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Live In Data Platform Engineer Jobs (NOW HIRING)

PlayStation Global

Data Platform Engineer

San Mateo, CA · On-site

$130K - $156K/yr

This role is ideal for an engineer with experience in DevOps, platform engineering, or cloud infrastructure who is interested in expanding into Data Engineering while supporting a modern data ...

Figma

Data Platform Engineer

San Francisco, CA · On-site +1

$134K - $162K/yr

This is a full-time role that can be held from one of our US hubs or remotely in the United States ... data platform, infrastructure, or machine learning engineering, with at least 1+ years working on ...

KKR

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

They are seeking a Data Platform Engineer to join their ADAPT Engineering team in Boston, responsible for designing and constructing data engineering capabilities that process large-scale financial ...

PrizePicks

Data Platform Engineer

Atlanta, GA · Remote

$100K - $150K/yr

As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks ... Where you'll live: * While we prefer candidates based in Atlanta, we are open to qualified ...

haku

Data Platform Engineer

Miami, FL · Remote

The Data Platform Engineer will operate our database ecosystem as critical infrastructure ... Company-paid parking in the heart of Brickell * State-of-the-art Apple computer and accessories

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 ... But unlike a pure data role, you'll also work directly in our full stack environment (Laravel, Vue ...

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 ...

Apogee

Data Platform Engineer

Minneapolis, MN · On-site

$80K - $100K/yr

This Data Platform Engineer will fill a critical role in enhancing and supporting the Data Analytics environment for prioritized Apogee Data Domains; educating our IT & Business Partners ...

Figma

Data Platform Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We are looking for a Data Platform Engineer to join our Data Engineering team and help build the ... Strong programming skills in Python or a similar language, with proven ability to build reliable ...

haku

Data Platform Engineer

Miami, FL · On-site

The Data Platform Engineer will operate our database ecosystem as critical infrastructure ... Company-paid parking in the heart of Brickell * State-of-the-art Apple computer and accessories

Living Spaces

Data Platform Engineer

La Mirada, CA · On-site

$115K - $138K/yr

Bachelor's degree in computer science, Information Technology, Data Engineering, Information Systems, or related field preferred. 5+ years of experience in database engineering, data platform ...

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All JobsLive In Data Platform Engineer Jobs

Live In Data Platform Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jul 12, 2026, the average yearly pay for live in 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 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.
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What cities are hiring for Live In Data Platform Engineer jobs? Cities with the most Live In 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:
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What job categories do people searching Live In Data Platform Engineer jobs look for? The top searched job categories for Live In Data Platform Engineer jobs are:
Live In Data Platform Engineer jobs near you
Infographic showing various Live In Data Platform Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Platform Engineer

Data Platform Engineer

Strategic Staffing Solutions

Charlotte, NC • Hybrid

$111K - $134K/yr

Other

Posted 10 days ago

Job description

Job Description STRATEGIC STAFFING SOLUTIONS HAS AN OPENING. This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position.

Visa Sponsorship is Available. The details are below. "Beware of scams.

S3 never asks for money during its onboarding process." Job Title: Data Platform Engineer (Python, PySpark) Contract Length: 12+ Months Location: CHARLOTTE, NC 28202 Some on Site Work- 3 days on site/ 2 days remote Ref# 245800 Seeking a Data Platform Engineer to support Financial Crimes Technology initiatives by building scalable data pipelines, improving data quality, and enabling analytics, reporting, and downstream applications. This role will help drive modernization efforts by transitioning from legacy solutions to in-house data platforms supporting AML, investigations, sanctions, fraud, and KYC use cases. Key Responsibilities Build and maintain batch and/or streaming data pipelines supporting financial crimes initiatives

Develop data transformations using Python and PySpark while optimizing performance for large-scale datasets. Partner with business and technical stakeholders to translate requirements into data models, mappings, and curated datasets. Support ingestion of data from multiple sources including transactional systems, case management platforms, and reference data sources.

Implement data quality checks, reconciliation processes, and controls to ensure auditability and reliability. Contribute to modernization initiatives involving migration planning, redesign, and replacement of legacy solutions. Create and maintain documentation for data pipelines, transformation logic, and operational runbooks.

Work within Agile delivery frameworks using Jira to support sprint execution and delivery timelines. Required Qualifications 5+ years of experience in data engineering, ETL development, or data platform development. Strong hands-on development experience with: Python PySpark / Apache Spark Advanced SQL Experience with Machine Learning model development, training, and tuning.

Experience working with large-scale datasets and performance optimization. Strong understanding of data concepts including data modeling, lineage, metadata, and governance. Experience supporting regulated environments with emphasis on controls and audit readiness.

Strong communication skills with the ability to work effectively with both engineering and business partners. Preferred Qualifications Experience with cloud platforms such as AWS, Azure, or GCP. Experience with storage and compute technologies including S3, ADLS, GCS, Spark clusters, or Databricks.

Experience with orchestration tools such as Airflow or similar scheduling platforms. Experience with streaming technologies such as Kafka. Experience with Databricks, Snowflake, or BigQuery.

Experience with CI/CD, Git, automation, pipelines, and release management. Knowledge of data governance and security practices including encryption, access controls, data masking, and PII handling. Prior experience supporting Financial Crimes domains including AML, sanctions, fraud, investigations, or KYC.

Domain Experience Experience supporting AML, Transaction Monitoring, Investigations, Sanctions Screening, Fraud, or similar risk and compliance functions. Familiarity with regulatory expectations and strong documentation discipline.

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