Data Engineer, Staff
Company: Bigbear.ai
Location: Washington
Posted on: November 6, 2024
Job Description:
OverviewBigBear.ai is seeking a Data Engineer to work with one
of our clients in Washington, DC or in the Hampton Roads area. This
position 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.This position will
be based out of Washington, DC or Norfolk, VA and will offer remote
flexibility on an as needed basis. Eligible candidates will possess
an active Secret clearance.The primary role will be onsite 5
days/week for appropriate classification work.What you will do
- 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.What you need to have
- Secret clearance
- Bachelor's Degree
- Minimum of 3 years of experience as a Data Engineer, with
demonstrated experience creating data pipelines from scratch.
- High level of proficiency in ETL processes and demonstrated,
hands-on experience with technologies: Databricks, Python, Spark,
Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
- Strong problem-solving skills and ability to solve complex
data-related issues.
- Demonstrated experience working with large datasets and
leveraging big data technologies to process and analyze data
efficiently.
- Understanding of data modeling/visualization, database design
principles, and data governance practices.
- Excellent communication and collaboration skills, with the
ability to work effectively with cross-functional teams.
- Detail-oriented mindset with a commitment to delivering
high-quality results.
- Must be in the National Capital Region or Hampton Roads area
and available to work onsite (Crystal City, VA and Alexandria, VA
OR Norfolk, VA) 5 days per week, with potential for remote work on
secondary tasking.What we'd like you to have
- TS/SCI clearance or eligibility
- Knowledge of Qlik/Qlik Sense, QVD/QlikView, and Qlik Production
Application Standards (QPAS) is a significant plus.
- Recent DoD or IC-related experience.
- High level of Databricks proficiency.
- Previous experience with Advana is a plus.About
BigBear.aiBigBear.ai is a leading provider of AI-powered decision
intelligence solutions for national security, supply chain
management, and digital identity. Customers and partners rely on
BigBear.ai's predictive analytics capabilities in highly complex,
distributed, mission-based operating environments. Headquartered in
Columbia, Maryland, BigBear.ai is a public company traded on the
NYSE under the symbol BBAI. For more information, visit and follow
BigBear.ai on LinkedIn: @BigBear.ai and X: @BigBearai.
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Keywords: Bigbear.ai, Washington DC , Data Engineer, Staff, Engineering , Washington, DC
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