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Live In Data Platform Engineer Jobs in Washington, DC

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA

$122K - $147K/yr

... Data Platform Engineer to join our team. If you are seeking a unique, challenging, and rewarding ... Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA · On-site

$122K - $147K/yr

... Data Platform Engineer to join our team. If you are seeking a unique, challenging, and rewarding ... Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal ...

Mpr Associates, Inc.

Data Platform Engineer

Alexandria, VA

$122K - $147K/yr

... Data Platform Engineer to join our team. If you are seeking a unique, challenging, and rewarding ... Founded in 1964, MPR has a wide and growing client base in the fields of power and energy, federal ...

Syndicus, Inc.

Platform Engineer (7031)

Columbia, MD · Hybrid

$163K - $213K/yr

... Data / Cloud technology. As a result, the candidate will be expected to work autonomously ... Work is performed in a hybrid environment with a great team. Requirements Essential Job ...

Real Soft, Inc.

Platform Engineer (1924)

Columbia, MD · On-site

We are looking for a Cloud Platform Engineer with experience in Cloud technology (AWS), Python ... in the schedule. Preferred Requirements * Prior experience or familiarity with DISA's Big Data ...

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All JobsLive In Data Platform Engineer JobsLive In Data Platform Engineer Jobs in Washington, DC

Live In Data Platform Engineer information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do live in data platform engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for live in data platform engineer in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

How much do data platform engineers make?

Data platform engineers typically earn a median salary ranging from $100,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in cloud platforms and big data tools can earn higher compensation, often exceeding $180,000 per year.

Can I make 200K as a data engineer?

A Live In Data Platform Engineer can potentially earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, data architecture, and big data tools, as well as in high-demand industries or senior roles. Compensation varies based on location, company size, and individual expertise, with senior or specialized engineers often reaching or exceeding this salary level.

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What engineers make $300,000 a year?

Senior data platform engineers, especially those with expertise in large-scale data systems, cloud infrastructure, and advanced programming skills, can earn $300,000 or more annually. High compensation often requires extensive experience, specialized certifications, and leadership responsibilities within organizations that rely heavily on data infrastructure.

What engineer makes $500,000 a year?

A Live In Data Platform Engineer can earn $500,000 annually, especially with extensive experience, specialized skills in cloud platforms, data architecture, and high-demand environments. Such compensation often includes base salary, bonuses, and stock options in large tech companies or startups with significant data infrastructure needs.
What are the most commonly searched types of Data Platform Engineer jobs in Washington, DC? The most popular types of Data Platform Engineer jobs in Washington, DC are:
What are popular job titles related to Live In Data Platform Engineer jobs in Washington, DC? For Live In Data Platform Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in Washington, DC look for? The top searched job categories for Live In Data Platform Engineer jobs in Washington, DC are:
Live In Data Platform Engineer jobs near you
Infographic showing various Live In Data Platform Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Mid-Level Data Platform Engineer (Python) - Palantir Foundry / with Security Clearance

Potawatomi Federal Solutions, LLC.

Washington, DC • On-site

$129K - $155K/yr

Other

Posted 11 days 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. #ClearanceJobs 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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