Title : Data Engineer and Application Developer Location: Honolulu United States Job Description: Data Engineer and Application Developer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there'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'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-from fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you'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'll develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'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. Work with us to use data for good. Join us. The world can't wait. You Have: - 2+ years of experience utilizing programming languages, including C++, Java, or Python - 2+ years of experience developing and maintaining scalable data stores that supply big data in forms needed for business analysis - Experience creating solutions within a collaborative, cross-functional team environment - Experience developing scripts and programs for converting various types of data into usable formats and supporting project team to scale, monitor, and operate data platforms - Secret clearance - Bachelor's degree and 2+ years of experience with data engineering, including application, or software development in a professional work environment, or 3+ years of experience with data engineering, including application, or software development in a professional work environment in lieu of a degree Nice If You Have: - Experience in application development utilizing SQL or Scala - Experience with Palantir Foundry - Experience working with Maven Smart Systems - Experience with distributed data and computing tools, such as Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka - Experience working on real-time data and streaming applications - Experience with NoSQL implementation using MongoDB or Cassandra - Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake - Experience with advanced automation of software delivery, including infrastructure‑as‑code, such as Terraform or AWS CloudFormation, containerization, such as Docker, and orchestration, such as Kubernetes or EKS, aligned to DevSecOps practices Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual'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 $61,900.00 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's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Title; Data Engineer, Mid Location: Huntsville United States Job Description: Data Engineer, Mid The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there'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'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-from fraud detection to cancer research to national intelligence. As a Data Engineer at Booz Allen, you'll use your skills to help build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry. You'll help develop and deploy the pipelines and platforms that organize and make disparate data meaningful. Here, you'll learn from a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You'll grow your skills in analytical exploration and data examination while you support the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can't wait. You Have: - Knowledge of AWS cloud services - Ability to independently research and propose solutions to challenges - Top Secret clearance - Bachelor's degree and 2+ years of experience with data engineering concepts, including data collection, storage, processing, cleaning, or transforming, or 7+ years of experience with data engineering concepts, including data collection, storage, processing, cleaning, or transforming, in lieu of a degree Nice If You Have: - TS/SCI clearance with a polygraph - Master's degree - AWS Cloud Certifications - AWS Certified Data Engineer Certification - Python Certifications Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual'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 $61,900.00 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's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. - Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. - Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. - Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. DRE1

This is an open application job, which means the role is not currently available but will be in the future (we can't say when). If you applied to the role, you'd be invited to the 1st chat when you're a right fit, then the recruitment process stops there, and will be resumed once this role is opened. What In Marketing We Trust is all about We're a technical performance marketing agency, and we exist to solve tough problems in marketing. We bring an engineering mindset to complex marketing situations to deliver scalable performance that generates an exponential return on investment. Trust is in our name and is our guiding principle. To deliver on our purpose, we conduct our business by the following Code of Ethics: • Build trust through every interaction with every person • Always deliver in the best interest of our clients • Invest in the success of every team member • Build long-term relationships with our partners. - Delivering these foundational codes will fund our continued growth. Role Purpose As a Data Engineer, you will help clients make data-driven decisions by collecting, processing, analysing, and visualising data. You’ll work on medium to large-scale projects across multiple industries, helping clients unlock the full potential of their data. Role Accountability - Collect, process, and clean data from various sources. - Design and implement data models, ETL pipelines, and automation workflows. - Conduct in-depth data analysis and build predictive models to solve business challenges. - Develop reports and visualisations using BI tools such as Tableau, Google Data Studio, or Looker. - Work closely with clients to understand business problems and provide actionable insights. - Continuously improve internal workflows by automating repetitive tasks. - Support account expansion efforts by identifying opportunities to provide additional value to clients. How this role will be measured - Data pipeline quality - Delivery timeliness - Client impact - Reporting quality - Automation improvement Requires Knowledge & Skills Core Competencies - At least 6 years of experience as a Data Engineer. - Strong knowledge of statistical analysis and data modelling. - Proficiency in Python and SQL (and other relevant languages/tools). - Experience building ETL pipelines and transforming data from multiple sources. - Familiarity with BI tools such as Tableau / Looker / Google Data Studio. - Strong problem-solving and communication skills. Nice to Have - Experience with Google Analytics and Google Tag Manager. - GCP certification. - Knowledge of big data processing (e.g., Spark, Hadoop). - Familiarity with cloud platforms (AWS, GCP, Azure). ------- Position title: SEO Specialist Department: Digital Delivery Report to: Head of SEO Direct report: N/A Days/Hours: Full-time | Fixed Term Employment type: Full-time if you live and work in Australia with an AUS tax number. Contractor If you're outside of Australia and don't have an AUS tax registration number. Please see the difference in our FAQ. Targeted timezones/locations: LATAM Note: only applications within the targeted time zones/locations are processed.

Design and implement observational network studies using EHR data, conduct large-scale analyses for patient-level predictions, and develop reproducible analytic pipelines while collaborating with interdisciplinary teams in a dynamic research...