Clearance Required:TS/SCI with Full Scope Poly Relocation assistance:NoVisa sponsorship eligibility:NoA Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Providing analytic solutions to hundreds of companies across numerous industries, our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.We are trusted advisors to our clients, building lasting relationships and partnering as preferred analytics providers. We use a variety of programming languages and tools to create analytic solutions, often fitting within our clients' environment and needs.Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.Position Responsibilities:A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows.Required Degree and Experience: Bachelor's degree in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science) 7 years of experience, Masters Degree 5 years of experience, or PhD 2 years of experience Required Skills:Programming experience with data analysis software such as R, Python, SAS, or MATLAB.Develop experiments to collect data or models to simulate data when required data are unavailable.Develop feature vectors for input into machine learning algorithms.Identify the most appropriate algorithm for a given dataset and tune input and model parameters.Evaluate and validate the performance of analytics using standard techniques and metrics (e.g. cross validation, ROC curves, confusion matrices).Oversee the development of individual analytic efforts and guide team in analytic development process.Guide analytic development toward solutions that can scale to large datasets.Partner with software engineers and cloud developers to develop production analytics.Develop and train machine learning systems based on statistical analysis of data characteristics to support mission automation.Salary will be set based on experience, geographic location and contractual requirements, which could possibly fall outside of this range.Continuous learning, a supportive work environment, and a healthy work-life balance. We provide family health, dental, and vision benefits, employer-paid disability, paid-time off, and paid parental leave. We offer a 401(k) plan with employer contribution as well as an Employee Stock Option Plan (ESOP). Our employees enjoy reasonable hours, solid pay, low travel, and extremely flexible time off.

Description Your role at GEI. GEI Consultants has an opening in our Operational Development Team for a qualified Data Engineer to support a variety of systems and data engineering tasks focused on data flow activities. The majority of our systems are based in MS SQL Server, Tableau Server, Azure, and FastField Forms. This person will primarily work closely with members of the Operational Development Team and with members of our IT staff. The ideal candidate will be focused, detail-oriented, and driven to attain and maintain very high standards for efficiency and accuracy in data acquisition and integration into our systems. The ideal candidate will have more than 3 years of data engineering experience in the AEC industry or in similar science and/or engineering environments. GEI seeks a committed, self-motivated, organized and detail-oriented individual who anticipates issues and thrives on creative, independent problem solving within a rapid, deadline-driven environment. Essential Responsibilities & Duties ETL of data from a wide variety of sources Database and Data Warehouse design/expansion/backup & recovery Index management and optimization Support data sources for Tableau Server, Power BI, and ArcGIS Stored procedure development and maintenance Identify new opportunities within GEI where existing business approaches to data can be replaced with a more efficient/automated data flow and presentation of data for analysis Develop and optimize ETL/SSIS packages to facilitate data transfer between FTP, remote data loggers, Azure, and on-premises databases Troubleshoot SSIS package permission issues related to execute-as/data source read/write access SQL Agent Job development and monitoring Develop data reporting and visualizations as specified by clients using Tableau, SSRS, etc Perform DML and DDL via tsql/stored procedures executed directly within SSMS and remotely via SSIS Develop test plans, implementation plans, and project timelines for various data engineering projects Define, prioritize, communicate, and foster shared understanding of project objectives and scope Coordinate the development of standard operating procedures (SOPs), technical training programs, and QA/QC procedures for staff and work product Team with all staff necessary to complete assignments Collaborate with technical team members to ensure the solution design satisfies project objectives and business requirements Other duties as assigned Minimum Qualifications 3 years of experience in a position performing similar data engineering tasks Proven record of ability to design, manage, and support MS SQL Server and Azure databases Ability to work with the following programming/mark-up/scripting languages preferred: VB.net, python, XML, javascript, and R Bachelor's Degree, from an accredited college or university MS SQL Server/Azure certification preferred Ability to develop project plans and meet deadlines Self-starter with attention to detail and stakeholder needs Able to critically analyze and solve problems of a complex nature Excellent Communication skills Able to work on multiple projects of moderate complexity simultaneously and independently Proficient in organization and time management skills Familiarity with engineering, environmental science, and/or chemistry subject matter preferred. Able to work effectively in GEI's partnership model, including a team environment, building rapport and relationships. We are GEI. Some of the world's most pressing problems - from climate change to sustainable development, to critical infrastructure and the future of our energy supply - need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow. We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients' most complex challenges. With nearly 60 offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. Employee-owned. Employee-focused. As a 100% employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client-Centered, Curious, Collaborative, and Community Minded - which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI's career site here . GEI's Total Rewards Package Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus Pay Range For This Position: $33.65-72.11/hour Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More Well-Being Program and Paid Parental Leave Commuter Benefits Hybrid Work Schedules and Cell Phone Stipends GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses Paid Holidays and Generous Paid Time Off Program Rewards and Recognition GEI-Funded Profit Sharing and 401(k) Opportunity to be an Owner and Shareholder (Learn more here ) A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion And More Physical Job Requirements Sedentary X Light Medium Other Activity Level Throughout Workday Physical Activity Requirements Occasional (0-35% of day) Frequent (33-66% of day) Continuous (67-100% of day) Not Applicable Sitting X Standing X Walking X Climbing X Lifting (floor to waist level) (in pounds) X Lifting (waist level and above) (in pounds) X Carrying objects X Push/pull X Twisting X Bending X Reaching forward X Reaching overhead X Squat/kneel/crawl X Wrist position deviation X Pinching/fine motor skills X Keyboard use/repetitive motion X Taste or smell (tastenever) X Talk or hear X Accurate 20/40 Very Accurate 20/20 Not Applicable Near Vision X Far Vision X Yes No Not Applicable Color Vision (ability to identify and distinguish colors) X Sensory Requirements Minimal Moderate Accurate Not Applicable Depth perception X Hearing X Environmental Requirements Occupational Exposure Risk Potential Reasonably Anticipated Not Anticipated Blood borne pathogens X Chemical X Airborne communicable diseases X Extreme temperatures X Radiation X Uneven surfaces or elevations X Extreme noise levels X Dust/particular matter X Other (exposure risks): Usual workday hours : X 8 10 12 Other work hours GEI is an AA/equal opportunity employer, including disabled and veterans.

Palantir Data Engineer Clearance Requirement : Secret Clearance or the ability to obtain one. Preference given to candidates who have previously held a clearance and are eligible to reinstate it. Citizenship Requirement : U.S. Citizenship (USC) required. Job Description: Razor is seeking a highly skilled Palantir Data Engineer to join our team working on advanced data systems. The ideal candidate will possess a blend of front-end and back-end skills, with a strong understanding of building data pipelines, developing infrastructure, and data visualization. You will work within a mature system that requires optimization and maintenance of existing data pipelines, as well as new greenfield projects that involve creating data-driven solutions from scratch. This role offers the unique opportunity to contribute to mission-critical projects using Palantir technologies within a secure environment, requiring a Secret clearance. As a Palantir Data Engineer, you will be responsible for optimizing and maintaining an established data infrastructure, while also being involved in front-end development for user interaction, reporting, and visualization. Key Responsibilities: Data Pipeline Development: Design, develop, and optimize scalable data pipelines to process large datasets for enterprise use. Infrastructure Maintenance: Support and enhance existing data infrastructure while ensuring data integrity, reliability, and performance. Greenfield Project Execution: Lead the development of new data systems and solutions from the ground up, leveraging Palantir Foundry to integrate, manage, and analyze data. Front-end Development: Collaborate with cross-functional teams to build user-friendly dashboards and visualizations, enabling end-users to interact with data effectively. Data Integration: Work with large datasets to ensure seamless integration, data quality, and security in alignment with Palantir's capabilities. Collaboration: Work with product teams, analysts, and other engineers to define data requirements and ensure successful delivery of solutions. Security and Compliance: Ensure that all data processes and solutions comply with government security protocols and regulations. Required Skills and Qualifications : Palantir Foundry/Gotham Expertise: Proven experience with Palantir technologies, particularly in designing and maintaining data systems. Data Engineering: Strong background in building and maintaining data pipelines, ETL processes, and handling large-scale datasets. Front-end Development: Experience with data visualization tools and frameworks (e.g., dashboards, reporting tools) to create intuitive and effective user interfaces. Programming: Proficient in Python, SQL, and other relevant programming languages for data manipulation and analysis. Experience in Mature Systems: Familiarity with working in a well-established data system, optimizing performance, and maintaining data infrastructure. Greenfield Project Experience: Experience in developing data systems and solutions from the ground up. Clearance Eligibility: Active or prior Secret clearance with the ability to obtain one. Preferred Qualifications: Experience working with government agencies or defense-related projects. Knowledge of cloud-based platforms (AWS, Azure) and their integration with Palantir. Experience with data security and compliance in classified environments

Locations: VA - McLean, United States of America, McLean, VirginiaLead Data Engineer (Remote Eligible)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you''ll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you''ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You''ll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and SnowflakeShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performanceCapital One is open to hiring a Remote Employee for this opportunity. Basic Qualifications: Bachelor''s Degree At least 6 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)Preferred Qualifications:7+ years of experience in application development including Python, SQL, Scala, or Java4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City''s Fair Chance Act; Philadelphia''s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [Click Here to Email Your Resum]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One''s recruiting process, please send an email to [Click Here to Email Your Resum]Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Locations: US Remote, United States of AmericaSenior Data Engineer (Remote)The Capital One Apollo team is a part of the Emerging Merchant Business Technology teams, one of the most upcoming lines of business at Capital One! We are on a bold mission to create a clean 360-degree view of every business in the United States. It''s a team that develops the core technology which drives our industry-leading understanding of the U.S. business landscape, generating valuable business insight from many disparate sources. The Apollo team is building technology that allows us to acquire, understand, and make inferences on large, disparate business data sets. This requires ideas from across the machine learning skillset, applied to problems and data that are unique to our business. You''ll do it all in a collaborative environment that values your insight, encourages you to take on new responsibilities, promotes continuous learning, and rewards innovation.What You''ll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as SnowflakeShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityWork closely with product teams in order to deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performanceBasic Qualifications:Bachelor''s DegreeAt least 4 years of experience in application development (Internship experience does not apply)At least 2 years of experience in big data technologiesPreferred Qualifications:Master''s Degree5+ years of experience in application development (Python, Scala)3+ years of experience with Distributed data/computing tools (EMR, Spark, Kubernetes, Kafka, Kinesis, MapReduce, Hadoop, Hive, or Flink) 2+ years of experience with orchestration tools (Airflow, Kubeflow)2+ years of experience with containerization tools (Docker, ECS)2+ years of experience with a public cloud (AWS, Google Cloud, Microsoft Azure)2+ years of data warehousing experience (Snowflake or Redshift)2+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this positionNo agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City''s Fair Chance Act; Philadelphia''s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [Click Here to Email Your Resum]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One''s recruiting process, please send an email to [Click Here to Email Your Resum]Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Title : Big Data Engineer Location : Hybrid( 1 day onsite 4 days remote in Rockville, MD) Term : Long Term Contract to hire Available for W2 or 1099, No C2C Job Description: Our client is looking for a rock star Big Data Engineer to support an internal business stakeholder with their big data capabilities, being responsible for supporting technical initiatives in data engineering, data analytics and software integration. The candidate must come from a true big data environment run on the AWS Cloud. Python coding and SQL querying skills must be top-notch since this position is very technical. Our client is looking for a junior-mid data engineer, so the ideal candidate will have 5 years of experience. Required : BS in Computer Science, Math, Physics and/or EE Expertise in Python Coding Expertise in structuring complex, advanced queries in SQL Test-driven development Building unit tests Must have Experience with Big Data Technologies Nice to have : Spark experience Data Architecture Experience AWS expertise with services related to big data S3, EC2, EMR Previous big data engineering experience Thanks for applying

Center 1 (19052), United States of America, McLean, VirginiaData Engineer (Remote-Eligible)Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you''ll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Data Engineer, you''ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You''ll Do:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologiesWork with a team of developers with deep experience in Public cloud services (AWS), Big Data, machine learning, distributed microservices, and full stack systemsUtilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and SnowflakeShare your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering communityCollaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowermentPerform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performanceCapital One is open to hiring a Remote Employee for this opportunityBasic Qualifications:Bachelor''s Degree At least 2 years of experience in application development (Internship experience does not apply)At least 1 year of experience in big data technologies Preferred Qualifications: 3+ years of experience in application development including Python, SQL, Scala, or Java3+ years experience with distributed data computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)3+ years of data warehousing and relational database experience (Snowflake, Oracle, or PostGreSQL) 3+ years of experience in PySpark2+ years of experience with AWS services (EC2, EMR, ECS, S3, SNS, Lambda, RDS, EFS, or VPC) 2+ years of experience with AWS Security Groups or Identity and Access Management2+ years of experience building CI/CD pipelines2+ years of experience with UNIX/Linux including basic commands and shell scripting1+ years of experience working on real-time data and streaming applications 1+ years of experience with NoSQL implementation (Mongo or Cassandra) 1+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization for this position.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City''s Fair Chance Act; Philadelphia''s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [Click Here to Email Your Resum]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.For technical support or questions about Capital One''s recruiting process, please send an email to [Click Here to Email Your Resum]Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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Data Engineer Jobs in Derwood, MD

Data Data EngineerDecember 16, 2024

Data EngineerDecember 6, 2024

Palantir Data EngineerDecember 6, 2024

Data EngineerDecember 5, 2024

Lead Data Engineer Remote EligibleDecember 2, 2024

Senior Data Engineer RemoteDecember 1, 2024

Big Data Engineerhybrid In RockvillemdNovember 30, 2024

Data Engineer RemoteeligibleNovember 29, 2024