Data engineer jobs in Hagerstown, MD

Absolute Business Solutions Corp (ABSC) is not just another tech company. We re a community of innovators, engineers, analysts and business professionals working together with our customers to tackle the most complex challenges. For more than 20 years we ve supported critical DoD, IC and Federal Civilian missions and global, multi-national corporations. We specialize in supporting our clients in the Intelligence, Technology, Defense, AI/ML, and Data Science fields. As we continue to grow at a rapid pace, we are seeking some amazing new professionals to join our team. We are actively hiring a TS/SCI-cleared Data Scientist to work closely with our sister company/software Syntasa where you ll be leveraging a multitude of big data, ML and statistical methods to help our customers realize the potential of modern data science and data-driven approaches. You will be working from an end-to-end basis by building the data pipelines needed for your models, building/optimizing the models and enabling your data driven outputs to be leveraged by both stakeholders and downstream applications. We work across several public sector and commercial clients, thus allowing your data expertise to help facilitate positive outcomes across a broad range of sectors. This role is a hybrid role (on-site Syntasa, customer site, and telework) in Herndon, VA; St. Louis, MO; or Aurora, CO. Clearance Required for this role: TS/SCI eligibility with willingness/ability to obtain CI polygraph. Will consider strong candidates with SECRET clearance willing to be elevated. Requirements: Bachelor s Degree with up to 2 years experience in an analytical role as a data scientist, analyst or machine learning engineer. Will consider years experience in lieu of degree. An ability to work with data using SQL and tools for statistical analysis (eg. Python, R) Solid knowledge of statistics and probability, with demonstrated experience applying these techniques to commercial use cases such as ML models and A/B tests Demonstrated experience of developing, deploying and maintaining ML models and data pipelines within a commercial setting. Demonstrated experience of translating business and/or project requirements into insights, models and data products that generated tangible business value. An ability to work effectively in a team setting and familiarity with commercial collaboration tools such as JIRA and Confluence. A strong communicator able to present data driven insights to non-technical stakeholders while also having fruitful conversations with engineering teams Curiosity and attention to detail with regards to data quality, distributions, biases and governance. An ability to work effectively within a fast paced and dynamic environment. An awareness and keen interest in the latest trends / techniques within data, machine learning and AI. Fluent in Python/Scala/R as well as SQL/NOSQL with demonstrable experience. Experience with Apache Spark or other Big Data tools like Apache Flink/MapReduce Familiar with Big Data tools such as EMR/ Dataproc /Cloudera/Hortonworks Familiar with orchestration tools such as Airflow/DBT/NiFi Experience with LLM s and GPT models a plus. Desired qualifications Experience with cloud solution providers such as GCP, AWS and Azure Prior experience building robustable and reusable code Knowledge of NLP and Image processing Prior experience with REST APIs An understanding of version control, modularity and maintaining code within a production setting. An understanding of the web analytics and digital marketing ecosystem (eg. Adobe, Salesforce, Google) Prior experience working with DMPs and CDPs Prior consulting experience Salary is commensurate with experience. Salary range for this requisition is: $75k-$150k annual. Who we are: ABSC is a technology and services company that combines the agility of a small business with proven processes refined over more than two decades in business. We specialize in supporting public sector clients in the Intelligence, Defense, Health, and Safety areas. Our team stands ready to deliver the next generation of programs, personnel, and solutions to help advance our federal government customers driving innovation, agility, and security across all mission areas. Some of our benefits include: 4 weeks of PTO plus 11 Federal Holidays Retirement Planning 401k Fully Vested with Match Tuition Assistance Program Annual contributions to help you pay down your loans Annual Health and Wellness Allowance buy an Apple Watch, a treadmill, or hit the gym on us Career Development Annual Funds to spend on Education and Training Volunteer Time Off Annually, all employees can spend 8 hours directly supporting a charity of choice Charitable Match ABSC matches an employee s donation to a qualifying charity Paid Parental Leave Employees receive 3 weeks of paid parental leave at 100% pay Referral Program We pay for internal and external referrals! LOV Awards Earn bonus awards throughout the year from our Living Our Values awards program Apply to join our team today! We are always looking to grow our team - if you know someone who is seeking a new career opportunity, please share this job opening with them! ABSC offers generous external referral bonuses. You don t need to be an employee to benefit from our Referral Program! *ABSC is a proud V3, Virginia Values Vets, member which recognizes our commitment to hiring Veterans. If you are a veteran, please be sure to include that in your application. Thank you! * Equal Opportunity Employer, including veterans and individuals with disabilities.

Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

Thank you for considering IT Concepts dba Kentro, where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions, fostering professional growth, and making a positive impact on our communities. By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones. Kentro is hiring a Data Scientist to support the Defense Health Agency and the Medical Logistics IT division. This role will support the MEDLOG IT PMO as it leads the charge to replace capabilities in legacy MEDLOG IT applications and fully implement LogiCole. Upon reaching full operating capability, LogiCole will roll all legacy medical logistics applications into a single, web-based application and provide an enterprise view of all logistics lines of business. This role will be a pivotal part of the implementation of LogiCole and the decommissioning of legacy applications - providing intuitive user interfaces, leveraging authoritative product and sourcing data, and fully integrating federal and industry partners. Responsibilities: Complete functional data analysis based on current business problems. Coordinate requirements/acceptance criteria with the functional community and validate that the product meets the acceptance criteria prior to accepting functionality. Within the DML-ES systems, help manage supplier and manufacturer data from multiple sources, including anticipated changes through mergers and acquisitions. Support implementation of solutions that standardize, integrate, and provide a unified view of the business entities in all contexts. Provide analysis of legacy medical logistics transactional, data and reporting capabilities. Work across value streams to lead and support project management activities in the implementation of the LogiCole application. Support various strategic and business process improvement efforts. Improve workflows to simplify user management of system generated recommendations and alerts. Make improvement recommendations in collaboration with Government Leads and Product Owners. Support MVCs throughout LogiCole implementation. Location: Hybrid - Frederick, MD. The primary work location is on-site at Fort Detrick, MD. If the candidate meets all client requirements, we may arrange for the candidate to work at other locations. Salary Range: $120,000-$135,000/annually. Factors influencing pay within this range include geography, market demand, skills, education, experience, and other qualifications of the successful candidate. Requirements 5+ years' experience in Data Science or related field Bachelor's Degree or higher in a related field or applicable experience Experience as a management consultant/business analyst supporting federal government customers Experience developing strategic communications artifacts and presentations for senior leadership within the federal government Excellent verbal and written communication skills Strong attention to detail and ability to multitask Experience using statistical methods to measure outcomes Travel may be required up to 10% based on project needs Preferred: Experience with federal supply chain, policies, processes, and data DoD experience and/or familiarity strongly preferred Clearance: Must be able to obtain and maintain a Public Trust clearance Must be a U.S. citizen Must meet updated ID requirements: ******************************************************************************************************************************************************** If you do not currently meet the ID requirements outlined, you must be willing and able to update your current forms of ID in a timely manner to complete the suitability process successfully. Benefits The Company We believe in generating success collaboratively, enabling long-term mission success, and building trust for the next challenge. With you as our partner, let's solve challenges, think innovatively, and maximize impact. As a valued member of our team, you have the unique opportunity to work in a diverse range of technology and business career paths, all while supporting our nation and delivering innovative technology solutions. We are a close community of experts that pride ourselves on creating an environment defined by teamwork, dedication, and excellence. We hold three ISO certifications (27001:2013, 20000-1:2011, 9001:2015) and two CMMI ML 3 ratings (DEV and SVC). Industry Recognition Growth | Inc 5000's Fastest Growing Private Companies, DC Metro List Fastest Growing; Washington Business Journal: Fastest Growing Companies, Top Performing Small Technology Companies in Greater D.C. Culture | Northern Virginia Technology Council Tech 100 Honoree; Virginia Best Place to Work; Washington Business Journal: Best Places to Work, Corporate Diversity Index Winner - Mid-Size Companies, Companies Owned by People of Color; Department of Labor's HireVets for our work helping veterans transition; SECAF Award of Excellence finalist; Victory Military Friendly Brand; Virginia Values Veterans (V3); Cystic Fibrosis Foundation Corporate Breath Award Benefits We offer competitive benefits package including paid time off, healthcare benefits, supplemental benefits, 401k including an employer match, discount perks, rewards, and more. We invest in our employees - Every employee is eligible for education reimbursement for certifications, degrees, or professional development. Reimbursement amounts may fluctuate due to IRS limitations. We want you to grow as an expert and a leader and offer flexibility for you to take a course, complete a certification, or other professional growth and networking. We are committed to supporting your curiosity and sustaining a culture that prioritizes commitment to continuous professional development. We work hard; we play hard. Kentro is committed to incorporating fun into every day. We dedicate funds for activities - virtual and in-person - e.g., we host happy hours, holiday events, fitness & wellness events, and annual celebrations. In alignment with our commitment to our communities, we also host and attend charity galas/events. We believe in appreciating your commitment and building a positive workspace for you to be creative, innovative, and happy. Commitment Equal Opportunity Employment & VEVRAA Kentro is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state or local law. Kentro is strongly committed to compliance with VEVRAA and other applicable federal, state, and local laws governing equal employment opportunity. We have developed comprehensive policies and procedures to ensure our hiring practices align with these requirements. As part of our VEVRAA compliance efforts, Kentro has established an equal opportunity plan outlining our commitment to recruiting, hiring, and advancing protected veterans. This plan is regularly reviewed and updated to ensure its effectiveness. We encourage protected veterans to self-identify during the application process. This information is strictly confidential and will only be used for reporting and compliance purposes as required by law. Providing this information is voluntary and will not impact your employment eligibility. Our commitment to equal employment opportunity extends beyond legal compliance. We are dedicated to fostering an inclusive workplace where all employees, including protected veterans, are treated with dignity, respect, and fairness. How to Apply To apply to Kentro Positions- Please click on the: “Apply for this Job” button at the bottom of this Job Description or the button at the top: “Application.” Please upload your resume and complete all the application steps. You must submit the application for Kentro to consider you for a position. If you need alternative application methods, please email ***************** and request assistance. Accommodations To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable Accommodations may be made to enable qualified individuals with disabilities to perform the essential functions. If you need to discuss reasonable accommodations, please email *****************. #LI-SB2

Who is USP? The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide. At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health. USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds-regardless of background-to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment. Brief Job Overview The USP Advanced Manufacturing Technologies (AMT) team seeks to continuously improve medicines through practical applications and solutions in advanced manufacturing and analytical technologies that increase medicine quality and strengthen supply chain resiliency. The AMT team helps make drugs in new ways, test the quality of drugs in new ways, and build more efficient, sustainable, and competitive industries both in the US and around the globe. To do this work, the AMT team brings together expertise in chemistry, biologics, engineering, data science, economics, business, and regulatory science. The AMT Data Scientist is a scientific professional who leverages data science expertise to support scientific, supply chain, and sustainability programs. This will include, but are not limited to, the following program areas: 1) MedSuRe Climate-smart work package building baseline and improvement models of manufacturing, energy, water, waste, and resource utilization; 2) AI/ML models to streamline pharmaceutical supply chain vulnerability and solution analyses; and 3) processing and modeling spectroscopy data generated by process analytical technologies (PAT) research and development solutions. The role emphasizes cross-disciplinary collaboration on time-sensitive externally and internally funded projects and development of proposals for new projects. The workload balance in these areas depends on external funding priorities and projects. This is a two-year fixed term position . The term may be extended based on external funding priorities and projects. How will YOU create impact here at USP? As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards. Additionally, USP's People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments. The AMT Data Scientist has the following responsibilities: Create, validate, and continually refine multivariate models using principal component analysis (PCA), partial least squares (PLS), and advanced machine learning (ML) algorithms. Use of normalization, mean-centering, and cross-validation strategies to ensure model robustness and interpretability while managing high-dimensional data sets. Employ advanced model-based approaches for scenario simulation, risk prediction, and mitigation optioning. Apply data science expertise to the development of carbon footprint models of pharmaceutical manufacturing that incorporate energy, process technologies, water, waste, transportation, and packaging. Build, validate, and implement life-cycle assessment models and tools for current and future applications. Build, validate, and implement predictive models in both the sustainable manufacturing and supply chain spaces. Model trade-offs and conduct scenario analysis to optimize yield, reduce waste, and cost of production. Develop AL/ML tools for internal use within the AMT team to improve efficiency and quality of complex, technical and economic analyses. Use of AI/ML-driven retrosynthetic tools (e.g., AIZynthFinder, SYNCHEM) and multi-target convergent synthesis frameworks to design efficient, cost-effective pathways for active pharmaceutical ingredients (APIs) and intermediates. In collaboration with USP science staff, analyze high-dimensional data from analytical platforms such as NIR, Raman, FTIR, and HPLC employing chemometric methods to extract actionable insights. Author and execute protocols for method design, model building, and validation for advanced manufacturing technologies. Act as a subject-matter expert on data science on cross-functional projects, including the technical design of proposals Ensure all work is done on-time, meets client expectations, and exemplifies the trust, quality, and reliability expected from a USP solution. Other duties as assigned. Who is USP Looking For? The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: Bachelor's Degree and seven (7) years of relevant experience; master's degree and five (5) years of relevant experience; or a Ph.D. and (3) years of relevant experience required. Demonstrated experience applying statistical techniques to complex systems as well as developing or applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection. Programming and computational abilities in data science languages and frameworks (e.g., Python-Pandas, scikit-learn, TensorFlow; R; MATLAB; Pyomo). Strong analytical reasoning, critical thinking, and troubleshooting ability. High attention to detail and integrity. Demonstrates initiative to solve problems and develop solutions on a deadline. Solid communications skills - both written and oral. Desire to affect change and drive public health impact. Additional Desired Preferences Preferred degrees in data science, statistics, chemical engineering, or closely related field with significant emphasis in mathematical and statistical methods to extract meaningful information. Working knowledge of manufacturing in the pharmaceutical industry. Familiarity with the applying data science to climate risk or other environmental domains. Experience executing on contract work. Supervisory Responsibilities None, this is an individual contributor role. Benefits USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. Compensation Base Salary Range: USD $87,200.00 - $113,450.00 annually. Target Annual Bonus: % Varies based on level of role. Individual compensation packages are based on various factors unique to each candidate's skill set, experience, qualifications, equity, and other job-related reasons. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP.

**Who is USP?** The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's leading health and science experts to develop rigorous quality standards for medicines, dietary supplements, and food ingredients. At USP, we believe that scientific excellence is driven by a commitment to fairness, integrity, and global collaboration. This belief is embedded in our core value of Passion for Quality and is demonstrated through the contributions of more than 1,300 professionals across twenty global locations, working to strengthen the supply of safe, high-quality medicines worldwide. At USP, we value inclusive scientific collaboration and recognize that attracting diverse expertise strengthens our ability to develop trusted public health standards. We foster an organizational culture that supports equitable access to mentorship, professional development, and leadership opportunities. Our partnerships, standards, and research reflect our belief that ensuring broad participation in scientific leadership results in stronger, more impactful outcomes for global health. USP is proud to be an equal employment opportunity employer (EEOE) and is committed to ensuring fair, merit-based selection processes that enable the best scientific minds-regardless of background-to contribute to advancing public health solutions worldwide. We provide reasonable accommodations to individuals with disabilities and uphold policies that create an inclusive and collaborative work environment. **Brief Job Overview** The USP Advanced Manufacturing Technologies (AMT) team seeks to continuously improve medicines through practical applications and solutions in advanced manufacturing and analytical technologies that increase medicine quality and strengthen supply chain resiliency. The AMT team helps make drugs in new ways, test the quality of drugs in new ways, and build more efficient, sustainable, and competitive industries both in the US and around the globe. To do this work, the AMT team brings together expertise in chemistry, biologics, engineering, data science, economics, business, and regulatory science. The **AMT Data Scientist** is a scientific professional who leverages data science expertise to support scientific, supply chain, and sustainability programs. This will include, but are not limited to, the following program areas: 1) MedSuRe Climate-smart work package building baseline and improvement models of manufacturing, energy, water, waste, and resource utilization; 2) AI/ML models to streamline pharmaceutical supply chain vulnerability and solution analyses; and 3) processing and modeling spectroscopy data generated by process analytical technologies (PAT) research and development solutions. The role emphasizes cross-disciplinary collaboration on time-sensitive externally and internally funded projects and development of proposals for new projects. The workload balance in these areas depends on external funding priorities and projects. **This is a two-year fixed term position** . The term may be extended based on external funding priorities and projects. **How will YOU create impact here at USP?** As part of our mission to advance scientific rigor and public health standards, you will play a vital role in increasing global access to high-quality medicines through public standards and related programs. USP prioritizes scientific integrity, regulatory excellence, and evidence-based decision-making to ensure health systems worldwide can rely on strong, tested, and globally relevant quality standards. Additionally, USP's People and Culture division, in partnership with the Equity Office, invests in leadership and workforce development to equip all employees with the skills to create high-performing, inclusive teams. This includes training in equitable management practices and tools to promote engaged, collaborative, and results-driven work environments. The **AMT Data Scientist** has the following responsibilities: + Create, validate, and continually refine multivariate models using principal component analysis (PCA), partial least squares (PLS), and advanced machine learning (ML) algorithms. + Use of normalization, mean-centering, and cross-validation strategies to ensure model robustness and interpretability while managing high-dimensional data sets. + Employ advanced model-based approaches for scenario simulation, risk prediction, and mitigation optioning. + Apply data science expertise to the development of carbon footprint models of pharmaceutical manufacturing that incorporate energy, process technologies, water, waste, transportation, and packaging. + Build, validate, and implement life-cycle assessment models and tools for current and future applications. + Build, validate, and implement predictive models in both the sustainable manufacturing and supply chain spaces. + Model trade-offs and conduct scenario analysis to optimize yield, reduce waste, and cost of production. + Develop AL/ML tools for internal use within the AMT team to improve efficiency and quality of complex, technical and economic analyses. + Use of AI/ML-driven retrosynthetic tools (e.g., AIZynthFinder, SYNCHEM) and multi-target convergent synthesis frameworks to design efficient, cost-effective pathways for active pharmaceutical ingredients (APIs) and intermediates. + In collaboration with USP science staff, analyze high-dimensional data from analytical platforms such as NIR, Raman, FTIR, and HPLC employing chemometric methods to extract actionable insights. + Author and execute protocols for method design, model building, and validation for advanced manufacturing technologies. + Act as a subject-matter expert on data science on cross-functional projects, including the technical design of proposals + Ensure all work is done on-time, meets client expectations, and exemplifies the trust, quality, and reliability expected from a USP solution. + Other duties as assigned. **Who is USP Looking For?** The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: + Bachelor's Degree and seven (7) years of relevant experience; master's degree and five (5) years of relevant experience; or a Ph.D. and (3) years of relevant experience required. + Demonstrated experience applying statistical techniques to complex systems as well as developing or applying techniques such as pre-processing, classification, regression, clustering, dimensionality reduction and model selection. + Programming and computational abilities in data science languages and frameworks (e.g., Python-Pandas, scikit-learn, TensorFlow; R; MATLAB; Pyomo). + Strong analytical reasoning, critical thinking, and troubleshooting ability. + High attention to detail and integrity. + Demonstrates initiative to solve problems and develop solutions on a deadline. + Solid communications skills - both written and oral. + Desire to affect change and drive public health impact. **Additional Desired Preferences** + Preferred degrees in data science, statistics, chemical engineering, or closely related field with significant emphasis in mathematical and statistical methods to extract meaningful information. + Working knowledge of manufacturing in the pharmaceutical industry. + Familiarity with the applying data science to climate risk or other environmental domains. + Experience executing on contract work. **Supervisory Responsibilities** None, this is an individual contributor role. **Benefits** USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. **Compensation** Base Salary Range: USD **$87,200.00 - $113,450.00** annually. Target Annual Bonus: % Varies based on level of role. Individual compensation packages are based on various factors unique to each candidate's skill set, experience, qualifications, equity, and other job-related reasons. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights (**************************** notice from the Department of Labor. **Job Category** Information Technology **Job Type** Full-Time

FRDA is looking for a skilled CNO Developer/Data Scientist who will participate in security research, design, development, verification, and deployment of complex new software in support of new and existing requirements. The role includes a mix of vulnerability research and development of cyber capabilities involving desktop and mobile platforms. You will support a variety of short-range and medium-range customer operations requiring custom solutions. Your engineering experience and skills from the following areas will be applied to meet requirements: Vulnerability Research, Reverse Engineering, Networking, Virtualization, Firmware, and/or C, as well as data science, large language model training, and experience in C programming for high-performance systems. Minimum Basic Requirements for Skills, Experience, Education, and Credentials: * 5+ years of professional software development experience * Demonstrated experience in writing software in: Python, C, C++, or similar languages * Demonstrated experience in reverse engineering, vulnerability research, and exploitation * Development experience in one or more of the following platforms: Linux, Windows, iOS, Android * Proven experience in data science techniques, including data collection, analysis, and modeling * Experience in developing and optimizing large language models (LLMs) for security-related tasks and applications * Hands-on experience in C development for system-level or performance-critical applications * Related BA/BS degree from an accreditted college or university or five years of additional related work experience * US Citizenship and an active TS/SCI with Polygraph security clearance required Preferred Qualifications include: * Demonstrated in-depth understanding of low-level development at the OS level is preferred * MA/MS Degree in related technical field is preferred * Kernel experience * RE experience with Ghidra, IDA Pro, BNinja * VR/RE/exploit experience as it pertains to the Linux Kernel or Android OS/Kernel * Experience with machine learning, particularly in training and deploying large language models for cybersecurity use cases * Familiarity with data science libraries (e.g., TensorFlow, PyTorch) and tools for processing large datasets in security contexts Reasonable Accommodations: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. FRDA, LLC is committed to the full inclusion of all qualified individuals. As part of this commitment, FRDA will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, employees and applicants should contact Human Resources. FRDA is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, train, compensate, discharge or any other term or condition of employment, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

FRDA is looking for a skilled CNO Developer/Data Scientist who will participate in security research, design, development, verification, and deployment of complex new software in support of new and existing requirements. The role includes a mix of vulnerability research and development of cyber capabilities involving desktop and mobile platforms. You will support a variety of short-range and medium-range customer operations requiring custom solutions. Your engineering experience and skills from the following areas will be applied to meet requirements: Vulnerability Research, Reverse Engineering, Networking, Virtualization, Firmware, and/or C, as well as data science, large language model training, and experience in C programming for high-performance systems. Minimum Basic Requirements for Skills, Experience, Education, and Credentials: 5+ years of professional software development experience Demonstrated experience in writing software in: Python, C, C++, or similar languages Demonstrated experience in reverse engineering, vulnerability research, and exploitation Development experience in one or more of the following platforms: Linux, Windows, iOS, Android Proven experience in data science techniques, including data collection, analysis, and modeling Experience in developing and optimizing large language models (LLMs) for security-related tasks and applications Hands-on experience in C development for system-level or performance-critical applications Related BA/BS degree from an accreditted college or university or five years of additional related work experience US Citizenship and an active TS/SCI with Polygraph security clearance required Preferred Qualifications include: Demonstrated in-depth understanding of low-level development at the OS level is preferred MA/MS Degree in related technical field is preferred Kernel experience RE experience with Ghidra, IDA Pro, BNinja VR/RE/exploit experience as it pertains to the Linux Kernel or Android OS/Kernel Experience with machine learning, particularly in training and deploying large language models for cybersecurity use cases Familiarity with data science libraries (e.g., TensorFlow, PyTorch) and tools for processing large datasets in security contexts Reasonable Accommodations: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. FRDA, LLC is committed to the full inclusion of all qualified individuals. As part of this commitment, FRDA will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, employees and applicants should contact Human Resources. FRDA is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, train, compensate, discharge or any other term or condition of employment, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.

We are looking for a Web Developer responsible for managing the interchange of data between the server and the users, as well as translating the UI/UX design wireframes to actual code that will produce the visual elements of the application. You will also design the overall architecture of the web application and evolve it to ensure maximum performance and stability. Responsibilities Design of the overall architecture of the web application Implementation of a robust set of services and APIs to power the web application Building reusable code and libraries for future use Optimization of the application for maximum speed and scalability Implementation of security and data protection Translation of UI/UX wireframes to visual elements Integration of the front-end and back-end aspects of the web application Skills and Qualifications Proficient knowledge of a back-end programming language Understanding differences between multiple delivery platforms (such as mobile vs, desktop), and optimizing output to match the specific platform Good understanding of server-side templating languages Good understanding of server-side CSS preprocessors Creating database schemas that represent and support business processes Data migration, transformation, and scripting Management of hosting environment, including database administration and scaling an application to support load changes Understanding of fundamental design principles behind a scalable application

Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven decision making for our clients. You will leverage your expertise in statistics, machine learning, and data analysis to extract insights from large datasets and solve complex business problems. Responsibilities: Collect, clean, and prepare data for analysis. Develop and implement machine learning models for various tasks (e.g., classification, prediction, recommendation). Analyze data to identify trends, patterns, and insights. Communicate findings and recommendations to stakeholders in a clear and concise manner. Collaborate with engineers and other data professionals to build and deploy data-driven solutions. Stay up-to-date with the latest advancements in data science techniques and technologies. Preferred Skills: Strong mathematical and statistical skills. Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch). Experience with data visualization tools (Tableau, Power BI). Excellent communication and presentation skills. Strong problem-solving and critical thinking skills. Ability to work independently and as part of a team. Basic Qualifications: Active TS/SCI with poly clearance is required. Bachelors degree in Data Science, Statistics, Computer Science, or related field. 2+ years of experience in data science or a related role. Understanding of machine learning concepts and techniques. Disclaimer: The information provided in this is accurate and truthful to the best of our knowledge. However, it is not intended to be a contract, and we reserve the right to modify the job description at any time. Altus Consulting is dedicated to diversity and inclusion, building a work environment where everyone feels respected and valued. We firmly believe in equal opportunity, guaranteeing fair and unbiased treatment for all individuals in all aspects of employment, regardless of race, color, religion, national origin, gender, sexual orientation, gender identity, pregnancy, childbirth or related medical conditions, age, protected veteran status, or disability status. We oppose discrimination in any form, and our commitment is evident in every interaction.

Omnibus Technologies & Solutions, LLC is a consulting company that makes it a priority to provide stellar customer service. Our objective is to hire innovative, dedicated, and intelligent talent that is capable and willing to assist the customer in achieving their organizational goals. Description: We are currently seeking a Data Scientist / Developer in Herndon, VA for a unique position for a strong applications developer to work on a high-profile suite of services that will supply users with productionized data analytics to assist the wide range of Information management mission activities conducted across the customer organization. The candidate will work with a team of software developers and data scientists to refine the new baseline of analytic tools and build out new tools on a routinized production cadence to meet the evolving needs of Sponsor users. This is an exciting opportunity for developers wanting to broaden their credentials in the realm of high-demand data analytics. Development will take place in an iterative fashion using scrum techniques with inputs from the Project Manager, IT Division Leadership, Technical Director, and Subject Matter Experts and other business stakeholders. The candidate must have the ability to communicate with project team members, user community, and leadership to assess changes and demonstrate iterative progress. This position will include a variety of activities, including: Participation with iterative software development teams with adherence to all reporting requirements Designing, developing and unit testing code for a production system and demonstration capabilities Developing iterative screen mock ups, use of rapid prototyping to drive out requirements and design Providing demonstrations and detailed walk through of features to a variety of technical and non-technical audiences Meeting with stakeholders, analyzing requirements, developing user stories and related artifacts, and translating these into software development tasks Working with systems engineers to specify and design the final system Development of technical documentation and briefing materials to support program status reviews, control gates, and other presentations as directed Required Qualifications: TS/SCI Polygraph Bachelor's degree in Computer Science, Math, or other relevant field and minimum of six years of experience (Master's degree equates to an additional 2 years of relevant work experience) Demonstrated job experience with text analytics and its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization, document categorization) Demonstrated job experience to cleanse and process (Extract, Transform, Load - ETL) large raw data sets. Demonstrated job experience researching and implementing novel machine learning algorithms for new business problems Demonstrated job experience developing proof of concepts of new technologies and evaluate the state of the art in machine learning algorithms for text analytics Demonstrated job experience in designing (in Python and/or Java) and developing web-based platforms and services to perform data analytics on large data sets Demonstrated ability to design, develop, test and implement new applications based on project requirements Preferred Qualifications: Demonstrated job experience working in Linux (Bash) shell scripting Demonstrated job experience with machine learning tools such as TensorFlow Demonstrated job experience with Solr or Elastic Search Demonstrated job experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc) Demonstrated job experience with NoSQL data stores such as MongoDB, DynamoDB, HBase, and Cassandra Demonstrated job experience with performing advanced analytics against big data Demonstrated job experience with development and deployment of applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment Demonstrated job experience using tools such as spa Cy, Apache OpenNLP, Stanford CoreNLP, NLTK, LingoClustering, or Gensim Natural Language Processing Demonstrated job experience with Natural Language Processing Demonstrated job experience in Agile software development teams using scrum techniques Demonstrated job experience using Jira, Confluence, and GitHub for documenting work Demonstrated job experience working in a project team (3-5 developers) with experience in decomposing concepts to discrete development tasks and managing your work to a deadline Benefits: Healthcare - Comprehensive medical benefits program that offers a wide variety of coverage options to include Company-paid Medical, Dental, and Vision Insurance Paid Time Off (PTO) - Employees are eligible for 240 hours of leave (Holidays, Vacation Days and your Birthday). Insurances - Company-Paid Life Insurance with Accidental Death & Dismemberment, Company-Paid Short Term and Long Term Disability Insurance, Supplemental Accident Insurance, Supplemental Critical Illness Insurance , Supplemental Life Insurance with Accidental Death & Dismemberment. Retirement - 401(k) Retirement Plan with a wide range of investment options and a company-provided contribution of 5%. Referral Bonus Program - We offer $5,000 to our employees who refer qualified candidates that are brought on board.

TekWissen's, Staffing division is a recruitment-centric organization focused on providing talent acquisition services (both IT and non-IT) in the Technology, Engineering, Clinical, Legal, Scientific, Finance, Marketing, Professional and Payroll Management arenas to clients across the US, and India. Founded in 2009, TekWissen is one of the fastest growing Staffing firm in United States. We have been recognized by Inc. 5000 fastest growing companies in USA with ranking # 192, #15 Top IT Service Company in 2014 by Inc.com, #6 Top Michigan Companies in 2014 again by Inc.com, Michigan 50 Companies to Watch in 2014, FastTrack Award for 2014. Position :Informatica Architect with MDM experience Location: Herndon, VA Duration :Contract-long-term & Full time Required Skills: • Strong hands on Informatica 9.x/9.5/9.6 experience in architecting, engineering, performance/capacity engg, deployment standards in production, product integration, product support, overall fitment(product usage), sizing and setting up Informatica Environments. • Experience with integrating metadata, etl processes and testing environments. • Hands-on experience in platform configuration, code development, best practices, design patterns and use cases of MDM, Data Virtualization, Data Services, Proactive Monitoring, Data Exchange, Data transformation, Persistent data masking, Test data management, Power exchange and Power Center. • Hands-on experience in configuration, design and development of large scale ETL and Enterprise Data Warehouse applications. • Hands-on Informatica process Automation experience using Perl and unix shell scripting. • Experience with XML, Web service development • Strong understanding of Oracle database, SQL optimization, SOA concepts, design patterns, tools, techniques and best practices. • Strong ability to understand, document and communicate technical architectures, best practices, toolsets and solutions. • Candidates should have experience with production support. • ESB's such as MQ/JMS or Tibco EMS are nice to have skills. • Familiarity with Informatica Connectors, Core DW infrastructure and experience with appliance such as Teradata, Netezza and Exadata would be a big plus. Additional Information If you are comfortable with the above job description & the Qualifications... Share you updated resume with your basic contact information... So that we can discuss about the position more... Thanks & Regards, Venkat TEkWISSEN LLC *************************** ************

Job DescriptionDescription: Do you want to be at the forefront of AI drug discovery and advance the next generation of lifesaving medicine? Now's your opportunity! BullFrog AI, a technology-enabled drug discovery company, uses AI to aid in advancing the next generation of lifesaving medicine. We are at the intersection of computational biology and Artificial Intelligence, and we're seeking an exceptional Senior Data Scientist with a strong background in biomedical analytics to join our growing team. The selected candidate will have the opportunity to work on cutting-edge projects that integrate AI-driven analytics with groundbreaking biomedical research. Position Overview: We are looking for an exceptional Principal Data Scientist with a strong background in biomedical analytics to join our growing team. The selected candidate will have the opportunity to work on cutting-edge projects that integrate AI-driven analytics with groundbreaking biomedical research. In this role, the senior data scientist will support individual projects from an execution and leadership perspective. The day-to-day work will be client-dependent with flavors of target discovery, patient subtyping, and exploring multimodal and/or mixed data to gain insights. Additionally, they will build and provide technical contributions to the company's in-house platform. Location: Remote within the United States. The senior data scientist will also: Design, implement, and optimize AI models using diverse healthcare data. Engage in multi-modal genomic analyses such as RNA-Seq differential expression, clustering, and GWAS. Implement NLP solutions tailored to life sciences datasets. Collaborate effectively with remote teams to ensure seamless communication and delivery. Educate and present complex data science findings to non-technical stakeholders, ensuring clarity and actionable insights. Requirements: Education: Bachelor's degree from a top-ranking university in the United States or the United Kingdom. An advanced degree (MS or PhD) in a quantitative field such as biology, computer science, or engineering, from a top-ranking university in the United States or the United Kingdom. Professional Experience: A minimum of 5-8 years of post-graduate experience in life sciences analytics, e.g., in Pharma, Biotech, or Consulting. Experience with major healthcare data types, including -omics (required), claims data, and clinical data (e.g., EHR). At least 1 year of experience working with large language models. A maximum of 8-10 years of post-PhD experience. Demonstrated coding proficiency in Python. Proven track record of collaborating with remote teams. Proficient and fluent in the English language. Other: Must be legally authorized to work in the United States and be a United States citizen. Desired Skills: Prior experience in multi-modal analysis with deep learning. Causal inference experience is a significant plus. NLP/LLM expertise applied to life sciences and healthcare text. Strong foundation in data engineering and databases. Experience with graphs, including feature engineering, machine learning, and visualizations. Cloud platform experience, particularly AWS or Google Cloud. Demonstrated ability to deliver complex data science outputs to senior leadership. Benefits: 15 days of paid time off annually 11 paid holidays annually Medical, Dental, and vision coverage with eligibility on the first day of employment Short-Term Disability 401 (k) with enrollment upon day one Eligibility for bonus and stock options based on a combination of individual and company performance.

Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: * Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. * Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. * Write code to ensure the performance and reliability of data extraction and processing. * Support continuous process automation for data ingest. * Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. * Work with program management and engineers to implement and document complex and evolving requirements. * Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. * Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: * Must be a US Citizen. * Must be able to obtain a Public Trust Clearance. * 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. * Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. * Proficiency in developing ETL processes, and performing test and validation steps. * Proficiency to manipulate data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and storage tools and technologies. * Strong understanding of the agile principles and ability to apply them. * Strong understanding of the CI/CD pipelines and ability to apply them. * Experience with relational database, such as, PostgreSQL. * Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: * Experience creating and consuming APIs. * Experience with DHS and knowledge of DHS standards a plus. * Candidates will be given special consideration for extensive experience with Python. * Ability to develop visualizations utilizing Tableau or PowerBI. * Experience in developing Shell scripts on Linux. * Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. * Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: * Health, Dental, and Vision * Life Insurance * 401k * Flexible Spending Account (Health, Dependent Care, and Commuter) * Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Email: [email protected] #CJ $112,597.33 - $152,810.66 a year We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Scientist Dulles, VA TS/SCI with CI poly At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Insight Solutions division delivers intelligence analysis, advanced data science, and strategic decision support. Are you ready to lean into analytic approaches that show customers the power of both technical and methodological innovation? Join our growing team supporting customer missions as a Data Scientist in Dulles, VA. Responsibilities This work requires data science support to a series of short-term efforts applying machine learning to novel challenges. Successful applicants should be familiar with working with Python including relevant machine learning libraries. Because of the short-term nature of projects and small team sizes, all team members should be effective communicators in understanding requirements, intended outcomes, and relaying status to customers. Qualifications Required Qualifications: Active TS/SCI clearance with CI poly required to start 6+ years experience with Python. Proven experience with completing full cycle data science projects Desired Qualifications: Experience supporting short term innovation projects Experience working with machine learning models What you can expect from us BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

ATPCO is the foundation of flight shopping, providing pricing and retailing data, tools, and services to 500+ airlines, global distribution systems, sales channels, and technology companies. ATPCO links the entire airline community together, collaborating to develop industry standards for airline distribution and end-to-end technology solutions. From shopping to settlement, ATPCO solutions work seamlessly across existing, new, and evolving technologies and methods. Airline-owned and reliably supporting air travel for more than 55 years, ATPCO is everywhere people buy flights. We consider qualified applicants for employment without regard to race, gender, age, color, religion, national origin, citizenship status, marital status, disability, sexual orientation, protected military/veteran status, gender identity or expression, genetic information, marital status, medical condition, or any other legally protected factor. Job Description As a Principal Data Engineer, you will be responsible for building and optimizing data pipelines, managing data storage and processing systems, and ensuring the availability, scalability, and reliability of our data platform. You will collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders to understand data requirements and deliver efficient high-quality data solutions. We are seeking an accomplished individual to join our esteemed team of ATPCO data engineers, dedicated to tackling intricate data processing challenges within the Airline industry. This role offers an opportunity to work on cutting-edge solutions that involve handling hundreds of terabytes of data daily, leveraging the latest AWS services. You Will: * Partner with data scientists, analysts, and cross-functional stakeholders to translate business and ML/AI use cases into scalable data architectures, including designing modern schemas, data models, and pipelines that enable advanced analytics, machine learning, and real-time reporting. * Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into usable formats * Build and optimize data storage and processing systems, including data warehouses, data lakes, and big data platforms, using AWS services such as Amazon Redshift, AWS Glue, AWS EMR, AWS S3, and AWS Lambda, to enable efficient data retrieval and analysis * Implement and manage real-time data streaming architectures using AWS services like Amazon Kinesis or Apache Kafka to enable real-time data processing and analytics * Ensure that solutions facilitate secure, efficient, and real-time data analysis and reporting, leveraging infrastructure-as-code and adopting best practices for automation, monitoring, cost optimization, and compliance across cloud environments. * Perform data profiling, data cleansing, and data transformation tasks to prepare data for analysis and reporting * Implement data security and privacy measures to protect sensitive and confidential data using AWS security services and features * Design and implement data architectures following Data Mesh principles within the AWS environment, including domain-oriented data ownership, self-serve data infrastructure, and federated data governance * Provide technical guidance and mentorship to junior data engineers, reviewing their work and ensuring adherence to best practices and standards Qualifications: * Strong programming skills in languages like Python, Java, or Scala, with experience in data manipulation and transformation frameworks * Proven experience as a data engineer, with experience in designing and building large-scale data processing systems * Strong understanding of data modeling concepts and data management principles * In-depth knowledge of SQL and experience working with relational and non-relational databases * Knowledge of Data Mesh principles and experience designing and implementing data architectures following Data Mesh concepts within the AWS ecosystem * Experience with real-time data streaming architectures using AWS services like Amazon Kinesis or Apache Kafka * Familiarity with AWS cloud services, such as AWS Sagemaker Unified Studio, AWS Glue, AWS Lambda, AWS EMR, AWS S3, Amazon Redshift, and their data-related features and functionalities * Familiarity with AWS security services and features for data security and privacy * [Bonus] Experience designing, implementing, and managing scalable machine learning pipelines and MLOps frameworks for production AI/ML solutions in cloud environments (e.g., AWS, Azure, GCP), including model deployment, monitoring, and operational automation. * Bachelor's or Master's degree in Computer Science, Information Systems, or a related field Salary Range: $145,290 - 185,000 * The disclosed range estimate has not been adjusted for applicable geographic differential associated with the location* Qualifications Additional Information At ATPCO, we are deeply committed to diversity, equity, and inclusion. Our supportive policies promote work-life balance through flexible work arrangements, and we cultivate a workplace where every employee feels valued, respected, and a true sense of belonging. We consider qualified applicants for employment without regard to race, gender, age, color, religion, national origin, citizenship status, marital status, disability, sexual orientation, protected military/veteran status, gender identity or expression, genetic information, marital status, medical condition, or any other legally protected factor All your information will be kept confidential according to EEO guidelines.

**MANTECH** seeks a motivated, career- and customer-oriented **Data Scientist** to join our innovative team in **Ashburn, VA** . This is a hybrid position with 2 days onsite and 3 days remote. Each day U.S. Customs and Border Protection (CBP) oversees the massive flow of people, capital, and products that enter and depart the United States via air, land, sea, and cyberspace. The volume and complexity of both physical and virtual border crossings require the application of "big data" solutions to promote efficient trade and travel. Further, effective solutions help CBP ensure the movement of people, capital, and products are legal, safe, and secure. **Responsibilities include but are not limited to:** + Perform hands-on analysis and modeling involving the creation of intervention hypotheses and experiments, assessment of data needs and available sources, determination of optimal analytical approaches, performance of exploratory data analysis, and feature generation (e.g., identification, derivation, aggregation). + Demonstrate proficiency in extracting, cleaning, and transforming CBP transactional and mission data associated within an identified problem space to build predictive models as well as develop appropriate supporting documentation. + Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions. + Execute projects including those intended to identify patterns and/or anomalies in large datasets; perform automated text/data classification and categorization as well as entity recognition, resolution and extraction; and named entity matching. **Minimum Qualifications:** + HS Diploma/GED and 6 or more years of experience or AS/AA and 4 or more years or BS/BA and 2 or more years or MS/MA/MBA or PhD/Doctorate + Experience in developing machine learning models and applying advanced analytics solutions to solve complex business problems + Experience with programming languages including: R, Python, Scala, Java. + Experience with SQL programming + Experience constructing and executing queries to extract data in support of EDA and model development + Experience with unsupervised and supervised machine learning techniques and methods + Experience performing data mining, analysis, and training set construction **Preferred Qualifications:** + Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent + Proficiency with Unsupervised Machine Learning methods including Cluster Analysis (e.g., K-means, K-nearest Neighbor, Hierarchical, Deep Belief Networks, Principal Component Analysis), Segmentation, etc. + Proficiency with Supervised Machine Learning methods including Decision Trees, Support Vector Machines, Logistic Regression, Random/Rotation Forests, Categorization/Classification, Neural Nets, Bayesian Networks, etc. + Experience with pattern recognition and extraction, automated classification, and categorization and with entity resolution (e.g., record linking, named-entity matching, deduplication/ disambiguation) + Experience with visualization tools and techniques (e.g., Periscope, Business Objects, D3, ggplot, Tableau, SAS Visual Analytics, PowerBI). Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop) **Clearance Requirements:** + Must be a U.S. citizen with the ability to obtain DHS Customs and Border Protection (CBP) suitability. **Physical Requirements:** + The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, which may involve delivering presentations. MANTECH International Corporation considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at ******************* and provide your name and contact information.

Job DescriptionDescription: The Data Engineer is responsible for architecting, developing, and managing data solutions across the Microsoft Power Platform and Dynamics 365 Finance & Operations (F&O) ecosystem. This role focuses on building scalable, secure, and reliable data pipelines and integration frameworks that enable seamless data movement, transformation, and analytics across Power Platform, Azure, and enterprise systems. The Data Engineer works closely with functional, development, and analytics teams to ensure D365 and Power Platform environments are optimized for data integrity, performance, and business intelligence. Requirements: Data Architecture & Integration Design Design and implement data integration architectures connecting D365 Finance, Power Platform (Dataverse, Power Apps, Power Automate), and external enterprise systems. Develop robust data pipelines using Azure Data Factory, Logic Apps, or Power Automate for batch and real-time data movement. Build and maintain Dataverse data models, including tables, relationships, and security roles. Data Transformation & Management Engineer and optimize ETL/ELT workflows to transform, cleanse, and load financial and operational data from multiple sources. Leverage Dataflows and Power Query (M language) for in-platform data shaping and enrichment. Configure and manage D365 Data Management Framework (DMF) entities for master data, transaction data, and recurring imports/exports. Performance, Security, and Governance Implement data governance policies including ownership, lineage, versioning, and audit trails. Apply row-level security (RLS) and Azure Active Directory (AAD) role mapping for controlled access. Monitor data refresh performance, error handling, and automation health across environments. Analytics Enablement & Collaboration Partner with Power BI developers to expose optimized datasets for analytics and executive dashboards. Integrate D365 and Power Platform data into Azure Synapse, Data Lake, or Fabric for advanced reporting. Document integration flows, schema mappings, and reusable data assets for ongoing operations. Automation & Continuous Improvement Use Power Automate and Logic Apps to orchestrate recurring data operations and workflow triggers. Collaborate with D365 developers to align extensions and APIs with data design standards. Continuously refine data models and processes to improve efficiency, maintainability, and reliability. Qualifications: 5+ years of experience in data engineering, integration, or analytics architecture within Microsoft's business applications ecosystem. Deep technical expertise with Microsoft Power Platform (Dataverse, Power Apps, Power Automate) and Dynamics 365 Applications, particularly Finance and Sales Enterprise Proficiency in Azure Data Factory, Logic Apps, Power Query (M), and SQL. Experience working with D365 Data Entities, OData endpoints, and REST/JSON APIs. Strong understanding of data modeling, normalization, and data warehousing principles. Familiarity with Azure Synapse, Data Lake, or Microsoft Fabric for enterprise reporting enablement. Knowledge of CI/CD pipelines, Git repositories, and environment promotion using Azure DevOps. Excellent communication skills, with the ability to collaborate effectively across functional and technical teams.

fusion Span is a fast-growing company with development centers in the USA, Canada, El-Salvador, Poland, and India. fusion Span's focus is on software development, enterprise CRM implementations, digital strategy, and enterprise middleware. A data engineer at fusion Span will be part of the cross-functional Data & Integrations team at fusion Span. This team handles all data analysis and ETL issues across multiple projects.The ideal candidate needs to be able to work autonomously and adapt to an evolving work structure. If you love working with data, then this is the perfect position for you. Responsibilities Utilize extract/transform/load ETL technologies using snowflake and other cloud data platforms Interpret data, analyze results using statistical techniques and provide ongoing reports, Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality, Acquire data from primary or secondary data sources and maintain databases/data systems, Evaluate and optimize data structures, Identify, analyze, and interpret trends or patterns in complex data sets, Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems, Monitor, troubleshoot, and improve pipeline transparency, performance, scalability, and reliability, using Snowflake OpenFlow and related ELT/ETL tools Ensure AI/ML readiness of data by preparing and maintaining semantic models, ensuring robust data quality, and establishing and enforcing data access Produce field mapping and translation documentation for use in both manual and scripted migrations, Work within Agile methodology managing tasks and tickets as assigned, Communicate with clients and team members for requirements gathering, clarification, and planning for data conversions, Document work and work processes for use by team members. Qualifications: 3+ years of experience with an ETL tool is required such as Talend, Fivetran, Matillion, Airbyte, 4+ Experience using SQL and RDBMS is required 2+ Experience with AWS/Azure cloud databases/data lakes 1+ years of active and frequent coding experience in Python required. Experience with ERP solutions such as SAP and CRM solutions such as Salesforce preferred Mastery of Excel About fusion Span fusion Span is a fast-paced, high-energy global firm with a highly motivated team. This role will experience high work demands under tight timelines requiring a flexible and adaptable approach to daily priorities. We are open to qualified candidates worldwide even though our job opportunities are posted for a specific region. Check out our Great Place to Work Certified Badge here. Our Company Values: Trust: We believe trust is the foundation of success, and build it through unwavering integrity, transparency, and open communication. We deliver on promises, address challenges directly, and hold ourselves accountable to excellence in all interactions with clients, partners, and teammates. Innovation: We understand that excellence and innovation go hand-in-hand and are committed to developing forward-looking, creative solutions that meet our clients' evolving needs and move the industry forward. We embrace change, celebrate creativity, and prioritize quality to create a new standard of performance. Community: We are a community-first organization committed to creating a culture of collaboration, inclusivity, and respect where each voice is heard and all contributions are valued. We prioritize responsible and sustainable practices on our path to positively impact those we serve.

Job DescriptionWe believe that by equipping researchers with rapid insights and providers with tailored, on-demand data, we can help people lead better, healthier lives. At Digital Infuzion, we harness innovative healthcare solutions and cutting-edge bioinformatics to make meaningful impacts in patient care. Our team thrives in a creative, open, and growth-oriented environment, guided by our core values: Outcomes First: Focusing on what matters most and making timely, informed decisions. Innovative: Embracing creativity and continuous improvement to drive novel solutions. Radical Candor: Communicating openly and honestly, balancing direct feedback with genuine care. Never Satisfied: Pursuing excellence and continuous growth beyond the status quo. Resilient: Adapting and persevering through challenges, turning obstacles into opportunities. If you're passionate about leveraging technology to improve healthcare and want to work in an environment that values innovation and collaboration, we may have just the opportunity for you. Position Overview We are looking for an experienced data engineer to join our team of top-notch technologists. You will use various methods to transform raw data into useful data that will accelerate scientific research and discovery. To succeed in this data engineering position, you should have strong analytical skills and the ability to work with data from different sources. Data engineer skills also include familiarity with several programming languages including SQL and Python and knowledge of working in the Cloud with various cloud-based technologies. Skills & Experience: Experience with SQL and Python (PySpark) skills Demonstrable experience in data engineering involving implementation of end-to-end data pipelines Experience with R-Studio Good communication and willingness to work as a team Detail-oriented with excellent organizational skills Hands-on experience with at least one of the leading public cloud data platforms (Amazon Web Services, Azure) Experience in implementing data pipelines for streaming and/or batch integrations using tools/frameworks like Glue ETL, Lambda, Apache Airflow, AWS Step Functions, etc. Experience working with code repositories and continuous integration Set Yourself Apart With: Working experience with writing and optimizing PL/SQL Experience in data modeling, warehouse design and fact/dimension implementations AWS Developer certifications or AWS experience Experience using OpenSearch Implementation experience with column-oriented data technologies (e.g., Redshift, Parquet), NoSQL database technologies (e.g., DynamoDB, MongoDB) Understanding of development and project methodologies Digital Infuzion does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor per Federal laws. We can provide reasonable accommodation to applicants with disabilities. If you need a reasonable accommodation for any part of the application and hiring process, please contact Human Resources at **********************. The decision on granting reasonable accommodation will be made on a case-by-case basis. Powered by JazzHR QrRyU7M10I