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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # API Developer/Data Engineer Managing Consultant-Fraud/AI - **Company:** CareerCircle - **Location:** Arlington, VA, United States - **Experience:** Expert - **Salary:** $102,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Amazon S3, Business Analytics Applications, Apache HTTP Server, Confluence, JIRA, Microsoft Azure, Big Data, C Sharp (Programming Language), Cloud Computing, Cloud Computing Security, Collaborative Software, Information Systems, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Migration, Data Structures, Data Visualization, DevOps, Document-Oriented Databases, Elasticsearch, Github, Interoperability, JSON, Python (Programming Language), PostgreSQL, Machine Learning, Apache Maven, Metadata, Meta-Data Management, Microsoft SQL Server, MongoDB, MySQL, NoSQL, Oracle (Applications), Scrum Methodology, Role-Based Access Control, Software Tools, Cloud Services, Salesforce.Com, Search Technologies, Simple Object Access Protocol (SOAP), Software Engineering, SQL Stored Procedures, SQL Databases, Systems Integration, Tableau (Software), Unstructured Data, Extensible Markup Language (XML), Lexis, Parquet, Data Logging, Data Processing, System Availability, Spring-boot, Apigee, Git, Containerization, Pyspark, Kubernetes, Information Technology, Bitbucket, Cloud Migration, Api Design, Cloudwatch, Api Gateway, Kibana, Restful APIs, Amazon Simple Queue Service (SQS), Splunk, Software Version Control, Data Pipelines, Api Management, Docker, Jenkins, Amazon Redshift, Databricks, Programming Languages, Microservices - **Published:** August 5, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/va/mclean/27c26481-e97c-4bb2-9414-1117420bc950 ## About the Role * U.S. Citizenship/ Green Card is required. * A bachelor's degree is required. * Minimum of EIGHT (8) years of experience in data engineering, software development, or related roles. * Proficiency in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP). * Strong hands-on experience designing and developing data pipelines and ETL processes. * Extensive experience with relational and NoSQL databases, such as Oracle, MySQL, PostgreSQL, SQL Server, and MongoDB, including data modeling and stored procedure development. * Demonstrated experience with AWS cloud services, including S3, Redshift, Lambda, ECS, and SQS. * Experience working with Databricks and large-scale data processing environments. * Familiarity with containerization and orchestration technologies, including Docker and Kubernetes. * Experience with CI/CD tools and pipelines, such as Jenkins, Maven, Git, GitHub, and Bitbucket. * Hands-on experience with monitoring and logging tools, including Splunk, CloudWatch, Kibana, and Elasticsearch. * Proven experience operating in Agile development environments. * Familiarity with version control and collaboration tools, including Git, Jira, and Confluence. * Ability to work independently in a fast-paced environment. * Strong analytical and troubleshooting skills. * Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences. What Would Be Nice To Have: * Experience supporting federal programs and/or large-scale data modernization projects. * Certifications in AWS, or other cloud/data engineering domains. * Experience with data visualization tools (e.g., Kibana, Tableau). * Familiarity with security best practices and compliance in federal environments. * Experience with microservices, Spring Boot, and integration of AI/ML components. * Previous consulting experience ## Description NoSQL MySQL CI/CD Loans Splunk Github Kibana MongoDB Jenkins PySpark Amazon S3 Pipelines Consulting Kubernetes Databricks PostgreSQL Scalability RESTful API Spring Boot Data Quality Data Science Apache Maven Communication Microservices Data Modeling Cloud Services Data Migration Data Pipelines Version Control Microsoft Azure Data Processing Amazon Redshift Machine Learning Containerization Data Engineering Stored Procedure Agile Methodology Docker (Software) Amazon CloudWatch Data Visualization Workflow Management Amazon Web Services Software Development Programming Languages Emerging Technologies Collaborative Software Artificial Intelligence SQL (Programming Language) Java (Programming Language) Git (Version Control System) Extract Transform Load (ETL) Python (Programming Language) Ethical Standards And Conduct Troubleshooting (Problem Solving) Application Programming Interface (API) Tableau (Business Intelligence Software), Guidehouse seeks a Data Engineer to support in building, optimizing, and maintaining data pipelines, cloud-based solutions, and analytics platforms. The ideal candidate will have hands-on experience with modern data engineering tools, cloud services, CI/CD, and version control, and will collaborate with cross-functional teams to deliver high-quality, scalable data solutions. * Design, develop, and maintain robust data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources. * Build and optimize data architectures and models to support analytics, reporting, and operational needs. * Implement and manage CI/CD pipelines for data engineering workflows using tools such as Jenkins, Maven, and Git. * Develop and deploy cloud-based solutions leveraging AWS (S3, Lambda, ECS, SQS), Azure (CosmosDB, Functions), and containerization (Docker, Kubernetes). * Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs. * Ensure data quality, integrity, and security through rigorous validation, monitoring, and logging (e.g., Splunk, CloudWatch, Kibana). * Support data migration, integration, and modernization initiatives, including legacy system upgrades and cloud adoption. * Troubleshoot and resolve issues in production environments, ensuring high availability and reliability. * Document data flows, processes, and technical solutions for knowledge sharing and compliance. * Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps., Loans Apigee Auditing Metadata Consulting Governance LexisNexis User Story Encryption Ontologies Scalability RESTful API Data Quality Communication Data Modeling Schema Markup .NET Framework Data Pipelines Cloud Security Apache Parquet Data Structures Access Controls Data Governance Sprint Planning Data Validation Semantic Search Computer Science Technical Design Data Integration Machine Learning Data Engineering Interoperability Agile Methodology Quality Assurance Unstructured Data Amazon API Gateway Systems Integration Information Privacy Information Systems Metadata Management Document Processing Data Transformation Azure API Management Technical Requirements Artificial Intelligence C# (Programming Language) SQL (Programming Language) Product Family Engineering Java (Programming Language) Python (Programming Language) Ethical Standards And Conduct Extensible Markup Language (XML) Role-Based Access Control (RBAC) JavaScript (Programming Language) Application Programming Interface (API) +0 Google IT Automation with Python Salesforce Developer Data Engineer Guidehouse McLean, VA*On-Site JIRA NoSQL MySQL CI/CD Loans Splunk Github Kibana MongoDB Jenkins PySpark Amazon S3 Pipelines Consulting Kubernetes Databricks PostgreSQL Scalability RESTful API Spring Boot Data Quality Data Science Apache Maven Communication Microservices Data Modeling Cloud Services Data Migration Data Pipelines Version Control Microsoft Azure Data Processing Amazon Redshift Machine Learning Containerization Data Engineering Stored Procedure Agile Methodology Docker (Software) Amazon CloudWatch Data Visualization Workflow Management Amazon Web Services Software Development Programming Languages Emerging Technologies Collaborative Software Artificial Intelligence SQL (Programming Language) Java (Programming Language) Git (Version Control System) Extract Transform Load (ETL) Python (Programming Language) Ethical Standards And Conduct Troubleshooting (Problem Solving) Application Programming Interface (API) Tableau (Business Intelligence Software) +0 Salesforce Developer API Developer/Data Engineer Managing Consultant-Fraud/AI Guidehouse McLean, VA*On-Site JSON Loans Apigee Auditing Metadata Consulting Governance LexisNexis User Story Encryption Ontologies Scalability RESTful API Data Quality Communication Data Modeling Schema Markup .NET Framework Data Pipelines Cloud Security Apache Parquet Data Structures Access Controls Data Governance Sprint Planning Data Validation Semantic Search Computer Science Technical Design Data Integration Machine Learning Data Engineering Interoperability Agile Methodology Quality Assurance Unstructured Data Amazon API Gateway Systems Integration Information Privacy Information Systems Metadata Management Document Processing Data Transformation Azure API Management Technical Requirements Artificial Intelligence C# (Programming Language) SQL (Programming Language) Product Family Engineering Java (Programming Language) Python (Programming Language) Ethical Standards And Conduct Extensible Markup Language (XML) Role-Based Access Control (RBAC) JavaScript (Programming Language) Application Programming Interface (API) +0 Google IT Automation with Python Salesforce Developer Login | JoinContact ## Related Videos - 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