data scientist

ai content engineer

ai devops engineer

ai/ml developer

data analyst

data engineer lead

Booz Allen Hamilton

<div>Data Engineer, Lead
The Opportunity:
Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there&rsquo;s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it&rsquo;s gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions from fraud detection to cancer research, to national intelligence.
As a Data Engineer at Booz Allen, you&rsquo;ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You&rsquo;ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.
Here, you&rsquo;ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You&rsquo;ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients.
Work with us to use data for good.
Join us. The world can&rsquo;t wait.
You Have:<ul><li>
5+ years of experience in database architecture and modeling</li><li>
5+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data</li><li>
5+ years of experience developing scalable ETL or ELT workflows for reporting and analytics</li><li>
5+ years of experience using Python or SQL</li><li>
5+ years of experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka</li><li>
2+ years of experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud</li><li>
Secret clearance</li><li>
Bachelor&rsquo;s degree
</li></ul>Nice If You Have:<ul><li>
5+ years of experience with UNIX or Linux, including basic commands and Shell scripting</li><li>
5+ years of experience with Agile engineering practices</li><li>
3+ years of experience with NoSQL implementation, including MongoDB or Cassandra</li><li>
3+ years of experience with data warehousing, including AWS Redshift, MySQL, MSSQL, Orcale, Postgresql, or Snowflake</li><li>
Cybersecurity Certification such as Security+ Certification, AI and ML Associate, Red Hat, Linux+, or AWS Certification such as AWS Solutions Architect Certification</li></ul>
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model 
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.<ul><li>
Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.</li><li>
Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.</li><li>
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.</li></ul>
Commitment to Non-Discrimination
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, local, or international law.</div>

Data Engineer, Lead

Fusion Global Technologies & Solutions

The Senior Engineer is an authority on Unified Communications (UC) and Contact Center as a Service (CCaaS)platforms. They focus on architecture, high-level troubleshooting, and strategy.Key Responsibilities:<ul><li>System Architecture: Design and optimize the flow of calls, chats, and automated SMS responses within the Client contact center environment.</li><li>Tier III Support: Lead the resolution of complex outages or systemic bugs that Junior engineers cannot resolve.</li><li>Vendor Management: Interface with providers (like Cisco, Avaya, or Genesys) and manage service level agreements (SLAs).</li><li>AI &amp; Automation: Implement &quot;Virtual Investigators&quot; or AI voice-based assessments to speed up intake for 311 reports (e.g., potholes, signal outages).</li><li>Security &amp; Compliance: Ensure call recordings and user data comply with DC government privacy regulations.</li></ul>Qualifications:<ul><li>Education: Bachelor&rsquo;s degree in Computer Science, Electrical Engineering, or related field.</li><li>Experience: Usually 5&ndash;8+ years in telephony or contact center engineering.</li><li>Certifications: CCNP (Collaboration), Azure Solutions Architect, or specific CCaaS platform certifications.</li></ul>Pay: $25.00 - $28.00 per hourWork Location: Remote

Senior Call Center Engineer (Lead/Senior Specialist)

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 IdeaCrew
 
 to connect them with exceptional professionals for this role.
 
 
 
 Junior Data Engineer
 
 
 Job Type: Full-Time
 
 
 Salary: $100,000 to $120,000 / year
 
 
 Full-Time
 
 
 <ul>
 <li>
 Washington, DC / Remote
 
 
 </li>
 </ul>
 IdeaCrew is currently seeking junior Data Engineers to join our innovative, hard-working team as we disrupt healthcare technology.
 
 
 As a member of our Analytics team, you will work with a modern data stack, build scalable data pipelines with python, and support external and internal reporting needs.
 
 
 A Junior Data Engineer for IdeaCrew will
 
 
 <ul>
 <li>
 Build and scale data pipelines in production environments using a modern data stack.
 </li>
 <li>
 Carry out complex analysis utilizing PostgresSQL.
 </li>
 <li>
 Implement data modeling best practices to support analytics and reporting needs.
 </li>
 <li>
 Design technical architectures and infrastructure components.
 </li>
 <li>
 Create automated data and code quality checks.
 </li>
 <li>
 Implement and enforce data governance policies and best practices to ensure data security and compliance.
 </li>
 <li>
 Work closely with cross-functional teams and stakeholders, including business process owners, analysts, and software engineers, to understand requirements and deliver solutions.
 </li>
 <li>
 Develop and maintain technical and process documentation such as data dictionaries, ERDs, data governance policies, etc.
 
 
 </li>
 </ul>
 
 Desired Skills &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered.
 </li>
 <li>
 3+ years of hands-on experience with Python for data processing in a production environment.
 </li>
 <li>
 2+ years of experience with PostgreSQL.
 </li>
 <li>
 Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred.
 </li>
 <li>
 Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams.
 </li>
 <li>
 Strong understanding of the fundamentals of ETL processes, data pipelines, and data modeling concepts.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, GCP, Azure) in a production environment.
 </li>
 <li>
 Experience with the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists is a plus
 </li>
 </ul>
</div>

Junior Data Engineer

ShadowObjects, LLC

<div>Job Title: Data Analytics Engineer 
Clearance Requirement: Active DoD Secret Clearance required 
Location: Remote / Pentagon<h3 class="jobSectionHeader">
Position Overview</h3>
The Data Analytics Engineer is a hybrid role combining Data Analyst, Data Engineer, and Data Scientist responsibilities. This position operates with a high level of autonomy, owning projects end-to-end across functional areas. The ideal candidate is proactive, solution-oriented, and capable of identifying opportunities, reducing complexity, and delivering efficient, high-quality data solutions.
This role also provides guidance to team members, helps remove roadblocks, and contributes to the continuous improvement of processes, systems, and deliverables.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Data Analysis &amp; Insights<ul><li>
Gather, clean, and analyze complex datasets using advanced analytical techniques</li><li>
Apply statistical methods to identify trends, patterns, and anomalies</li><li>
Conduct exploratory data analysis (EDA) to support decision-making</li><li>
Translate data findings into actionable insights for technical and non-technical stakeholders</li></ul>
Data Engineering &amp; Pipeline Development<ul><li>
Design, develop, and maintain ETL/ELT pipelines using Databricks and Delta Lake</li><li>
Implement Medallion Architecture (Bronze, Silver, Gold) to ensure data quality and scalability</li><li>
Manage data ingestion processes with a focus on traceability and governance (e.g., Collibra)</li><li>
Build and maintain data pipelines within DoD environments such as Advana/Jupiter</li><li>
Troubleshoot, debug, and optimize data pipelines, identifying root causes and implementing solutions</li></ul>
Data Visualization &amp; Reporting<ul><li>
Develop dashboards, reports, and visualizations using tools such as Tableau, Power BI, Qlik, or Foundry</li><li>
Create interactive dashboards and reports to support operational and strategic decisions</li><li>
Ensure accuracy, quality, and usability of all data visualizations and deliverables</li></ul>
Integration &amp; System Support<ul><li>
Collaborate with data engineers, analysts, scientists, and stakeholders to deliver integrated data solutions</li><li>
Support real-time data streaming using Databricks Structured Streaming</li><li>
Optimize data storage solutions leveraging Delta Lake capabilities (e.g., schema evolution, time travel)</li></ul>
Governance &amp; Compliance<ul><li>
Maintain data lineage and governance using tools such as Collibra</li><li>
Ensure compliance with data security, privacy, and DoD requirements</li><li>
Establish and enforce data quality standards across multiple data sources</li></ul>
Collaboration &amp; Communication<ul><li>
Work closely with cross-functional teams to gather and refine requirements</li><li>
Communicate findings, recommendations, and metrics clearly and professionally</li><li>
Track assigned tasks and provide regular updates to leadership</li><li>
Mentor junior team members and support team development initiatives</li></ul><h3 class="jobSectionHeader">
Required Qualifications</h3><ul><li>
Active DoD Secret Clearance</li><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Engineering, or a related field</li><li>
5+ years of experience in data engineering and building data pipelines and architectures</li><li>
5+ years of experience in data analysis, data mining, or business intelligence</li><li>
3+ years of experience developing data solutions using Python, SQL, and/or PySpark in big data environments (e.g., Databricks, Snowflake)</li><li>
Strong experience with data visualization tools (Tableau, Power BI, Qlik, Foundry) and advanced Excel (macros, pivot tables, VBA)</li><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud</li><li>
Familiarity with big data frameworks (Hadoop, Spark, Kafka)</li><li>
Strong understanding of ETL processes, data warehousing, and BI best practices</li><li>
Proven ability to analyze large datasets and communicate insights effectively</li><li>
Strong problem-solving skills and attention to detail</li><li>
U.S. work authorization required</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Master&rsquo;s degree in Data Engineering, Computer Science, or related field</li><li>
Experience with DoD data platforms such as Advana and Jupiter</li><li>
Familiarity with statistical methods (e.g., hypothesis testing, regression analysis)</li><li>
Experience with SAP, Foundry, or advanced analytics platforms</li><li>
Experience with NoSQL databases (e.g., Cassandra, MongoDB)</li><li>
Knowledge of containerization tools (Docker, Kubernetes)</li><li>
Experience with version control systems (Git) and Agile methodologies (Scrum, Kanban)</li><li>
Prior experience in a client-facing government environment</li></ul><h3 class="jobSectionHeader">
Equal Employment Opportunity Statement</h3>
ShadowObjects, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.</div>

Data Analytics Engineer

Altamira Technologies Corp.

<div>Software Engineer
Altamira Technologies has a long and successful history of providing innovative solutions throughout the U.S. National Security community. Headquartered in McLean, Virginia, Altamira serves the defense, intelligence, and homeland security communities worldwide by focusing on creating innovative solutions leveraging common standards in architecture, data, and security. Altamira believes that our people and company culture differentiates us from other companies. 
 
We focus on recruiting talented, self-motivated employees who strive to get things done. Join our team of experts as we engineer national security!
Position Description: We are seeking multiple Software Engineers with a mix of experience talent in areas related to cloud-native full-stack development. As part of our team, you will provide software and web development services in support of our customer in Dayton, OH. We are seeking a diverse group of candidates that meet many of the desired skillsets below. Our ideal candidate would possess a broad range of skills as our scope of work spans various technologies, including JavaScript, Python, React, Angular, and others. Altamira Technologies Corporation encourages independent problem-solving and provides deep reach-back support and a collaborative environment for our engineering team. We are looking for candidates who have experience with developing and are not afraid to adapt to the right architecture, languages, and libraries to build the best systems for the mission and deliver the best user experience.
Location: Dayton OH<div>
Role and Responsibilities<ul><li>
Produce software based on desired functionality provided by users and analysts</li><li>
Interpret mission needs and requirements to produce user-friendly software systems</li><li>
Leverage continuous integration to create sustainable and maintainable software</li><li>
Interact with teammates and users through whiteboard sessions and/or design documents to establish circular feedback</li></ul>
Education and Experience<ul><li>
Bachelor&rsquo;s in Computer Science, Computer Engineering, or a related field is required</li><li>
Experience in multiple of the following: Java, Python, Go, Rust, JavaScript, TypeScript, Angular, VueJs, NodeJS, OpenAPI, ArangoDB, Valkey, PostgreSQL, MinIO, Istio ServiceMesh, Redis, Knative, Kubernetes, Helm, Terraform, OpenContainer Initiative, OTEL, and/or Kafka is desired.</li><li>
Additionally, experience with Artificial Intelligence/Machine Learning technologies, such as Tensorflow, PyTorch, LangChain, vLLM, PyTorch Lightning, SK Learn, LibreChat, Streamlit, KubeFlow, MLFlow, Bedrock, Fast API, Tune, Ray Train, Safe Tensors, and/or ONNX is highly desired</li><li>
Kubernetes Certified Application Developer (CKAD) and Certified Kubernetes Administrator (CKA) certifications are highly desired</li><li>
Entry level through Senior level positions available</li></ul>
Abilities and Competencies<ul><li>
Ability to obtain a TS/SCI clearance</li><li>
Self-motivated and eager to work intently to satisfy mission requirements</li><li>
Adaptable and has the desire to maintain our company culture</li><li>
Ability to effectively communicate in verbal and written communications</li><li>
Ability to multitask and adjust priorities as needed</li></ul></div></div>

Software Engineer (Multiple Levels)

Board of Governors of the Federal Reserve System

<div><div>Minimum Education 
 
Enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship. 
 
Minimum Experience 
 
0 
 
Summary 
 
The Federal Reserve Board (Board) provides students opportunities for career success. The Board&rsquo;s Internship program is designed to provide valuable work experience for graduate students considering careers including, but not limited to, economics, finance and accounting, information systems, and data analysis. The Board believes that by combining academic endeavors with project-related work experience, qualified and capable college students can gain the practical knowledge need in a competitive global job market. Internships are paid positions with salaries commensurate with credit hours; internships may be in-person, remote or hybrid, depending on the needs of the team. Employment in the Board&rsquo;s internship program is granted to U.S. citizens. Applicants must be currently enrolled in a graduate degree program at an accredited university and returning to continue studies after the internship. Interns receive a syllabus or research project plan outlining their projects and goals for the internship. Interns are assigned a supervisor or mentor to guide them through their internship, and regular check-in meetings with their manager to manage performance expectations and assist with learning goals. Interns have access to a wide range of training programs and events for professional development purposes.</div><div>
Position Requirements</div><div>
Summary
Technology Services (TS) seeks Data Science, Data Engineer, and Data Architect majors with academic and/or work experience in Data Management, Data Governance, or Data Science. The internship is the ideal opportunity to work in an environment where transformation and organization change management intersect with human resources, financial, and other technology systems. The applicant will support existing Data Management program initiatives. 
The applicant will help support master data integrity processes and procedures for critical systems as well as maintain the processes that support the data quality initiatives. 
The applicant in collaboration with subject matter experts and data stewards, will assist in defining, implementing, and monitoring data strategy, policies, controls, and programs to ensure the enterprise data is accurate, complete, secure, and reliable. The applicant will learn how to critically evaluate information gathered from multiple sources, reconcile conflicts, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish user requests from the underlying true needs. The applicant should have a working understanding of data governance framework, policy, and standards. The applicant should have some experience performing ETL activities such as importing spreadsheets and csv files into databases and running queries. The applicant must be motivated to develop career skills, which align with business and technology through people, process, and tools. The position requires strong interpersonal skills, self-motivation, excellent written and oral skills, and a customer centric approach. The applicant must be able to excel on individual as well as team assignments.
Qualifications 
Applications 
Programming 
Web 
MS Office Suite 
Collibra 
ETL Apps 
SQL 
Python 
This position requires an onsite presence in Washington, D.C. and may allow some telework contingent on policy at time of hire.</div><div>
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, pregnancy, national origin, age, disability, genetic information, or application, membership, or service in the uniformed services.</div></div>

Year-Round Graduate Intern - Technology Services - MFS

Amivero

<div>
 
 Amivero Team
 
 
 
 Amivero&rsquo;s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge and reimagining with our customer how outcomes can be achieved.
 
 
 Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
 
 
 As a member of the Amivero team you will use your empathy for a customer&rsquo;s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
 
 
 
 Special Requirements
 
 
 
 <ul>
 <li>
 US Citizenship Required to obtain Public Trust
 </li>
 <li>
 Active DHS Clearance (preferred)
 </li>
 <li>
 Bachelor Degree + 10 years of experience
 </li>
 <li>
 3+ years of experience developing and optimizing solutions using Python or similar, with a strong focus on performance, scalability, and efficiency
 </li>
 <li>
 Extensive experience working with vector technology databases, designing and implementing solutions to efficiently store, search, and analyze high-dimensional data for real-time and large-scale applications
 
 
 
 </li>
 </ul>
 
 The Gist&hellip;
 
 
 
 The AI/ML Engineer designs, develops, trains, and deploys machine learning models to support predictive analytics, anomaly detection, and decision-support capabilities. This role integrates AI/ML solutions into operational workflows, collaborating with data, product, and engineering teams to ensure models are effective, scalable, and aligned with organizational objectives.
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models to support predictive analytics, anomaly detection, and decision-support tools.
 </li>
 <li>
 Integrate AI/ML solutions into operational systems and workflows to enhance automation and efficiency.
 </li>
 <li>
 Create and fine-tune algorithms for various tasks such as classification, regression, clustering, and recommendation systems.
 </li>
 <li>
 Preprocess, clean, and transform data to ensure high-quality inputs for model training.
 </li>
 <li>
 Develop models leveraging advanced machine learning techniques, including deep learning, reinforcement learning, and natural language processing.
 </li>
 <li>
 Build and maintain scalable and efficient data pipelines using Databricks and Hadoop/Cloudera.
 </li>
 <li>
 Implement ETL processes to clean, prepare, and transform large datasets for analysis and modeling.
 </li>
 <li>
 Ensure data integrity and quality throughout the data lifecycle.
 </li>
 <li>
 Evaluate model performance using appropriate metrics and implement improvements as needed.
 </li>
 <li>
 Collaborate with data engineers, product managers, and developers to align AI/ML solutions with program goals.
 </li>
 <li>
 Implement best practices for model versioning, deployment, monitoring, and retraining.
 </li>
 <li>
 Ensure compliance with data privacy, security, and regulatory standards in AI/ML workflows.
 </li>
 <li>
 Document model design, assumptions, data sources, and performance results.
 </li>
 <li>
 Stay current with emerging AI/ML technologies, frameworks, and research to enhance solutions.
 </li>
 <li>
 Mentor junior team members and contribute to knowledge sharing in AI/ML development practices.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field; a master&rsquo;s degree preferred.
 </li>
 <li>
 A bachelor&rsquo;s degree with an additional three (3) or more years of relevant experience may substitute for a master&rsquo;s degree.
 </li>
 <li>
 Minimum of five (5) years of directly related experience in AI/ML development, data science, or applied analytics.
 </li>
 <li>
 Hands-on experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
 </li>
 <li>
 Strong programming skills in Python, Java, or R; experience with APIs and integration into production systems.
 </li>
 <li>
 Knowledge of data preprocessing, feature engineering, model evaluation, and deployment pipelines.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
 </li>
 <li>
 Excellent analytical, problem-solving, and critical-thinking skills.
 </li>
 <li>
 Strong communication and collaboration skills, with the ability to work with cross-functional teams.
 </li>
 <li>
 Experience mentoring or guiding less experienced AI/ML engineers is a plus.
 
 
 
 </li>
 </ul>
 EOE/M/F/VET/DISABLED
 
 
 All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
</div>

AI/ML Developer

Explore 187+ Data engineer lead in Washington this April. Find roles across top companies and apply now to boost your career.