Data engineer jobs in District of Columbia

Azure Data Modeler - Budget Transformation Project Our client is embarking on a major budget transformation initiative and is seeking an experienced Azure Data Modeler to support data architecture, modeling, and migration activities. This role will play a critical part in designing and optimizing data structures as the organization transitions to SAP. Experience with SAP is preferred, but strong ERP data experience in any platform is also valuable. Responsibilities Design, develop, and optimize data models within the Microsoft Azure environment. Support data architecture needs across the budget transformation program. Partner with cross-functional stakeholders to enable the transition to SAP (or other ERP systems). Participate in data migration planning, execution, and validation efforts. Work collaboratively within SAFe Agile teams and support sprint activities. Provide off-hours support as needed for critical tasks and migration windows. Engage onsite in Washington, DC up to three days per week. Required Qualifications Strong hands-on expertise in data architecture and data model design. Proven experience working with Microsoft Azure (core requirement). Ability to work flexibly, including occasional off-hours support. Ability to be onsite in Washington, DC as needed (up to 3 days/week). Preferred Qualifications Experience with SAP ECC or exposure to SAP implementations. Experience with other major ERP systems (Oracle, Workday, etc.). SAFe Agile certification. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Job Title: Developer Premium I Duration: 7 Months with long term extension Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon Job Requirement: Strong expertise in Data Architecture & Date model design. MS Azure (core experiment) Experience with SAP ECC preferred SAFE agile certification is a plus Ability to work flexibility including off hours to support critical IT task & migration activities. Educational Qualifications and Experience: Bachelor's degree in Computer Science, Information Systems or in a related area of expertise. Required number of years of proven experience in the specific technology/toolset as per Experience Matrix below for each Level. Essential Job Functions: Take functional specs and produce high quality technical specs Take technical specs and produce completed and well tested programs which meet user satisfaction and acceptance, and precisely reflect the requirements - business logic, performance, and usability requirements Conduct/attend requirements definition meetings with end-users and document system/business requirements Conduct Peer Review on Code and Test Cases, prepared by other team members, to assess quality and compliance with coding standards As required for the role, perform end-user demos of proposed solution and finished product, provide end user training and provide support for user acceptance testing As required for the role, troubleshoot production support issues and find appropriate solutions within defined SLA to ensure minimal disruption to business operations Ensure that Bank policies, procedures, and standards are factored into project design and development As required for the role, install new release, and participate in upgrade activities As required for the role, perform integration between systems that are on prem and also on the cloud and third-party vendors As required for the role, collaborate with different teams within the organization for infrastructure, integration, database administration support Adhere to project schedules and report progress regularly Prepare weekly status reports and participate in status meetings and highlight issues and constraints that would impact timely delivery of work program items Find the appropriate tools to implement the project Maintain knowledge of current industry standards and practices As needed, interact and collaborate with Enterprise Architects (EA), Office of Information Security (OIS) to obtain approvals and accreditations “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Description: As a DevOps Engineer, you will play a critical role in bridging the gap between development and operations by automating and streamlining the build, test, and deployment processes. You will support automation of multiple processes. You will work closely with software developers, system operators, and other IT staff members to manage code releases and ensure the smooth operation of production environments. Your expertise will be essential in driving the adoption of best practices for continuous integration and continuous deployment (CI/CD) and in maintaining a robust and scalable infrastructure. Responsibilities • Develop, implement, and manage CI/CD pipelines to automate the build, test, and deployment processes. • Collaborate with development and operations teams to streamline code integration and delivery. • Manage and monitor production environments, ensuring high availability and performance. • Automate infrastructure provisioning and configuration management using tools such as Ansible. • Implement and maintain monitoring, logging, and alerting solutions to ensure system reliability and performance. • Identify and resolve infrastructure and deployment issues, ensuring minimal disruption to services. • Ensure security best practices are followed in the deployment and operation of applications and infrastructure. • Work with cross-functional teams to develop and implement scalable and resilient system architectures. • Continuously evaluate and improve processes, tools, and technologies to enhance the efficiency and effectiveness of the DevOps workflow. Skills • Strong understanding of CI/CD principles and hands-on experience with tools such as GitLab, Terraform, Helm, DB Config management (Liquibase / Flyaway), Jenkins, GitLab CI, CircleCI, Travis CI • Proficiency in scripting and automation languages such as Python, Bash, or PowerShell. • Experience with infrastructure as code (IaC) tools like Ansible. • Solid understanding of cloud platforms, especially AWS. • Familiarity with containerization and orchestration tools such as Docker, Kubernetes and OpenShift. • Experience with monitoring and logging tools like Prometheus, Grafana, ELK stack, or Splunk. • Strong problem-solving skills and the ability to troubleshoot complex system issues. Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation and Benefits Salary Range: $60.00 - $75.00 (Compensation is determined by various factors, including but not limited to location, work experience, skills, education, certifications, seniority, and business needs. This range may be modified in the future.) Benefits: Gridiron offers a comprehensive benefits package including medical, dental, vision insurance, HSA, FSA, 401(k), disability & ADD insurance, life and pet insurance to eligible employees. Full-time and part-time employees working at least 30 hours per week on a regular basis are eligible to participate in Gridiron's benefits programs. Gridiron IT Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status or disability status. Gridiron IT is a Women Owned Small Business (WOSB) headquartered in the Washington, D.C. area that supports our clients' missions throughout the United States. Gridiron IT specializes in providing comprehensive IT services tailored to meet the needs of federal agencies. Our capabilities include IT Infrastructure & Cloud Services, Cyber Security, Software Integration & Development, Data Solution & AI, and Enterprise Applications. These capabilities are backed by Gridiron IT's experienced workforce and our commitment to ensuring we meet and exceed our clients' expectations.

BlueWater Federal is looking for a SharePoint Engineer to support the Department of Energy in Washington, DC. As the SharePoint Engineer, you will be responsible for designing, implementing, and maintaining SharePoint environments and solutions. This includes configuring sites, libraries, workflows, and web parts, ensuring system security, and supporting business processes through automation and integration. Responsibilities • Install, configure, and maintain SharePoint servers (on-premises and/or SharePoint Online). • Monitor system performance, troubleshoot issues, and apply patches or updates. • Manage permissions, security settings, and compliance requirements. • Design and deploy SharePoint solutions, including custom workflows, forms, and web parts. • Migrate data and content from legacy systems to SharePoint using scripts or third-party tools. • Customize SharePoint sites to meet organizational needs. • Collaborate with IT teams and IA. • Provide technical support to end-users and site owners and create documentation • Ensure adherence to security standards and organizational policies. • Maintain knowledge of SharePoint best practices and emerging technologies. Qualifications • Bachelor's degree • 10+ years of experience with SharePoint administration with a deep understanding of SharePoint Architecture, features and best practices. • Must have an active Top Secret clearance with the ability to obtain a Q and SCI clearance • Proficiency in PowerShell scripting for automation. • Experience with migrating SharePoint versions on-premises or online (preferably using ShareGate) • SharePoint components (Search, Taxonomy, Managed Metadata). • Patching SharePoint server to meet organization security standards. • Experience with HTML, CSS, JavaScript, REST API, and SQL is preferred BlueWater Federal Solutions is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law. BlueWater Federal Solutions is a VEVRAA federal contractor and we request priority referral of veterans.

Senior Cloud Systems Engineer Note: Period of performance may extend beyond 12/31/2026. The Senior Cloud Systems Engineer will serve as a key member of a team responsible for designing, building, and maintaining a cloud business platform within the Federal Reserve Board. The ideal candidate is an experienced cloud professional with deep expertise in AWS GovCloud and a strong background in modern software development, DevOps, and cloud architecture. This role requires at least ten (10) years of technology experience-five (5) of which must be focused specifically on cloud technologies-and at least five (5) years supporting cloud platforms directly. The candidate must meet the qualifications outlined in the Technical Services BOA, Section 3.5.6.2 for the labor category Senior Cloud Systems Engineer, and demonstrate substantial hands-on experience with cloud engineering, automation, and secure system design. Required Knowledge and Experience The candidate shall possess the following expertise: Software Development & SDLC Experience developing software within structured SDLCs including DevOps, Agile, Lean, or Iterative methodologies. Proficiency in at least one high-level programming language such as Python, PowerShell, or Infrastructure-as-Code frameworks (CloudFormation, AWS CDK, Terraform). Preferred: Python 3.x data engineering (pandas, Databricks, SPARK). Cloud Architecture & Engineering Experience designing, deploying, and migrating secure, scalable systems across IaaS, PaaS, and SaaS environments. Strong understanding of cloud-based architectures, including web servers, caching, application servers, load balancers, and storage. Preferred: AWS Load Balancer experience. Familiarity with loose coupling, stateless systems, and cloud-ready application design best practices. Experience transitioning legacy systems to cloud-ready architectures. DevOps & Automation Hands-on experience with DevOps pipelines, CI/CD automation, containers, and cloud deployment best practices. Preferred: GitLab or Azure DevOps. Experience with containerization technologies (Docker, Kubernetes, AWS EKS, ECS, or Fargate). Identity, Security & Compliance Understanding of cloud federation and authentication technologies such as SAML, Okta, OAuth, and OpenID Connect, and their application to enterprise/public-facing systems. Awareness of cloud information-security risks and best practices within high-security environments. Preferred: Experience with government cloud deployments (FedRAMP, FISMA, high-security architectures). AWS Expertise Experience with AWS and AWS GovCloud service offerings. Highly desirable: Direct configuration and management of AWS components including: CloudTrail, CloudWatch, S3 RDS or Aurora, PostgreSQL Lambda, Glue, MWAA (Airflow) API Gateway Cost Optimization & Governance Understanding of cloud provider cost structures and ability to design cost-effective solutions. APIs & Data Services Knowledge of RESTful services, XML, or JSON. Preferred: Experience with AWS API Gateway. Experience in cloud analytics/data-processing/ML architectures (e.g., data lakes, lake formations). Familiarity with Data Quality testing tools such as Great Expectations or Glue Data Quality. Observability & Architecture Frameworks Experience integrating cloud systems with enterprise observability platforms (e.g., Splunk). Familiarity with the AWS Well-Architected Framework. Experience defining platform-level requirements. Education (Preferred) Bachelor's degree in Computer Science, Information Technology, or related field. Duties and Responsibilities The Contractor shall provide, including but not limited to, the following services: Design and Develop Cloud Applications Create secure, maintainable, and scalable custom cloud-based applications. Set Up and Configure DevSecOps Environments Build and maintain DevSecOps pipelines for cloud environments, integrating automation, security, and continuous delivery best practices. Build and Support Cloud Infrastructure Collaborate with the cloud platform team and development teams to architect, manage, and enable cloud infrastructure and platforms supporting business application development

About us: Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II. Join us in driving growth and seizing new business opportunities! Position Summary We are seeking cloud professionals proficient in administering the AWS GovCloud cloud service platform. Become part of a team responsible for building a cloud business platform within the Federal Reserve Board. Responsibilities: Design and create custom-built cloud applications Set up and configure DevSecOps for cloud environments Partner with the cloud platform team and development team to build, manage, and enable the underlying cloud infrastructure and platforms in support of a business application development project. Required Skills: At least five years of demonstrated experience supporting cloud platforms. As a Senior Cloud Systems Engineer, we require 10 years of experience in the field of technology, including application development, 5 of which focused on supporting cloud technologies. Developing software according to software development lifecycles (SDLCs), including DevOps, Agile, Lean, or Iterative. Designing, deploying, and migrating secure and maintainable systems for Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) environments. Proficient in at least one high-level programming language such as Python, PowerShell, or Infrastructure as Code (AWS CloudFormation, AWS CDK, Terraform, etc.). Python 3.x data engineering with pandas, Databricks, or SPARK preferred. DevOps, CI/CD pipelines and automation, containers, and related best practices for cloud deployment. Experience with GitLab or Azure DevOps preferred. Service offerings in Amazon Web Services (AWS) and government platform experience preferred. Understanding of cloud-based architectures, web servers, caching, application servers, load balancers, and storage. Experience with AWS Load Balancer. Familiarity with loose coupling, stateless systems, and best practices for designing cloud-ready applications. Understanding of cloud federation technologies such as SAML, Okta, OAuth, and OpenID Connect and how to apply these technologies to enterprise and public-facing applications. Understanding of cloud vendor cost structures and the ability to optimize solutions for cost effectiveness. Experience transitioning legacy systems to cloud-ready architecture. Understanding of RESTful Web Services, XML, or JSON. Experience with AWS API Gateway. Awareness of cloud information security risks and best practices, especially in a highly secure operating environment. Familiarity with government cloud deployments (FedRAMP, FISMA, high security environments, etc.) Highly Desirable Skills (not mandatory): Bachelor's degree in computer science, information technology, or related field. Experience with direct configuration and management of AWS components, including CloudTrail, CloudWatch, S3, RDS or Aurora, PostgresSQL, Lambda, Glue or MWAA (Airflow) Experience with designing or implementing cloud architectures for analytics/data processing/machine learning use-cases, such as data lakes, lake formations, etc. Experience with containerization as a strategy for cloud-enabling legacy applications such as Docker and Kubernetes (AWS EKS, ECS, or Fargate preferred) Familiarity with the Well Architected Framework. Experience with defining platform requirements. Experience integrating with enterprise observability platforms such as Splunk. Experience with Data Quality testing tooling (e.g., Great Expectations, Glue Data Quality) How to Apply: To apply for the Data Architect role, please submit your resume to *******************. Applications will be reviewed on a rolling basis until the position is filled. We look forward to reviewing your application.

We are seeking a Senior Cloud Application Developer to join a high-performing team on a 10+ month contract. Candidates must be authorized to work in the United States. The ideal candidate is highly skilled in Python, AWS services, Kubernetes, and Airflow, with a strong background in building and deploying cloud-native applications. ***PLEASE NOTE: WE ARE NOT ACCEPTING APPLICATIONS FROM THIRD-PARTY AGENCIES FOR THIS ROLE. Key Responsibilities: Optimize a scalable, reliable, and secure AWS native cloud system Refine infrastructure configuration as IaC using Terraform Help produce and capture operational metrics from logs, API's, and various cloud sources Refine CI/CD/CT pipelines to build, deploy, and test native cloud application code Experience, Skills & Qualifications: Education: Bachelor's degree in Computer Science, Engineering, Software Engineering or a relevant field with a minimum of 8 years working experience in an AWS Cloud environment required for a senior level position. Expertise in cloud-native application development, and cloud infrastructure management. Expertise in containerization and Kubernetes In-depth knowledge of AWS services (EKS, EC2, Lambda, RDS, S3) Strong experience of workflow managers (Airflow) Strong experience with AWS and proficiency in Python, BASH, and IaC tools like Terraform Strong experience with relational and cloud-based databases Strong experience in building automation tools and CI/CD/CT pipelines using platforms like Ansible, GitHub Actions, GitLab CI, and CodePipeline

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD , WD_BLACK, and SanDisk Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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Benefits: Company parties Competitive salary Opportunity for advancement Training & development Title - Data Scientist Client - World Bank Job Description (Posting). : About HCLTech HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving. Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040. To learn more about how we can supercharge progress for you, visit *************** Data Scientist Job Summary The Data Scientist plays a critical role in the organization by creating systems and processes to gather and analyze unstructured 'big data'. This role focuses on generating valuable insights and developing visualization tools that enhance client service delivery and improve product offerings. The Data Scientist collaborates with various stakeholders to leverage data for strategic business solutions. (1.) Key Responsibilities 1. Develop Machine Learning Algorithms Using Python And Tensorflow To Merge, Manage, And Extract Data, Delivering Tailored Reports To Stakeholders. 2. Apply Statistical Techniques And Machine Learning Frameworks Such As Pytorch To Design Custom Data Models And Algorithms, Enhancing Data Processing Capabilities. 3. Utilize Sql To Query Large Datasets, Identifying Meaningful Insights And Interpreting Findings Through Data Mining And Exploratory Data Analysis. 4. Collaborate With Business Stakeholders To Identify And Prioritize Opportunities For Data-Driven Solutions That Support Organizational Goals. 5. Generate Comprehensive Reports And Visualizations That Translate Complex Data Analysis Into Actionable Insights For Stakeholders, Informing Business Decisions.Skill Requirements 1. Strong Understanding Of Machine Learning Concepts And Frameworks, Including Tensorflow And Pytorch. 2. Proficient In Python Programming For Data Manipulation And Algorithm Development. 3. In-Depth Knowledge Of Sql For Effective Data Querying And Management. 4. Familiarity With Statistical Methods And Data Mining Techniques For Analyzing Large Datasets. 5. Excellent Communication Skills To Convey Technical Findings To Non-Technical Stakeholders.Certification 1. Optional Certifications: Certified Data Scientist, Tensorflow Developer Certificate, Or Relevant Machine Learning Certifications Are Valuable. Compensation: $55.00 - $65.00 per hour H & R provides a broad range of technical services that emphasize high level architectural evaluation, design, and planning, information engineering and re-engineering, systems integration for multiple platforms and data sources, and management consulting services focused on better information for business decision making.

Title: Data Analytic SME-Zero Trust Clearance: Top Secret with SCI Eligibility Foxhole Technology provides robust cybersecurity and IT support capabilities for federal civilian and defense agencies. A recognized leader in navigating technology and security challenges, Foxhole delivers mission-focused innovations to answer evolving and complex needs. Our talented employee-owners provide agile, scalable services and solutions that solve operational gaps, operate critical systems, and protect and secure the enterprise - across the organization and around the world. We are seeking a talented Data Analytics SME who has hands-on experience focusing on Zero Trust Technology within federal government environments. Job Description Extensive expertise in designing and implementing Zero Trust architectures, access controls, identity management, encryption, and network segmentation in large-scale government systems. Develop and maintain comprehensive reference architectures outlining Zero Trust principles, components, and interactions within federal government systems. Design robust network architectures integrating Zero Trust principles, including secure zones, micro-segmentation, and software-defined perimeters to enforce granular access controls. Architect centralized and resilient identity and access management systems, leveraging federated identity, strong authentication, and adaptive access controls across government networks. Design end-to-end data protection solutions encompassing encryption, tokenization, data masking, and data loss prevention (DLP) strategies tailored to government data sensitivity and compliance requirements. Develop secure cloud architectures aligned with Zero Trust principles, emphasizing secure access, data protection, and continuous monitoring within government cloud deployments. Architect endpoint security solutions integrating device identity verification, zero-trust device posture assessments, and secure configurations across a diverse range of government endpoints. Design and implement PEPs for enforcing access controls, authentication, and authorization policies at critical junctures within government systems. Architect scalable and resilient security analytics infrastructures incorporating SIEM solutions, machine learning algorithms, and threat intelligence platforms to enable proactive threat detection and response. Experience in establishing programmatic capability and effectiveness measurements and metrics. Utilize metric and scorecard techniques to develop tools and procedures for the program to measure and report performance. Support planning, development, and establishment of a tailored ZT communications tools and processes. Develop a roadmap to meet the program's goals and objectives by establishing or expanding on current baseline analysis data to refine and update designs, operating concepts, and requirements to achieve full operating capability; and provide ongoing tool refinement. Develop ZT acquisition planning and execution tools to include market research tools for actions such as Request for Information. Minimum Requirements Minimum of 15+ years of hands-on experience as a Data Analytics SME, focusing on Zero Trust technology, particularly within federal government environments. Education: PhD in Computer Science, Engineering, Software Development, Information Technology, Cyber Security, or related field or Technical Masters degree with 15+ years of demonstrated experience. In-depth knowledge of federal cybersecurity regulations, policies, and frameworks, with a strong understanding of NIST, FISMA, and other applicable standards. Proficiency in network security, cloud security, encryption methodologies, and emerging technologies relevant to Zero Trust implementations. Strong leadership skills, with the ability to collaborate effectively with multidisciplinary teams, influence stakeholders, and drive consensus on architectural decisions. Desired Experience/Certifications Relevant certifications in cybersecurity (e.g., CISSP, CISM) and architecture (e.g., TOGAF, CISSP-ISSAP) are highly desirable. More Information At Foxhole Technology, we are committed to pay transparency as required by law, for our applicants and employee-owners. The salary range for this position is 200-230K. Actual compensation will be determined based on a number of factors as permitted by law. Requirements of position: Think analytically, effective verbal and written communication skills, make decisions, observe/remember details, interpret data, concentrate on tasks, adjust to change, handle stress/emotions. Regular attendance, maintain work schedule, attend meetings, meet deadlines, keyboard/type, handle confidential information, use math/calculations, stay organized, operate office equipment, may direct others. Must be able to see, have eye/hand coordination, and lift up to 10 lbs. May be exposed to dust/dirt, humidity, and noise. Foxhole Technology is an Equal Opportunity Employer and makes hiring decisions without regard to race, color, religion, sex (including pregnancy, childbirth and sexual orientation), national origin, age, disability, genetic information, military/veteran status, or any other protected class. We can recommend jobs specifically for you! Click here to get started.

Who We Are Marketbridge is a growth consulting and marketing firm dedicated to helping modern leaders accelerate performance with no signal loss from strategy through execution. We combine management consultancy with marketing agency expertise, all backed by marketing science, creative problem-solving, and technological know-how. Our integrated approach brings together teams, technology, data, strategies, processes, and plans to fuel sustainable revenue growth and build deeper, more resonant customer relationships. We partner with some of the world's largest and most ambitious brands, providing innovative solutions that drive commercial agility and long-term success. Who We're Looking For Marketbridge is looking for a Data Scientist to support program strategy and execution to help clients improve their marketing and sales outcomes. The Data Scientist will be part of a project team and play a key role in helping our clients measure marketing's effectiveness and optimize marketing mix to drive results. You will quickly work with clients to solve some of their most pressing problems, leveraging a variety of tools and methods including quantitative analysis, model development, and market research. Responsibilities Model Development: Investigate, suggest, and attempt new model builds including Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA) Project and Client Management: Communicate with clients regarding data outputs, create technical slides for project deliverables, and flag roadblocks that may impede on-time delivery Internal Collaboration: Participate in brainstorms and troubleshooting, partner with Lead Data Scientist and Project Manager to outline modeling approach and data sources, and support and mentor junior Analysts Qualifications This position is for those with significant analytics experience who are looking for an opportunity to use data, research, and best practices to help improve clients' sales and marketing strategies while increasing the responsibility and autonomy over their workstreams. We are looking for someone who: Has 2+ years of experience in data-driven consulting, market research, and data science Has a background in highly quantitative hard sciences (advanced math, computer science, or economics) or highly quantitative social sciences Is comfortable using big or small data environments to answer questions and then develop an overall story about what the analysis means Can integrate stimulus, response, and control data from a variety of sources including agencies, internal systems, and technology platforms Has experience in econometric techniques, including panel data, ridge regression, and multiple functional forms as well as machine learning techniques Demonstrates strong coding skills in R and/or Python, including data munging Is adept at creating reproducible deliverables (Rmarkdown, notebooks, etc.) Has experience with version control (git, github, etc.) and modern data storage (MapReduce, Spark) Note: This position requires the ability to work in the United States without visa sponsorship. MarketBridge is an Equal Opportunity Employer. The ideal candidate will: Can balance multiple projects at one time, under tight deadlines Has excellent written and oral communication, presentation, and analytical skills Is extremely conscientious, with a strong attention to detail and excellent organizational skills Be proactive and start projects with little prodding Our Culture At Marketbridge, we pride ourselves on fostering an entrepreneurial culture filled with intellectually curious, high-spirited individuals committed to making a tangible impact each day. We value our people as our greatest asset, offering a workplace where high performers are acknowledged and rewarded. Working here means joining a team of the brightest minds in the industry, in an environment that champions professional growth and development through a mix of personal initiatives and company-supported learning. We believe in empowering our employees to own their career paths, supported by management guidance and organizational resources. We are proud to have been named one of The Washington Post's 2024 Top Workplaces in the Washington, D.C. area! We provide a benefits experience centered around wellness. It is important to us that every Marketbridger feels cared for and valued. Industry competitive compensation and performance-based bonuses Generous paid time off including vacation, holidays, sick leave, maternity/paternity leave, and Friday Summer hours A wide array of healthcare options including medical, dental, and vision coverage 401(k) savings plan with company match Marketbridge-led Social Committee Referral bonus program Mentor program for new hires This role is a hybrid role based out of our Bethesda, MD office. The salary range for this role is $100,000-$125,000 with an eligible annual bonus of up to 15%.

Virtualitics, Inc. is an advanced analytics company that helps enterprises and governments make smarter business decisions, faster with ready-to-use AI that can be understood-by analysts and business leaders alike. Our AI platform allows organizations to rapidly process complex data into powerful multi-dimensional graph visualizations, and predict future business outcomes with clear, explainable no-code AI modeling. Virtualitics puts AI into use across the enterprise with enhanced analytics that's easily integrated into the flow of work. Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory. The platform has been deployed across Department of Defense agencies, Federal Civilian agencies, and Fortune 500 companies. We're proud to have been recently named as one of the Air Force's "big bets" on emerging technology and Built In's top companies to work for in 2022! Our fast-growing team is looking for a skilled, motivated and reliable Data Scientist TS/SCI to help grow our company. What you'll do Use the capabilities of the Virtualitics AI Platform to deploy production solutions for our customers. Work with customer data and own the development of an AI solution from ideation to production Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers. Your qualifications Must have an active TS/SCI security clearance and be willing to work from an SCIF. Must be located in or near Washington DC/Northern Virginia to be able to access relevant SCIFs. Regular travel anticipated to client sites/military bases. Degree in Computer Science. 3+ years of experience writing production-ready code in Python. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc. 1 year of experience deploying a machine learning model in a production environment. 1-2 years of experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.). 3 years of experience with Git (or an alternative version control tool). 1 year of Experience with Docker and/or Kubernetes. A strong sense of ownership and accountability. Excellent written and verbal communication skills in English Pluses Demonstrated experience in leading the development efforts for a project from a SCIF. Experience with Cyber Analytics, PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc. 1 year of experience integrating applications with at least one of Spark, Dask, Snowpark or Kafka. 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g. Flask/Django) You will be required to obtain and maintain an interim and/or final security clearance. Failure to obtain and maintain the required level of clearance may result in the withdrawal of a job offer or removal. What We Offer You We are a team of ambitious individuals who are passionate about creating a revolutionary software company. At Virtualitics, you will have a significant career development opportunity and a chance to contribute to one of the fastest-growing startups in Southern California. Our benefits include highly competitive pay, equity, fully paid health, vision, and dental insurance for you + your dependents, and unlimited PTO. Virtualitics is committed to building a company where every individual can bring their full impact and reach their fullest potential. Our mission is to build a diverse and inclusive environment where talented people of all cultures, ages, perspectives, opinions, education, backgrounds, races, gender identity, religions, orientations, abilities, and beliefs can grow and thrive with Virtualitics.

Join the Nalley Consulting team as a Data Scientist at DIA Headquarters. Data ScientistLCAT: MidLocations: DIAC, Joint Base Anacostia BollingShift: No Required clearance: Active TS/SCI clearance Required education: Bachelor's degree Basic Qualifications: Python experience. 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining 3+ years of experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of target data sources Experience with leading the development of solutions to complex problems Experience with natural language processing, text mining, or machine learning techniques Experience implementing automation in processing, presenting, or manipulating data Active TS/SCI clearance; willingness to take a polygraph exam Bachelor's degree Additional Qualifications / Nice to have: Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with Python data science and visualization packages Experience with Excel MBA An active CI polygraph ABOUT NALLEY CONSULTING Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states. Nalley Consulting fringe benefits include: Excellent medical, dental, and vision benefits PTO 11 paid federal holidays Tuition assistance Paid military-reserve leave Paid parental leave for birth or adoption 401k matching up to 5 percent of the base salary Flex time Company-paid short-term disability, long-term disability, and life insurance.

Clearance Level Required: Requires a Top Secret (TS/SCI) Clearance with a Polygraph. The Mission: Square Peg Technologies is looking for data scientists who enjoy leveraging large sets of data to tell stories. In this role, you will apply modern machine and deep learning approaches to import, clean, transform and model data that supports our nation's core intelligence decision-makers. You will be responsible for designing or presenting conclusions gained from analyzing data using statistical tools like Tableau, Python, R and others. Basic Qualifications Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Research and devise innovative statistical models for data analysis Communicate findings to all stakeholders Enable smarter business processes-and implement analytics for meaningful insights Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Preferred Qualifications Bachelor's degree in statistics, applied mathematics, or related discipline 2+ years experience in data science Proficiency in data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS) Master's degree in stats, applied math, or related discipline Square Peg Technologies Company Information Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering, and data management. Our mission is to develop and integrate cutting-edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person's contribution, celebrate wins together, and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top-notch benefits including a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward-leaning and eager to engage with customers, academia, and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA, and other prominent government agencies.

Job Description Akira Technologies is looking for a Senior Data Engineer to add their skills and experience to our team developing, deploying, and maintaining enterprise wide data services supporting the US federal agencies. As a member of the data engineering team, delivering senior level innovative and compelling software solutions across a wide variety of enterprise applications. The job duties and requirements are defined for backend. This role is mostly remote with occasional onsite meetings in Washington, DC. Job Responsibilities Designs, develops, and delivers solutions that meet business line and enterprise requirements. Creates data and reporting infrastructure by building and optimizing production-grade data pipelines using continuous integration/ continuous deployment. Participates in rapid prototyping and POC development efforts. Understand business and technical requirements and constraints to design effective data engineering solutions. Assists in efforts to develop and refine functional and non-functional requirements. Champion engineering excellence, including software design patterns, code reviews and automated unit/functional testing. Create conceptual architecture and detailed designs for data engineering solutions. Contributes to overall enterprise technical architecture and implementation best practices. Participates in iteration and release planning. Performs other duties and projects assigned The ideal person for this position is detail oriented, has expertise as a data engineer, and brings good working knowledge of the leading data platforms, analysis tools, and relevant cloud technologies. He/she will work closely with product owners across various functional areas to understand the objectives of the agency / program and prioritize any requirements. Required Qualifications & Experience Bachelor's degree in Computer Science, Mathematics, Information Management, Data Science, Data Analytics, or a related field Five (5) or more years of experience developing data pipelines and data management services and solutions Minimum of four (4) years of hands-on experience developing data pipelines in Databricks. Required Technical Skills: Design and implementation of data lake, data warehouse and data mart. Web API, REST, XML/JSON. ETL/ELT, and one of data engineering languages (Python/Java/Scala). Hands on Databricks experience building cloud native cloud-native data warehouse Strong SQL experience, with expert-level skills in query performance tuning and data modeling. Designs enterprise database systems using Microsoft SQL Server. Working knowledge of GIT. Develop branching and merging strategies. Ability to design, develop, and maintain scalable, reusable code. Estimate tasks with a level of granularity and accuracy commensurate with information provided to ensure expectations of delivery are reasonable. Excels in a rapid iteration environment with short turnaround time. Salary Range: $130,000 - $160,000 Akira's pay range for this position considers various factors including skills, years of experience, training, licenses, certifications, alignment with market data, and internal equity in the organization. This pay range estimate is a general guideline only and not a guarantee of compensation or salary, which Akira believes to be done in good faith in compliance with local laws. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. General Description of Benefits Akira offers its employees multiple options for medical plans (some with Health Savings Account), dental plans, and vision coverage, and a 401(k) plan with employer match. To promote work/life balance, Akira offers paid time off, including vacation and sick time, holidays, paid parental leave, military leave, bereavement leave, and jury duty leave. We also offer short and long-term disability benefits to protect employee income in the event of sickness or injury, life insurance, accidental death and dismemberment insurance, and critical illness insurance. Akira also offers tuition, training, and certification reimbursement for professional development and career advancement. Akira regularly reviews our total rewards package to ensure our offerings remain competitive and reflect the values and needs expressed by our employees. About Akira Technologies Akira strives to meet and exceed the mission and objectives of US federal agencies. As a leading small business cloud modernization and data analytics services provider, we deliver trusted and highly differentiated solutions and technologies that serve the needs of our customers and citizens. Akira serves as a valued partner to essential government agencies across the intelligence, cyber, defense, civilian, and health markets. Every day, our employees deliver transformational outcomes, solving the most daunting challenges facing our customers. Akira is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

At Data Society, we provide bespoke, leading-edge data and AI solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. We are empowering the workforces of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills. Role Summary: The Data Engineer is responsible for building scalable, performant data pipelines that power critical operational and analytical applications. The engineer must be able to work closely with our data science teams to run ML/AI models on top of enterprise-scale data and build the supporting data scaffolding to orchestrate, test, and monitor data systems. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both autonomously and collaboratively, and communicate effectively are a must. As this position will help to support federal contracts with security requirements, you must be a US Citizen and able to pass a background check to qualify. Responsibilities: Ability to build a full data pipeline from data ingestion to processing/transformation to load to visualization and analysis. Design and manage large-scale data warehouses, lakehouses, and/or data marts Build and optimize data transformation pipelines using tools like dbt to support data flow from ingestion through analytics Champion data governance principles and quality standards, ensuring data lineage, documentation, and metadata are maintained Create efficient, performant SQL-based data queries and Python-based data processing jobs Demonstrate ability to balance computational load, performance, and cost Skills you bring: Advanced Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical disciplines. 5+ years of data and analytics engineering in cloud environments Expertise in SQL, Python, and schema design with experience in data cataloging and governance tools Experienced with data transformation and ETL best practices Experienced with data orchestration tools like Airflow, transformation frameworks like dbt, and cloud deployment tools like Terraform. Demonstrated exceptional oral and written communication skills. The ability to work independently and in a team environment. The ability to work effectively across functions, levels and disciplines. Strong problem solving and critical thinking skills. Superior team-working skills, and a desire to learn, contribute, and explore. Experience with Snowflake, Databricks, Kafka, Flume, Spark, or Flink is a plus Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. This position will be remote / work from home based out of the Washington, DC area with travel to client sites in DC if needed.

Job Title: Developer Premium II - AI Engineer Duration: 7 Months with long term extension Hybrid Onsite: 4 days per week from Day 1 AI Engineer: The AI Engineer will play a pivotal role in designing, developing, and deploying artificial intelligence solutions that enhance operational efficiency, automate decision-making, and support strategic initiatives for the environmental and social specialists within the client. This role is central to the VPU's digital transformation efforts and will contribute to the development of scalable, ethical, and innovative AI systems. Qualifications and Experience Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field. Experience: Minimum 3 years of experience in AI/ML model development and deployment. Experience with MLOps tools (e.g., MLflow), Docker, and cloud platforms (AWS, Azure, GCP). Proven track record in implementing LLMs, RAG, NLP model development and GenAI solutions. Technical Skills: Skilled in - Azure AI/Google Vertex Search, Vector Databases, fine-tuning the RAG, NLP model development, API Management (facilitates access to different sources of data) Proficiency in Python, TensorFlow, PyTorch, and NLP frameworks. Expertise deep learning, computer vision, and large language models. Familiarity with REST APIs, NoSQL, and RDBMS. Certifications (Preferred): Microsoft Certified: Azure AI Engineer Associate Google Machine Learning Engineer SAFe Agile Software Engineer (ASE) Certification in AI Ethics Objectives of the Assignment: Develop and implement AI models and algorithms tailored to business needs. Integrate AI solutions into existing systems and workflows. Ensure ethical compliance and data privacy in all AI initiatives. Support user adoption through training and documentation. Support existing AI solutions by refinement, troubleshooting, and reconfiguration Scope of Work and Responsibilities: AI Solution Development: Collaborate with cross-functional teams to identify AI opportunities. Train, validate, and optimize machine learning models. Translate business requirements to technical specifications. AI Solution Implementation Develop code, deploy AI models and into production environments, and conduct ongoing model training Monitor performance and troubleshoot issues and engage in fine-tuning the solutions to improve accuracy Ensure compliance with ethical standards and data governance policies. User Training and Adoption: Conduct training sessions for stakeholders on AI tools. Develop user guides and technical documentation. Data Analysis and Research: Collect, preprocess, and engineer large datasets for machine learning and AI applications. Recommend and Implement Data Cleaning and Preparation Analyse and use structured and unstructured data (including geospatial data) to extract features and actionable insights. Monitor data quality, detect bias, and manage model/data drift in production environments. Research emerging AI technologies and recommend improvements. Governance, Strategy, Support, and Maintenance: Advise client's staff on AI strategy and policy implications Contribute to the team's AI roadmap and innovation agenda. Provide continuous support and contribute towards maintenance and future enhancements. Deliverables: Work on Proof of Concepts to study the technical feasibility of AI Use Cases Functional AI applications integrated into business systems. Documentation of model/application architecture, training data, and performance metrics. Training materials and user guides. Develop, train, and deploy AI models tailored to business needs “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Clearance Level: Requires a Top Secret (TS/SCI) Clearance with a Polygraph. The Mission: Square Peg is seeking a Data Scientist who can turn structure and unstructured data sets into useful information to solve challenges. You'll work closely with the customer and stakeholders to optimize business processes through data engineering and machine learning techniques and help integrate the developed models into a form useful to the organization. Using Databricks, which was named to both the Magic Quadrant for Cloud Database Management Systems and the Magic Quadrant for Data Science and Machine Learning Platforms, you'll using best in class technology to help our customer solve some of their most challenging data problems. Don't know Databricks, no problem! Sign up for our extensive training program to be a part of shaping the future of AI/ML. Basic Qualifications: 2+ years of experience with one or more of following programming languages: Python, Java, or SQL Experience with designing and executing machine learning models and applications Experience with building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcement Advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization Knowledge of Data Science Libraries (e.g. SparkML, Tensorflow, Sci-Kit Learn) Knowledge of applying time-series / regression analysis, clustering-methods, effectiveness testing (A-/B-hypotheses testing) to solve diverse business problems Experience cleaning data for data science applications Preferred Qualifications: Knowledge in big-data technologies (Hadoop, Apache Spark, Databricks) Experience with business intelligence tools like Tableau Experience with data lakes/warehouses Experience with cloud services, including AWS, Azure, or Google Cloud Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models Possession of excellent verbal and written communication skills A self-motivated and proactive individual with a can-do attitude and the ability to work on projects and solve problems independently Square Peg Technologies Company Information Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering and data management. Our mission is to develop and integrate cutting edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person's contribution, celebrate wins together and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top notch benefits to include a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward leaning and eager to engage with customers, academia and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA and other prominent government agencies.