Part Time Entry Level Data Analyst Jobs in Albuquerque, NM

Remote Work:
No
Job Number:
R0237241
Location:
Albuquerque,NM,US
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Data Engineer
The Opportunity:
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 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 data to impact important missions.
As a Data Engineer on our team, you'll implement data engineering activities and strategy on some of the most mission-driven projects in the industry. You'll design, deploy, and develop pipelines and platforms that organize and make disparate data meaningful.
Here, you'll work with a multi-disciplinary team of data analysts, engineers, scientists, electrical engineers, test engineers, software developers, and data consumers in a fast-paced, agile environment. You'll use your experience in analytical exploration and data examination while you help assess, design, build, and maintain scalable data platforms for your clients. You will be responsible for helping develop and maintain database systems, continually seeking opportunities to optimize the organization's data ecosystem, and building custom ETL and ELT workflows as necessary to address critical analytical questions.
What You'll Work On:

• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Implement and manage data governance practices, ensuring data quality, security, and compliance.
• Design, construct, install, test, and maintain highly scalable data management systems, ensuring they meet business requirements and industry practices.
• Employ a variety of languages and tools to marry systems together or try to hunt down opportunities to acquire new data from other systems.
• Interpret and analyze data from various source systems to support data integration and data reporting needs.
• Identify, design, and implement internal process improvements, including automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
• Develop and optimize database schemas and data models to support analytics and reporting.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our data products.
• Grow your communication and technical skills by merging consulting and big data to create data-centric solutions across the testing and evaluation industry.
• Stay updated with industry trends and emerging technologies to propose strategic improvements.

Join us. The world can't wait.
You Have:

• 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
• Experience with workflow orchestration and CI/CD for data workloads
• Experience implementing or contributing to logging, monitoring, alerting, and data validation for production pipelines
• Ability to obtain a Secret clearance
• Bachelor's degree

Nice If You Have:

• 2+ years of experience with PostgreSQL
• 1+ years of experience with AWS
• Experience with container orchestration platforms, preferably Kubernetes
• Experience with infrastructure-as-code, including Terraform, CloudFormation, or CDK
• Experience with PySpark or distributed data processing frameworks
• Experience with data quality frameworks or automated testing for data pipelines
• Knowledge of security and access controls for cloud-based data systems
• Secret clearance

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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. 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 $61,900.00 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. 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.
Candidate AI Usage Policy
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.

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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