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Contract Data Platform Engineer Jobs (NOW HIRING)

We're looking for a Data Platform Engineer to join the team responsible for the infrastructure, frameworks, and tools that power data and analytics across the company. In this role, you'll help build ...

Data Platform Engineer

Huntsville, AL · On-site

$110 - $150/hr

Data Platform Engineer Reference: 26-016 Job Type: Full-time Job Status: Interviewing Date Posted ... contracts, operating procedures, and recovery runbooks. * - Work directly with software, AI ...

Data Platform Engineer

Austin, TX · On-site

$113K - $136K/yr

Data Platform Engineer Location: Austin, TX or Sunnyvale, CA (Hybrid) Duration: 6 months (possibility of extension) Implementation Partner: Infosys End Client: To be disclosed JD: Job Summary We are ...

Data Platform Engineer

Eden Prairie, MN · On-site

$116K - $140K/yr

Data Platform Engineer Seeking an experienced Data Platform Engineer II to help build and improve enterprise data and analytics platforms in Google Cloud Platform (Google Cloud Platform) . Key ...

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Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Data Platform Engineer

Orlando, FL · Remote

$117K - $140K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Data Platform Engineer

Miami, FL · On-site

$100 - $130/hr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... contracts, SLAs, and versioned APIs * Expertise in Graph Ecosystems: Hands-on experience with Graph ...

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Data Platform Engineer

Miami, FL · Remote

$117K - $140K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... contracts, SLAs, and versioned APIs Requirements * Expertise in Graph Ecosystems: Hands-on ...

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Contract Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Aug 23, 2026, the average yearly pay for contract 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 Contract Data Platform Engineer vs Contract Data Engineer?

AspectContract Data Platform EngineerContract Data Engineer
Primary FocusBuilding and maintaining data infrastructure and platformsDeveloping and optimizing data pipelines and workflows
Skills & CertificationsCloud platforms, data architecture, scripting, certifications like AWS or GCPSQL, ETL tools, programming languages, data modeling
Work EnvironmentCollaborates with data platform teams, cloud environments, infrastructure focusWorks on data pipelines, analytics, and data processing tasks
Industry UsageUsed in organizations with complex data infrastructure needsCommon in data-driven companies focusing on data analysis and reporting

The Contract Data Platform Engineer primarily focuses on designing and maintaining data infrastructure and platforms, often working with cloud services and architecture. In contrast, the Contract Data Engineer concentrates on developing data pipelines and processing workflows. Both roles require strong data skills, but their focus areas differ, making them suitable for different project needs within data teams.

More about Contract Data Platform Engineer jobs

What cities are hiring for Contract Data Platform Engineer jobs?

Cities with the most Contract 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:

What states have the most Contract Data Platform Engineer jobs?

States with the most job openings for Contract Data Platform Engineer jobs include:

Infographic showing various Contract Data Platform Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

$95K - $105K/yr

Full-time

Re-posted 1 hour ago


Job description

Job Title:
Data Platform Engineer
Number of Positions:
1
Location:
Indianapolis, IN
Location Specifics:
Fully Remote
Job Summary:
Renaissance Benefits is hiring an experienced Data Platform Engineer to join our growing team!
The Data Platform Engineer helps scale Renaissance's data platform and integrate it across the organization. This role designs and builds the integration layer connecting the Microsoft Fabric-based data platform with the broader Azure ecosystem and API infrastructure. The position partners closely with the Data Platform Lead, AI Manager, and engineering teams to translate strategic direction into durable, scalable architecture and enable teams to consume platform capabilities reliably and independently.
What will this role entail?
  • Design and implement the integration layer between the Microsoft Fabric platform and Azure services, including Azure API Management, Azure Data Factory, Event Hubs, and Azure Databricks.
  • Define data contracts, API standards, and integration patterns that enable partner development teams to self-serve against the platform.
  • Establish scalable platform architecture that can be extended as organizational needs evolve.
  • Partner with the AI Manager to ensure the data platform supports current and future AI and machine learning initiatives.
  • Build and maintain robust data pipelines using Microsoft Fabric, Azure Data Factory, and related data platform tooling.
  • Implement data quality, governance, and lineage practices across the platform.
  • Drive platform reliability and performance by proactively identifying and resolving bottlenecks.
  • Evaluate and recommend tools, technologies, and process improvements that advance the data platform roadmap.
  • Perform other related duties as assigned.

Minimum Requirements:
  • Bachelor's degree in a related field preferred.
  • 5+ years of experience in data engineering, platform engineering, or a related technical role.
  • Experience with Microsoft Azure data services and integration tools.
  • Ability to design scalable data platforms, pipelines, integrations, and data models.
  • Strong communication skills with the ability to work across technical and business teams.
  • Self-starter with strong problem-solving skills and sound judgment.

Technical Qualifications
  • Experience with Microsoft Fabric, including OneLake, pipelines, and Lakehouse capabilities.
  • Familiarity with AI/ML data patterns and model pipeline support.
  • Experience with infrastructure-as-code tools such as Terraform or Bicep preferred.
  • Knowledge of API design, integration patterns, and platform enablement.
  • Interest in learning new tools and applying automation or AI-enabled solutions responsibly.

Base Salary Range: $95,000-105,000
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.