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Freelance Data Platform Engineer Jobs (NOW HIRING)

Figma

Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

We are looking for a Data Platform Engineer to join our Data Engineering team and help build the foundational systems that power Figma's next generation of AI-driven products and data experiences.

BetWarrior

Data Platform Engineer

Glendora, NJ · On-site

$110K - $132K/yr

Great people, bold ideas, and a sharp focus on user experience set us apart Purpose We're looking for a Data Platform Engineer to shape and scale BetWarrior's data ecosystem as a strategic capability.

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Apptronik

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

JOB SUMMARY Apptronik is seeking a Data Platform Engineer to join our Data Platform team. In this role, you will build and maintain the backend systems that ingest, organize, and serve the robotic ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

Vector Health AI

Data Platform Engineer

$117K - $140K/yr

About the Role We're looking for a Data Platform Engineer to join our early-stage team and take ownership of the data backbone of our product. This is a hybrid role that combines data engineering ...

BENNETT MOTOR EXPRESS

Data Platform Engineer

Mcdonough, GA · On-site

$104K - $125K/yr

Data Platform Engineer Department: Data & Analytics Location: Hybrid Employment Type: Full-Time Position Overview We are seeking an experienced Data Engineer to join our growing team and play a ...

Programmers.io

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Cloud & Data Platforms AWS Azure Databricks Familiarity with modern data platforms: Data lakes Data warehouses Snowflake, Redshift Data Engineering & Quality Understanding of: Data models, Data ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA

$122K - $147K/yr

General Join our engineering team as a Data Platform Engineer where you'll build robust data processing applications and analytics solutions. We're looking for someone who thrives at the intersection ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site

$135K - $155K/yr

Description Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven solutions? * Do you thrive on solving large-scale data challenges across structured ...

MyHR Partner, Inc

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Your Ideal Data Platform Engineer Job * Are you passionate about powering the data behind AI-driven solutions? * Do you thrive on solving large-scale data challenges across structured, semi ...

GSK

Senior Data Platform Engineer

South San Francisco, CA · On-site

$137K - $165K/yr

Data Platform Engineers take full ownership of delivering high-performing, high-impact data platform as products, and services, from a description of a problem customer Data Engineers are trying to ...

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All JobsFreelance Data Platform Engineer Jobs

Freelance Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do freelance data platform engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for freelance 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.

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, and why are they important?

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.

More about Freelance Data Platform Engineer jobs
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Freelance Data Platform Engineer jobs near you
Data/Platform Engineer

Data/Platform Engineer

Hexaware Technologies, Inc

Reston, VA

Other

Posted 4 days ago

Job description

Job Role- Data/ Platform Engineer
Location- Reston, VA
Duration- Full Time

Job Description
We are seeking a Data Platform Infrastructure Engineer with 6+ years of experience and strong AWS cloud skills and hands-on experience supporting modern data platforms such as AWS EMR, AWS Glue, and Databricks across development, test, and production environments.

This resource will be responsible for building, configuring, and maintaining secure, scalable, and production-ready data platform infrastructure. The role requires experience with AWS services, data processing platforms, infrastructure automation, CI/CD support, monitoring, resiliency, governance, and platform optimization.

Key Responsibilities

  • Design, implement, and manage cloud-based data platform infrastructure across development, test, and production environments
  • Work with AWS services such as IAM, VPC, S3, KMS, CloudWatch, Lambda, EMR, Glue, and related networking/security services
  • Provision, configure, and support data processing platforms including EMR, Glue, and Databricks
  • Implement secure networking, connectivity, encryption, and access controls
  • Manage identity, role-based access, secrets, and platform security configurations
  • Support data governance, cataloging, metadata management, and storage integration
  • Automate infrastructure deployment and configuration using Terraform
  • Support CI/CD processes for platform deployment and environment promotion in GitLab
  • Establish monitoring, alerting, logging, and operational support processes
  • Support resiliency, disaster recovery, backup, and recovery planning activities
  • Define and enforce cost, performance, security, and usage guardrails for the platform

Required Experience

  • Development Experience with Python and PySpark
  • Experience managing Databricks platform infrastructure
  • Experience with AWS services and developing solutions in the AWS cloud, including but not limited to:
    • EC2, Lambda, S3, EFS, Glue, EMR, CloudWatch, IAM
  • Experience with AI-assisted development tools and practices

Desired Experience

  • Strong written and verbal communication skills.
  • Self-driven individual with the ability to take initiative, demonstrate accountability, and assume responsibility.
  • Ability to work independently with minimal guidance or supervision.
  • Ability to learn quickly and master new technical and business areas.

ience supporting modern data platforms such as AWS EMR, AWS Glue, and Databricks across development, test, and production environments.

This resource will be responsible for building, configuring, and maintaining secure, scalable, and production-ready data platform infrastructure. The role requires experience with AWS services, data processing platforms, infrastructure automation, CI/CD support, monitoring, resiliency, governance, and platform optimization.

Key Responsibilities

  • Design, implement, and manage cloud-based data platform infrastructure across development, test, and production environments
  • Work with AWS services such as IAM, VPC, S3, KMS, CloudWatch, Lambda, EMR, Glue, and related networking/security services
  • Provision, configure, and support data processing platforms including EMR, Glue, and Databricks
  • Implement secure networking, connectivity, encryption, and access controls
  • Manage identity, role-based access, secrets, and platform security configurations
  • Support data governance, cataloging, metadata management, and storage integration
  • Automate infrastructure deployment and configuration using Terraform
  • Support CI/CD processes for platform deployment and environment promotion in GitLab
  • Establish monitoring, alerting, logging, and operational support processes
  • Support resiliency, disaster recovery, backup, and recovery planning activities
  • Define and enforce cost, performance, security, and usage guardrails for the platform

Required Experience

  • Development Experience with Python and PySpark
  • Experience managing Databricks platform infrastructure
  • Experience with AWS services and developing solutions in the AWS cloud, including but not limited to:
    • EC2, Lambda, S3, EFS, Glue, EMR, CloudWatch, IAM
  • Experience with AI-assisted development tools and practices

Apply