Data Engineer

Data EngineerLocation: Dahlgren, VA - Travel Required: MinimalLevel/Salary Range: $130,000 - $140,000 - Position Type: Full-TimeMandatory Job Requirements:Bachelor's degree3+ years of experience in data engineering, data science, software development, or related discipline1+ years of experience with Cloud-native data warehouse, or analytics platforms, and supporting data science applications and analytical toolsPursuant to a government contract, this specific position requires U.S. CitizenshipCurrent DoD TS/SCI clearance eligibility day one and prior to entry on dutyApplications Accepted By:Email: Michelle Might, Talent Acquisition Manager, View email address on click.appcast.io Subject Line: Data Engineer (IMC00867)The data engineer is responsible for designing, building, securing, and optimizing cloud-native data solutions in AWS that support data analytics, artificial intelligence, machine learning, and large language model (LLM) initiatives.Work Location: Onsite in Dahlgren, VA.Basic Required Qualifications and Skills:Bachelor's degree in computer science, data engineering, data science, computer engineering, or a related technical field.3+ years of experience in data engineering, data science, software development, or related discipline, including hands-on software development lifecycle (SDLC) experience.1+ years of experience with:Cloud-native data warehouse, or analytics platforms, such as Amazon Redshift, Amazon Athena, AWS Glue Data Catalog, or AWS Lake Formation.Supporting data science applications and analytical tools such as Python, Jupyter, Amazon SageMaker Studio, AWS Glue DataBrew, or Amazon QuickSight.Implementing cloud-native data security controls, including IAM, encryption, and network segmentation.Experience preparing data for data scientists, including data preparation, feature engineering, and model-ready dataset construction.Ability to meet DoD 8140.03 requirements for the applicable work role, including Data Architect (Intermediate) or equivalent.Ability to obtain and maintain a TS/SCI with SAP eligibility.Pursuant to a government contract, this specific position requires U.S. Citizenship.All applicants must have current DoD TS/SCI clearance eligibility day one and prior to entry on duty.Desired Qualifications and Skills:Experience with:Amazon Bedrock, Knowledge Bases, RAG architectures, agentic services, or LLM prompt and token optimization.AWS Security Hub, Amazon GuardDuty, AWS KMS, AWS IAM Identity Center, and AWS Certificate Manager.Applying NIST SP 80-53 Rev. 5 and DoD Zero Trust Architecture principals.FinOps dashboards and tools such as AWS Cost Explorer, AWS Budgets, and AWS Cost and Usage ReportsData discovery, federated search, geospatial or non-geospatial search, and knowledge-management solutions.Supporting classified or highly regulated DoD environments.AWS, data engineering, AI/ML, or DoD cybersecurity certifications preferred.Essential Duties and Responsibilities:Design, build, troubleshoot, and tune end-to-end cloud-native data engineering solutions within AWS.Develop and administer data ingestion, ETL, integrations, transformations, validations, publications, and data lifecycle workflows.Integrate structured and unstructured data from databases, web services, message traffic, data dumps, documents, and other sources.Design data architectures and managed data stores that support analytics, feature engineering, model training, and real-time inference.Develop solutions using AWS services, including Glue, Athena, Redshift, Kinesis, Lake Formation, Glue Data Catalog, RDS, Aurora, DynamoDB, and related technologies.Create REST APIs and web services to expose data to applications, analytics platforms, and downstream systems.Support AI/ML infrastructure, including model hosting, model-ready datasets, agentic workflow orchestration, RAG solutions, LLM integrations, and workflow orchestration.Develop automation, monitoring, alerting, and operational resilience using AWS-native tools such as CloudWatch and CloudTrail.Implement data discovery and search capabilities using services such as AWS OpenSearch, Glue Data Catalog, and Kendra.Apply FinOps best practices, including resource tagging, cost allocation, right-sizing, storage tiering, query optimization, budget monitoring, cost-per workload analysis, and AI/LLM cost tracking.Implement and maintain DoD Zero Trust and NIST 800-53 security controls across data engineering and AI environments.Configure identity and access management, least-privilege access, encryption at rest and in transit, network segmentation, certificate management, and security monitoring.Support security assessments, compliance documentation, data-flow diagrams, control mappings, and authorization activities.Gather requirements, evaluate data sources, communicate technical recommendations, and document architecture, processes, risks, costs, and implementation decisions.Develop briefings, technical proposals, operating procedures, user documentation, training materials, and knowledge-transfer products.Collaborate with government stakeholders, data scientists, analysts, cloud engineers, cybersecurity teams, and other technical personnel.Other duties as assigned.Salary and Benefits Information:Please see the salary information listed at the beginning of this document, which is not a guarantee of compensation or salary. All salaries will be based on relevant experience, geographic location, and position and/or contractual requirements, which could fall outside of the listed range.Full-time positions at IMC are eligible to participate in any or all of the benefit programs offered, including 401(k) with a 3% employer match, paid time off, paid holidays, FSA spending, dental, vision, health insurance, company-sponsored AD&D, and life insurance. Additional voluntary benefits are offered, such as voluntary life, AD&D, accident, critical illness, hospital, and pet insurance. Benefits are subject to change. Positions at IMC may also be eligible for a bonus and/or other incentives.