Data Engineer

Data Engineer The Opportunity: The ongoing expansion of technology such as IoT, machine learning, and artificial intelligence have resulted in more structured and unstructured data available than ever before. As a data engineer, you understand that organizing big data can lead to significant insights when it's drawn from a range of sources. We require a data professional like you who can help our clients discover solutions within their big data for impactful missions, including fraud detection, cancer research, and national intelligence. As a big data engineer at Booz Allen, you'll utilize your skills and experience to carry out data engineering tasks on some of the most mission-critical projects in the sector. You'll build and launch the pipelines and platforms that make varied data meaningful. In our company, you'll align with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a lively, agile setting. You'll strengthen your analytical exploration and data examination skills while aiding in the evaluation, design, development, and maintenance of scalable platforms for your clients. Work with us to leverage big data for good. Join us. The world can't wait. You Have: - At least 2 years of experience with Python and SQL - At least 2 years of experience with the whole ETL pipeline, including data acquisition, data preparation, and database architecture - Practical experience in creating software for retrieving, parsing, and processing structured and unstructured data - Practice in building scalable ETL or ELT workflows for reporting and analytics - Exposure to creating solutions within a cooperative, cross-functional team environment - Capacity to construct scripts and programs for converting various types of data into usable formats and support the project team to scale, monitor, and control data platforms - Secret security clearance - Bachelor’s degree Nice If You Have: - Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud - Experience with data engineering projects supporting data science and AI/ML implementation - Knowledge on containerization tools such as Docker and Kubernetes - Expertise with distributed data or computing tools like Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka - Past work on real-time data and streaming applications - Experience with NoSQL implementation using MongoDB or Cassandra - Familiarity with data warehousing, including AWS Redshift, MySQL, or Snowflake - Experience with Unix or Linux, including basic commands and Shell scripting - Experience with Agile engineering methods Clearance: Applicants chosen will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Create Your Career: Grow With Us Your professional development matters to us—that's why we offer various choices for you to progress in your career. With professional and leadership development options like upskilling programs, tuition reimbursement, mentoring, and networking opportunities sponsored by the firm, you can shape a unique and satisfying career trajectory on your terms. A Place Where You Belong: Diverse perspectives cultivate collective ingenuity. At Booz Allen, our culture of respect, equity, and opportunity means that you're free to bring your complete self to work here. With an array of business resource groups and other occasions for connection, you'll quickly develop your community. Support Your Well-Being: Our comprehensive benefits package embraces wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401 (k) match, and more. With these benefits, and the option for flexible schedules and remote and hybrid locations, we'll support you as you strive for a balanced, fulfilling life—at work and at home. Your Candidate Journey: At Booz Allen, we acknowledge that our people are what drives us, and we value relationships above all. We have compiled a list of resources to let you know what to expect as we establish a connection with you during your journey as a candidate with us. Compensation: At Booz Allen, we value your contributions, equip you with opportunities and choices, and support your overall well-being. Our offerings comprise health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition support, work-life initiatives, and dependent care. We have a recognition awards program that celebrates employees for exceptional work and a superior demonstration of our values. Both 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 who don't meet the threshold can only avail of selected offerings, excluding 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. At Booz Allen, salary 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 salary range for this position is $58,400.00 to $133,000.00 (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. Work Model: Our people-first approach puts a strong emphasis on flexibility and collaboration, whether that happens in person or remotely. - If this position is listed as remote or hybrid, you'll occasionally work from a Booz Allen or client site facility. - If this position is listed as onsite, you'll work with colleagues and clients in person, as required for the specific role. EEO Commitment: We're an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.