Data Engineer

Booz Allen Hamilton•Alexandria, VA

16d•$62,000 - $141,000•Remote

About The Position

Data Engineer The Opportunity: Are you a data professional ready to join a dynamic team cracking the government’s most exhilarating data puzzles? Does the idea of using data to justify the adoption of business transformation excite you? Do you enjoy partnering with decision-makers to understand data insights and develop solutions that help them better control costs, ensure basic accountability, anticipate the future, measure performance, and maintain optimal operations? If so, Advana is the place for you! Booz Allen is seeking experienced Data Engineers to join our Advana team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript, JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis.

Requirements

3+ years of experience within Data Engineering, Data Science, Data Analytics, Software Engineering, or DevOps
Experience with developing scalable ETL workflows or developing data pipelines
Experience with working with large datasets and leveraging big data technologies to process and analyze data efficiently
Experience with distributed data computing tools such as Spark, Databricks, Hadoop, Hive, AWS EMR, Jupyter Notebooks or Kafka
Experience with programming languages, including C++, JavaScript, JSON, SQL, or Python
Experience creating solutions within a collaborative, cross-functional team environment
Knowledge of data modeling and visualization, database design principles, and data governance practices
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
Secret clearance
Bachelor’s degree

Nice To Haves

Experience with Qlik, Qlik Sense, QVD, QlikView, or Qlik Production Application Standards (QPAS)
Experience with DoD or IC related clients
Experience with Advana platform
Experience with Agile engineering practices
TS/SCI clearance

Responsibilities

Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript, JSON, SQL, and Jupyter Notebooks.
Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
Maintain documentation for software applications, workflows, and processes.
Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.