2

Part Time Data Platform Engineer Jobs (NOW HIRING)

$77K - $176K/yr

Data Analytics Platform Engineer The Opportunity: Ever-expanding technology like IoT, machine ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

$17/hr

AND POSITION REQUIREMENTS The Population Research Institute is seeking applicants for part-time job of Data Extraction Programming, an upper-level undergraduate computer programmer or other qualified ...

Our AI-powered platform delivers proprietary insights across 250,000+ events, helping high-growth ... Review and resolve data errors in the database; collaborate with team on patterns and potential ...

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Platform Operations & Maintenance - Administer and monitor Microsoft Fabric (or Azure Synapse ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

Senior Platform Engineer

Buffalo, NY · Remote

$100K - $136K/yr

Build and support APIs, event driven integrations, and data exchange across internal and external ... or retail, part-time or full-time, we're invested in helping you achieve your career goals.

... a part-time Data Analyst to manage the transfer of client data files into our enterprise ... Collaborate as needed with programmers as needed to facilitate design and testing of custom ...

Data Analyst

Skillman, NJ · On-site

$18 - $23/hr

... a part-time Data Analyst to manage the transfer of client data files into our enterprise ... Collaborate as needed with programmers as needed to facilitate design and testing of custom ...

Data Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

As a Data Engineer, you'll help build and scale a cloud-native data platform that enables mission ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

next page

Showing results 1-20

Part Time Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 21, 2026, the average yearly pay for part time data platform engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Part Time Data Platform Engineer vs Data Engineer?

AspectPart Time Data Platform EngineerData Engineer
CredentialsRelevant certifications (e.g., cloud, data management)Similar certifications often required
Work EnvironmentPart-time, flexible schedules, remote optionsFull-time, office or remote
Industry UsageUsed in companies seeking flexible data supportCore role in data-driven organizations
Search & Comparison IntentOften searched for part-time data rolesStandard data engineering roles

The Part Time Data Platform Engineer typically works on specific projects with flexible hours, focusing on maintaining and optimizing data platforms. In contrast, a Data Engineer usually holds a full-time position responsible for building and managing data pipelines and infrastructure. While both roles require similar skills and certifications, their work schedules and employment types differ significantly.

What are the key skills and qualifications needed to thrive as a Part Time Data Platform Engineer, and why are they important?

To thrive as a Part Time Data Platform Engineer, you need strong skills in data modeling, database design, and programming languages such as SQL or Python, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), ETL tools, and certifications such as AWS Certified Data Analytics are highly valued. Effective problem-solving, attention to detail, and communication skills help you collaborate with teams and troubleshoot issues efficiently. These abilities ensure robust, scalable data solutions and help organizations leverage data effectively, even on a part-time basis.

How does a part-time Data Platform Engineer typically collaborate with full-time team members to ensure project continuity?

As a part-time Data Platform Engineer, effective communication and documentation are crucial for maintaining project continuity with full-time colleagues. You’ll often coordinate work through shared project management tools, regular team meetings, and detailed handoff notes to ensure seamless progress on tasks. It's common to focus on well-scoped projects or support roles, allowing you to contribute meaningfully within your available hours. Proactively syncing up with team leads and participating in code reviews also help align your work with overall platform goals and standards.

What does a Part Time Data Platform Engineer do?

A Part Time Data Platform Engineer is responsible for designing, building, and maintaining data infrastructure, such as databases and data pipelines, but works fewer hours than a full-time employee. They support the storage, processing, and analysis of large amounts of data, often collaborating with data scientists and analysts. Their role may include optimizing data workflows, ensuring data quality, and integrating new data sources, while balancing their workload to fit a part-time schedule.
What cities are hiring for Part Time Data Platform Engineer jobs? Cities with the most Part Time Data Platform Engineer job openings:
What are the most commonly searched types of Data Platform Engineer jobs? The most popular types of Data Platform Engineer jobs are:
Data Analytics Platform Engineer-Arlington,Virginia

Data Analytics Platform Engineer-Arlington,Virginia

BOOZ, ALLEN & HAMILTON, INC.

Springfield, VA

$77K - $176K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 22 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 57 rated business consultants


Job description

Data Analytics Platform 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-from fraud detection to cancer research to national intelligence.
As a data engineer at Booz Allen, you'll help build advanced technology solutions and 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 data for good.
Join us. The world can't wait.
You Have:
  • 3+ years of experience with data lake or analytics platforms such as Cloudera, Apache Iceberg or Snowflake
  • 1+ years of experience designing data pipeline architectures for security operations, including log collection, normalization, enrichment and routing
  • 1+ years of experience with defensive cyber operations, cybersecurity engineering or security platform architecture
  • Experience with Windows or Linux administration activities
  • Experience architecting detection engineering pipelines, threat hunting workflows or automated response capabilities
  • Experience in managing and administrating Apache Flink, Hue, Hive or Zepplin
  • Experience deploying platforms across cloud, on-premises and disconnected environments using Kubernetes or OpenShift
  • Knowledge of Zero Trust principles, DoD and IC Cybersecurity frameworks and federal compliance standards
  • TS/SCI clearance
  • HS diploma or GED

Nice If You Have:
  • Experience with stream processing or data brokering platforms such as Cribl, Kafka, Logstash or Fluentd
  • Experience with threat detection or anomaly-based behavioral analysis
  • Experience with DevSecOps CI/CD pipelines in IL5, IL6 or IL7 environments
  • Experience with Python or scripting languages for security automation

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 $77,600.00 to $176,000.00 (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.

What Booz Allen Hamilton employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Booz Allen Hamilton logo

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