Data Engineer

Phase2 Technology

Arlington (VA)

On-site

USD 62,000 - 141,000

Full time

14 days+

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Benefits offered by this job

Health Benefits
Life Insurance
Disability Insurance
Financial Benefits
Retirement Benefits
Paid Leave
Professional Development
Tuition Assistance
Work-Life Programs
Dependent Care

Job summary

An established industry player is seeking a skilled data engineer to leverage big data for impactful missions. In this dynamic role, you will design and develop scalable data platforms, ensuring that complex data applications are operationalized effectively. Collaborating with a diverse team, you will utilize your expertise in database design and data modeling to drive significant insights from structured and unstructured data. This position offers a unique opportunity to contribute to critical projects that range from fraud detection to cancer research. Join a forward-thinking company that values your contributions and supports your professional growth.

Qualifications

  • 5+ years in database design and data engineering.
  • Experience with Python and Advanced SQL for ETL workflows.
  • CompTIA Security+ Certification required.

Responsibilities

  • Implement data engineering activities on mission-driven projects.
  • Develop pipelines and platforms for organizing big data.
  • Guide a multi-disciplinary team in a fast-paced environment.

Skills

Database Design
Data Engineering
Python
Advanced SQL
Data Modeling
Data Lakes
ETL/ELT Workflows
Data Analysis
Cloud Environments
Machine Learning

Education

Bachelor's Degree in Software Engineering

Tools

AWS
Microsoft Azure
Google Cloud
Spark
Databricks
UNIX/Linux

Job description

Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence.

As a big data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.

Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients.

Work with us to use big data for good.

Join us. The world can’t wait.

You Have:

  • 5+ years of experience in database design, architecture, data modeling, and engineering to include scaling, monitoring, and operating data platforms

  • 5+ years of experience designing, developing, operationalizing, and maintaining complex data applications at enterprise scale

  • 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data utilizing data lakes

  • 3+ years of experience using Python and Advanced SQL to build scalable ETL/ELT workflows for reporting and analytics

  • Experience with relational databases and working in a cloud environment, like AWS, Microsoft Azure, or Google Cloud

  • Experience with distributed data and computing tools, including Spark and Databricks

  • Bachelor’s degree in Software Engineering

  • CompTIA Security+ Certification

  • Linux+ or OS Certification

Nice If You Have:

  • Experience with UNIX/Linux, including basic commands and Shell scripting

  • Experience conducting data architecture and ETL in or for an S&T mission-focused organization.

  • Experience breaking up existing stored procedures to create a multi-tiered architecture, including a robust data access layer

  • Experience with Machine Learning

  • Experience with Agile engineering practices

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret 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.

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 $62,000.00 to $141,000.00 (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.

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.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

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