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Part Time Data Engineer Jobs in Miami, FL (NOW HIRING)

Data Lake Engineer

Doral, FL · On-site +1

$99K - $225K/yr

Share Data Lake Engineer The Opportunity: For an organization to transform in today's digital world ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist

Doral, FL · On-site +1

$112K - $257K/yr

Azure AI Engineer Associate, or Certified Analytics Professional Certification Clearance ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software ... Interpret and annotate technical data to support AI model training and evaluation. * Collaborate ...

... data to identify operational and safety needs, preparing signal, ITS, and signing and pavement ... Arcadis offers benefits for full time and part-time positions. These benefits include medical ...

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Showing results 1-20

Part Time Data Engineer information

See Miami, FL salary details

$42.6K

$124.1K

$169.8K

How much do part time data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for part time data engineer in Miami, FL is $124,066.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,500.00 and $131,500.00 per year, depending on experience, location, and employer.

What types of projects and responsibilities can I expect as a part time data engineer?

As a Part Time Data Engineer, you might work on projects such as developing and maintaining data pipelines, optimizing database performance, and preparing data for analytics and reporting. Responsibilities often include extracting, transforming, and loading (ETL) data, collaborating with data analysts and scientists, and troubleshooting data-related issues. You may also help implement data quality checks or participate in cloud migration initiatives. The scope of your work will typically be focused and project-based, making sure your contributions have a tangible impact within a flexible schedule.

Are part time data engineers still in demand?

Part-time data engineers are still in demand as organizations seek flexible staffing for data management, analytics, and infrastructure projects. Skills in SQL, cloud platforms, and data pipeline tools remain valuable, and remote or flexible roles are increasingly available in the industry.

Can I work remotely as a part time data engineer?

Part time data engineers can often work remotely, especially if the employer supports telecommuting and the role involves tasks like data analysis, pipeline development, or cloud-based tools. Remote work arrangements depend on company policies, project requirements, and the need for collaboration or access to on-site resources.

What is a part time data engineer?

A Part-Time Data Engineer is responsible for designing, building, and maintaining data pipelines and databases on a reduced-hour basis. They work with structured and unstructured data to ensure efficient storage, retrieval, and processing, often collaborating with data analysts and scientists. This role is ideal for professionals seeking flexible work arrangements while still contributing to data infrastructure and analytics. Part-time data engineers may work as freelancers, consultants, or employees with reduced-hour contracts. Their responsibilities can vary based on company needs but typically involve ETL processes, cloud data management, and performance optimization.

What are the key skills and qualifications needed to thrive as a part time data engineer?

To thrive as a Part Time Data Engineer, you need strong programming skills (usually in Python, SQL, or Scala), a solid understanding of data warehousing concepts, and experience with ETL pipelines, typically supported by a relevant degree or equivalent experience. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, and relevant certifications such as Google Professional Data Engineer or AWS Certified Data Analytics, are highly valued. Effective time management, problem-solving abilities, and clear communication are standout soft skills for this flexible role. These skills are crucial because they enable part-time data engineers to efficiently deliver reliable data solutions while collaborating across teams in dynamic work environments.

What are the most commonly searched types of Data Engineer jobs in Miami, FL?

The most popular types of Data Engineer jobs in Miami, FL are:

What are popular job titles related to Part Time Data Engineer jobs in Miami, FL?

For Part Time Data Engineer jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Part Time Data Engineer jobs in Miami, FL look for?

The top searched job categories for Part Time Data Engineer jobs in Miami, FL are:

What cities near Miami, FL are hiring for Part Time Data Engineer jobs?

Cities near Miami, FL with the most Part Time Data Engineer job openings:

Infographic showing various Part Time Data Engineer job openings in Miami, FL as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $124,066 per year, or $59.6 per hour.

Data Lake Engineer

Booz Allen Hamilton, Inc.

Doral, FL • On-site, Remote

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 13 days ago


Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants


Job description


Remote Work:
No
Job Number:
R0245982
Location:
Doral,FL,US
Share job via:
Share
Data Lake Engineer
The Opportunity:
For an organization to transform in today's digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more efficient operations, yielding more growth. As a data architect, you know how to apply your creative-thinking and analytical mindset to help organizations manage their data assets. We're looking for a data architecture lead like you to solve complex challenges and deliver leading-edge solutions for warfighters.
As a data lake engineer on our team, you'll use your extensive technical expertise to lead the design of data architecture solutions for DoW data-driven projects. You'll resolve routine data architecture-related issues in collaboration with business analysts and technology teams by analyzing data architecture-related mission needs and making recommendations for optimization.
In this role, you'll share your technical expertise, introduce best practices, and use tools like ETL processes. You'll lead your team as it designs, defines, develops, and tests cloud solution components, and you'll serve as a liaison between clients and developers to ensure that requirements are met and solutions are delivered.
Join us. The world can't wait.
You Have:
  • Experience in Databricks platform administration, including workspace configuration, Unity Catalog, cluster performance tuning, and cloud integration
  • Experience in ETL data pipeline development, Delta Lake optimization, and AI/ML workflow integration
  • Experience in SysEngOps, DevSecOps, version control systems, such as Git, and CI/CD pipelines for automated deployment and governance
  • Experience in cloud security, role-based access control (RBAC), and compliance with DoW data policies across AWS, Azure, and GCP
  • TS/SCI clearance
  • Master's degree in Computer Science, Information Technology, Systems Engineering, Data Science, Business Administration, or Engineering Management and 2+ years of experience managing enterprise data architecture, Databricks administration, and cloud-based data platforms, or 11+ years of experience managing enterprise data architecture, Databricks administration, and cloud-based data platforms in lieu of degree

Nice If You Have:
  • Experience working within DoW/IC environments is preferred
  • Experience with RMF/ATO processes
  • AWS or Azure Cloud Certifications

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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. 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.
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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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914