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  • Mid-level DevOps Engineer (TS/SCI)

    Vantor

    Data engineer job in Herndon, VA

    Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Vantor is seeking a Mid-Level DevOps Engineer located in Herndon, VA, to support the development, integration, and cybersecurity compliance of various intelligence capabilities into a Development and subsequently Production environment. You will be a member of a project team responsible for designing and maintaining multiple DevOps pipelines integrating and deploying numerous components into the larger system technology stack. Deployment will be across multiple networks into private cloud infrastructures self-hosted for our government customer. As a Vantor team member, you will closely support our mission partners, and your work will have direct mission impact. In this role, you'll work closely with other DevOps engineers, software developers, infrastructure technicians and cybersecurity professionals leveraging open-source technology to create and maintain the full stack of a High-Performance Computing (HPC) system that hosts a diverse range of applications served out to thousands of users. About Us: We are a multi-faceted technical team with expertise spanning the full stack of cloud computing technologies including systems administration, DevOps, cybersecurity, software development, and systems engineering that builds and maintains software applications backed by a self-managed cloud infrastructure with a true big-data footprint (over 10 petabytes). Our diverse background of experience in mission support and technology development and operations serves as a catalyst to solve unique and challenging intelligence problems in support of special operations analysts and their on-going activities. Prototyping and frequent, iterative feedback are core to our delivery approach, anchored by a need to work quickly in support of our missions. Principal Responsibilities: Deploy, and manage highly available applications to ensure system reliability and scalability. Implement, and maintain HashiCorp Nomad clusters and Kubernetes clusters for workload orchestration. Execute DNS configuration, management, and performance tuning for enterprise-grade systems. Develop and implement Infrastructure-as-Code (IaC) solutions using tools like Terraform, Ansible, or similar. Build and manage multiple CI/CD pipelines with GitLab or equivalent tools to automate deployments and streamline development workflows for rapid development and integration. Perform system monitoring, logging, and troubleshooting to proactively identify and resolve issues. Automate security testing and monitoring within the DevOps workflows using ACAS and Trivy. Analyze cybersecurity scan findings and work with the cybersecurity team to identify false positive findings. Assist the cybersecurity team in assembling the required Body of Evidence to submit for False Positive exceptions. Assist the cybersecurity team in assembling the required Body of Evidence to submit containerized and non-containerized software packages for enterprise software approval. Integrate static code analysis tools such as GitLab SAST, Fortify or Sonarqube and other security mechanisms into CI/CD pipelines. Build and maintain custom tools to automate cybersecurity analysis and correlation workflows as new cybersecurity compliance requirements emerge. Perform cybersecurity remediation on DevOps managed Virtual Machines to include OS patching, OS STIGing, and software package updates. Build, maintain, and monitor configuration management of release products. Troubleshoot and resolve network, automation pipelines, and infrastructure issues. Minimum Requirements: Must have a current/active TS/SCI and be willing and able to pass a CI polygraph. Must be able and willing to work in a SCIF environment in Herndon Virginia forty hours a week. Minimum of 5+ years of Industry experience as a DevOps engineer. Strong expertise in cloud environments, including deployment, optimization, and troubleshooting. Proven track record in building and operating Cloud Native Applications using tools like Kubernetes and Docker. Experience in managing, integrating and utilizing PKI certificates for user and Non-Person-Entity Authentication and Authorization. In-depth experience with IaC tools such as Terraform, Ansible, or equivalent. Solid experience in creating and managing CI/CD build pipelines using GitLab or similar tools (e.g., Jenkins, Azure DevOps). Strong scripting and automation skills using Python, Bash, or equivalent languages. Excellent problem-solving skills with attention to detail and the ability to thrive in a fast-paced environment. Experience with security best practices in DevOps pipelines (e.g., Trivy, Grype, GtiLab SAST, Sonarqube, etc.). Familiarity with monitoring tools like Prometheus, Grafana, or ELK Stack. Strong knowledge of networking and load balancing technologies. Experience with source configuration management tools such as Git. CI & CD development experience with technologies like Bash, Jenkins, or GitLab. Experience with automated deployment technologies such as Cloud Formation, Ansible, Puppet or Chef. Cloud Technologies deployment experience. Open-source application deployments and maintenance. Custom source application deployments and maintenance. Moderate LINUX system administration experience (RedHat, Rocky Linux, Alma Linux or similar)). Working knowledge of Linux and Windows operating systems, web services and SQL databases. Experience working in an Agile environment. Desired Skills: Bachelor's degree in Computer Science, Information Systems or related discipline. Master's degree in Computer Science, Information Systems or related discipline. Security+ or comparable certification for privileged user access. Experience with distributed processing methods and tools, such as REST APIs, microservices, IaaS/PaaS services. Experience developing and deploying web services. Experience in implementing Docker STIGs Experience with technical cybersecurity remediation in the context of a Continuous Monitoring (CONMON) program RHCSA or LPIC1/LPIC2 certifications or equivalent Certified Kubernetes Administrator certification Docker Certified Associate #LI-CJ1 #cjpost #LI-Onsite Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The base pay for this position within the Washington, DC metropolitan area is: $113,000.00 - $188,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: ****************************** The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
    $113k-188k yearly 3d ago
  • Forward Deployed Software Engineer I

    Vantor

    Data engineer job in Herndon, VA

    Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Vantor is seeking a mission driven Forward Deployed Software Engineer to support new US Army Programs with novel 3D software solutions. This individual will act as a technical bridge between our engineering teams and end users, integrating our software alongside partner capabilities, engaging with customer environments, learning the systems inside and out, and shaping real-world solutions in direct collaboration with the customer. You'll be hands-on with Vantor's advanced 3D capabilities, integrating and optimizing our technology in new ways to meet the fast-paced, dynamic needs of warfighters prototyping new Army functions. This role demands technical adaptability, strong communication skills, and a proactive mindset to solve challenges in the field and provide immediate feedback to internal teams. Responsibilities: Deploy to CONUS customer locations to support US Army operational needs, training, and mission exercises. Rapidly learn and troubleshoot the Vantor tech stack, with emphasis on geospatial platforms, data integration, and rapidly enabling end-user workflows. Serve as a liaison between Vantor's product teams and Army end users, providing real-time feedback and shaping development roadmaps. Collaborate with cross-functional teams (Product, Engineering, PMO) to deliver customer-specific configurations and technical solutions. Support fielding, onboarding, and adoption of new capabilities. Translate complex customer needs into actionable technical requirements. Provide technical demos, documentation, and hands-on training. Maintain a high standard of cybersecurity, data integrity, and operational discipline in line with DoD requirements. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent experience). Secret Clearance (Ability to obtain TS/SCI). 2+ Years Relevant Experience. Proficient in one or more languages: Python, JavaScript, Go, C++, or similar. Comfort with Linux-based systems, cloud architectures, and containerized deployments (Docker, Kubernetes, etc.). Experience supporting or interacting with DoD programs, ideally in a forward or fielded capacity. Strong communication skills with ability to build trust across technical and non-technical stakeholders. Ability to travel up to 25-50% and support occasional after-hours mission requirements. Preferred Qualifications: Prior experience supporting Army or joint tactical missions. Familiarity with GIS, 3D terrain, or mission command platforms. Understanding of cybersecurity standards (e.g., RMF, CMMC). Current or prior military service or operational support background. Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate's starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range. ● The base pay for this position within the Washington, DC metropolitan area is: $90,000.00 - $150,000.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: ****************************** The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
    $90k-150k yearly 4d ago
  • Data Scientist - ML, Python

    Avance Consulting 4.4company rating

    Data engineer job in McLean, VA

    10+years of experience required in Information Technology. Python Programming: At least 5 years of hands-on experience with Python, particularly in frameworks like FastAPI, Django, Flask, and experience using AI frameworks. • Access Control Expertise: Strong understanding of access control models such as Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC). • API and Connector Development: Experience in developing API connectors using Python for extracting and managing access control data from platforms like Azure, SharePoint, Java, .NET, WordPress, etc. • AI and Machine Learning: Hands-on experience integrating AI into applications for automating tasks such as access control reviews and identifying anomalies • Cloud and Microsoft Technologies: Proficiency with Azure services, Microsoft Graph API, and experience integrating Python applications with Azure for access control reviews and reporting. • Reporting and Visualization: Experience using reporting libraries in Python (Pandas, Matplotlib, Plotly, Dash) to build dashboards and reports related to security and access control metrics. • Communication Skills: Ability to collaborate with various stakeholders, explain complex technical solutions, and deliver high-quality solutions on time. • PlainID: Experience or familiarity with PlainID platforms for identity and access management. • Azure OpenAI: Familiarity with Azure OpenAI technologies and their application in access control and security workflows. • Power BI: Experience with Microsoft Power BI for data visualization and reporting. • Agile Methodologies: Experience working in Agile environments and familiarity with Scrum methodologies for delivering security solutions.
    $76k-111k yearly est. 2d ago
  • Data Engineer

    The Ash Group

    Data engineer job in Falls Church, VA

    *** W2 Contract Only - No C2C - No 3rd Parties *** The Ash Group is hiring a new Programmer Analyst Principal (Data Engineer) for our client (a global leader providing advanced systems and support in defense, aerospace, and security) based in Falls Church, VA. In this role, you'll be designing, implementing, and optimizing large-scale data systems and ETL pipelines, with a strong focus on using Amazon Redshift and AWS services to ensure data quality and integrity for complex defense programs. Compensation, Benefits, and Role Info Competitive pay rate of $65 per hour. Medical, dental, vision, direct primary care benefits, and, after six months of employment, a 4% matched 401(k) plan with immediate 100% vesting. Type: 12-month contract with potential extension or conversion. Location: On-site in Falls Church, VA. What You'll Be Doing Design and implement large-scale ETL data pipelines using AWS Glue and Python/PySpark to ingest, transform, and load data from various sources. Build and maintain robust data warehouses, focusing on Amazon Redshift, including data modeling and governance. Write and optimize complex, highly-performant SQL queries across large datasets (Redshift, Oracle, SQL Server). Collaborate with cross-functional teams (data scientists, analysts) to understand requirements and deliver end-to-end data solutions. Troubleshoot, optimize performance, and resolve data-related issues like pipeline failures and data quality bottlenecks. What We're Looking For 8+ years of hands-on experience in data engineering, focusing on designing and implementing large-scale data systems. 5+ years of experience in building production-level ETL pipelines using AWS Glue and Python/PySpark. Deep proficiency in SQL, including query optimization, indexing, and performance tuning across data warehouses like Amazon Redshift. Strong understanding of database design principles, data modeling (star/snowflake schemas), and data governance. Experience with data processing/orchestration frameworks such as Apache Airflow, Apache Kafka, or Fivetran. If you're a seasoned data engineering professional passionate about building scalable data solutions and driving innovation in cloud-based environments, we want to hear from you. This is an exciting opportunity to work on cutting-edge technologies, collaborate with cross-functional teams, and make a meaningful impact on data-driven decision-making. Apply now to be part of a forward-thinking organization where your expertise will shape the future of our data infrastructure. #DataEngineer #DataEngineering #AWSEngineer #Redshift #ETL #PySpark #DataPipeline #Westminster #ColoradoJobs #Contract
    $65 hourly 20h ago
  • Data Scientist

    Kavaliro 4.2company rating

    Data engineer job in McLean, VA

    Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support. The candidate MUST have experience designing and building data infrastructure, developing data pipelines, transforming and preparing data, ensuring data quality and security, and monitoring and optimizing systems. The candidate MUST have extensive experience with Python and AWS. Experience with SQL, multi-data source queries with database technologies (PostgreSQL, MySQL, RDS, etc.), NiFi, Git, Elasticsearch, Kibana, Jupyter Notebooks, NLP, AI, and any data visualization tools (Tableau, Kibana, Qlik, etc.) are desired. Required Skills and Demonstrated Experience Demonstrated experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems. Demonstrated experience with data management and integration, including designing and perating robust data layers for application development across local and cloud or web data sources. Demonstrated work experience programming with Python Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics. Demonstrated experience with general Linux computing and advanced bash scripting Demonstrated experience with SQL. Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS Demonstrated experience processing data sources containing structured or unstructured data Demonstrated experience developing data pipelines with NiFi to bring data into a central environment Demonstrated experience delivering results to stakeholders through written documentation and oral briefings Demonstrated experience using code repositories such as Git Demonstrated experience using Elastic and Kibana Demonstrated experience working with multiple stakeholders Demonstrated experience documenting such artifacts as code, Python packages and methodologies Demonstrated experience using Jupyter Notebooks Demonstrated experience with machine learning techniques including natural language processing Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats Demonstrated experience developing tested, reusable and reproducible work Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics Desired Skills and Demonstrated Experience Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture. Demonstrated experience using big data processing tools such as Apache Spark or Trino Demonstrated experience with machine learning algorithms Demonstrated experience with using container frameworks such as Docker or Kubernetes Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields Location: McLean, Virginia This position is onsite and there is no remote availability. Clearance: TS/SCI with Full Scope Polygraph Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements. Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
    $74k-105k yearly est. 20h ago
  • Senior Data Engineer.

    Pyramid Consulting, Inc. 4.1company rating

    Data engineer job in McLean, VA

    Immediate need for a talented Senior Data Engineer. This is a 06+months contract opportunity with long-term potential and is located in Mclean, VA(Remote). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-84666 Pay Range: $64 - $68/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Demonstrate ability in implementing data warehouse solutions using modern data platforms such as Client, Databricks or Redshift. Build data integration solutions between transaction systems and analytics platforms. Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs. Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting. Fundamental understanding of building of data products by data enrichment and ML. Act as a team player and share knowledge with the existing team members. Key Requirements and Technology Experience: Key skills; Python, AWS, SNOWFLAKE Bachelor's degree in computer science or a related field. Minimum 5 years of experience in building data driven solutions. At least 3 years of experience working with AWS services. Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position. Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools. Strong scripting experience using Python and SQL. Working knowledge of foundational AWS compute, storage, networking and IAM. Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus. Solid scripting experience in AWS using Lambda functions. Knowledge of CloudFormation template preferred. Hands-on experience with popular cloud-based data warehouse platforms such as Redshift and Client. Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services. Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions. Experience with one or more data integration tools such as Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc. Strong understanding of data security - authorization, authentication, encryption, and network security. Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc. preferred. Experience with AWS SageMaker family of services or similar tools to develop machine learning models preferred. Strong written and verbal communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts. Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures. Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables. Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions. Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
    $64-68 hourly 20h ago
  • Principal Data Scientist with Gen AI

    Lorvenk Technologies

    Data engineer job in McLean, VA

    Title: Principal Data Scientist with Gen AI Contract: W2 Exp: 10+ Duration: Long Term Interview Mode: In-Person interview Call Notes: Looking for a Principal Data Scientist with strong focus on Generative AI (GenAI) with expertise in Machine Learning transitioned into GenAI. Need someone with good experience in RAG, Python- Jupyter, other Software knowledge, using agents in workflows, strong understanding of data. Someone with advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. Highly preferred for someone who can built AI agent, MCP, A2A, Graph Rag, deployed Gen AI applications to production. Top Skills: Machine Learning & Deep Learning - Required GenAI - Required Python - Required Rag and/or Graph Rag - Required MCP (Model Context Protocol) and A2A (Agent-to-Agent) is highly preferred Job Description: We are seeking a highly experienced **Principal Gen AI Scientist** with a strong focus on **Generative AI (GenAI)** to lead the design and development of cutting-edge AI Agents, Agentic Workflows and Gen AI Applications that solve complex business problems. This role requires advanced proficiency in Prompt Engineering, Large Language Models (LLMs), RAG, Graph RAG, MCP, A2A, multi-modal AI, Gen AI Patterns, Evaluation Frameworks, Guardrails, data curation, and AWS cloud deployments. You will serve as a hands-on Gen AI (data) scientist and critical thought leader, working alongside full stack developers, UX designers, product managers and data engineers to shape and implement enterprise-grade Gen AI solutions. Key Responsibilities: * Architect and implement scalable AI Agents, Agentic Workflows and GenAI applications to address diverse and complex business use cases. * Develop, fine-tune, and optimize lightweight LLMs; lead the evaluation and adaptation of models such as Claude (Anthropic), Azure OpenAI, and open-source alternatives. * Design and deploy Retrieval-Augmented Generation (RAG) and Graph RAG systems using vector databases and knowledge bases. * Curate enterprise data using connectors integrated with AWS Bedrock's Knowledge Base/Elastic * Implement solutions leveraging MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication. * Build and maintain Jupyter-based notebooks using platforms like SageMaker and MLFlow/Kubeflow on Kubernetes (EKS). * Collaborate with cross-functional teams of UI and microservice engineers, designers, and data engineers to build full-stack Gen AI experiences. * Integrate GenAI solutions with enterprise platforms via API-based methods and GenAI standardized patterns. * Establish and enforce validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails for production-ready deployment. * Design & build robust ingestion pipelines that extract, chunk, enrich, and anonymize data from PDFs, video, and audio sources for use in LLM-powered workflows-leveraging best practices like semantic chunking and privacy controls * Orchestrate multimodal pipelines** using scalable frameworks (e.g., Apache Spark, PySpark) for automated ETL/ELT workflows appropriate for unstructured media * Implement embeddings drives-map media content to vector representations using embedding models, and integrate with vector stores (AWS KnowledgeBase/Elastic/Mongo Atlas) to support RAG architectures Required Qualifications:** * 10+ years of experience in AI/ML, with 3+ years in applied GenAI or LLM-based solutions. * Deep expertise in prompt engineering, fine-tuning, RAG, GraphRAG, vector databases (e.g., AWS KnowledgeBase / Elastic), and multi-modal models. * Proven experience with cloud-native AI development (AWS SageMaker, Bedrock, MLFlow on EKS). * Strong programming skills in Python and ML libraries (Transformers, LangChain, etc.). * Deep understanding of Gen AI system patterns and architectural best practices, Evaluation Frameworks * Demonstrated ability to work in cross-functional agile teams. * Need Github Code Repository Link for each candidate. Please thoroughly vet the candidates. **Preferred Qualifications:** * Published contributions or patents in AI/ML/LLM domains. * Hands-on experience with enterprise AI governance and ethical deployment frameworks. * Familiarity with CI/CD practices for ML Ops and scalable inference APIs.
    $73k-102k yearly est. 1d ago
  • Data Scientist

    Bestinfo Systems LLC

    Data engineer job in Columbia, MD

    Data Scientist - Transit Data Focus_Columbia, MD (On-site / hybrid)_Contract (6 Months) Data Scientist - Transit Data Focus Employment type: Contract Duration: 6 Months Justification: To manage and analyze customer databases, AVA (automated voice announcement), and schedule data for predictive maintenance and service planning. Experience Level: 3-5 years Job Responsibilities: Collect, process, and analyze transit-related datasets including customer databases, AVA (automated voice announcement) logs, real-time vehicle data, and schedule data. Develop predictive models and data-driven insights to support maintenance forecasting, service planning, and operational optimization. Design and implement data pipelines to integrate, clean, and transform large, heterogeneous transit data sources. Perform statistical analysis and machine learning to identify patterns, trends, and anomalies relevant to transit service performance and reliability. Collaborate with transit planners, maintenance teams, and IT staff to translate data insights into actionable business strategies. Monitor data quality and integrity; implement data validation and cleansing processes. Technical Skills & Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Transportation Engineering, or a related quantitative field. 3-5 years of experience working as a data scientist or data analyst, preferably in a transit, transportation, or public sector environment. Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with SQL for database querying, manipulation, and data extraction. Familiarity with transit data standards such as GTFS, AVL/CAD, APC (Automated Passenger Counters), and AVA systems. Experience with data visualization tools such as Power BI, or equivalent.
    $73k-103k yearly est. 1d ago
  • Data scientist

    Smart It Frame LLC

    Data engineer job in Reston, VA

    Job title: Data scientist Fulltime About Smart IT Frame: At Smart IT Frame, we connect top talent with leading organizations across the USA. With over a decade of staffing excellence, we specialize in IT, healthcare, and professional roles, empowering both clients and candidates to grow together. Note: • In- person interview Must Have; • Data science • Python • SQL • ML/Ops • Risk Modelling 📩 Apply today or share profiles at ****************************
    $73k-102k yearly est. 2d ago
  • DATA ENGINEER WITH JAVA

    Akkodis

    Data engineer job in McLean, VA

    Akkodis is seeking a DATA ENGINEER WITH JAVA, ETL PIPELINES, SPARK ,AWS GLUE for a Contract job with a client in Mclean VA/Wilmington DE . Ideally looking for applicants with a solid background in the financial services industry . Desired Skill Sets DATA ENGINEER WITH JAVA, ETL PIPELINES, SPARK ,AWS GLUE Looking for Sr developer & lead Below is the rate for each position Location: McLean, VA (primary) or Wilmington, DE (secondary)-Hybrid - 3days week Sr Developer -Rate Range: $90/hour to $95/hour; The rate may be negotiable based on experience, education, geographic location, and other factors. Lead Developer- Rate Range: $110/hour to $115/hour; The rate may be negotiable based on experience, education, geographic location, and other factors ONLY SENIOR FOLKS Job Title: Backend Developer (x2) Location: Schedule: hybrid Duration: ~7 months Interview: 1 hour zoom video interview Must Have: Data engineer Java -MUST -Not a backend API development but someone used & worked on it from Big data prospect) Spark ETL pipelines AWS (stepfunction, Glue, & Lambda) previous C1 experience Other Notes: Building ETL pipeline, extraction & loading Receive file from Discover, transfer to C1 ecosystem PLEASE NOTE Data migration - ETL This team is DATA not APIs (backend not frontend) Need Java AND Spark Biggest struggle is he sees a lot of developers who do product support remediations NO fast-paced developments This team needs REALLY strong hands-on developers who take ownership (he HATES following up) If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, feel free to contact me at ********** /*********************************. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit ****************************************** The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance
    $79k-108k yearly est. 20h ago
  • Cloud Data Engineer- Databricks

    Infocepts 3.7company rating

    Data engineer job in McLean, VA

    Purpose: We are seeking a highly skilled Cloud Data Engineer with deep expertise in Databricks and modern cloud platforms such as AWS, Azure, or GCP. This role is ideal for professionals who are passionate about building next-generation data platforms, optimizing complex data workflows, and enabling advanced analytics and AI in cloud-native environments. You'll have the opportunity to work with Fortune-500 organizations in data and analytics, helping them unlock the full potential of their data through innovative, scalable solutions. Key Result Areas and Activities: Design and implement robust, scalable data engineering solutions. Build and optimize data pipelines using Databricks, including serverless capabilities, Unity Catalog, and Mosaic AI. Collaborate with analytics and AI teams to enable real-time and batch data workflows. Support and improve cloud-native data platforms (AWS, Azure, GCP). Ensure adherence to best practices in data modeling, warehousing, and governance. Contribute to automation of data workflows using CI/CD, DevOps, or DataOps practices. Implement and maintain workflow orchestration tools like Apache Airflow and dbt. Roles & Responsibilities Essential Skills 4+ years of experience in data engineering with a focus on scalable solutions. Strong hands-on experience with Databricks in a cloud environment. Proficiency in Spark and Python for data processing. Solid understanding of data modeling, data warehousing, and architecture principles. Experience working with at least one major cloud provider (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and data workflow automation. Desirable Skills Direct experience with Unity Catalog and Mosaic AI within Databricks. Working knowledge of DevOps/DataOps principles in a data engineering context. Exposure to Apache Airflow, dbt, and modern data orchestration frameworks. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. Relevant certifications in cloud platforms (AWS/Azure/GCP) or Databricks are a plus. Qualities: Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset Excellent analytical, presentation, reporting, documentation and interactive skills "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."
    $77k-105k yearly est. 20h ago
  • Data Scientist

    Unisys 4.6company rating

    Data engineer job in Reston, VA

    • Collect, clean, and preprocess large datasets from multiple sources. • Apply statistical analysis and machine learning techniques to solve business problems. • Build predictive models and algorithms to optimize processes and improve outcomes. • Develop dashboards and visualizations to communicate insights effectively. • Collaborate with cross-functional teams (Product, Engineering, Risk, Marketing) to identify opportunities for leveraging data. • Ensure data integrity, security, and compliance with organizational standards. • Stay current with emerging technologies and best practices in data science and AI. ________________________________________ Required Qualifications • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field. • Strong proficiency in Python, R, SQL, and experience with data manipulation libraries (e.g., Pandas, NumPy). • Hands-on experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). • Solid understanding of statistical modeling, hypothesis testing, and data visualization. • Experience with big data platforms (e.g., Spark, Hadoop) and cloud environments (AWS, Azure, GCP). • Excellent problem-solving skills and ability to communicate complex concepts clearly. ________________________________________ Preferred Qualifications • Experience in risk modeling, financial services, or product analytics. • Knowledge of MLOps and deploying models in production. • Familiarity with data governance and compliance frameworks. ________________________________________ Soft Skills • Strong analytical thinking and attention to detail. • Ability to work independently and in a team environment. • Effective communication and stakeholder management skills. #LI-CGTS #TS-0455
    $71k-96k yearly est. 5d ago
  • Data Scientist Specialist

    Vista Applied Solutions Group Inc. 4.0company rating

    Data engineer job in McLean, VA

    Job Title: Data Scientist Specialist Duration: 45 Minutes|120 Minutes Interview Type: MS Teams - Video Mandatory| 2nd round on-site Call notes: Flexibility in hands on experience Not required 10 years of experience ML and Gen AI 2 years of Gen AI experience Gen AI development This role comes between software engineer and Data Scientist Can see Data Engineer BS/MS in Ai or Data Science preferred PHD degree not needed
    $70k-95k yearly est. 3d ago
  • AWS Data Engineer

    Mindlance 4.6company rating

    Data engineer job in McLean, VA

    Responsibilities: Design, build, and maintain scalable data pipelines using AWS Glue and Databricks. Develop and optimize ETL/ELT processes using PySpark and Python. Collaborate with data scientists, analysts, and stakeholders to enable efficient data access and transformation. Implement and maintain data lake and warehouse solutions on AWS (S3, Glue Catalog, Redshift, Athena, etc.). Ensure data quality, consistency, and reliability across systems. Optimize performance of large-scale distributed data processing workflows. Develop automation scripts and frameworks for data ingestion, transformation, and validation. Follow best practices for data governance, security, and compliance. Required Skills & Experience: 5-8 years of hands-on experience in Data Engineering. Strong proficiency in Python and PySpark for data processing and transformation. Expertise in AWS services - particularly Glue, S3, Lambda, Redshift, and Athena. Hands-on experience with Databricks for building and managing data pipelines. Experience working with large-scale data systems and optimizing performance. Solid understanding of data modeling, data lake architecture, and ETL design principles. Strong problem-solving skills and ability to work independently in a fast-paced environment. “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
    $85k-113k yearly est. 2d ago
  • Senior Data Engineer

    Zillion Technologies, Inc. 3.9company rating

    Data engineer job in McLean, VA

    The candidate must have 5+ years of hands on experience working with PySpark/Python, microservices architecture, AWS EKS, SQL, Postgres, DB2, Snowflake, Behave OR Cucumber frameworks, Pytest (unit testing), automation testing and regression testing. Experience with tools such as Jenkins, SonarQube AND/OR Fortify are preferred for this role. Experience in Angular and DevOps are nice to haves for this role. Must Have Qualifications: PySpark/Python based microservices, AWS EKS, Postgres SQL Database, Behave/Cucumber for automation, Pytest, Snowflake, Jenkins, SonarQube and Fortify. Responsibilities: Development of microservices based on Python, PySpark, AWS EKS, AWS Postgres for a data-oriented modernization project. New System: Python and PySpark, AWS Postgres DB, Behave/Cucumber for automation, and Pytest Perform System, functional and data analysis on the current system and create technical/functional requirement documents. Current System: Informatica, SAS, AutoSys, DB2 Write automated tests using Behave/cucumber, based on the new micro-services-based architecture Promote top code quality and solve issues related to performance tuning and scalability. Strong skills in DevOps, Docker/container-based deployments to AWS EKS using Jenkins and experience with SonarQube and Fortify. Able to communicate and engage with business teams and analyze the current business requirements (BRS documents) and create necessary data mappings. Preferred strong skills and experience in reporting applications development and data analysis Knowledge in Agile methodologies and technical documentation.
    $77k-109k yearly est. 4d ago
  • Lead Principal Data Solutions Architect

    Inadev

    Data engineer job in Reston, VA

    *****TO BE CONSIDERED, CANDIDATES MUST BE U.S. CITIZEN***** ***** TO BE CONSIDERED, CANDIDATES MUST BE LOCAL TO THE DC/MD/VA METRO AREA AND BE OPEN TO A HYBIRD SCHEDULE IN RESTON, VA***** Formed in 2011, Inadev is focused on its founding principle to build innovative customer-centric solutions incredibly fast, secure, and at scale. We deliver world-class digital experiences to some of the largest federal agencies and commercial companies. Our technical expertise and innovations are comprised of codeless automation, identity intelligence, immersive technology, artificial intelligence/machine learning (AI/ML), virtualization, and digital transformation. POSITION DESCRIPTION: Inadev is seeking a strong Lead Principal Data Solutions Architect Primary focus will be in Natural language processing (NLP), applying data mining techniques, doing statistical analysis and building high quality prediction systems. PROGRAM DESCRIPTION: This initiative focuses on modernizing and optimizing a mission-critical data environment within the immigration domain to enable advanced analytics and improved decision-making capabilities. The effort involves designing and implementing a scalable architecture that supports complex data integration, secure storage, and high-performance processing. The program emphasizes agility, innovation, and collaboration to deliver solutions that meet evolving stakeholder requirements while maintaining compliance with stringent security and governance standards. RESPONSIBILITES: Leading system architecture decisions, ensuring technical alignment across teams, and advocating for best practices in cloud and data engineering. Serve as a senior technical leader and trusted advisor, driving architectural strategy and guiding development teams through complex solution design and implementation Serve as the lead architect and technical authority for enterprise-scale data solutions, ensuring alignment with strategic objectives and technical standards. Drive system architecture design, including data modeling, integration patterns, and performance optimization for large-scale data warehouses. Provide expert guidance to development teams on Agile analytics methodologies and best practices for iterative delivery. Act as a trusted advisor and advocate for the government project lead, translating business needs into actionable technical strategies. Oversee technical execution across multiple teams, ensuring quality, scalability, and security compliance. Evaluate emerging technologies and recommend solutions that enhance system capabilities and operational efficiency. NON-TECHNICAL REQUIREMENTS: Must be a U.S. Citizen. Must be willing to work a HYRBID Schedule (2-3 Days) in Reston, VA & client locations in the Northern Virginia/DC/MD area as required. Ability to pass a 7-year background check and obtain/maintain a U.S. Government Clearance Strong communication and presentation skills. Must be able to prioritize and self-start. Must be adaptable/flexible as priorities shift. Must be enthusiastic and have passion for learning and constant improvement. Must be open to collaboration, feedback and client asks. Must enjoy working with a vibrant team of outgoing personalities. MANDATORY REQUIREMENTS/SKILLS: Bachelor of Science degree in Computer Science, Engineering or related subject and at least 10 years of experience leading architectural design of enterprise-level data platforms, with significant focus on Databricks Lakehouse architecture. Experience within the Federal Government, specifically DHS is preferred. Must possess demonstrable experience with Databricks Lakehouse Platform, including Delta Lake, Unity Catalog for data governance, Delta Sharing, and Databricks SQL for analytics and BI workloads. Must demonstrate deep expertise in Databricks Lakehouse architecture, medallion architecture (Bronze/Silver/Gold layers), Unity Catalog governance framework, and enterprise-level integration patterns using Databricks workflows and Auto Loader. Knowledge of and ability to organize technical execution of Agile Analytics using Databricks Repos, Jobs, and collaborative notebooks, proven by professional experience. Expertise in Apache Spark on Databricks, including performance optimization, cluster management, Photon engine utilization, and Delta Lake optimization techniques (Z-ordering, liquid clustering, data skipping). Proficiency in Databricks Unity Catalog for centralized data governance, metadata management, data lineage tracking, and access control across multi-cloud environments. Experience with Databricks Delta Live Tables (DLT) for declarative ETL pipeline development and data quality management. Certification in one or more: Databricks Certified Data Engineer Associate/Professional, Databricks Certified Solutions Architect, AWS, Apache Spark, or cloud platform certifications. DESIRED REQUIREMENTS/SKILLS: Expertise in ETL tools. Advanced knowledge of cloud platforms (AWS preferred; Azure or GCP a plus). Proficiency in SQL, PL/SQL, and performance tuning for large datasets. Understanding of security frameworks and compliance standards in federal environments. PHYSICAL DEMANDS: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Inadev Corporation does not discriminate against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibits discrimination against all individuals based on their race, color, religion, sex, sexual orientation/gender identity, or national origin.
    $84k-115k yearly est. 2d ago
  • DevOps Engineer

    Us Tech Solutions 4.4company rating

    Data engineer job in McLean, VA

    The candidate should be able to drive implementation and improvement of tools and technologies for enterprise adoption in accordance with operational and security standards. Practice and promote a Site Reliability Engineering (SRE) culture to improve and operate cloud platform offerings to the enterprise while working toward innovation, automation, and operational excellence. Automation experience is a must for this position. Ability to provide 24x7 operational support on a periodic basis and involvement in Issue resolution is a must. Must Have Qualifications: Must have 5+ years of have on experience with AWS CloudFormation and Terraform. Automation through Shell Scripting and Python required (Ansible nice to have). 3+ years of experience with EKS and Kubernetes Technical expertise: 7+ years of overall information technology experience with an emphasis on integration and delivery of virtual/cloud platforms to enterprise applications. At least 5 years of proven experience with AWS CloudFormation, Terraform, or similar tools. 3+ years of experience with engineering and supporting containerization technology (OpenShift, Kubernetes, AWS(ECS/EKS), etc.) at scale. Experience in Python, Ansible and shell scripting to automate routine operation tasks. Experience in Tetrate, Rancher, ArgoCD are highly preferred. About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit *********************** US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Recruiter Details: Aishwarya Chandra Email: **************************************** Job ID: 25-53450
    $95k-130k yearly est. 1d ago
  • Software Engineer - R&D Systems

    Novateur Research Solutions

    Data engineer job in Ashburn, VA

    Software Engineer - Entry to Mid-Level (R&D Systems) Novateur stands for Innovation. We value creativity, vision, collaboration, and above all, ambition to innovate. Novateur Research Solutions is an R&D firm located in Northern Virginia, developing intelligent systems that push the boundaries of computer vision, AI, and large-scale learning. We are looking for Software Engineers eager to build scalable systems and deploy machine learning models in real-world environments. You will work closely with our researchers and engineers to develop software for real-time perception, geospatial analytics, and distributed systems. Responsibilities: • Develop and deploy production-grade software in Python and C++. • Build APIs, data pipelines, and visualization tools to support machine learning workflows. • Collaborate with researchers to translate algorithms into efficient implementations. • Contribute to system design, cloud deployment (AWS), and automation. Requirements: • BS or MS in Computer Science, Engineering, or a related field. • Proficiency in modern programming and software engineering practices. • Familiarity with Docker, Kubernetes, or AWS. • Enthusiasm for learning and applying machine learning or computer vision methods. • U.S. Citizen or Permanent Resident. Why Novateur? Join a team that values creativity and initiative. Our engineers have freedom to innovate, collaborate with top researchers, publish research in major scientific conferences, and see their ideas deployed in impactful applications. Company Benefits: Novateur offers competitive pay and benefits comparable to Fortune 500 companies that include a wide choice of healthcare options with generous company subsidy, 401(k) with generous employer match, paid holidays and paid time off increasing with tenure, and company paid short-term disability, long-term disability, and life insurance. We offer a work environment which fosters individual thinking along with collaboration opportunities within and beyond Novateur. In return, we expect a high level of performance and passion to deliver enduring results for our clients.
    $72k-99k yearly est. 4d ago
  • Python Software Engineer (Performance Optimization) - On Site in McLean, VA

    Nerd Up Staffing

    Data engineer job in McLean, VA

    Work Authorization: We are unable to consider candidates who require F-1 OPT/CPT, H-1B sponsorship, or any employer-sponsored work authorization now or in the future. If you enjoy writing clean, efficient code and genuinely care about how systems behave under real workloads, this is the kind of role where you will thrive. We are a small, highly technical engineering team that values clarity, correctness, and thoughtful problem-solving. Our environment is calm, stable, and built around long-term engineering quality rather than short-term pressure. If you are coming from a chaotic workplace or a job filled with constant churn, you will immediately notice the difference here. This is the kind of role where you can go deep, work closely with senior engineers, and focus on building software that is fast, reliable, and built to last. What You Will Do Build, improve, and maintain high-performance internal software tools Write clean, production-quality Python applications in a Linux environment Use and expand your R skills to improve performance, scalability, and correctness Profile and tune systems to make them faster and more efficient Participate in architecture discussions and performance-focused design reviews Work with MySQL and related data systems to support stable and predictable workflows What You Bring 2 or more years of hands-on, post-college production-level Python engineering experience 1+ years working with R (or C), ideally including optimization or tuning Proven ability to write and deploy production-ready code Strong understanding of algorithms, data flow, and system performance Comfortable working in Linux environments and using Git for version control A clear, thoughtful communication style and willingness to collaborate Experience with SQL, ETL, or data integrations is a plus Why You'll Love Working Here Stable, well-established company with a long-term engineering focus A mentoring-oriented culture where senior engineers actively help you grow A calm, respectful environment that values correctness over rushing Interesting work that involves real performance challenges and deep thinking A codebase that is maintained with care and not pushed to meet unrealistic deadlines Competitive salary, strong benefits, and real work-life balance On-site for collaboration, only in McLean, Virginia (no remote or hybrid options) Who This Role Is Perfect For This position is ideal for engineers who: Enjoy optimization, profiling, and understanding how systems behave under the hood Prefer a stable, predictable engineering environment instead of constant fire drills Value working with experienced developers who take code quality seriously Want to do meaningful technical work without unhealthy pressure Appreciate a team that cares about craftsmanship, clarity, and long-term maintainability
    $71k-95k yearly est. 3d ago
  • Software Engineer

    Samtek Inc.

    Data engineer job in Herndon, VA

    Samtek Inc., located in Job Location: Herndon, Virginia, is seeking a full-time Software Engineer. If you are interested in applying for this job, please make sure you meet the following requirements as listed below. May req to trvl (apprx 25% to 50% of the time) to various unanticipated client worksites across the US. Send resume to Samtek xevrcyc Inc., 205 Van Buren St., Ste. #120, Herndon, VA 20170 OR e-mail:
    $71k-94k yearly est. 1d ago

Learn more about data engineer jobs

How much does a data engineer earn in Frederick, MD?

The average data engineer in Frederick, MD earns between $70,000 and $127,000 annually. This compares to the national average data engineer range of $80,000 to $149,000.

Average data engineer salary in Frederick, MD

$94,000
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