Data Migration Engineer

Booz Allen Hamilton Inc.
yesterday

Role details

Contract type
Permanent contract
Employment type
Part-time / full-time
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 225K

Job location

Tech stack

Java
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Unit Testing
Azure
Cloud Computing
Information Systems
Continuous Integration
Data Architecture
Information Engineering
ETL
Data Transformation
Data Migration
Data Security
Data Warehousing
Relational Databases
Database Development
Linux
DevOps
Distributed Data Store
Fraud Prevention and Detection
Github
Hadoop
Hive
Python
PostgreSQL
Machine Learning
Microsoft SQL Server
MongoDB
MySQL
NoSQL
Oracle Applications
Parsing
Performance Tuning
Ansible
Scala
Scaled Agile Framework
Shell Script
Software Deployment
Software Engineering
SQL Stored Procedures
SQL Databases
Unstructured Data
Workflow Management Systems
Enterprise Data Management
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Snowflake
Spark
Gitlab
GIT
Information Technology
Deployment Automation
Cassandra
Real Time Data
Kafka
Data Management
Amazon Web Services (AWS)
Redshift
Databricks
Control M

Job description

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

As a Data Migration Engineer at Booz Allen, you'll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You'll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful.

Requirements

  • 7+ years of experience in application development and designing, developing, operationalizing, and maintaining complex enterprise-scale data applications
  • 5+ years of experience developing sof tware and solutions for retrieving, parsing, and processing structured and unstructured data, including scalable ETL / ELT workflows for reporting and analytics
  • Experience developing scripts, programs, and automated processes to convert various data types into usable formats and support scalable, monitored, and reliable data platforms
  • Experience in data architecture, data engineering, and enterprise data migration, including leading modernization initiatives and migration efforts involving multiple applications or delivery teams
  • Experience with ETL design and optimization using Informatica Power Center , including Designer, Workflow Manager or Monitor, mapping or session development, and Informatica Developer for data transformation
  • Experience with relational databases such as SQL Server, Oracle, or PostgreSQL, including SQL development, data modeling, heterogeneous migrations, stored procedures, and performance tuning, and with Linux fundamentals, AWS cloud data architectures, including S3, RDS, or cloud-based processing or migration, and scalable distributed data platforms
  • Experience supporting CI / CD and DevOps practices using Git, GitLab, or GitHub, pipeline implementation, automated deployments, including Ansible, and workflow orchestration, including Control-M
  • Experience executing full data migration lifecycle activities, including unit testing, UAT support, reconciliation, validation, production deployment, and implementing data security controls
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree in Computer Science, Information Systems, or Engineering

Nice If You Have:

  • 10+ years of experience using Python, SQL, Scala, or Java
  • 5+ years of experience with a public cloud, including AWS, Micro sof t Azure, or Google Cloud
  • 5+ years of experience with distributed data or computing tools, including Spark, Databricks, Hadoop, Hive, AWS EMR, or Kafka
  • 5+ years of experience working on real-time data and streaming applications
  • 5+ years of experience with NoSQL implementation, including MongoDB or Cassandra
  • 5+ years of experience with data warehousing, including AWS Redshift, MySQL, or Snowflake
  • 5+ years of experience with UNIX / Linux, including basic commands and Shell scripting
  • 5+ years of experience with Agile engineering practices

Benefits & conditions

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. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

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 $99,000.00 to $225,000.00 (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. This posting will close within 90 days from the Posting Date.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

About the company

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. * Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. * Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. * Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

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