is full stack engineering depth: the ability to build reliable features, understand system boundaries, debug across layers, and deliver software that is usable, secure, and supportable. Responsibilities Full Stack Application Development Design, develop, and maintain front-end and back-end components for modern web applications and internal engineering tools. Build responsive, usable interfaces using modern JavaScript/TypeScript frameworks such as React, Angular, or Vue. Develop APIs, services, and integration layers using technologies such as Python, Java/Spring Boot, Node.js, or comparable frameworks. Translate product, customer, and engineering needs into working features with clear technical designs and maintainable code. APIs, Data, and System Integration Build and integrate RESTful APIs, microservices, and data-backed application components. Work with relational and non-relational databases, search systems, object storage, and data services as required by the application architecture. Support integrations with AI/ML workflows, document processing pipelines, metadata services, graph/data systems, or retrieval-based applications where applicable. Understand how data flows through the application and help ensure that features are traceable, testable, and reliable. Cloud, DevSecOps, and Delivery Contribute to cloud-native application development using AWS, Azure, GCP, or secure government cloud environments as needed. Work within CI/CD pipelines and support automated build, test, scan, deploy, and release processes. Develop and maintain containerized applications using Docker and, where applicable, Kubernetes, Helm, or related deployment tooling. Participate in secure software development practices, including dependency scanning, static analysis, container scanning, secrets handling, and vulnerability remediation. Quality, Reliability, and Maintainability Write unit, integration, and end-to-end tests appropriate to the application and deployment environment. Debug issues across UI, API, database, infrastructure, security, and deployment layers. Support operational visibility through logging, metrics, dashboards, runbooks, and practical troubleshooting documentation. Refactor and improve existing codebases to reduce technical debt, improve security, and make systems easier to extend. Collaboration and Technical Communication Work closely with architects, data engineers, ML engineers, DevSecOps engineers, UI/UX contributors, and customer-facing team members. Communicate tradeoffs clearly to technical and non-technical stakeholders. Mentor junior developers and contribute to code review, design review, and engineering standards. Document APIs, workflows, configuration decisions, and operational procedures for future maintenance. Required Skills and Experience Bachelor's degree in Computer Science, Engineering, or a related technical field from an ABET accredited university. 7+ years of hands-on software engineering experience, with meaningful full stack development responsibility. Strong proficiency in at least one back-end language such as Python, Java/Spring Boot, Node.js/TypeScript, or a comparable modern application stack. Strong front-end development experience using React, Angular, Vue, or similar frameworks, with the ability to build usable, maintainable interfaces. Experience designing, building, and consuming RESTful APIs and service-oriented or microservice-based architectures. Practical database experience with SQL and/or NoSQL systems, including schema design, query patterns, integration, and performance considerations. Experience working in Git-based development workflows with code review, branching, pull/merge requests, and release coordination. Hands-on experience with automated testing, CI/CD pipelines, build tooling, and deployment processes. Familiarity with containerized development and deployment using Docker; Kubernetes, Helm, or GitOps experience is a strong plus. Ability to debug complex issues across application, data, infrastructure, security, and deployment boundaries. Strong written and verbal communication skills, attention to detail, and ability to work effectively in a remote or hybrid cross-functional team. Ability to meet deadlines and produce quality work. Proficient in Microsoft Suite software including Outlook, Word, Excel, SharePoint, and PowerPoint. Preferred Skills and Experience Experience developing applications in secure government, DoD, FedRAMP, air-gapped, or compliance-driven environments. Experience with AWS, Azure, or GCP application deployments, especially cloud-native applications and secure network architectures. Experience with Infrastructure as Code, DevSecOps practices, vulnerability scanning, SBOM generation, dependency management, and secure release pipelines. Experience integrating with AI/ML systems, intelligent document processing, RAG workflows, search systems, graph databases, or data-rich applications. Experience with authentication and authorization patterns such as OIDC, SSO, RBAC, ABAC, mTLS, or API gateway/reverse-proxy integration. Experience with observability tooling such as ELK/OpenSearch, Splunk, Grafana, Prometheus, CloudWatch, or similar platforms. Experience mentoring junior engineers or helping establish practical engineering standards. Clearance Requirements Applicants selected will be subject to a security investigation and may need to meet eligibility requirements. Secret Clearance is required for continued employment. Work Location: Reston, VA - Remote Our company prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If the position is remote or hybrid, you may periodically work from a Pantheon Data office location or client site. If this position is assigned to a Pantheon Data office location or client site, you'll work with colleagues and clients in person, as needed for specific client requirements. Interview Requirement: Candidates who are local to the area should be prepared to participate in an in-person interview as part of the selection process. Candidates outside the local area may be considered for a virtual interview. Compensation The salary range for this position is $145,000 - $200,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Benefits Overview We are always looking for good people! Pantheon Data is committed to providing its employees with competitive salaries and benefits in order to increase employee satisfaction and productivity. In addition to our benefits, we also offer SmartBenefits through the Washington Metro Area Transportation Authority, where you specify an amount of your pre-tax wages be paid directly to your SmarTrip account. In some cases, tuition assistance may be available for continuing education expenses and certifications related to their position. Additional details may be found at https://pantheon-data.com/careers/ Pantheon Data Important Information All qualified applicants will be considered for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law. As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to our Talent Team at Recruiting@pantheon-data.com or by phone (571) 363-4020. This company uses E-Verify to confirm each employee's work authorization. For more information, click here E-Verify Participation Poster