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Freelance Data Platform Engineer Jobs in Washington

ManTech

Senior Data Platform Engineer

Washington, DC · On-site

$109K - $181K/yr

MANTECH seeks a motivated, career and customer-oriented Senior Data Platform Engineer to join our team in Washington, D.C.. Responsibilities include but are not limited to: * Perform technical ...

New

Syndicus, Inc.

Platform Engineer (7031)

Columbia, MD · Hybrid

$163K - $213K/yr

Platform Engineer (7031)Columbia, MDDescription We are looking for a Cloud Platform Engineer with ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

Syndicus, Inc.

Platform Engineer (8017)

Columbia, MD · Hybrid

$164K - $213K/yr

Platform Engineer (8017)Columbia, MDDescription We are looking for a Cloud Platform Engineer with ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

Endictus

Platform Engineer

Columbia, MD · On-site

... using modern Big Data and cloud-based solutions. This role requires someone who can work ... similar platforms. * Programming experience in languages such as Python or Go. * Strong ...

Syndicus, Inc.

Platform Engineer (7029)

Columbia, MD · Hybrid

$129K - $229K/yr

Experience with programming skills with Go. * Have a solid understanding of Linux systems, hosts ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

IAMUS Consulting

(7031) Platform Engineer

Columbia, MD · On-site +1

$150K - $195K/yr

Description We are looking for a Cloud Platform Engineer with experience in Cloud technology (AWS ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

IAMUS Consulting

(7029) Platform Engineer

Columbia, MD · On-site +1

$131K - $171K/yr

Description We are looking for a Cloud Platform Engineer with experience in Cloud technology (AWS ... Prior experience or familiarity with DISA's Big Data Platform or other Big Data systems (e.g.

GRVTY

Platform Engineer

Chantilly, VA

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... As a Platform Engineer, you will be responsible for designing, implementing, and maintaining the ...

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Freelance Data Platform Engineer information

How do freelance data platform engineers typically manage collaboration with clients and remote teams?

Freelance Data Platform Engineers often collaborate with clients and distributed teams using project management tools, version control systems, and regular virtual meetings. Clear communication is essential for aligning on data requirements, setting expectations, and providing progress updates. It's common to work asynchronously, so documenting work and maintaining transparent workflows help ensure smooth handoffs. Building trust and reliability is key to fostering long-term client relationships in a freelance setting.

What are the key skills and qualifications needed to thrive as a freelance data platform engineer?

To thrive as a Freelance Data Platform Engineer, you need strong skills in data architecture, ETL processes, and cloud platform management, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, Spark, AWS, Azure, and certifications such as AWS Certified Data Analytics or Google Cloud Data Engineer are highly valuable. Effective client communication, problem-solving, and project management skills help you stand out, especially when coordinating independently with multiple stakeholders. These competencies ensure you can design scalable solutions, deliver projects efficiently, and build strong client relationships in a dynamic freelance environment.

What is a freelance data platform engineer?

A Freelance Data Platform Engineer is a professional who designs, builds, and maintains data infrastructure and platforms on a project or contract basis, rather than as a full-time employee. They work with clients to develop scalable and efficient data solutions, such as data warehouses, ETL pipelines, and cloud-based data systems. Their responsibilities often include integrating various data sources, ensuring data quality, and optimizing data workflows to support analytics and business intelligence. Freelance Data Platform Engineers typically have expertise in databases, cloud services, programming, and data architecture. They offer flexibility and specialized skills to organizations that need temporary or project-based support.

What is the difference between Freelance Data Platform Engineer vs Data Engineer?

AspectFreelance Data Platform EngineerData Engineer
CredentialsRelevant certifications (e.g., AWS, GCP, Azure), technical skillsSimilar certifications, technical skills, often full-time roles
Work EnvironmentIndependent, project-based, remote or on-siteFull-time, in-house or remote
Employer & Industry UsageFreelance platforms, consulting firms, startupsTech companies, finance, healthcare, large enterprises
Search & Comparison IntentYes, for freelance opportunities or project-based workYes, for full-time or contract roles

In summary, Freelance Data Platform Engineers typically work independently on short-term projects, requiring similar skills and certifications as Data Engineers but with a focus on flexibility and client-based work. Data Engineers often work full-time within organizations, focusing on building and maintaining data infrastructure.

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

The most popular types of Data Platform Engineer jobs in Washington are:

What are popular job titles related to Freelance Data Platform Engineer jobs in Washington?

For Freelance Data Platform Engineer jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Freelance Data Platform Engineer jobs in Washington look for?

The top searched job categories for Freelance Data Platform Engineer jobs in Washington are:

What cities in Washington are hiring for Freelance Data Platform Engineer jobs?

Cities in Washington with the most Freelance Data Platform Engineer job openings:

Freelance Data Platform Engineer jobs near you

Mid-Level Data Platform Engineer (Python) - Palantir Foundry / Jupiter Platform Support (Secret Clea

Performance Food Service

Washington, DC • On-site

Full-time

Re-posted 12 hours ago

Job description

Position Title: Mid-Level Data Platform Engineer (Python) - Palantir Foundry / Jupiter Platform Support
Location: National Capital Region (Remote Eligible)
Job Type: Full Time
Level: Mid-Level Analyst
Clearance: Secret
Job Summary
The Mid-Level Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupiter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications.
Key Responsibilities
Data Pipeline Development:
  • Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupiter platform.
  • Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets.
  • Implement transformation logic to prepare raw datasets for curated data layers and ontology population.

Data Platform Operations:
  • Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring.
  • Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability.
  • Maintain dataset lineage awareness and support platform data integrity practices.

Data Integration and Support:
  • Assist with integrating enterprise system data into the platform environment.
  • Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly.
  • Document pipelines and transformation logic to support maintainability of the platform.

Qualifications
Education:
  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent experience.

Experience:
  • 4-7 years experience in data engineering or platform engineering roles.
  • Experience developing Python-based data pipelines
  • Experience building ETL/ELT pipelines and data transformation workflows
  • Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments
  • Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred

Skills:
  • Strong Python development skills for data processing and pipeline development
  • Experience with SQL and data transformation frameworks
  • Familiarity with distributed data platforms and large-scale data environments
  • Strong troubleshooting and problem-solving skills in data pipeline operations
  • Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders

Career Level Alignment:
  • Mid-Level Engineer: 4-7 years supporting data platform engineering, pipeline development, and enterprise data integration initiatives.

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Redhawk Administrative Services, LLC is an equal opportunity employer. Redhawk Administrative Services, LLC does not discriminate in employment opportunities or practices on the basis of race, color, religion, sex, national origin, age, disability, marital status or any other characteristic protected by law.

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