Assoc Engineer
Data engineer job in Washington, DC
Who We Are: We're powering a cleaner, brighter future. Exelon is leading the energy transformation, and we're calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient.
We're powered by purpose-driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 19,000 colleagues strong serving more than 10 million customers at six energy companies -- Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).
In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career.
Are you in? Primary Purpose:
Assists experienced engineers in developing studies, plans, criteria, specifications, calculations, evaluations, design documents, performance assessments, integrated systems analysis, cost estimates, budgets, associated with the planning, design, licensing, construction, operation, and maintenance of Exelon's electric generation, transmission, distribution, gas and telecommunication facilities/systems. Provides analytical support for consultation and recommendations to the Company within and to other business units and/or customers as a result of studying company or customer-owned systems, processes, outages, equipment, vehicles or facilities to advance business needs and efficiencies. Develop recommendations to improve planning, design, installation and maintenance processes. Collects and compiles financial data for budget and actual costs of projects. Position may be required to work extended hours, including 24 x 7 coverage during storms or other energy delivery emergencies.
Note: This is a hybrid position (in-office with remote flexibility). Employees are required to be in office at least three days per week (Tuesday, Wednesday, and Thursday). This position must sit out of our Philadelphia -PA, Kennett Square - PA, Newark - DE and Washington - DC office. This position is not eligible for relocation assistance.
Primary Duties:
Assists experienced engineers in performing well-defined engineering assignments in specialized areas requiring engineering expertise exercising independent discretion. (e.g. Collect data, perform complex analysis, interpret results, draw conclusions, and clearly present a recommendation to management)
Provides support to engineering and operating groups to analyze specific design, installation and maintenance activities. Assists in the performance of complex engineering assignments.(e.g. Analyze and interpret the results of complex power flows and perform complex electrical tests, and analyze non-specific and ambiguous results)
Assists with technical consultation, plan developments and recommendations for customer and company systems and processes; (e.g. Verify and validate studies, blueprints, or designs against accepted engineering principles and practices)
Evaluates effectiveness of current technical systems and processes. Participates on teams; (e.g. Design high voltage transmission and distribution circuits, meeting all engineering standards and criteria)
Job Scope:
Modeling & Scenario Planning develops and maintains system models required to run studies on the transmission system to ensure adherence to reliability criteria. This includes, but is not limited to, running thermal and voltage steady state powerflow studies and maintaining modeling data (connectivity, impedances, ratings, contingency information, etc.). As part of that task, the Team analyzes the risk on the transmission system both in the short term and future years, which provides critical information to anticipate unidentified issues and prioritize existing risks.
The successful candidate will perform Transmission System Modeling and Power Flow Studies/Analysis of the Exelon transmission system. These efforts will include:
Developing models and performing studies using available tools such as PSS/E and TARA
In coordination with PJM, ensuring that Exelon complies with applicable NERC Standards and PJM Operations/Planning Manuals
Leveraging experience performing power flow analysis and validation of study results
Demonstrating an understanding of OpCo Transmission System(s), including Substation and Protection Design and Technical Standards
Utilizing experience with Transmission modeling characteristics such as Ratings and Impedances to ensure proper results
Providing Innovative Solutions for enhancing Planning Techniques and integrating New Technologies
Minimum Qualifications:
Bachelor of Science degree in Engineering
Ability to analyze and interpret complex electrical and mechanical systems.
Knowledge and ability to apply problem solving approaches and engineering theory.
Knowledge of engineering designs, principles and practices.
Zero to two years of professional engineering experience
Limited knowledge and experience with regulations, guides, standards, codes, methods, and practices necessary to perform routine assignments for a specific discipline installations, or service.
Preferred Qualifications:
Written and oral communication/presentation skills, report generation & technical writing skills
Interpersonal skills & the ability to collaborate with peers
Ability to confer with customers and identify customer needs
High level understanding of power systems and/or transmission system power flow
Benefits:
Annual salary will vary based on a candidate's skills, qualifications, experience, and other factors: $71,200.00/Yr. - $97,900.00/Yr.
Annual Bonus for eligible positions: 7%
401(k) match and annual company contribution
Medical, dental and vision insurance
Life and disability insurance
Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
Employee Assistance Program and resources for mental and emotional support
Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
Referral bonus program
And much more
Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
Auto-ApplyData 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 Engineer
Data engineer job in McLean, VA
Immediate need for a talented Data Engineer. This is a 12 months contract opportunity with long-term potential and is located in Mclean, VA(Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID: 25-93504
Pay Range: $70 - $75/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:
Design, develop, and maintain data pipelines leveraging Python, Spark/PySpark, and cloud-native services.
Build and optimize data workflows, ETL processes, and transformations for large-scale structured and semi-structured datasets.
Write advanced and efficient SQL queries against Snowflake, including joins, window functions, and performance tuning.
Develop backend and automation tools using Golang and/or Python as needed.
Implement scalable, secure, and high-quality data solutions across AWS services such as S3, Lambda, Glue, Step Functions, EMR, and CloudWatch.
Troubleshoot complex production data issues, including pipeline failures, data quality gaps, and cloud environment challenges.
Perform root-cause analysis and implement automation to prevent recurring issues.
Collaborate with data scientists, analysts, platform engineers, and product teams to enable reliable, high-quality data access.
Ensure compliance with enterprise governance, data quality, and cloud security standards.
Participate in Agile ceremonies, code reviews, and DevOps practices to ensure high engineering quality.
Key Requirements and Technology Experience:
Skills-Data Engineer- Python , Spark/PySpark, AWS, Golang, Able to write complex SQL queries against Snowflake tables / Troubleshoot issues, Java/Python, AWS (Glue, EC2, Lambda).
Proficiency in Python with experience building scalable data pipelines or ETL processes.
Strong hands-on experience with Spark/PySpark for distributed data processing.
Experience writing complex SQL queries (Snowflake preferred), including optimization and performance tuning.
Working knowledge of AWS cloud services used in data engineering (S3, Glue, Lambda, EMR, Step Functions, CloudWatch, IAM).
Experience with Golang for scripting, backend services, or performance-critical processes.
Strong debugging, troubleshooting, and analytical skills across cloud and data ecosystems.
Familiarity with CI/CD workflows, Git, and automated testing.
Our client is a leading Banking and 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.
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.
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.
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 Arlington, VA
• Functions as the primary technical architect for data warehousing projects to solve business intelligence challenges
• Possesses deep technical expertise in database design, ETL (OWB/ODI), reporting, and analytics
• Previous consulting experience utilizing an agile delivery methodology
Position Requirements
• Solutions architect must have expertise as both a solutions architect and AI architect.
• 3+ years experience with Azure ETL processing
• 3+ years experience utilizing data warehousing methodologies and processes
• Strong conceptual, analytical, and decision-making skills
• Knowledge and Experience of dimensional modeling
• Strong knowledge of Azure Databricks
• Proficiency in creating PL/SQL packages
• Full SDLC and Data Modeling experience
• Ability to create both logical and physical data models
• Ability to tune databases for maximum performance
• Experience in Data Preparation: Data Profiling, Data Cleansing, and Data Auditing
• Ability to work with Business Analysts to create functional specifications and data
• Manages QA functions
• Develops unit, system, and integration test plans and manages execution
• Ability to write technical and end-user system documentation
• Excellent written and oral communication skills
• Experience transforming logical business requirements into appropriate schemas and models
• Ability to analyze and evaluate moderate to highly complex information systems by being able to interpret such devices as Entity Relation Diagrams, data dictionaries, record layouts, and logic flow diagrams
Junior Data Scientist (TS/SCI)
Data engineer job in Springfield, VA
We are seeking a junior-level Data Science professional with a strong academic foundation and early hands-on experience to join our team as a Exploitation Specialist. The ideal candidate will hold a bachelor's degree in a data science-related field and bring internship or project experience that demonstrates curiosity, initiative, and a willingness to learn from senior team members. This role is a great opportunity for someone eager to grow their technical skill set while supporting a high-impact mission.
Required Qualifications
Active TS/SCI clearance with the willingness to obtain a CI polygraph
Ability to work onsite in Northern Virginia, 40 hours per week (telework options are extremely limited)
Proficiency with Python and SQL
Preferred Qualifications
Familiarity with GEOINT collection and related NGA/NRO systems
Experience with additional programming languages such as R, JavaScript, HTML, and CSS
Understanding of object-oriented programming
Experience using visualization tools such as Grafana, Tableau, or Kibana
Ability to quickly learn new technologies, adapt to evolving mission requirements, and support the development/testing of new analytic methodologies
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.
DevOps Engineer
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
SharePoint Engineer
Data engineer job in Washington, DC
BlueWater Federal is looking for a SharePoint Engineer to support the Department of Energy in Washington, DC.
As the SharePoint Engineer, you will be responsible for designing, implementing, and maintaining SharePoint environments and solutions. This includes configuring sites, libraries, workflows, and web parts, ensuring system security, and supporting business processes through automation and integration.
Responsibilities
• Install, configure, and maintain SharePoint servers (on-premises and/or SharePoint Online).
• Monitor system performance, troubleshoot issues, and apply patches or updates.
• Manage permissions, security settings, and compliance requirements.
• Design and deploy SharePoint solutions, including custom workflows, forms, and web parts.
• Migrate data and content from legacy systems to SharePoint using scripts or third-party tools.
• Customize SharePoint sites to meet organizational needs.
• Collaborate with IT teams and IA.
• Provide technical support to end-users and site owners and create documentation
• Ensure adherence to security standards and organizational policies.
• Maintain knowledge of SharePoint best practices and emerging technologies.
Qualifications
• Bachelor's degree
• 10+ years of experience with SharePoint administration with a deep understanding of SharePoint Architecture, features and best practices.
• Must have an active Top Secret clearance with the ability to obtain a Q and SCI clearance
• Proficiency in PowerShell scripting for automation.
• Experience with migrating SharePoint versions on-premises or online (preferably using ShareGate)
• SharePoint components (Search, Taxonomy, Managed Metadata).
• Patching SharePoint server to meet organization security standards.
• Experience with HTML, CSS, JavaScript, REST API, and SQL is preferred
BlueWater Federal Solutions is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law. BlueWater Federal Solutions is a VEVRAA federal contractor and we request priority referral of veterans.
Senior Software Engineer
Data engineer job in Springfield, VA
Job Title: Senior Software Engineer
Security Clearance: Active TS/SCI (or SCI eligibility)
Omni Federal is a mid-size business focused on modern application development, cloud and data analytics for the Federal government. Our past performance is a mix of commercial and federal business that allows us to leverage the latest commercial technologies and processes and adapt them to the Federal government. Omni Federal designs, builds and operates data-rich applications leveraging advanced data modeling, machine learning and data visualization techniques to empower our customers to make better data-driven decisions
.
We are seeking a strong Software Engineer to support an NGA project in Springfield, VA. This is an exciting Modernization initiative where the NGA is embracing modern software development practices and using them to solve challenging missions & provide various capabilities for the NGA. This includes a modern technology stack, rapid prototyping in support of intelligence analysis products and capabilities, and culture of innovation. Candidates must be passionate, energized and excited to work on modern architectures and solve challenging problems for our clients.
Required Skills:
BS or equivalent in Computer Science, Engineering, Mathematics, Information Systems or equivalent technical degree.
10+ years of experience in software engineering/development, or a related area that demonstrates the ability to successfully perform the duties associated with this work.
Experience in Java or Python enterprise application development
Experience building high performance applications in React.js
Web services architecture, design, and development
Experience in PostgreSQL database design
Experience working in AWS and utilizing specific AWS tooling (S3)
Senior DevOps Engineer
Data engineer job in Columbia, MD
Veteran-Owned Firm Seeking a Senior DevOps Engineer with TS/SCI with a Full Scope Polygraph for an Onsite Role in Columbia, MD.
My name is Stephen Hrutka. I lead a Veteran-Owned management consulting firm in Washington, DC. We specialize in Technical and Cleared Recruiting for the Department of Defense (DoD), the Intelligence Community (IC), and other advanced defense agencies.
At HRUCKUS, we support fellow Veteran-Owned businesses by helping them recruit for positions across organizations such as the VA, SBA, HHS, DARPA, and other leading-edge R&D-focused defense agencies.
We seek to fill a Senior DevOps Engineer role in Columbia, MD.
The ideal candidate is a Columbia, MD resident with an active TS/SCI with a Full Scope Polygraph clearance, over 17 years of experience in DevOps, and expertise in Git, platform architecture, automation, and managing cloud infrastructure (AWS/PaaS) across both Linux and Windows environments. A minimum of five years' experience in Agile development and hands-on management of AWS/PaaS is essential.
If you're interested, I'll gladly provide more details about the role and discuss your qualifications further.
Thanks,
Stephen M Hrutka
Principal Consultant
HRUCKUS LLC
Executive Summary: HRUCKUS is looking for an experienced Senior DevOps Engineer to support a mission-critical program for the Warfighter within the National Security Sector. The scope includes platform design, building and maintaining secure release pipelines, automating deployments, and optimizing system infrastructure.
Position Description: The Senior DevOps Engineer will be responsible for designing, implementing, and maintaining the infrastructure and tools that enable our software development teams to build, test, and release software faster and more reliably. This role involves working with a variety of technologies, including cloud platforms, containerization, and configuration management tools. The ideal candidate will have a deep understanding of CI/CD principles and a passion for automation.
Position Responsibilities:
Support the development lifecycle, including platform design, deployment, and debugging.
Build and maintain a release pipeline for fast, secure delivery to production.
Automate deployments across environments using scripting languages and toolkits.
Configure sites/applications via tools like Puppet and Ansible, and maintain Confluence/Jira software.
Assist in designing/maintaining web service infrastructure and deployments.
Identify and implement process improvements through automation and streamlining.
Required Skills:
Must have an active TS/SCI with Full Scope Polygraph clearance.
Bachelor's degree with a minimum of 17 years of relevant experience, OR a Master's degree with 15 years of relevant experience
5+ years in Agile development environments.
5+ years managing AWS cloud or virtualized servers in PaaS environments.
Fluent with Git and version control best practices.
Strong knowledge of Linux environments (RHEL 6/7/8, CentOS) and Windows system administration.
Expertise with caching technologies (e.g., Memcache, Active MQ, Redis, APC), MySQL, and Elasticsearch.
Proficiency in at least one programming language (Ruby, C/C++, Go, Python, or Java).
Familiarity with security practices, networking protocols, firewalls, and PCI compliance.
Desired Skills:
Experience integrating Jenkins/Bamboo, Docker, and Kubernetes for automated deployment.
Kibana a plus.
Details:
Job Title: Senior DevOps Engineer
Location: Columbia, MD 21045
Work Arrangement: Full Time, Onsite
Clearance Requirement: Active TS/SCI with a Full Scope Polygraph
Compensation: $148,000 to $269,000 per year.
Please note: Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
We offer competitive benefits, including: Paid Time Off, 11 Paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support and Parental Paid Leave
Backend Software Engineer
Data engineer job in Fort Belvoir, VA
As a back-end developer, you know that a good site or system needs the right combination of clean code, APIs, analytics, and infrastructure to develop a user-focused solution. We're looking for a back-end developer with the software engineering skills it takes to help identify potential risks, contribute to solution development, and create efficient and effective systems for our clients.
As a back-end developer, you'll use the latest architectural approaches and open-source frameworks and tools to help deliver solutions. Using your software engineering knowledge, you'll work with and learn from the development team to create custom tools, systems, and sites with consistent performance and scalability.
In this role, you'll make a mission-forward impact as you sharpen your skillset and grow your career. Work with us as we shape systems for the better.
Qualifications
Experience with programming languages such as Ruby, Python, C#, Java, or PowerShell
TS/SCI clearance
HS diploma or GED and 7+ years of experience as a Software Engineer, or Bachelor's degree and 3+ years of experience as a Software Engineer
Certified Secure Software Lifecycle Professional (CSSLP) Certification
Additional Qualifications
Experience working on multiple OS platforms, including Linux and Windows
Experience with the Windows Computing Environment (CE)
Linux CE Certification
DoD Approved 8570 - Information Assurance Technician (IAT) Level II Certification such as CCNA Security, CySA+, GICSP, GSEC, Security+ CE, CND, or SSCP Certification, or higher level IAT Certification
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation and Benefits
Salary Range: $100,000 - $140,000 MAX (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.)
Benefits: Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron's benefits programs.
Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status.
Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.
Senior Software Engineer -- KUMDC5680656
Data engineer job in McLean, VA
Required Technical Skills
(Required)
Strong design and development skills in two or more of the following technologies and tools: Java (3-5 years) Cucumber(3-5 years), JBehave or other BDD testing frameworks
At least 8 years of test automation framework design
Strong experience in testing Webservices (REST APIs) (3+5 years)
Proven experience developing test scripts, test cases, and test data
The ability to write queries in SQL or other relational databases
3+ years of experience in developing scenario based performance testing using JMeter
Experience testing full stack and integration testing with 3rd parties
End-to-end system integration testing experience for software platforms
(Desired)
Hands on experience with Python
development experience in AWS Cloud technology
Experience in TDD, continuous integration, code review practice is strongly desired
Experience with Apigee or other API gateways is a plus
Experience with DevOps concepts and tools (e.g., CI/CD, Jenkins, Git)
At least 2 years working on an Agile team with a solid understanding of Agile/Lean practices.
Understanding of a micro service Architecture
Experience load and performance testing
Strong documentation skills
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 with ML
Data engineer job in Reston, VA
Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support.
MUST have experience with Python, PyTorch, Flask (knowledge at minimum with ability to quickly pickup), Familiarity with REST APIs (at minimum), Statistics background/experience, Basic understanding of NLP.
Desired skills for a candidate include experience performance R&D with natural language processing, deploying CNN and LLMs or foundational models, deploying ML models on multimedia data, experience with Linux System Administration (or bash), experience with Android Configuration, experience in embedded systems (Raspberry Pi).
Required Skills and Demonstrated Experience
Demonstrated experience in Python, Javascript, and R.
Demonstrated experience employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch.
Demonstrated experience with statistical inference, as well as building and understanding predictive models, using machine learning methods.
Demonstrated experience with large-scale text analytics.
Desired Skills
Demonstrated hands-on experience performing research or development with natural language processing and working with, deploying, and testing Convolutional Neural Networks (CNN), large-language models (LLMs) or foundational models.
Demonstrated experience developing and deploying testing and verification methodologies to evaluate algorithm performance and identify strategies for improvement or optimization.
Demonstrated experience deploying machine learning models on multimedia data, to include joint text, audio, video, hardware, and peripherals.
Demonstrated experience with Linux System Administration and associated scripting languages (Bash)
Demonstrated experience with Android configuration, software development, and interfacing.
Demonstrated experience in embedded systems (Raspberry Pi)
Develops and conducts independent testing and evaluation methods on research-grade algorithms in applicable fields.
Reports results and provide documentation and guidance on working with the research-grade algorithms.
Evaluates, Integrates and leverage internally-hosted data science tools.
Customize research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods
Location:
Reston, Virginia
This position is onsite and there is no remote availability.
Clearance:
Active 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.
Cloud Data Architect
Data engineer job in McLean, VA
Purpose:
As a Cloud Data Architect, you'll be at the forefront of innovation - guiding clients and teams through the design and implementation of cutting-edge solutions using Databricks, modern data platforms, and cloud-native technologies. In this role, you won't just architect solutions -you'll help grow a thriving Analytics & Data Management practice, act as a trusted Databricks SME, and bring a business-first mindset to every challenge. You'll have the opportunity to lead delivery efforts, build transformative data solutions, and cultivate strategic relationships with Fortune-500 organizations.
Key Result Areas and Activities:
Architect and deliver scalable, cloud-native data solutions across various industries.
Lead data strategy workshops and AI/ML readiness assessments.
Develop solution blueprints leveraging Databricks (Lakehouse, Delta Lake, MLflow, Unity Catalog).
Conduct architecture reviews and build proof-of-concept (PoC) prototypes on platforms like Databricks, AWS, Azure, and Snowflake.
Engage with stakeholders to define and align future-state data strategies with business outcomes.
Mentor and lead data engineering and architecture teams.
Drive innovation and thought leadership across client engagements and internal practice areas.
Promote FinOps practices, ensuring cost optimization within multi-cloud deployments.
Support client relationship management and engagement expansion through consulting excellence.
Roles & Responsibilities
Essential Skills:
10+ years of experience designing and delivering scalable data architecture and solutions.
5+ years in consulting, with demonstrated client-facing leadership.
Expertise in Databricks ecosystem including Delta Lake, Lakehouse, Unity Catalog, and MLflow.
Strong hands-on knowledge of cloud platforms (Azure, AWS, Databricks, and Snowflake).
Proficiency in Spark and Python for data engineering and processing tasks.
Solid grasp of enterprise data architecture frameworks such as TOGAF and DAMA.
Demonstrated ability to lead and mentor teams, manage multiple projects, and drive delivery excellence.
Excellent communication skills with proven ability to consult and influence executive stakeholders.
Desirable Skills
Recognized thought leadership in emerging data and AI technologies.
Experience with FinOps in multi-cloud environments, particularly with Databricks and AWS cost optimization.
Familiarity with data governance and data quality best practices at the enterprise level.
Knowledge of DevOps and MLOps pipelines in cloud environments.
Qualifications:
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related fields.
Professional certifications in Databricks, AWS, Azure, or Snowflake preferred.
TOGAF, DAMA, or other architecture framework certifications are a plus.
Qualities:
Self-motivated and focused on delivering outcomes for a fast growing team and firm
Able to communicate persuasively through speaking, writing, and client presentations
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 with teams and clients in different time zones
Research focused mindset
"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."