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Data Management Engineer jobs in United States
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Booz Allen Hamilton · 11 hours ago

Data Management Engineer

Booz Allen Hamilton is a leading consulting firm that focuses on advanced technology solutions. They are seeking a Data Management Engineer to help build technology solutions and implement data engineering activities, enabling clients to derive insights from large-scale data ecosystems.
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Responsibilities

Organizing data to yield pivotal insights from disparate sources
Developing and deploying pipelines and platforms that make disparate data meaningful
Supporting the assessment, design, developing, and maintenance of scalable platforms for clients

Qualification

Data lifecycle managementCloud-based storage systemsMetadata management toolsProgramming in PythonData observabilityAgile engineering practicesContainerized environmentsPublic Trust determinationBachelor’s degreeSoft skills

Required

3+ years of experience managing large-scale data ecosystems, including designing storage strategies such as intelligent tiering for cost optimization and performance
Experience with metadata management tools such as OpenMetadata, including setup, configuration, and integration into data pipelines to ensure discoverability, lineage tracking, and governance
Experience integrating storage and metadata strategies into Agile, cross-functional development teams to ensure alignment with real-time and batch processing pipelines
Knowledge of data lifecycle management strategies, including tiering data across hot, warm, and cold storage layers, retention policies, and archival workflows to support petabyte-scale and continuously-ingested datasets
Knowledge of cloud-based storage systems and intelligent tiering features, such as AWS S3 Intelligent-Tiering, or in Azure or GCP, including APIs and configuration
Knowledge of data observability advancements to monitor, assess, and optimize the performance of pipelines and data storage systems in distributed cloud environments
Ability to work with large datasets using programming languages such as Python to develop and optimize data organization, storage, and transformation workflows
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree in Computer Science or Data Engineering

Preferred

Experience configuring cloud-native tools for policies on intelligent tiering, such as automating data movement between storage tiers using Lambda, Step Functions, or equivalent workflows
Experience working with OpenMetadata integrations into existing tools like Apache Airflow, Kubernetes, and large-scale orchestration systems, ensuring metadata catalogs automatically synchronize with pipeline operations
Experience working with containerized environments, such as Docker or Kubernetes, and modern orchestration tools, such as Airflow or Prefect, to optimize both metadata workflows and storage pipelines
Experience working with implementing data governance frameworks such as access controls and lineage policies that integrate with OpenMetadata or equivalent metadata tools
Knowledge of geospatial datasets or scientific data formats such as NetCDF, GRIB, or HDF5 commonly used in weather or satellite data systems, and their implications for storage architecture
Knowledge of distributed query engines such as Presto, Trino, Hive, or Spark, tuned for performance on a lakehouse or intelligent tiering-enabled data lake architecture
Knowledge of real-time data streaming tools and integrations such as Kafka or AWS Kinesis, ensuring metadata tracks changes and tiering strategies accommodate time-sensitive ingestion workflows
Knowledge of cost modeling for cloud data storage
Knowledge of Agile engineering practices, including CICD pipelines and collaboration with data engineers, AI engineers, and product teams to iteratively deliver optimized data ecosystems
Ability to analyze usage patterns and recommend optimizations for performance, cost, and data accessibility at scale

Benefits

Health
Life
Disability
Financial
Retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care

Company

Booz Allen Hamilton

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Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering.

Funding

Current Stage
Public Company
Total Funding
$3.03B
2025-03-11Post Ipo Debt· $650M
2023-08-01Post Ipo Debt· $650M
2020-08-13Post Ipo Debt· $700M

Leadership Team

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Kristine Anderson
Chief Operating Officer
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Mike Wikan
Senior Technology Consultant/Creative Director
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Company data provided by crunchbase