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Software Engineer, Machine Learning

WilmerHale

<div><div><p>WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.</p>
<p><b>
About the Role</b></p>
<p>
The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.
</p><p><b>What You Will Be Doing</b></p>
<ul><li> Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.</li></ul>
<ul><li> Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.</li></ul>
<ul><li> Optimizes existing generative AI models for improved performance, scalability, and efficiency.</li></ul>
<ul><li> Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.</li></ul>
<ul><li> Contributes to the establishment of best practices and standards for AI development within the organization.</li></ul>
<ul><li> Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.</li></ul>
<ul><li> Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.</li></ul>
<ul><li> Provides technical mentorship and guidance to other team members.</li></ul>
<ul><li> Creates and delivers end-user training and documentation and provides second-line support to other users.</li></ul>
<ul><li> Displays professionalism, quality service and a positive &quot;can do&quot; attitude to internal members/departments of the Firm.</li></ul>
<ul><li> Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.</li></ul>
<ul><li> Participates in special projects and performs other duties as assigned.</li></ul>
</div>
<div>Required Skills
</div>
<div><p><b>What You Will Bring to This Position</b></p>
<ul><li> Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,</li></ul>
<ul><li> Experience building recommendation models.</li></ul>
<ul><li> Strong knowledge of data structures, algorithms, and software engineering principles.</li></ul>
<ul><li> Familiar with cloud-based platforms and services, such as Azure or AWS.</li></ul>
<ul><li> Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.</li></ul>
<ul><li> Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.</li></ul>
<ul><li> Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.</li></ul>
<ul><li> Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.</li></ul>
<ul><li> Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.</li></ul>
<ul><li> Willingness and ability to learn and use new technologies as the need arises.</li></ul>
<ul><li> Ability to work effectively with both users and technical staff in team-oriented environments.</li></ul>
<ul><li> Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.</li></ul>
<ul><li> Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.</li></ul>
<ul><li> A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
</li></ul><ul><li> Hands-on experience with LLMs fine-tuning is a plus.</li></ul>
<ul><li> Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.</li></ul>
<ul><li> The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.</li></ul>
</div>
<div>Required Experience
</div><div><ul><li>1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3</li>
<li>2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology</li>
<li>4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus</li>
<li>Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)</li>
</ul>
<p><b>Education</b></p>
<ul>
<li>Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.</li></ul><br>
<p></p>
<p><b>
Our Commitment</b></p>
<p>
Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
</p><p>For more information about Equal Employment Opportunity, please click here.</p>
<p>
Hire in salary range is $135,000 - $169,000</p>
<ul><li> For additional information about our benefits, please click here</li></ul>
<p>
#L1-KB1</p>
<p>
#L1-Hybrid</p>
<p>
This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.</p>
</div>
<div>Job Location
</div><div>Washington, District of Columbia, United States
</div><div>Position Type
</div><div>Full-Time/Regular
</div><div>Salary
</div><div>135,000.00 - 169,000.00 USD</div></div>

Artificial Intelligence (AI) Engineer

Google

<div>Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.<br>
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: <b>Reston, VA, USA; Washington D.C., DC, USA</b>.<h3 class="jobSectionHeader"><b>
Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Computer Science or equivalent practical experience.<br>
</li>
<li>6 years of experience building machine learning solutions and working with technical customers.<br>
</li>
<li>Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.<br>
</li>
<li>Experience with frameworks for deep learning (e.g., Tensorflow, Jax, PyTorch, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.</li>
<li>Must possess an active Top Secret/SCI security clearance.</li>
<li>Ability to travel up to 30% of the time.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul><li>
Experience with LLMs and LLM-based solutions such as prompt engineering, fine-tuning, RAG workflows, and agentic systems.</li><li>
Experience in containerizing ML workloads within Linux/Unix environments.</li><li>
Ability to lead the design and implementation of AI-based solutions, web services, and debugging tools.</li><li>
</li></ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google&rsquo;s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.<br>
<br>
The GPS AI Catalyst Team (ACT) is dedicated to supercharging AI adoption across the Public Sector. By tightly aligning our engineering efforts with Go-to-Market and Google Public Sector Services, we incubate and productionalize differentiated AI solutions to solve repeatable mission-critical use cases. We serve as the technical backbone and trusted advisors for customers, ensuring the swift and secure integration of AI solutions, from initial concept through sustained deployment.<br>
<br>
As an AI/ML Engineer, you will be a key member of the Google Cloud Consulting Professional Service Organization, guiding customers through their business transformation by leveraging Google's AI technologies. You will design, prototype, and implement modern technical architectures. This role involves acting as a trusted technical advisor, resolving challenges, and sharing best practices through various forms of technical content.<div></div><p><br>
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.</p><p><br>
The US base salary range for this full-time position is $153,000-$222,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</p><p>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Be a trusted technical advisor to customers and solve complex machine learning challenges.<br>
</li>
<li>Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.<br>
</li>
<li>Work with customers, partners, and Google Product teams to deliver tailored solutions into production.<br>
</li>
<li>Coach customers on the practical challenges in ML systems: feature extraction/feature definition, data validation, monitoring, and management of features/models.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

AI/ML Engineer, National Security, Google Public Sector

<div>Posting Description:
<p><b>
Aon is Looking for a Data Scientist</b></p><div>
Data science is revolutionizing many areas of business and the management of people is no exception. Aon&rsquo;s human capital business, encompassing over 2,000 colleagues and spanning the globe, applies our market-leading workforce data to help clients tackle transformational projects.</div><p></p><p><b><br>
Aon is in the business of better decisions</b></p><p></p><p><br>
At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.</p><p><br>
</p><p>As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.</p><p><br>
</p><p><b>What the day will look like</b></p><ul><li>
Provide technical leadership in a team that generates business insights, identify impactful recommendations, and communicate the findings to clients</li><li>
Brainstorm innovative ways to use our unique data to answer business problems</li><li>
Design, construct, install, test, and maintain data management systems typically in the form of scalable Databricks pipelines</li><li>
Research, build, and apply LLMs and NLP-based systems for insight extraction and data enrichment use-cases</li><li>
Create advanced statistical and machine-learning models to provide specific recommendations to business leaders</li><li>
Communicate complex quantitative analyses in a clear, precise, and actionable manner</li><li>
Leverage data visualization to convey insights in a compelling way</li><li>
Work in a team, take initiative, and share your knowledge with others</li></ul><p><b>
How this opportunity is different</b></p><div>
Human Capital Data Scientists will have the opportunity to apply and develop advanced data skills and play an important role in delivering innovative solutions. Our focus lies in building creative solutions that have an immediate impact on the business of our partners and the lives of the people who work for them. We work in complementary teams comprising data scientists and consultants from across the organization. Aon is home to human capital data of a scale and breadth found in few other places, allowing you to participate in developing market-leading insights that shape how companies manage their people and their business.</div><p></p><p><b><br>
Skills and experience that will lead to success</b></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Economics, Data Science, Statistics, Computer Science or related field</li><li>
Four years of work experience with a Bachelor&rsquo;s degree or at least two years of experience with an advanced degree</li><li>
Proficiency with Python and Databricks</li><li>
Knowledge of data visualization software such as Tableau or Power BI</li><li>
Experience with multivariate linear regression models and hypothesis testing</li><li>
Experience with collaborative development environment like GitHub</li></ul><p><b>
 Preferred Experience</b></p><ul><li>
A passion for data visualization</li><li>
Proficiency with ETL processes</li><li>
Experience with Databricks and Snowflake</li><li>
Experience with advanced econometrics and machine learning methods for social sciences</li><li>
Experience with discrete choice experiments or conjoint analysis</li></ul><p><b>
How we support our colleagues</b></p><p><br>
</p><p>In addition to our comprehensive benefits package, we encourage an inclusive workforce. Plus, our agile environment allows you to manage your wellbeing and work/life balance, ensuring you can be your best self at Aon. Furthermore, all colleagues enjoy two &ldquo;Global Wellbeing Days&rdquo; each year, encouraging you to take time to focus on yourself. We offer a variety of working style solutions for our colleagues as well.</p><p></p><p><br>
Our continuous learning culture inspires and equips you to learn, share and grow, helping you achieve your fullest potential. As a result, at Aon, you are more connected, more relevant, and more valued.</p><p></p><p><br>
Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves. Aon is proud to be an equal opportunity workplace.</p><p></p><div><br>
Aon provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, veteran, marital, domestic partner status, or other legally protected status. People with criminal histories are encouraged to apply.</div><div></div><div><br>
The salary range for this position (intended for U.S. applicants) is $105,000 - $138,000 annually. The actual salary will vary based on applicant&rsquo;s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant&rsquo;s geographic location.</div><div>
This position is eligible to participate in one of Aon&rsquo;s annual incentive plans to receive an annual discretionary bonus in addition to base salary. The amount of any bonus varies and is subject to the terms and conditions of the applicable incentive plan.</div><div></div><div><br>
Aon offers a comprehensive package of benefits for full-time and regular part-time colleagues, including, but not limited to: a 401(k) savings plan with employer contributions; an employee stock purchase plan; consideration for long-term incentive awards at Aon&rsquo;s discretion; medical, dental and vision insurance, various types of leaves of absence, paid time off, including 12 paid holidays throughout the calendar year, 15 days of paid vacation per year, paid sick leave as provided under state and local paid sick leave laws, short-term disability and optional long-term disability, health savings account, health care and dependent care reimbursement accounts, employee and dependent life insurance and supplemental life and AD&amp;D insurance; optional personal insurance policies, adoption assistance, tuition assistance, commuter benefits, and an employee assistance program that includes free counseling sessions. Eligibility for benefits is governed by the applicable plan documents and policies.</div><div></div><div><br>
We are committed to providing equal employment opportunities and fostering an inclusive workplace. If you require accommodations during the application or interview process, please let us know. You can request accommodations by emailing us at ReasonableAccommodations@Aon.com or your recruiter. We will work with you to meet your needs and ensure a fair and equitable experience.</div><div></div><div><br>
For positions in San Francisco and Los Angeles, we will consider for employment qualified applicants with arrest and conviction record in accordance with local Fair Chance ordinances.</div><div></div><div><b><i><br>
Aon is not accepting unsolicited resumes from search firms for this position. If you are a search firm, you will not be compensated in any way for your submission of a candidate, even if Aon hires that candidate.</i></b></div><div></div><p><br>
Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.</p><p></p><p><b><br>
#LI-KN1</b></p><p></p><p><b><br>
#LI-HYBRID</b></p><p><b>
#LI-REMOTE</b></p></div><p></p>

Data Scientist

Cato Institute

<div>Description:
<p>
The Cato Institute seeks qualified candidates for the Senior Research Engineer, Applied AI position. AI tools are proliferating rapidly. Making them genuinely useful for policy research requires someone who bridges the gap between what these systems have the potential to do with the breadth, depth, precision, and traceability that good research demands.</p><p>
The Cato Institute has already begun creating AI-enhanced research capabilities. The Senior Research Engineer, Applied AI, joins that effort as Cato&rsquo;s first dedicated engineering position focused on the research domain &mdash; a role with significant latitude to shape how research technology evolves at Cato.</p><p>
The Senior Research Engineer closely partners with research teams, understanding their problems and identifying where AI and other advanced methods can make a real difference.</p><p>
And the Senior Research Engineer gets their hands dirty, building state-of-the-art, research-grade tooling and capabilities &mdash; such as context engineering architectures, AI output benchmarking tools, and literature discovery systems.</p><p>
Project priorities emerge through consultation between the Senior Research Engineer, the CTA, and research leadership &mdash; a process that will take shape as this new role matures, and the Senior Research Engineer will play an active part in shaping it.</p><p><i>
The projected salary range for this role is $100,000 - $190,000 per year.</i></p><p><i>
Compensation is based on the successful candidate's educational background, experience, and skills.</i></p><p><b>
About Cato</b></p><p>
The Cato Institute is a public policy research organization &mdash; a think tank &mdash; dedicated to the principles of individual liberty, limited government, free markets, and peace. Its scholars and analysts conduct independent, nonpartisan research on a wide range of policy issues.</p><p>
Founded in 1977, Cato owes its name to Cato&rsquo;s Letters, a series of essays published in 18th-century England that presented a vision of a society free from excessive government power. Those essays inspired the architects of the American Revolution. And the simple, timeless principles of that revolution &mdash; individual liberty, limited government, and free markets &mdash; turn out to be even more powerful in today&rsquo;s world of global markets and unprecedented access to information than Jefferson or Madison could have imagined. Social and economic freedom is not just the best policy for a free people, it is the indispensable framework for the future.</p><p>
Cato Institute is an Equal Opportunity Employer.</p><p><b>
Responsibilities</b></p><ul><li>
Organize and support a cross-department working group to:</li></ul><ul><li>Identify opportunities for AI-enhanced research methods</li><li>Establish best practices, training materials, and reusable templates that help scholars leverage AI tools effectively</li></ul><ul><li>
Build research tools and multi-step AI workflows that improve how scholars work, iterating system architecture and integrations based on their feedback and usage</li><li>
Design and implement context engineering systems to structure Cato&rsquo;s policy research for accurate retrieval and analysis by AI agents</li><li>
Evaluate AI outputs against scholarly standards, diagnosing whether poor results stem from context gaps, architectural flaws, or model limitations &mdash; and implement programmatic guardrails that enforce analytical rigor and empirical honesty</li><li>
Partner with scholars and data visualization specialists on the technical infrastructure of major reports</li></ul><p><b>
Likely Initial Focus Areas (First 6-12 Months)</b></p><ul><li>
Launch the cross-department AI-enhanced research working group</li><li>
Discover existing research technology usage and workflows between multiple Cato research departments</li><li>
Devise and execute empirical assessment methods for custom AI instructions already in use</li><li>
Build tools and create technical organization to address opportunities identified by the working group and discovery</li></ul>
Requirements:
<p><b>
Education and Experience</b></p><ul><li>
Bachelor&rsquo;s degree in computer science, data science, statistics, economics, computational social science, or a related quantitative or technical field</li><li>
5+ years of experience building software, tools, or data systems, including experience in or serving research, policy, government, or academic environments</li><li>
Expertise building LLM-enabled systems (prompting, retrieval/context construction, tool use, and evaluation), and iterating them based on structured empirical evaluation</li><li>
Proficiency with multiple major LLMs: ChatGPT, Claude, Gemini, and/or Grok</li><li>
Proficiency with Python to build research tools and integrate AI capabilities</li><li>
Working knowledge of Claude Code, Codex, or similar agentic AI development tools</li><li>
Familiarity with research methods and analytical workflows in a policy, academic, or government setting &mdash; sufficient to collaborate meaningfully with researchers and evaluate whether tool outputs meet scholarly standards</li></ul><h4 class="jobSectionHeader"><b>
Knowledge and Skills</b></h4><ul><li>
Strong written and verbal communication, with the ability to explain technical concepts to non-technical researchers and document systems clearly</li><li>
Self-directed, intellectually curious, and comfortable working across departments in an advisory and collaborative capacity</li><li>
Familiarity with Cato's work or demonstrated interest in public policy</li></ul><h4 class="jobSectionHeader"><b>
Preferred Qualifications</b></h4><ul><li>
A demonstrated ability to rapidly acquire new technical skills from first principles to adapt to the highly accelerated pace of AI development</li><li>
Experience with SQL and data pipeline tools to transform and structure research datasets for analysis and retrieval</li><li>
Experience with R, Stata, or other research-oriented programming languages</li><li>
Familiarity with cost-performance trade-offs across AI model tiers</li><li>
Familiarity with think tank, government, or academic research environments</li></ul><p><b>
Benefits</b></p><p>
All Cato employees are provided:</p><ul><li>
Medical, dental, and vision insurance</li><li>
Employer contribution to a Health Savings Account (HSA)</li><li>
Generous vacation and sick days</li><li>
Paid parental leave</li><li>
Employer-provided life and disability insurance</li><li>
401(k) employer match</li><li>
Transit/Parking benefits</li><li>
Pet discount plan</li></ul><p><b>
To Apply</b></p><p>
Please submit the following materials:</p><ul><li>
Resume or CV</li><li>
A cover letter &mdash; written by your own hand, not with the LLM tools you&rsquo;ve mastered, so we can best understand your genuine thought process &mdash; detailing your experience at the intersection of research and engineering, your interest in leveraging AI and other advanced technology for policy research, and why Cato&rsquo;s mission appeals to you</li><li>
Optional: links to code repositories, personal projects, or technical writing</li></ul><p><i>
Applicants must be currently authorized to work in the United States on a full-time basis. This position does not offer visa sponsorship.</i></p></div>

Senior Research Engineer, Applied AI

Stemtree of Ashburn

<p><b>Job Overview</b><br/>Devout, Inc. is seeking a highly skilled and motivated <b>Databricks Certified Data Engineer / AWS Solutions Architect</b> to join our dynamic data team. This role offers an exciting opportunity to design, develop, and optimize scalable data solutions leveraging cloud platforms and big data technologies. As a key player, you will architect robust data pipelines, implement innovative analytics solutions, and ensure seamless integration across diverse data sources. Your expertise will empower our organization to harness the full potential of data-driven insights, driving strategic decision-making and operational excellence.</p><p><b>Duties</b></p><ul><li>Design, build, and maintain scalable data pipelines using Databricks, Spark, and Hadoop ecosystems to support complex analytics and machine learning models.</li><li>Develop and optimize cloud-based data architectures on AWS, including services like S3, Redshift, Lambda, and EC2 instances, ensuring high availability and security.</li><li>Collaborate with cross-functional teams to gather requirements and translate them into efficient ETL (Extract, Transform, Load) processes utilizing tools such as Talend, Informatica, or custom scripting in Python, Bash, or Shell scripting.</li><li>Implement database solutions with Microsoft SQL Server, Oracle, and Azure Data Lake for structured and unstructured data storage.</li><li>Design and develop RESTful APIs for seamless data integration across platforms and applications.</li><li>Conduct analysis of large datasets using SQL, Python, Spark, and other analytical tools to derive actionable insights.</li><li>Support model training activities by preparing datasets and ensuring data quality for machine learning initiatives.</li><li>Maintain comprehensive documentation of architecture designs, workflows, and best practices aligned with Agile development methodologies.</li></ul><p><b>Requirements</b></p><ul><li>Proven certification as a Databricks Certified Data Engineer and AWS Solutions Architect demonstrating expertise in cloud architecture and big data processing.</li><li>Extensive experience working with AWS cloud services, including S3, EC2, Lambda, Redshift, and related tools.</li><li>Strong programming skills in Java, Python, Bash (Unix shell), or Shell scripting for automation and pipeline development.</li><li>Deep understanding of big data frameworks such as Hadoop ecosystem components (HDFS, Hive), Spark (PySpark), Apache Hive, and related technologies.</li><li>Hands-on experience with ETL tools like Talend or Informatica for efficient data integration workflows.</li><li>Proficiency in database design principles for Data Warehouses using SQL Server, Oracle databases; familiarity with Looker or similar BI tools for reporting.</li><li>Knowledge of Linked Data concepts for semantic web applications is a plus.</li><li>Ability to analyze complex datasets with strong attention to detail; excellent problem-solving skills are essential.</li><li>Experience working within Agile teams to deliver iterative solutions in fast-paced environments.</li><li>Familiarity with analysis techniques involving model training and predictive analytics is advantageous. Join us to leverage your expertise in cloud architecture and big data engineering! Be part of a forward-thinking organization committed to innovation through cutting-edge technology solutions that transform how we analyze and utilize data across industries.</li><li>US Citizen required, Public Trust</li><li>Hybrid 2-3 on-site</li></ul><p>Pay: $70.00 - $85.00 per hour</p><p>Work Location: Hybrid remote in Washington, DC 20006</p>

Databricks Certified Data Engineer /AWS Solutions Architect

Booz Allen Hamilton

<div>Data Engineer<p><b>
The Opportunity:</b></p><p>
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 engineer like you to help our clients find answers in their data to impact important missions&mdash;from fraud detection to cancer research to national intelligence.</p><p></p><p>
As a data engineer at Booz Allen, you&rsquo;ll help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You&rsquo;ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.</p><p></p><p>
Here, you&rsquo;ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment. You&rsquo;ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.</p><p></p><p>
Work with us to use data for good.</p><p></p><p>
Join us. The world can&rsquo;t wait.</p><p></p><p><b>
You Have:</b></p><ul><li><p>
8+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data</p></li><li><p>
5+ years of experience in application development</p></li><li><p>
3+ years of experience with Python, SQL, Scala, or Java</p></li><li><p>
3+ years of experience building scalable ETL/ELT workflows for reporting and analytics</p></li><li><p>
Experience creating solutions within a collaborative and cross-functional team environment</p></li><li><p>
Experience using version control tools, such as GitLab, GitHub, or BitBucket</p></li><li><p>
Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor, and operate data platforms</p></li><li><p>
Active TS/SCI clearance; willingness to take a polygraph exam</p></li><li><p>
Bachelor&rsquo;s degree and 8+ years of experience in data engineering or 12+ years of experience in data engineering in lieu of a degree</p></li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li><p>
Experience with UNIX or Linux, including basic commands and Shell scripting</p></li><li><p>
Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud</p></li><li><p>
Experience with distributed data and computing tools including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka</p></li><li><p>
Experience with defense intelligence production</p></li><li><p>
Experience with Agile engineering practices</p></li><li><p>
TS/SCI clearance with a polygraph</p></li></ul><p></p><p><b>
Clearance:</b></p><p>
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.</p><p></p><p><b>
Compensation</b></p><p>
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.</p><p></p>
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.<p></p><p><b>
Identity Statement</b></p><p>
As part of the application process, 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.</p><p></p><p><b>
Work Model</b><br>
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.</p><ul><li>
If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.</li><li>
If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.</li></ul><p></p><p><b>
Commitment to Non-Discrimination</b></p><p>
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.</p></div><p></p>

Data Engineer

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