Mid-level DevOps Engineer (TS/SCI)
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.
Applied AI Interface Engineer
Data engineer job in Alexandria, VA
MANTECH seeks a motivated, career and customer-oriented Applied AI Interface Engineer to join our team in Alexandria, VA. As part of the position, you will act as a Software Engineer designing and implementing services and components for AI applications.
Responsibilities include but are not limited to:
Designs and builds User Interfaces using modern UX/UI standards.
Develops, implements, and maintains full-stack software solutions for AI-enabled applications.
Works closely with the Software Architect to understand project requirements and translate them into technical specifications.
Develops and integrates AI and ML capabilities on a cloud-hosted data platform that supports significant market adoption, high performance, and strict access control and governance.
Stays current with advancements in AI, machine learning, and software engineering, incorporating best practices into the development process.
Documents software designs, code, and processes to ensure maintainability, scalability, and knowledge sharing among team members.
Participates in code reviews and provides constructive feedback to peers to ensure code quality, adherence to coding standards, and knowledge transfer within the team.
Minimum Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
4 or more years (2 with Master's) of experience in software development, systems integration, data management, or related fields.
Proficiency in JavaScript, including familiarity with modern frameworks and libraries such as React, Angular, or Vue.js.
Solid knowledge of HTML and CSS, including responsive design principles and front-end workflows.
Knowledge of Python and REST API frameworks.
Basic understanding of user interface (UI) and user experience (UX) design principles, with the ability to collaborate with designers to translate wireframes into functional code.
Problem-Solving Skills: Strong analytical and problem-solving abilities, with the capacity to debug and resolve issues related to front-end code.
Experience with Generative AI including API access to large language models (LLMs).
Preferred Qualifications:
Experience with Docker, Kubernetes, or other containerization technology.
Experience working in AWS environments.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills. Ability to work effectively in a team-oriented environment.
Experience working with data ingest and transformation.
Clearance Requirements:
Must possess a current and active TS/SCI clearance
Physical Requirements:
The person in this position must be able to remain in a stationary position 50% of the time.
Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.
Forward Deployed Software Engineer I
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.
Data Engineer (Zero Trust)
Data engineer job in Fort Belvoir, VA
Kavaliro is seeking a Zero Trust Security Architect / Data Engineer to support a mission-critical program by integrating secure architecture principles, strengthening data security, and advancing Zero Trust initiatives across the enterprise.
Key Responsibilities
Develop and implement program protection planning, including IT supply chain security, anti-tampering methods, and risk management aligned to DoD Zero Trust Architecture.
Apply secure system design tools, automated analysis methods, and architectural frameworks to build resilient, least-privilege, continuously monitored environments.
Integrate Zero Trust Data Pillar capabilities-data labeling, tagging, classification, encryption at rest/in transit, access policy definition, monitoring, and auditing.
Analyze and interpret data from multiple structured and unstructured sources to support decision-making and identify anomalies or vulnerabilities.
Assess cybersecurity principles, threats, and vulnerabilities impacting enterprise data systems, including risks such as corruption, exfiltration, and denial-of-service.
Support systems engineering activities, ensuring secure integration of technologies and alignment with Zero Trust operational objectives.
Design and maintain secure network architectures that balance security controls, mission requirements, and operational tradeoffs.
Generate queries, algorithms, and reports to evaluate data structures, identify patterns, and improve system integrity and performance.
Ensure compliance with organizational cybersecurity requirements, particularly confidentiality, integrity, availability, authentication, and non-repudiation.
Evaluate impacts of cybersecurity lapses and implement safeguards to protect mission-critical data systems.
Structure, format, and present data effectively across tools, dashboards, and reporting platforms.
Maintain knowledge of enterprise information security architecture and database systems to support secure data flow and system design.
Requirements
Active TS/SCI security clearance (required).
Deep knowledge of Zero Trust principles (never trust, always verify; explicit authentication; least privilege; continuous monitoring).
Experience with program protection planning, IT supply chain risk management, and anti-tampering techniques.
Strong understanding of cybersecurity principles, CIA triad requirements, and data-focused threats (corruption, exfiltration, denial-of-service).
Proficiency in secure system design, automated systems analysis tools, and systems engineering processes.
Ability to work with structured and unstructured data, including developing queries, algorithms, and analytical reports.
Knowledge of database systems, enterprise information security architecture, and data structuring/presentation techniques.
Understanding of network design processes, security tradeoffs, and enterprise architecture integration.
Strong ability to interpret data from multiple tools to support security decision-making.
Familiarity with impacts of cybersecurity lapses on data systems and operational environments.
Kavaliro 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, protected veteran status, or any other characteristic protected by law.
Data Scientist - ML, Python
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.
Principal Data Scientist with Gen AI
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.
Data scientist
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 ****************************
Azure Data Modeler
Data engineer job in Washington, DC
Azure Data Modeler - Budget Transformation Project
Our client is embarking on a major budget transformation initiative and is seeking an experienced Azure Data Modeler to support data architecture, modeling, and migration activities. This role will play a critical part in designing and optimizing data structures as the organization transitions to SAP. Experience with SAP is preferred, but strong ERP data experience in any platform is also valuable.
Responsibilities
Design, develop, and optimize data models within the Microsoft Azure environment.
Support data architecture needs across the budget transformation program.
Partner with cross-functional stakeholders to enable the transition to SAP (or other ERP systems).
Participate in data migration planning, execution, and validation efforts.
Work collaboratively within SAFe Agile teams and support sprint activities.
Provide off-hours support as needed for critical tasks and migration windows.
Engage onsite in Washington, DC up to three days per week.
Required Qualifications
Strong hands-on expertise in data architecture and data model design.
Proven experience working with Microsoft Azure (core requirement).
Ability to work flexibly, including occasional off-hours support.
Ability to be onsite in Washington, DC as needed (up to 3 days/week).
Preferred Qualifications
Experience with SAP ECC or exposure to SAP implementations.
Experience with other major ERP systems (Oracle, Workday, etc.).
SAFe Agile certification.
Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.
Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ********************
Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
Data Engineer
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
Data Scientist
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.
Senior Data Engineer.
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.
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Data Scientist
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
DATA ENGINEER WITH JAVA
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
Cloud Data Engineer- Databricks
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."
Data Architect
Data engineer job in Washington, DC
Job Title: Developer Premium I
Duration: 7 Months with long term extension
Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon
Job Requirement:
Strong expertise in Data Architecture & Date model design.
MS Azure (core experiment)
Experience with SAP ECC preferred
SAFE agile certification is a plus
Ability to work flexibility including off hours to support critical IT task & migration activities.
Educational Qualifications and Experience:
Bachelor's degree in Computer Science, Information Systems or in a related area of expertise.
Required number of years of proven experience in the specific technology/toolset as per Experience Matrix below for each Level.
Essential Job Functions:
Take functional specs and produce high quality technical specs
Take technical specs and produce completed and well tested programs which meet user satisfaction and acceptance, and precisely reflect the requirements - business logic, performance, and usability requirements
Conduct/attend requirements definition meetings with end-users and document system/business requirements
Conduct Peer Review on Code and Test Cases, prepared by other team members, to assess quality and compliance with coding standards
As required for the role, perform end-user demos of proposed solution and finished product, provide end user training and provide support for user acceptance testing
As required for the role, troubleshoot production support issues and find appropriate solutions within defined SLA to ensure minimal disruption to business operations
Ensure that Bank policies, procedures, and standards are factored into project design and development
As required for the role, install new release, and participate in upgrade activities
As required for the role, perform integration between systems that are on prem and also on the cloud and third-party vendors
As required for the role, collaborate with different teams within the organization for infrastructure, integration, database administration support
Adhere to project schedules and report progress regularly
Prepare weekly status reports and participate in status meetings and highlight issues and constraints that would impact timely delivery of work program items
Find the appropriate tools to implement the project
Maintain knowledge of current industry standards and practices
As needed, interact and collaborate with Enterprise Architects (EA), Office of Information Security (OIS) to obtain approvals and accreditations
“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”
Senior Data Engineer
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.
Lead Principal Data Solutions Architect
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.
Software Integrator
Data engineer job in Manassas, VA
Software Integrator - 100% On Site in Manassas, VA
Client is seeking to hire a Software Integrator to support the Acoustics Rapid COTS Insertion (ARCI) program.
Education:
Bachelor's degree in Computer/Electrical Engineering or Computer Science degree from an accredited university.
2+ years of experience.
Job Responsibilities:
Participate in software development lifecycle including software design, development, integration, test, and support for new and existing software products.
Designing, implementing, testing and debugging complex software applications
Support continuous integration/continuous development agile like development
Basic Qualifications:
Bachelor's degree in Computer/Electrical Engineering or Computer Science degree from an accredited university or equivalent related experience.
Experience with Linux Operating Systems
2+ years of related C, C++, and/or JAVA experience
Experience with inter-process communications and real time systems
Experience with configuration management software (i.e. Subversion and/or GIT)
Senior CNO Developer
Data engineer job in Annapolis, MD
MANTECH seeks a motivated, career and customer-oriented Senior CNO Developer to join our team in Annapolis Junction, Maryland.
We're looking for a Senior Capability Developer to join our elite team. In this role, you'll apply your deep technical expertise to analyze, reverse-engineer, and develop mission-critical capabilities that directly support national security objectives. You will be a key player in a fast-paced environment, tackling unique challenges at the intersection of hardware, software, and embedded systems.
Responsibilities include but are not limited to:
Develop custom software tools and applications using Python, C, and Assembly, focusing on embedded and resource-constrained systems.
Conduct rigorous code reviews to ensure the quality, security, and performance of developed software.
Reverse engineer complex hardware and software systems to understand their inner workings and identify potential vulnerabilities.
Perform in-depth vulnerability research to discover and analyze weaknesses in a variety of targets.
Collaborate with a team of skilled engineers to design and implement innovative solutions to challenging technical problems.
Minimum Qualifications:
Bachelor's degree and 12 years of experience; or, a high school diploma with 16 years of experience; or, an Associate's degree with 14 years of experience. A Master's degree may substitute for 2 years of experience, and a PhD may substitute for 4 years of experience.
Must have 7 years of position-relevant work experience
Proficiency in programming and application development.
Strong scripting skills, particularly in Python, C, and Assembly.
Deep expertise in managing, configuring, and troubleshooting Linux.
Experience in embedded systems.
Experience in reverse engineering and vulnerability research of hardware and software.
Experience in code review.
Preferred Qualifications:
Experience in CNO (Computer Network Operations) Development.
Experience in virtualization.
Knowledge of IoT (Internet of Things) devices.
Experience with Linux Kernel development and sockets.
Knowledge of integrating security tools into the CI/CD (Continuous Integration/Continuous Delivery) pipeline.
Networking skills.
Clearance Requirements:
Must have a current/active Top Secret/SCI clearance.
Physical Requirements:
The person in this position must be able to remain in a stationary position 50% of the time. Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations
AWS Data Engineer
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.”