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Data Engineer and Operations Analyst

Job Number: R0199554Data Engineer and Operations AnalystThe 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 big data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer 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.As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’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.Work with us to use big data for good.Join us. The world can’t wait.You Have:  • 5+ years of experience with application development• 5+ years of experience with designing, developing, operationalizing, and maintaining complex data applications at enterprise scale• 5+ years of experience with Python, SQL, Scala, or Java• 3+ years of experience with creating software for retrieving, parsing, and processing structured and unstructured data• 3+ years of experience with building scalable ETL and ELT workflows for reporting and analytics• Experience with creating solutions in a collaborative, cross-functional team environment• 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• TS/SCI clearance• Bachelor’s degreeNice If You Have:  • Experience with UNIX and Linux, including basic commands and Shell scripting• Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud• Experience with distributed data and computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka• Experience with working on real-time data and streaming applications • Experience with NoSQL implementation, including MongoDB or Cassandra• Experience with data warehousing using AWS Redshift, MySQL, or Snowflake • Experience with Agile engineering practices• Master's degree in Data or MathematicsClearance:  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.CompensationAt 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 $75,600.00 to $172,000.00 (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.Work ModelOur people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.• If this position is listed as remote or hybrid, you’ll periodically 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 needed for the specific role.EEO CommitmentWe’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.
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What You Should Know About Data Engineer and Operations Analyst, Booz Allen Hamilton

Are you a passionate Data Engineer and Operations Analyst looking for a role that combines cutting-edge technology with purpose? At Booz Allen, located in Sunrise Manor, NV, we are excited to offer you the chance to dive into the world of big data and unleash its potential for meaningful impact. In this crucial role, you will harness the power of IoT, machine learning, and artificial intelligence to transform both structured and unstructured data into valuable insights. Imagine yourself working on mission-critical projects ranging from fraud detection to cancer research and national intelligence. Here, you won't be just a cog in the wheel; you'll be shaping the future of data engineering. You'll deploy and develop robust pipelines while guiding a diverse team of analysts, developers, and other data engineers in a fast-paced, agile environment. Your expertise in Python, SQL, and scalable data applications will be your tools as you assess, design, build, and maintain efficient platforms that meet the needs of our clients. With over 5 years of experience in application development and a solid background in ETL and ELT workflows, you will be well-equipped to take on this challenge. Plus, the rewarding work environment at Booz Allen offers a competitive compensation package along with an array of benefits that support your overall well-being. Don’t miss this chance to use big data for good—join us and make a difference today!

Frequently Asked Questions (FAQs) for Data Engineer and Operations Analyst Role at Booz Allen Hamilton
What are the key responsibilities of a Data Engineer and Operations Analyst at Booz Allen?

As a Data Engineer and Operations Analyst at Booz Allen, you'll have the exciting responsibility of implementing data engineering activities that can significantly impact important missions. You will deploy and develop scalable data pipelines and platforms, manage the assessment and design processes, and guide a dedicated team of multidisciplinary professionals in a fast-paced environment. Your work will revolve around transforming large datasets into meaningful insights that serve missions like fraud detection and cancer research.

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What qualifications do I need to work as a Data Engineer and Operations Analyst at Booz Allen?

To thrive as a Data Engineer and Operations Analyst at Booz Allen, you should have at least 5 years of experience in application development and the design and maintenance of complex data applications. Proficiency in programming languages such as Python, SQL, or Java is crucial, along with experience in building scalable ETL and ELT workflows. A bachelor's degree is required, and obtaining a TS/SCI security clearance is essential for this role.

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What technologies will I work with as a Data Engineer and Operations Analyst at Booz Allen?

In the role of Data Engineer and Operations Analyst at Booz Allen, you'll engage with a variety of cutting-edge technologies. You'll be working with distributed computing tools such as Spark and Hadoop, cloud platforms like AWS and Microsoft Azure, and databases including NoSQL solutions like MongoDB. It's a fantastic opportunity to expand your tech stack while contributing to impactful projects!

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Can you describe the work culture at Booz Allen for a Data Engineer and Operations Analyst?

Booz Allen promotes a people-first culture that prioritizes flexibility and collaboration. Whether you work in person, remotely, or in a hybrid model, teamwork and communication are at the heart of the role. The organization values diverse perspectives and acknowledges exceptional performance through its recognition awards program, making it an enriching environment for Data Engineers and Operations Analysts alike.

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What is the compensation range for a Data Engineer and Operations Analyst at Booz Allen?

The compensation range for a Data Engineer and Operations Analyst at Booz Allen varies based on factors such as location, experience, and expertise. Typically, you can expect a projected salary between $75,600 and $172,000 annually, which reflects the value placed on your skills and contributions. Alongside competitive pay, Booz Allen also offers comprehensive benefits to support your overall well-being.

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Common Interview Questions for Data Engineer and Operations Analyst
Can you explain your experience with ETL processes as a Data Engineer?

When answering this question, highlight your specific experiences with extracting, transforming, and loading data. Describe projects where you built ETL workflows, the tools you used, and how these processes benefited the stakeholders involved. Providing concrete examples will demonstrate your expertise.

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What programming languages are you proficient in for data engineering?

Discuss your proficiency in programming languages relevant to data engineering, such as Python, SQL, or Java. Offer examples of how you have used these languages to build applications, solve data-related challenges, or develop efficient algorithms. This showcases your practical experience and versatility.

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How do you approach data quality and governance in your projects?

To tackle this question, explain your strategies for ensuring data quality and adherence to governance standards. Discuss techniques you use for data validation, monitoring processes, and collaboration with stakeholders to maintain a high standard of data integrity through actionable practices.

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What experience do you have with cloud platforms for data storage and processing?

Elaborate on your experience with cloud services like AWS, Azure, or Google Cloud. Mention specific projects where you leveraged these platforms for analytics, data storage, or real-time processing. This not only shows your familiarity with modern technologies but also your adaptability to innovative solutions.

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Describe your experience with structured and unstructured data.

Highlight your ability to work with both structured and unstructured data in your past roles. Provide examples of how you organized, processed, or analyzed diverse data types and the methodologies or tools you used. This illustrates your broad skill set in handling various data forms in a professional context.

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What is your experience with distributed computing frameworks like Spark or Hadoop?

Discuss your exposure to distributed computing and how you've executed tasks using frameworks like Spark or Hadoop. Share specific projects, the scale of data you handled, and the outcomes achieved, demonstrating your technical proficiency and understanding of large datasets management.

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How do you ensure your data pipelines are optimized for performance?

Explain your best practices for optimizing data pipelines, such as performance monitoring, indexing strategies, and choosing the right data processing approach. Highlight examples where you improved the efficiency or reduced the latency of data processing in previous roles.

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Can you provide an example of a challenging data issue you encountered and how you resolved it?

Share a specific instance where you faced a data-related challenge. Detail the problem, your process for identifying and analyzing it, and the solution you implemented. Addressing the complexities involved showcases your critical thinking and problem-solving abilities.

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How do you collaborate with cross-functional teams to deliver successful data solutions?

Discuss your experience working within diverse teams composed of analysts, developers, and clients. Highlight how you communicate effectively, share insights, and align objectives to ensure the successful delivery of data solutions, emphasizing the importance of team synergy.

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What are the latest trends in data engineering that you're excited about?

Mention current trends that resonate with you, such as advancements in automated data processes or the rise of machine learning in data analytics. Express your enthusiasm for continuing education and how you intend to integrate new trends into your role as a Data Engineer and Operations Analyst.

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Full-time, hybrid
DATE POSTED
December 5, 2024

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