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Part Time Data Platform Engineer Jobs (NOW HIRING)

LEO&Co

Part Time Data Analyst (Remote)

New York, NY · Remote

... Engineering and Data Visualization related work * Associate's and/or Bachelor's Degree * Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and ...

Booz Allen Hamilton, Inc.

DevOps Platform Engineer

Rome, NY · On-site +1

$61K - $141K/yr

... s Platform Engineer The Opportunity: Today's dynamic technology landscape demands constant and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

DevOps Platform Engineer

Rome, NY · On-site +1

$61K - $141K/yr

... s Platform Engineer The Opportunity: Today's dynamic technology landscape demands constant and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

API Engineer

IL · On-site +1

$86K - $198K/yr

We are seeking an experienced API Platform Engineer to design, develop, and support enterprise ... Experience with SQL, Server-Side Development, Middleware, Application or Data Integration, API ...

Invesco

Senior Network Platform Engineer

Houston, TX · Hybrid

$99K - $136K/yr

As a Senior Network Platform Engineer, you will be a key technical contributor responsible for ... Part Time Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to ...

Booz Allen Hamilton, Inc.

Data Engineer

Fayetteville, NC · On-site

$77K - $176K/yr

As a senior Data Engineer at Booz Allen, you will design and build data platforms and pipelines ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

... platforms that organize and make disparate data meaningful. Join us. The world can't wait. You Have ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Data Platform Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Sep 12, 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 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 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 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.

More about Part Time Data Platform Engineer jobs

What are the most commonly searched types of Data Platform Engineer jobs?

The most popular types of Data Platform Engineer jobs are:

What are popular job titles related to Part Time Data Platform Engineer jobs?

For Part Time Data Platform Engineer jobs, the most frequently searched job titles are:

Part Time Data Platform Engineer jobs near you
Infographic showing various Part Time Data Platform Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Part Time Data Analyst (Remote)

New York, NY • Remote

LEO&Co
See more jobs at LEO&Coexternal

Part-time

Re-posted 26 days ago

Job description

A real estate services firm in New York City has a great Remote opportunity awaiting a new Data Analyst. In this role, the Data Analyst (Remote) will be responsible for ensuring the business makes better decisions through collection and usage of data.

Responsibilities:

The Data Analyst (Remote) will:

  • Perform ad-hoc, strategic analysis of structured and unstructured data across multiple data sources, reflecting global real estate markets and the operations of real estate assets
  • Develop data structures and pipelines to organize, collect, cleanse, and standardize data in order to generate insights and addresses reporting needs
  • Define data requirements and gathers and validates information, using judgment and statistical tests
  • Identify and troubleshoot data integration and integrity issues in cooperation with the appropriate business units
  • Design work flows and procedures
  • Identify opportunities to maximize data usage, applying modeling and optimization methods to develop new strategies and improve business performance
  • Develop ad-hoc analytics and reporting based on analysis of existing data sources, utilizing a variety of tools
  • Perform other duties, as needed

Qualifications:

  • 5+ years of experience in Quantitative Analysis, Data Modeling, Reporting, Relational Database tools, Data Warehousing, Database Architecture, and SQL, SAS, and/or SPSS
  • 3+ years of Technical experience in Software Development, Machine Learning or Statistical Analysis, Data Engineering and Data Visualization related work
  • Associate's and/or Bachelor's Degree
  • Well versed in knowledge of creating algorithms, identifying patterns and insights from structured and unstructured data sets utilizing graphs, trees and/or other data representation techniques
  • Knowledge of Financial terms and principles
  • Solid analytical and problem solving skills
  • Great interpersonal skills
  • Excellent communication skills (written and verbal)
  • Strong attention to detail
  • Highly organized

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