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From Home Data Platform Engineer Jobs (NOW HIRING)

Worth AI

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 ... Work From Home * Free Food & Snacks (Orlando) * Wellness Resources

Worth AI

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

As a Data Platform Engineer, you will design, build, and operate the core data services that power ... Work From Home * Free Food & Snacks (Orlando) * Wellness Resources

Tactile Medical

Data Platform Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema ... Design, build, and maintain data pipelines to ingest, transform, and load data from multiple source ...

Worth AI

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 ... Work From Home * Free Food & Snacks (Orlando) * Wellness Resources

RHP Staffing

Data Platform Engineer

Farmington, MI

$112K - $135K/yr

... home communities. With more than 380 communities throughout 33 states, we continue to expand our ... RHP Properties is seeking Data Platform Engineer to lead the design, implementation, and evolution ...

RHP Properties

Data Platform Engineer

Farmington Hills, MI · On-site

$112K - $135K/yr

... home communities. With more than 380 communities throughout 33 states, we continue to expand our ... RHP Properties is seeking Data Platform Engineer to lead the design, implementation, and evolution ...

Tactile Medical

Data Platform Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

The Data Platform Engineer will play a critical role in maturing and operationalizing this platform ... Design, build, and maintain data pipelines to ingest, transform, and load data from multiple source ...

Jobgether

Fully remote work environment with the flexibility to work from anywhere. * High degree of autonomy ... cloud platforms, AI-assisted engineering practices, and large-scale data systems. * Inclusive and ...

AEG

Data Platform Engineer

Atlanta, GA · On-site

$100K - $150K/yr

Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse ... As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks ...

PrizePicks

Data Platform Engineer

Atlanta, GA · On-site +1

$100K - $150K/yr

Our team of over 550 employees thrives in an inclusive culture that values individuals from diverse ... As a Data Platform Engineer, you will contribute to building the modern Data platform at Prizepicks ...

Cinder LLC

Data & Platform Engineer

Beaverton, OR · On-site

$107K/yr

Title: Data & Platform Engineer (Business Applications & Analytics) Pay Rate: $107,000+ DOE Location: Onsite Beaverton, OR Type: Direct Hire About Our Client Our client is a well-established ...

Quantix

Data Platform Engineer

San Francisco, CA

$134K - $162K/yr

Data Platform Engineer Location: San Francisco, CA Type: Direct Hire Our client in the San Francisco, CA area is looking for a Data Platform Engineer to join their team on a direct hire basis. This ...

Careers at KKR

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

... from complex, large-scale financial data. The successful candidate will be instrumental in ... Serve as the senior engineering lead across one or more strategic platform domains, partnering ...

Anysphere, Inc

Data Platform Engineer

New York, NY · On-site +1

$125K - $150K/yr

About the role Take data foundations from 0→1 on the bleeding edge of AI data. As one of Cursor's first Data Platform Engineers, you'll own the systems that make company-wide data work reliable ...

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All JobsFrom Home Data Platform Engineer Jobs

From Home Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do from home data platform engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for from home 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 From Home Data Platform Engineer vs From Home Data Analyst?

AspectFrom Home Data Platform EngineerFrom Home Data Analyst
Primary RoleDesigning, building, and maintaining data infrastructure and platformsAnalyzing data to generate insights and reports
Skills & CertificationsData engineering, SQL, cloud platforms, programming (Python, Java)Data analysis, SQL, visualization tools, statistical knowledge
Work EnvironmentCollaborates with data engineers, software developers, often in cloud environmentsWorks with business teams, data visualization tools, and reporting platforms
Industry UsageTech, finance, healthcare, where data infrastructure is criticalMarketing, sales, finance, and other sectors focusing on data insights

In summary, From Home Data Platform Engineers focus on building and maintaining the data infrastructure, while From Home Data Analysts interpret data to support business decisions. Both roles require strong SQL skills but differ in technical depth and focus areas.

What are From Home Data Platform Engineers?

From Home Data Platform Engineers are professionals who design, build, and maintain the infrastructure and tools that allow organizations to collect, store, process, and analyze large volumes of data, all while working remotely. They work with cloud platforms, databases, and data pipelines to ensure data is accessible, reliable, and secure for business needs. Their role often involves collaborating with data scientists, analysts, and other engineers to support data-driven decision-making and optimize data workflows from a home office or remote location.

What are the key skills and qualifications needed to thrive as a From Home Data Platform Engineer, and why are they important?

To thrive as a From Home Data Platform Engineer, you need a strong background in computer science, data architecture, and cloud platforms, often supported by a relevant degree and experience with large-scale data systems. Proficiency with technologies like SQL, Python, Spark, Hadoop, and cloud services such as AWS, Azure, or GCP, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills ensure reliable, scalable data infrastructure and seamless collaboration, which are critical to supporting business analytics and decision-making remotely.

What are some common challenges faced by a From Home Data Platform Engineer, and how can they be addressed?

As a From Home Data Platform Engineer, you may encounter challenges such as managing complex data pipelines remotely, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it’s important to utilize robust version control systems, follow best practices for data governance, and leverage collaboration tools like Slack or Jira for regular updates and troubleshooting. Additionally, setting up secure remote access and automated monitoring can help maintain the integrity and performance of data platforms while working from home.
What cities are hiring for From Home Data Platform Engineer jobs? Cities with the most From Home 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 From Home Data Platform Engineer jobs? States with the most job openings for From Home Data Platform Engineer jobs include:
From Home Data Platform Engineer jobs near you

Data Platform Engineer

Worth AI

Orlando, FL • On-site, Remote

$106K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago

Job description

Worth AI, a leader in the computer software industry, is looking for a talented and experienced Data Platform Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.
As a Data Platform Engineer, you will design, build, and operate the core data services that power our products and analytics. You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality data to internal customers (data science, analytics, product, and other engineering teams) and external partners.
You'll be part of a small, high-impact team that treats the data platform as a product with strong SLAs, and reliable self-service for internal and external users.
Responsibilities
What you'll do:
  • Architect and implement entity resolution logic to de-duplicate and link disparate data points into unified "Golden Records" for businesses and individuals
  • Design and maintain a high-performance global business knowledge graph and ontology to map complex ownership chains, UBOs, and hidden risk relationships across international borders
  • Implement a hybrid storage strategy that bridges graph databases for relationship mapping with document and search stores for rich metadata and adverse media content
  • Optimize the platform for real-time risk assessment, ensuring the ability to traverse multiple levels of ownership in milliseconds to support automated "Go/No-Go" onboarding decisions
  • Design and build scalable data services and APIs for ingesting, transforming, and serving data across the company
  • Develop and maintain batch and streaming data pipelines using modern data processing frameworks and AWS cloud-native tooling
  • Own the reliability, performance, and API first data platform, including monitoring, alerting, and on-call where appropriate
  • Implement best practices for data modeling, quality, lineage, and governance to ensure trustworthy, well-documented datasets
  • Work closely with data scientists, analysts, and application engineers to understand their needs and translate them into robust platform capabilities
  • Drive automation and standardization through CI/CD, model as a service, and reproducible environments
  • Help define and evolve the architecture of our data platform as a true internal service with clear contracts, SLAs, and versioned APIs

Requirements
    • Expertise in Graph Ecosystems: Hands-on experience with Graph databases (e.g., Neo4j, AWS Neptune, or TigerGraph) and query languages like Cypher or Gremlin
    • Identity & Linkage Mastery: Proven experience with Entity Resolution or Record Linkage (e.g., using tools like Senzing, Quantexa, or custom probabilistic matching models)
    • Schema Design: Ability to design flexible ontologies that handle evolving regulatory data (e.g., changing PEP definitions or Sanction list formats)
    • API Performance for Graphs: Experience building GraphQL or REST APIs specifically optimized for graph traversals and deep-tree lookups
    • Experience building centralized data platforms or "data-as-a-service" offerings at scale (e.g., at a large tech or cloud-native company)
    • Strong software engineering skills in at least one language commonly used for data and services (e.g., Python, Java, Go, Rust)
    • Hands-on experience building data pipelines and ETL/ELT workflows on a major cloud provider (AWS preferred)
    • Experience with modern data stack tools such as Spark/Flink, Kafka/Kinesis, Airflow/managed schedulers, and data warehouses (e.g., Snowflake, Redshift, BigQuery, Databricks)
    • Familiarity with DevOps practices: CI/CD, containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform)
    • Strong focus on observability (metrics, logs, traces), resilience, and building early warning signals
    • Comfort collaborating cross-functionally and communicating clearly with both technical and non-technical stakeholders

Nice to Have
    • Background supporting machine learning or real-time decisioning use cases from a platform point of view
    • Compliance Domain Knowledge: Understanding of AML, CTF, and KYC/KYB data structures (e.g., LEIs, ISO 20022)
    • Geospatial Data: Experience handling global address normalization and geospatial indexing for risk detection

** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida
Benefits
    • Health Care Plan (Medical, Dental & Vision)
    • Retirement Plan (401k, IRA)
    • Life Insurance
    • Flexible Paid Time Off
    • 9 paid Holidays
    • Family Leave
    • Work From Home
    • Free Food & Snacks (Orlando)
    • Wellness Resources

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