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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 big 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 big data to impact important missions from fraud detection to cancer research, to national intelligence.</p><p></p><p>
As a big data engineer at Booz Allen, you&rsquo;ll use your skills and experience to 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><p></p><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><p></p><p>
Work with us to use big 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>
4+ years of experience utilizing programming languages, including Python, R, Scala, or SQL</li><li>
2+ years of experience developing and maintaining data applications for reporting and analytics</li><li>
Experience creating workflows for retrieving, parsing, and processing structured and unstructured data</li><li>
Experience developing scalable ETL and ELT workflows for reporting and analytics</li><li>
Experience creating solutions within a collaborative, cross-functional team environment</li><li>
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</li><li>
Secret clearance</li><li>
Bachelor&rsquo;s degree</li></ul><p></p><p><b>
Nice If You Have:</b></p><ul><li>
Experience with Palantir tools such as Foundry</li><li>
Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka</li><li>
Experience with data visualization or geospatial tools, including Tableau, Qlik, Power BI, or ArcGIS</li><li>
Experience working within a Combatant Command or other DoD organization</li><li>
TS/SCI clearance</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; Secret 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 $77,600.00 to $176,000.00 (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

Danaher

<div><p>At Danaher, our work saves lives. And each of us plays a part. Fueled by our culture of continuous improvement, we turn ideas into impact &ndash; innovating at the speed of life.</p><p></p><p>
Our 63,000+ associates work across the globe at more than 15 unique businesses within life sciences, diagnostics, and biotechnology.</p><p></p><p>
Are you ready to accelerate your potential and make a real difference? At Danaher, you can build an incredible career at a leading science and technology company, where we&rsquo;re committed to hiring and developing from within. You&rsquo;ll thrive in a culture of belonging where you and your unique viewpoint matter.</p><p></p><p>
Learn about the Danaher Business System which makes everything possible.</p><p></p><p>
The Staff Data Engineer is responsible for designing and developing high-quality, scalable data solutions that support business analytics, AI, and enterprise solutions across Danaher. In this senior role, you will play a critical part in assessing and improving data availability and quality across multiple enterprise systems, ensuring our data foundation supports actionable insights and innovation.</p><p><br>
This position reports to the Senior Director, Enterprise Data &amp; Analytics Platforms and is part of the Danaher Corporate IT team and will be fully remote with frequent travel to Washington DC and global Danaher sites.</p><p></p><p><b>
In this role, you will have the opportunity to:</b></p><ul><li>
Build and maintain robust pipelines and architectures to meet enterprise-wide analytics and reporting needs, ensuring high-quality, scalable, and performant solutions.</li><li>
Work in 2-week sprint cycles, iteratively delivering business value and continuously improving data solutions.</li><li>
Assess and improve data quality &ndash; Evaluate data availability and quality across enterprise sources (Oracle EBS, SAP, Microsoft Dynamics, Salesforce, and Snowflake) and implement solutions such as improved ETL/ELT processes and data cleansing.</li><li>
Partner with business stakeholders and Data &amp; Analytics teams across Danaher operating companies to translate requirements into technical specifications and unify data from disparate systems.</li><li>
Ensure all data engineering solutions align with enterprise governance, security, and compliance standards, including data privacy and access controls.</li></ul><p></p><p><b>
The essential requirements of the job include:</b></p><ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.</li><li>
10+ years of hands-on experience with data engineering technologies such as SQL, ETL/ELT frameworks, data warehousing platforms (e.g., Teradata, Oracle, Redshift, Snowflake), and programming/scripting languages and frameworks (e.g., Python, PySpark).</li><li>
Deep expertise in cloud data warehousing, especially with Snowflake, and familiarity with equivalent platforms (e.g., Amazon Redshift, Google BigQuery, or Azure Synapse Analytics).</li><li>
Hands-on experience with cloud ecosystems in Microsoft Azure and Amazon Web Services (AWS), leveraging their data storage, integration, and analytics services (such as Azure Data Lake, Azure Data Factory, Databricks, or AWS S3, AWS Glue).</li><li>
Strong experience working with data from enterprise systems such as Oracle EBS, SAP ERP, Microsoft Dynamics, and Salesforce CRM, with proven ability to extract, integrate, and model data from these sources.</li></ul><p></p><p><b>
Travel, Motor Vehicle Record &amp; Physical/Environment Requirements:</b></p><ul><li>
Ability to travel to Washington DC and global Danaher sites, up to 10%</li></ul><p></p><p><b>
It would be a plus if you also possess previous experience in:</b></p><ul><li>
The Danaher Business System (DBS) or other lean business methodology in Information Technology</li><li>
Professional certifications such as Snowflake certifications (e.g., SnowPro Core) or cloud/data engineering certifications (AWS, GCP, Azure).</li><li>
Experience with dbt, Fivetran, Boomi, orchestration tools (e.g., Azure Data Factory), CI/CD for data pipelines, and cloud platforms (AWS, Azure, GCP).</li></ul><p></p><p>
Danaher offers a broad array of comprehensive, competitive benefit programs that add value to our lives. Whether it&rsquo;s a health care program or paid time off, our programs contribute to life beyond the job. Check out our benefits at Danaher Benefits Info.</p><p>
At Danaher, we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible, remote working arrangements for eligible roles and are committed to providing enriching careers, no matter the work arrangement. This position is eligible for a remote work arrangement in which you can work remotely from your home. Additional information about this remote work arrangement will be provided by your interview team. Explore the flexibility and challenge that working for Danaher can provide.</p><p></p><p>
The annual salary range OR the hourly range for this role is $130K-$160K. This is the range that we in good faith believe is the range of possible compensation for this role at the time of this posting. This range may be modified in the future.</p><p>
This job is also eligible for bonus/incentive pay.</p><p></p><p>
We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance and 401(k) to eligible employees.</p><p></p><p>
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.</p><p>
Join our winning team today. Together, we&rsquo;ll accelerate the real-life impact of tomorrow&rsquo;s science and technology. We partner with customers across the globe to help them solve their most complex challenges, architecting solutions that bring the power of science to life.
</p><p></p><p>For more information, visit www.danaher.com.</p></div><p></p>

Staff Data Engineer

Washington Metropolitan Area Transit Authority

<div></div><div><div><div><div><div><div>Job Description</div></div></div><br>
<div>
<div></div><div><div><div><p><b>Department Marketing Statement:</b></p><p>
WMATA is hiring two experienced Software Developers to join our Enterprise Applications team &iquest; one focused on <b>Data Engineering and the other on AI Engineering</b> to help drive innovation across the organization.</p><ul><li><b>
Data Engineer</b> will bring hands-on experience with Oracle Cloud Infrastructure (OCI), Azure, including Autonomous Data Warehouse, Data Integration, and Lakehouse architecture, to build scalable data pipelines that support enterprise analytics.</li><li><b>
AI Engineer</b> will have a strong foundation in machine learning, deep learning, and NLP, with experience deploying models using modern frameworks (such as TensorFlow or Hugging Face) and MLOps practices on cloud platforms.</li></ul><p><i><br>
If you're passionate about building impactful, enterprise-grade solutions using cloud, data, and AI technologies, we want to hear from you</i>.</p><p><b>
Minimum Qualifications</b></p><p><b>
Minimum</b><b> </b><b>Education</b></p><ul><li>
Graduation from an accredited college or university with a Bachelor's Degree in Mathematics, Computer Science, Engineering or related field.</li><li>
In lieu of degree, a high school diploma or GED and additional four (4) years of experience in progressively responsible and diversified information systems, communication systems management and technical experience in a large organization.</li></ul><p><b>
Minimum</b><b> </b><b>Experience</b></p><ul><li>
Five (5) yearsof experience in progressively responsible and diversified information systems, communication systems management and technical experience in a large organization.</li></ul><p><b>
Minimum</b><b> </b><b>Certification/Licensure</b></p><ul><li>
N/A</li></ul><p><b>
Preferred</b><b> </b><b>Qualifications</b></p><ul><li>
Experience in design, development and maintenance of operational applications preferably includingresponsibilities as seniortechnical staff and project managerand as senior technical staff and project manager is preferred.</li></ul><p><b>
Medical Group</b></p><p>
Satisfactorily complete the medical examination for this position, if required. The incumbent must be able to perform the essential functions of this position either with or without reasonable accommodations.</p><p><b>
Summary</b></p><p>
The Software Developer is responsible for resolving the most complex application system problems within Digital Modernization. The incumbent plans, leads, coordinates, and participates in the design, development, quality assurance, installation, testing, and maintenance of assigned software/hardware systems to achieve project objectives and minimize the real-time operational impact of changes on current and developing application systems. The Developer ensures that established system functionality, reliability, performance and availability are maintained throughout the system development cycle, from initial inception through implementation and routine monitoring. The incumbent serves as functional area task leader and may serveas project leaderon complex systemsor technical task forces by planning, assigning, scheduling. They may monitor contractor performance for effectiveness in meeting objectives and solving problems, as well as coordinating projects within Digital Modernization. The Developer is responsible for one or more application projects to include identification and resolution of technical problems. The incumbent has considerable latitude for independent technical and professional judgment within approved plans and established guidelines.</p><p><b>
Essential Functions</b></p><div><p><b>
PrincipalJob </b><b>Duties</b></p><ul><li>
Provides technical leadership and/or specialized technical assistance in problem-solving and application systems development.</li><li>
Provides expert assistance in assigned criticalsystems areas withinthe department.</li><li>
Develops, enhances and maintains applications and integrations withinDigital Modernization's portfolio</li><li>
Prepares concise reportssuitable for all levels of management regarding projects and technical issues within assigned areas of responsibility.</li><li>
Performs assignments using a full complement of software engineering skills such as requirements specification, system design,software development, qualityassurance, documentation, and testing.</li><li>
Functions as project engineer for system configuration management plan, with assigned responsibilityand is designated as the prime pointof contact. Responsible for the maintenance and execution of project configuration version control when making changes to existing application software or designing new software.</li><li>
Is responsible for being on call during&quot;off&quot; hours and must respondto emergency outageseither via telephone, email, or in person and assists on-site staff until normal operations are resumed.</li><li>
Provides technical leadership and/or specialized technicalassistance in problemsolving and application systems development.</li><li>
Is responsible for a high level of operational performance and software reliability within major application systems throughout Digital Modernization.</li><li>
Develops, reviews and updates varioussystems or softwareas required, in compliance with WMATA Standards and Criteria and Standard Specifications with industry standards, best industry practices, and current or future WMATA practices.</li><li>
Develops and reviewsother department technical specifications and task orders for procurement of hardware, software, test equipment and services.</li><li>
Performs failure analysisand prepares reportsincluding root causeand recommended corrective action for stakeholders and management. Evaluates and provide guidanceon system changesto determine feasibility, alternative solutions, and back out procedures.</li><li>
Works closely with end usersto understand theirinformation requirements and to directresolution of their problems.</li><li>
Maintains up-to date supportrequests and projectwork plans. Preparesstatus reports to compare progress with work plans.</li><li>
Advises supervisory staff concerning system modifications and applications system deficiencies, end user requirements, and computer hardware,and recommends softwaresupport, work method and practice improvements.</li><li>
Works variable hours to avoid adverse impact on operations and availability.</li></ul><p><b>
Other</b><b> </b><b>Duties</b></p><ul><li>
Maintains and promotesawareness and accountability with safety policiesand procedures while performing job functions. Promotes a positive safety culture and encourages reporting of safety consistent with our Agency SafetyPlan, other regulatory requirements within the Safety Management System and just culture principles.</li></ul><p><b>
The </b><b>functions</b><b> listed are not intended to limit specific duties and responsibilities of any particular position. Nor is it intended to limit in any way the right of managers and supervisors to assign, direct and control the work of employees under their supervision.</b></p><p><b>
Evaluation Criteria</b></p><p>
Consideration will be given to applicants whose resumes demonstrate the required education and experience. Applicants should include all relevant education and work experience.<br>
Evaluation criteria may include one or more of the following:<br>
&iquest; Skills and/or behavioral assessment<br>
&iquest; Personal interview<br>
&iquest; Verification of education and experience (including certifications and licenses)<br>
&iquest; Criminal Background Check (a criminal conviction is not an automatic bar to employment)<br>
&iquest; Medical examination including a drug and alcohol screening (for safety sensitive positions)<br>
&iquest; Review of a current motor vehicle report</p><p><b>
Closing</b></p><p>
WMATA is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable federal law.<br>
This posting is an announcement of a vacant position under recruitment. It is not intended to replace the official job description. Job descriptions are available upon confirmation of an interview.</p></div></div></div></div></div></div></div></div>

Software Developer (Data & AI Engineer)

Indev

<p><b>Position Title: </b>Software Engineer</p><p><b>Location:</b> Washington DC. This is a mostly remote position with occasional trips to DOT HQ at the customer&rsquo;s discretion.</p><p><b>Clearance Requirements:</b> Public Trust or US Citizen eligible to obtain a Public Trust</p><p><b>Job Summary:</b> InDev is seeking a versatile Software Engineer to support PHMSA&rsquo;s data warehouse modernization and reporting initiatives. This role involves developing backend services, APIs, and automation tools to support data migration, reporting workflows, and system integration activities. As a Software Engineer, you&rsquo;ll work closely with clients, data engineers, and BI developers to manage the redevelopment of reports and dashboards from OBIEE to a modern Tableau-based environment. The ideal candidate will have experience in cloud environments, Tableau reports and dashboard development, and integrating automation tools for workflow optimization.</p><p><b>Key Responsibilities: </b></p><ul><li>Analyze and understand the existing OBIEE reports identified for migration.</li><li>Create automated migration tools that handle routine conversion tasks.</li><li>Recreate the reports in Tableau, ensuring functional equivalency and improvements where applicable.</li><li>Validate and test the migrated reports for accuracy, consistency, and performance.</li><li>Collaborate with data engineers and architects to ensure smooth data access and system interoperability.</li><li>Ensure software solutions adhere to data governance and security standards mandated by DOT and federal guidelines.</li><li>Troubleshoot and resolve technical issues impacting data access, reporting performance, and workflow automation.</li><li>Provide technical documentation and contribute to DevOps pipelines for continuous delivery of solutions.</li></ul><p><b>Qualifications: </b></p><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, Business, or a related technical field.</li><li>Minimum of 5 years of overall professional experience, including at least 3 years of specialized software engineering experience.</li><li>Proficiency in Python for backend development.</li><li>Experience using Tableau MCP's suite of developer tools</li><li>Skilled in building APIs, automation scripts, and integration tools.</li><li>Familiarity with Databricks, SQL, and ETL/data warehouse environments is a plus.</li><li>Knowledge of AI/ML tools and their integration into automation pipelines is desirable.</li><li>Experience working in Agile development environments, preferably on federal IT projects.</li><li>Strong problem-solving skills and the ability to troubleshoot complex software systems.</li><li>Solid understanding of data security, governance, and compliance in government IT systems.</li></ul><p><b>About Us: </b>At InDev, we're not just a company; we're a trailblazing force transforming the way data analysis shapes the future. As a dynamic player in the federal government sector, we're on a mission to empower agencies with cutting-edge IT solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. Let&rsquo;s innovate. www.indev.com</p><p><b>Why InDev: </b></p><ul><li>Innovative Environment: Join a team that thrives on creativity and innovation, where your ideas are not only heard but encouraged.</li><li>Meaningful Impact: Contribute to projects that directly impact federal agencies, driving positive change on a national scale.</li><li>Dynamic Collaboration: Work alongside diverse experts who are passionate about pushing boundaries and making a difference.</li><li>Agile Mindset: Embrace Agile methodologies that encourage flexibility, adaptability, and rapid growth.</li><li>Learning Culture: Enjoy ongoing learning opportunities and professional development to expand your skill set.</li><li>Cutting-edge Tech: Engage with the latest technologies and tools in the data integration landscape.</li></ul><p>If you're ready to embark on a journey of innovation, collaboration, and impact, InDev welcomes you to join our team as a Software Engineer. Let's shape the future together.</p><p>Job Type: Full-time</p><p>Pay: Up to $91,000.00 per year</p><p>Benefits:</p><ul><li>401(k) matching</li><li>Dental insurance</li><li>Health insurance</li><li>Life insurance</li><li>Paid time off</li><li>Referral program</li><li>Vision insurance</li></ul><p>Work Location: Hybrid remote in Washington, DC 20003</p>

Software Engineer

QinetiQ

<div>Company Overview:
<div>
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).</div><div></div><div><br>
QinetiQ US&rsquo;s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.</div><div></div><div><b><br>
Why Join QinetiQ US?</b></div><div></div><div><br>
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.</div>
Position Overview:
<div>
QinetiQ US seeks a highly skilled Senior Data Scientist to support a federal law enforcement agency client. This role is responsible for collecting, analyzing, and interpreting law enforcement data to drive informed operational decisions and improve data quality across agency systems. Your expertise in utilizing Databricks, Oracle (OBIEE/OAS), UiPath, Python programming, SQL, and data visualization will be crucial in identifying data quality issues, developing automated solutions, and providing valuable recommendations to federal stakeholders.</div><br>
<div></div>
Responsibilities:
<h3 class="jobSectionHeader"><b>Data Quality Analysis &amp; Engineering</b></h3><ul><li>
Apply appropriate mathematical methods to statistically analyze agency data quality issues using Python, R, and SQL</li><li>
Create tools for identifying, monitoring, and implementing data quality solutions utilizing Databricks, Oracle (OBIEE/OAS), UiPath, VBA, Python, R, and SQL</li><li>
Develop algorithms for automated data quality error remediation and validation processes</li><li>
Ensure accuracy of data uploaded to agency systems</li></ul><h3 class="jobSectionHeader"><b>
Advanced Analytics &amp; Automation</b></h3><ul><li>
Conceptualize, plan, design, and develop machine learning algorithms for data quality optimization and automated error detection</li><li>
Implement predictive models to identify potential data quality issues before they impact operations</li><li>
Perform multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining on law enforcement datasets</li><li>
Develop automation solutions using emerging tools including UiPath for repetitive data quality tasks</li></ul><h3 class="jobSectionHeader"><b>
Reporting &amp; Communication</b></h3><ul><li>
Produce executive-level summary reports and briefings of data quality analysis results using RMarkdown, Jupyter Notebook, or equivalent tools</li><li>
Create comprehensive audit reports for agency Dashboards ensuring accuracy, completeness, and usability standards</li><li>
Develop data visualizations and dashboards for federal stakeholders to monitor data quality metrics</li><li>
Present complex technical findings to federal staff and law enforcement personnel in accessible language</li></ul><h3 class="jobSectionHeader"><b>
Technical Support &amp; Collaboration</b></h3><ul><li>
Provide ad hoc after-hours support for emergency taskings requiring advanced analytics</li><li>
Collaborate with federal staff to identify and resolve historical data errors in law enforcement systems</li><li>
Support development of training materials and system documentation for data quality processes</li><li>
Serve as technical subject matter expert for cross-unit data quality initiatives</li><li>
Assist in the professional and technical development of fellow staff</li></ul>
Required Qualifications:
<div><b>
Education &amp; Experience:</b></div><ul><li>
Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, or related technical field</li><li>
Minimum 10 years of relevant data science and analytics experience</li></ul><div><b>
Technical Requirements:</b></div><ul><li>
Demonstrated proficiency in R and Python, and familiarity with other leading statistical and data analytical software and frameworks, including Databricks and Qlik</li><li>
Proven ability to produce executive level summary reports/briefings using RMarkdown or Jupyter Notebook</li><li>
Experience implementing the Data Analysis Epicycle and skilled in performing multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining</li><li>
Experience working with federal government categorical data from flat files, data warehouses, and external/academic sources</li></ul><div><b>
Government Experience:</b></div><ul><li>
Experienced working with federal law enforcement or homeland security categorical data from flat files, data warehouses, and external sources</li><li>
Direct experience interfacing with federal agencies as an employee or contractor, preferably at DHS</li><li>
Demonstrated experience supporting data quality initiatives in government systems</li><li>
Must have experience explaining complex technical concepts to federal government clients</li></ul><h1 class="jobSectionHeader"><b>
Security Requirements</b></h1><ul><li>
Ability to obtain and maintain appropriate federal security clearance.</li><li>
Background investigation required.</li><li>
Must be U.S. citizen.</li></ul>
Preferred Qualifications:
<h3 class="jobSectionHeader"><b>Specialized Experience</b></h3><ul><li>
Experience supporting federal homeland security initiatives</li><li>
Background in immigration enforcement, law enforcement operations, or related domains</li><li>
Experience with DHS systems and processes</li><li>
Familiarity with law enforcement operational requirements and data structures</li></ul><h3 class="jobSectionHeader"><b>
Professional Certifications (Optional)</b></h3><div><b>
Advanced Data Science:</b></div><ul><li>
Certified Senior Data Scientist (CSDS)</li><li>
Certified Analytics Professional (CAP)</li></ul><div><b>
Machine Learning and AI:</b></div><ul><li>
Microsoft Azure AI Engineer Associate or Azure Data Scientist Associate</li><li>
AWS Certified Machine Learning &ndash; Specialty</li><li>
Google Professional Machine Learning Engineer</li><li>
Databricks certified professional</li></ul><h3 class="jobSectionHeader"><b>
Additional Technical Skills</b></h3><ul><li>
Experience with ArcGIS and geospatial analysis</li><li>
Advanced knowledge of ServiceNow platform</li><li>
Experience with Microsoft Power Suite (Power BI, Power Apps, Power Automate)</li><li>
High-Performance Computing (HPC) experience</li><li>
Experience with GitHub and collaborative development practices</li></ul>
Company EEO Statement:<div></div><div><b><br>
Accessibility/Accommodation:</b></div><div>
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.</div><div></div><div><br>
QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</div></div>

Senior Data Scientist

<div>Company Overview:
<div>
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).</div><div></div><div><br>
QinetiQ US&rsquo;s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.</div><div></div><div><b><br>
Why Join QinetiQ US?</b></div><div></div><div><br>
If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.</div>
Position Overview:
<div>
QinetiQ US seeks a talented Mid-Level Data Scientist to support a federal law enforcement agency client. This role supports the collection, analysis, and interpretation of complex law enforcement data to drive data quality improvements and enhance operational efficiency for the agency.<br>
Working under the guidance of senior team members, you will utilize platforms such as Databricks, Oracle (OBIEE/OAS), UiPath, Python, R, VBA, and SQL to identify data quality issues, develop automated solutions, and extract insights from complex datasets supporting agency operations. You should be able to communicate technical findings effectively to federal government clients and law enforcement personnel.</div><br>
<div></div>
Responsibilities:
<h3 class="jobSectionHeader"><b>Data Quality Analysis &amp; Support</b></h3><ul><li>
Apply mathematical methods to statistically analyze agency datasets using R or Python to identify data quality issues and patterns</li><li>
Support development and implementation of predictive modeling for early detection of data quality problems</li><li>
Assist in developing algorithms for automated data quality validation and error remediation</li><li>
Support implementation of the Data Analysis Epicycle and assist with multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining on law enforcement data</li></ul><h3 class="jobSectionHeader"><b>
Technology Platform Support</b></h3><ul><li>
Work with platforms including: Databricks, Oracle (OBIEE/OAS), UiPath, VBA, Python, R, SQL, and data visualization tools</li><li>
Support development of automation tools for data quality monitoring and remediation</li><li>
Perform queries, conduct analysis, and produce reports utilizing SQL, Python, R, MS Access, and MS Excel</li><li>
Assist in creating and maintaining automated workflows using UiPath</li></ul><h3 class="jobSectionHeader"><b>
Data Engineering &amp; Integration</b></h3><ul><li>
Assist in development of data quality validation processes for agency systems</li><li>
Support work with federal law enforcement categorical data from flat files, data warehouses, and external sources</li><li>
Help maintain data accuracy and integrity processes for agency reporting systems</li><li>
Support extract, transform, load (ETL) operations with data quality checkpoints</li><li>
Assist in ensuring accuracy of data uploaded to UIP DQI Verify</li></ul><h3 class="jobSectionHeader"><b>
Reporting &amp; Communication</b></h3><ul><li>
Assist in producing executive-level summary reports of data quality analysis results using RMarkdown or Jupyter Notebook</li><li>
Support creation of audit reports for agency Dashboards ensuring accuracy, completeness, and usability standards</li><li>
Participate in monthly teleconferences with field offices and data quality POCs</li><li>
Create visualizations and dashboards that effectively communicate data quality metrics and trends</li></ul><h3 class="jobSectionHeader"><b>
DQI Operations Support</b></h3><ul><li>
Help identify potential agency data quality issues and support development of resolution methods</li><li>
Assist in addressing training gaps and providing recommendations for system usability improvements</li><li>
Support evaluation and resolution of historical data errors in law enforcement systems</li><li>
Contribute to development of training materials and documentation in Confluence</li><li>
Assist with monitoring and responding to agency mailbox inquiries</li></ul><h3 class="jobSectionHeader"><b>
Quality Assurance Support</b></h3><ul><li>
Support audits of agency Dashboards for accuracy, format, completeness, and usability</li><li>
Assist in validation of titles, footnotes, data sources, and underlying data</li><li>
Help leverage audit results to inform future data quality priorities</li><li>
Contribute to development of data quality standards and best practices</li></ul><br>
<div></div>
Required Qualifications:
<h3 class="jobSectionHeader"><b>Education &amp; Experience</b></h3><ul><li>
Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Information Systems, Business Analytics, or related technical field</li><li>
Minimum 3+ years of relevant data science and analytics experience</li></ul><h3 class="jobSectionHeader"><b>
Technical Skills</b></h3><ul><li>
Proficiency in Python, R, and SQL, with familiarity in statistical and data analytical software including Databricks and Oracle systems</li><li>
Experience with VBA and basic automation tools</li><li>
Ability to produce summary reports using RMarkdown or Jupyter Notebook</li><li>
Experience with data analysis methodologies and statistical techniques such as multiple correspondence analysis (MCA), principal component analysis (PCA), and association rule mining</li><li>
Experience working with government or enterprise data from various sources</li></ul><h3 class="jobSectionHeader"><b>
Federal Experience</b></h3><ul><li>
Interest in supporting federal law enforcement agencies and understanding of government data requirements</li><li>
Ability to communicate technical concepts clearly to federal government stakeholders and law enforcement personnel</li><li>
Understanding of data security and compliance requirements in government environments</li></ul><h1 class="jobSectionHeader"><b>
Security Requirements</b></h1><ul><li>
Ability to obtain and maintain appropriate federal security clearance.</li><li>
Background investigation required.</li><li>
Must be U.S. citizen.</li></ul>
Preferred Qualifications:
<ul><li>Experience supporting DHS operations or similar law enforcement data systems</li><li>
Experience with federal homeland security or immigration enforcement data initiatives</li><li>
Knowledge of data quality frameworks and best practices in government environments</li><li>
Experience with dashboard development and data visualization for law enforcement operations</li><li>
Familiarity with federal data governance and compliance requirements</li></ul><div><b>
Professional Certifications (Optional):</b></div><ul><li><b>
Advanced Data Science</b>: Certified Senior Data Scientist (CSDS); Certified Analytics Professional (CAP)</li><li><b>
Automation &amp; Integration</b>: UiPath Advanced RPA Developer; Oracle Analytics Cloud certifications</li><li><b>
Machine Learning and AI</b>: Microsoft Azure AI Engineer Associate; AWS Certified Machine Learning; Databricks Machine Learning Professional</li></ul>
Company EEO Statement:<div></div><div><b><br>
Accessibility/Accommodation:</b></div><div>
If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.</div><div></div><div><br>
QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.</div></div>

Data Scientist II

AppFolio

<div><p><b>What we&rsquo;re looking for:</b></p><p>
The <b>Site Reliability Engineer II - Data</b> who will contribute to our growing Data Engineering and Operations team. We work collaboratively to develop an infrastructure that ingests data from disparate sources and routes them to various target storage and applications, thus providing access to high-quality data to users, ranging from application developers interested in specific events to data analysts keen on business intelligence to data scientists training ML models..</p><div>
At AppFolio, we paddle as one. We ride and make waves together, with a relentless focus on building great products for the way our customers work and live today &ndash; and tomorrow. AppFolio is a destination organization where careers are made and accelerated. Here, innovation is a team sport.</div><p><b>
</b></p><p><b>
Your impact:</b></p><ul><li><p>
Design, build, and operate on next-generation data pipeline infrastructure</p></li><li><div>
Improve data architecture, quality, discoverability, and access policies to enable and enforce data governance</div></li><li><div>
Collaborate with engineers, data analysts, and scientists to ensure that our data infrastructure meets the SLOs of our data-intensive customers</div></li><li><div>
Develop techniques for monitoring the completeness, correctness, and reliability of our data sets</div></li><li><div>
Leverage agile practices, encourage collaboration, prioritization, and urgency to develop at a rapid pace</div></li><li><p>
Research, share, and recommend new technologies and trends</p></li></ul><p><b>
Qualifications</b></p><ul><li><p>
You have a passion for building a reliable, scalable, and fault-tolerant infrastructure.</p></li><li><div>
You have worked with various data sources in production, including change data capture systems, event sourcing, and clickstreams.</div></li><li><div>
You have industry experience working with real-time data technologies such as Apache Flink</div></li><li><div>
You care about work-life balance and want your company to care about it too; you'll put in the extra hour when needed, but won't let it become a habit.</div></li><li><p>
You want to work with a high degree of autonomy while collaborating on initiatives that are highly important to the company.</p></li></ul><p><b>
Must have</b></p><ul><li><p>
You have 3.5+ years of experience working with languages like Python or Ruby, Infrastructure as Code, configuration management, and monitoring tools</p></li><li><div>
Proficient in creating consumable tools for platform management</div></li><li><div>
Proficient in tooling orchestration utilizing CICD best practices with tools like CircleCI or Jenkins</div></li><li><div>
Experience with containers and container orchestration tools. Docker and Kubernetes experience</div></li><li><div>
Experience with AWS primitives(IAM, VPC, RDS, S3, MSK, EKS, etc.)</div></li><li><div>
You have excellent MySQL operational knowledge</div></li><li><p>
Bachelor's in Computer Science or other quantitative fields</p></li></ul><p></p><p><b>
Nice to have</b></p><ul><li><p>
Experience with Debezium connector is highly desirable</p></li><li><div>
Experience with Kafka, Kafka Connect, and its ecosystem is highly desirable</div></li><li><div>
Experience with clickstream tracking technology, e.g. Snowplow, is desirable</div></li><li><div>
Experience with large-scale Data Lakes and Lake Houses, especially with Apache Iceberg, is a plus</div></li><li><div>
Proficient in RBAC and Data Governance across multiple platforms and ecosystems(AWS, Snowflake, Kafka, etc.)</div></li><li><div>
Background in monitoring and maintaining cost management on the cloud (FinOps)</div></li><li><div>
Data science skills for analyzing data and communicating with ML engineers are a plus</div></li><li><p>
Proven mentoring experience to help develop peers</p></li></ul><p></p><div><b><br>
Compensation &amp; Benefits</b></div><p>
The base salary/hourly wage that we reasonably expect to pay for this role is: $104,000 to $130,000.</p><p>
The actual base salary/hourly wage for this role will be determined by a variety of factors, including but not limited to: the candidate&rsquo;s skills, education, experience, etc.</p><div>
Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses/commissions that you may be eligible for based on your role and/or employment type.<br>
<div>
#LI-KB1</div></div></div>

Site Reliability Engineer II - Data

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