Data Engineer

Booz Allen Hamilton

Confirmed live today Low trust

Quick summary

Work type: On-site
Location: Albuquerque, NM
Employment: Full-time
Posted: 54 days ago
Freshness: Confirmed live today
Nearby: 38 roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $168k

$116k $218k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$208,293.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 1662 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 904 roles with salary data.

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At a glance

TL;DR · Data Engineer

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JOB TITLE: Data Engineer As a Data Engineer, you will join a multi-disciplinary team to implement data engineering strategies for mission-driven projects within the testing and evaluation industry. You will design, deploy, and maintain scalable data platforms, database systems, and custom ETL and ELT workflows to organize disparate data into meaningful insights. Your daily responsibilities include translating business requirements into technical solutions, managing data governance, and automating manual processes. You will utilize Python for data processing, work with relational databases for schema design, and manage containerized workloads using Docker. The role requires integrating data from RESTful APIs and external sources while employing cloud services, workflow orchestration, and CI/CD. You will also develop tools for data scientists to optimize data products and ensure high data quality and security.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

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Skills

ETL ELT Python PostgreSQL AWS Kubernetes Docker Terraform PySpark CI/CD RESTful APIs CloudFormation CDK Data Modeling Data Governance Logging Monitoring Alerting

What you'll do

Design, deploy, and maintain scalable data platforms and management systems.
Build and optimize custom ETL and ELT workflows to address analytical questions.
Develop and optimize database schemas and data models for reporting and analytics.
Implement and manage data governance practices to ensure quality, security, and compliance.
Automate manual processes and redesign infrastructure to improve data delivery and scalability.
Create data tools to assist data scientists in building and optimizing data products.
Integrate data from RESTful APIs and various external source systems.
Implement logging, monitoring, alerting, and data validation for production pipelines.

What we're looking for

Ability to obtain a Secret clearance.
2+ years of experience designing, building, and operating production ETL or ELT pipelines.
2+ years of experience with DBMS relational databases, including data modeling and schema design.
2+ years of experience using Python for data processing and automation.
1+ years of experience with cloud services.
Experience integrating data from RESTful APIs and external data sources.
Experience developing and deploying containerized workloads using Docker.
Bachelor's degree.

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