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aviation data engineer

Booz Allen Hamilton

<div>Aviation 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 a data professional 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><div><p>
As a data engineer at Booz Allen, you&rsquo;ll use your skills and experience to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You&rsquo;ll develop and deploy the pipelines and platforms that organize and make disparate data meaningful.</p></div><p></p><div><p>
Here, you&rsquo;ll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You&rsquo;ll sharpen your skills in analytical exploration and data examination while you support the assessment, design, developing, and maintenance of scalable platforms for your clients.</p></div><p></p><div><p>
Work with us to use data for good.</p></div><p></p><div><p>
Join us. The world can&rsquo;t wait.</p></div><p></p><p><b>
You Have:</b></p><ul><li><p>
2+ years of experience in application development using Databricks or PySpark</p></li><li><p>
2+ years of experience utilizing programming languages, including C++, Java, or Python</p></li><li><p>
2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis</p></li><li><p>
Experience with aviation, geospatial, and weather datasets
</p></li><li><p>Experience creating software for retrieving, parsing, and processing structured and unstructured data</p></li><li><p>
Experience with developing scalable ETL/ELT workflows for reporting and analytics</p></li><li><p>
Experience creating solutions within a collaborative, cross-functional team environment</p></li><li><p>
Ability to develop scripts and programs for converting various types of data into usable formats and support the project team to scale, monitor, and operate data platforms</p></li><li><p>
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements</p></li><li><p>
Bachelor&rsquo;s degree
</p></li></ul><p></p><p><b>Nice If You Have:</b></p><ul><li><p>
Experience in application development utilizing SQL or Scala</p></li><li><p>
Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud</p></li><li><p>
Experience working on real-time data and streaming applications
</p></li><li><p>Experience with NoSQL implementation using MongoDB or Cassandra</p></li><li><p>
Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake</p></li><li><p>
Experience with UNIX/Linux, including basic commands and Shell scripting</p></li><li><p>
Experience with Agile engineering practices
</p></li></ul><p></p><p><b>Vetting:
</b></p><p>Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client.</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 $62,000.00 to $141,000.00 (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>

Aviation Data Engineer

Noblis

<div>Responsibilities:
<div>
We are seeking highly qualified Subject Matter Experts (SMEs) across multiple levels (I&ndash;V) to support data science, aviation, engineering, psychological, analytical, and technical programs within the Federal Aviation Administration (FAA) or related federal initiatives. SMEs will apply advanced knowledge in their respective technical or analytical disciplines&mdash;particularly data science, machine learning, and data-driven analysis&mdash;to solve complex problems, integrate requirements, and contribute to system design, program execution, and organizational effectiveness.</div><div></div><div><br>
SMEs will participate in multidisciplinary teams, utilizing advanced analytical tools, simulation environments, laboratories, data analysis platforms, and test facilities. They will provide guidance in technical planning, data strategy, process improvement, and performance evaluation, ensuring that data-driven insights inform program and mission outcomes.</div><div></div><div><br>
Key Responsibilities (All Levels)</div><ul><li>
Apply advanced knowledge in data science, engineering, psychology, or related technical disciplines to solve complex technical or organizational problems within the FAA or similar environments.</li><li>
Extract insights and value from large and complex datasets to inform decision-making, enhance system performance, and drive innovation across programs.</li><li>
Develop and implement data-driven solutions and predictive models using advanced statistical, machine learning, and data analysis techniques.</li><li>
Collect, clean, and integrate data from multiple sources to support analytical, technical, and operational objectives.</li><li>
Perform exploratory data analysis (EDA) to identify trends, patterns, and relationships in data relevant to aviation safety, engineering performance, human factors, or organizational outcomes.</li><li>
Utilize scientific, engineering, and analytical tools (e.g., Python, R, SQL, MATLAB, data visualization platforms) to design, test, and validate analytical models and simulations.</li><li>
Collaborate with cross-functional teams&mdash;including software engineers, data analysts, behavioral scientists, and domain experts&mdash;to integrate data science solutions into operational systems and decision-support workflows.</li><li>
Develop and review technical documentation, reports, and data-driven recommendations to support program planning, compliance, and strategic decisions.</li><li>
Communicate analytical findings and technical insights to stakeholders in a clear, actionable manner, enabling evidence-based decision-making.</li><li>
Contribute to technical planning, data infrastructure design, and process optimization, ensuring alignment with program goals and federal data standards.</li><li>
Mentor junior staff and provide expertise in data science methodologies, enhancing team capabilities and promoting a culture of analytical excellence.</li></ul>
Required Qualifications:<div></div><div><br>
Qualifications for all Levels:</div><ul><li>
U.S. citizen or green card permanent resident (3+ years U.S. residency)</li><li>
Ability to obtain and maintain FAA Sutiability/Public Trust.</li><li>
Experience with FAA and the environment.</li></ul><div>
Level I</div><div>
Required Qualifications</div><ul><li>
Bachelor&rsquo;s degree in engineering, science, or related field and 4+ years of relevant experience; <i>or</i> equivalent aviation-related experience with 6+ years.
</li></ul><div>D.C. Salary Range: $71,800.00 - $112,150</div><div></div><div><br>
Level II</div><div>
Required Qualifications:</div><ul><li>
Bachelor&rsquo;s degree in engineering, science, or related field and 8+ years of relevant experience; <i>or</i> equivalent aviation-related experience with 12+ years.</li></ul><div>
D.C. Salary Range: $78,900 - $123,300</div><div><br>
</div><div>Level III</div><div>
Required Qualifications:</div><ul><li>
Master&rsquo;s degree in engineering, science, or related field and 10+ years of experience; <i>or</i> Bachelor&rsquo;s degree with 12+ years of experience.</li></ul><div>
D.C. Salary Range: $105,100 - $164,125</div><div></div><div><br>
</div><div>Level IV</div><div>
Required Qualifications:</div><ul><li>
Master&rsquo;s degree in engineering, science, or related field and 13+ years of experience; <i>or</i> Bachelor&rsquo;s degree with 17+ years of experience.</li></ul><div>
D.C. Salary Range: $127,100 - $198,575</div><div><br>
</div><div>Level V</div><div>
Required Qualifications:</div><ul><li>
Doctorate degree in psychology, industrial/organizational psychology, engineering, science, or related technical/analytical field and 10+ years of experience; <i>or</i> Master&rsquo;s degree with 12+ years, or Bachelor&rsquo;s degree with 17+ years of experience.</li></ul><div>
 D.C. Salary Range: $153,800 - $240,350</div>
Desired Qualifications:
<div>
Desired Expertise</div><ul><li>
Demonstrated experience in data science, machine learning, statistics, or quantitative analysis, preferably in aviation, engineering, or related technical domains.</li><li>
Proficiency with data science tools and programming languages (e.g., Python, R, SQL, TensorFlow, PyTorch, scikit-learn, Tableau, Power BI).</li><li>
Strong understanding of data pipelines, data governance, and analytical model deployment in operational environments.</li><li>
Ability to translate complex technical and analytical concepts into actionable insights for diverse stakeholders.</li></ul><div>
Level I</div><ul><li>
Experience with technical problem-solving, system integration, or engineering team support in aviation-related programs.</li></ul><div>
Level II</div><ul><li>
Demonstrated experience leading small technical teams, performing process improvement, and applying engineering/scientific tools to complex problems.</li></ul><div>
Level III</div><ul><li>
Experience in advanced technical planning, integration of complex systems, and use of data analysis and test facilities for problem resolution.</li></ul><div>
Level IV</div><ul><li>
Proven record of technical leadership, mentorship of junior SMEs, and contributions to program or organizational strategy.</li><li>
Experience with large-scale program integration, advanced modeling, simulation, or laboratory testing.</li></ul><div>
Level V</div><ul><li>
Expertise in psychological, organizational, technical, or analytical domains applied to aviation, engineering, or large-scale program environments.</li></ul><ul><li>
Demonstrated leadership in multidisciplinary teams, system-of-systems problem solving, and organizational planning.</li><li>
Experience applying human factors, industrial/organizational psychology, or advanced analytics to improve performance, safety, and process outcomes.</li></ul><div><b>
**THIS POSITION IS CONTINGENT ON AWARD AND POSITION AVAILABILITY**</b></div><br>
<div></div>
Overview:
<div>
Noblis and our wholly owned subsidiaries, Noblis ESI, and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Learn more at Noblis -About Us</div><div></div><div><b><br>
Why work at a Noblis company?</b></div><div>
Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards. Noblis maintains a drug-free workplace.</div><div></div><ul><li><br>
<i>Remote/hybrid status is subject to change based on Noblis and/or government requirements</i></li></ul>
Commitment to Non-Discrimination:
<div>
All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, sex, age, national origin, religion, physical or mental disability, pregnancy/childbirth and related medical conditions, veteran or military status, or any other characteristics protected by applicable federal, state, or local law.</div><div></div><div><br>
If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact us.</div><div>
EEO is the Law | E-Verify | Right to Work</div><br>
<br>
Total Rewards:
<div>
At Noblis we recognize and reward your contributions, provide you with growth opportunities, 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, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits page on our Careers site.</div><div></div><div><br>
Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis&rsquo; total compensation package.</div><br>
<br>
Posted Salary Range: USD $71,800.00 - USD $240,350.00 /Yr.</div>

Data Scientist (Multiple Levels)

NIRA Inc.

<div><p>NIRA Inc., a fast-growing women-owned small business headquartered in Washington, DC, is seeking a <b>Technical Tableau Developer / Site Administrator</b> to support the Federal Aviation Administration (FAA). Our ideal candidate has strong analytical and technical skills, experience developing Tableau dashboards and managing Tableau platform operations, and the ability to collaborate effectively with data owners, analysts, and stakeholders to ensure reliable data and reporting solutions.</p><p>
This role will support the development, administration, and governance of the Tableau platform, including management of SQL-based data connections, data extract refresh processes, and monitoring of data accuracy. The successful candidate will also support Tableau site administration, user access management, and dashboard testing to ensure compliance with FAA governance standards and Tableau best practices.</p><p>
We are seeking motivated, talented individuals interested in growing their careers with us not just as task leaders, but as thought leaders in data visualization, analytics, and platform management.</p><p>
This is a full-time, hybrid position. Candidates should expect to work in-person one day a week at either the client site or NIRA headquarters (both in Washington, DC).</p><h3 class="jobSectionHeader"><b>
Core responsibilities will include:</b></h3><ul><li>
Developing and managing SQL-based data connections to support Tableau dashboards and reporting solutions.</li><li>
Managing and monitoring Tableau data extract refresh schedules to ensure timely and accurate data availability.</li><li>
Monitoring data quality and conducting data reconciliation and validation activities to ensure accuracy of published reports.</li><li>
Coordinating with data owners and stakeholders to resolve data issues and maintain reliable data sources.</li><li>
Supporting Tableau site administration, including management of user access, permissions, and security controls.</li><li>
Ensuring published dashboards and reports comply with FAA governance policies, Tableau best practices, and data management standards.</li><li>
Leading or supporting testing and validation activities for dashboards prior to deployment.</li><li>
Maintaining documentation for data sources, dashboards, and platform configurations.</li><li>
Providing inputs to reports, briefings, and other documentation to communicate system performance and analytics insights.</li></ul><h3 class="jobSectionHeader"><b>
Required Qualifications:</b></h3><ul><li>
Bachelor's degree from an accredited university in Computer Science, Information Systems, Data Analytics, or a related field.</li><li>
At least five (5) years of experience in data analytics, Tableau development, or business intelligence platform administration.</li><li>
Experience developing Tableau dashboards and managing SQL Server</li><li>
Strong experience with SQL and relational databases.</li><li>
Experience managing data extract refresh processes and monitoring data pipelines.</li><li>
Experience supporting data validation, quality assurance, and reconciliation activities.</li><li>
Ability to effectively plan, coordinate, and prioritize assignments and workload, execute tasking independently or collaboratively, and consistently meet deadlines.</li></ul><h3 class="jobSectionHeader"><b>
Additional Desired Qualifications:</b></h3><ul><li>
Experience working with the Federal Aviation Administration (FAA) or other federal agencies.</li><li>
Experience administering Tableau Server environments, including security and user management.</li><li>
Familiarity with data governance, analytics platform operations, and BI best practices.</li><li>
Experience working with large enterprise datasets and multiple data sources.</li></ul><h3 class="jobSectionHeader"><b>
About NIRA:</b></h3><p>
NIRA, Inc. is an Equal Opportunity/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, gender, age, national origin, disability, Protected Veteran status, sexual orientation, or any other characteristic protected by federal, state or local law. As a rapidly growing small business, we pride ourselves on our strong customer relationships, cutting-edge technology solutions, and development opportunities for our people.</p></div>

Tableau Developer/Administrator

<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

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

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

OPEXUS

<div><h2 class="jobSectionHeader"><b>Technical Support Engineer</b></h2><p>
The <b>Technical Support Engineer (T2)</b> is a specialized technical resource within Casepoint&rsquo;s Government team, focused on providing high-level technical support for our suite of government applications. This role ensures the technical stability, performance, and availability of the software platforms that government agencies rely on to fulfill their mandates. As a Tier 2 engineer, you will resolve escalated technical incidents that require deep system investigation and administrative configuration.</p><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Do:</b></h3><h4 class="jobSectionHeader"><b>
Application &amp; System Support</b></h4><ul><li><b>
System Stability &amp; Service Recovery</b>: Diagnose and resolve &quot;jobs pending&quot; or &quot;jobs failing&quot; incidents by performing targeted application service restarts (IIS) within hosted customer environments to restore platform functionality.</li><li><b>
Legacy Data Ingestion Support</b>: Facilitate cloud-based data setup and EDR (Electronic Data Retrieval) uploads for customers maintaining legacy versions, ensuring successful data availability within the platform.</li><li><b>
Service &amp; Performance Management</b>: Actively monitor and administer Casepoint applications, including running performance and capacity reports to diagnose and resolve failed processes.</li><li><b>
Technical Configurations</b>: Execute technical setups for API installations and platform integrations for government workflows.</li><li><b>
Advanced Troubleshooting</b>: Troubleshoot, research, diagnose, and resolve escalated incidents where standard front-end interventions are insufficient.</li><li><b>
Identity &amp; Access Support</b>: Configure SAML/SSO for hosted environments, including troubleshooting lockouts and managing the placement of Pay.gov and Login.gov certificates.</li></ul><h4 class="jobSectionHeader"><b>
Government Software Expertise &amp; Administration</b></h4><ul><li><b>
Technical Subject Matter Expert</b>: Act as the primary technical expert on Casepoint solutions, advising both internal teams and government customers during complex issue resolution.</li><li><b>
Administrative Access Recovery</b>: Manage high-level security overrides, including unlocking administrative accounts and performing password resets for users locked out of FX and Pal configuration applications.</li><li><b>
End-User Technical Support</b>: Respond to end users on technology-related issues and questions, capturing detailed information regarding the issue and resolutions in the ticket tracking system.</li><li><b>
Incident Lifecycle Management</b>: Work directly with customers to reproduce technical issues, capturing detailed diagnostic information to develop comprehensive root cause analyses.</li><li><b>
Platform Evolution</b>: Stay up-to-date on skills and knowledge with new developments across the Casepoint platforms.</li><li><b>
Testing &amp; Evaluation</b>: Participate in the testing and evaluation of Casepoint applications and outside utilities to provide input on system integration.</li></ul><h4 class="jobSectionHeader"><b>
Strategic Leadership &amp; Coordination</b></h4><ul><li><b>
Project Leadership</b>: Provide technical leadership during meetings with Customer Success Managers and Project Managers to iron out technical details and help them track project progress.</li><li><b>
Cross-Functional Collaboration</b>: Coordinate with internal teams (Information Services, Product, Customer Services) to ensure system issues are resolved in a timely manner.</li><li><b>
Communication Management</b>: Manage internal and cross-departmental communication for given projects, including email responses and follow-ups.</li><li><b>
Operational Flexibility</b>: Perform day-to-day task technical support needs and other duties as assigned to support the evolving needs of government customers.</li></ul><h3 class="jobSectionHeader"><b>
What You&rsquo;ll Bring to the Team:</b></h3><ul><li><b>
Education</b>: Degree in Computer Science, Information Technology, or an equivalent combination of education and experience.</li><li><b>
Specialized Knowledge</b>: Demonstrated familiarity with the technical requirements of supporting government-specific software.</li><li><b>
Technical Proficiency</b>: Proven ability to diagnose and resolve complex incidents involving web servers (IIS), database queries, and identity providers (SAML/SSO).</li><li><b>
Communication</b>: Exceptional oral and written communication skills with the ability to lead technical discussions with government clients.</li><li><b>
Citizenship</b>: <b>US Citizenship (non-dual)</b> is required by government contract.</li><li><b>
Clearance</b>: Ability to obtain and maintain a <b>Public Trust</b> or higher clearance.</li></ul><p><b>
Work Location &amp; Flexibility:</b></p><p>
We are headquartered in Washington, D.C., and this role is eligible for remote work from the following states: AR, AZ, CA, CO, CT, D.C., DE, FL, GA, IL, IN, KS, KY, MA, MD, MI, MN, NC, NH, NJ, NY, OH, OR, PA, SC, TX, VA, WA, WI, WY. If you live outside these states, unfortunately we&rsquo;re not able to consider your application at this time.</p></div><p></p>

Technical Support Engineer

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