Data Engineer and Operations Analyst

4 weeks ago


Nellis Air Force Base, Nevada, United States Booz Allen Hamilton Full time
Job Summary

We are seeking a highly skilled Data Engineer and Operations Analyst to join our team at Booz Allen Hamilton. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining complex data applications at enterprise scale.

Key Responsibilities:

  • Design and develop scalable data pipelines and platforms
  • Collaborate with cross-functional teams to deliver high-quality data solutions
  • Develop and maintain complex data applications using Python, SQL, Scala, or Java
  • Work with data consumers to understand their needs and develop solutions to meet those needs

Requirements:

  • 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 degree

Nice to 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 Mathematics

Clearance:

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.

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 $75,600.00 to $172, 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 Model:

Our 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.

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.



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