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From Home Data Platform Engineer Jobs (NOW HIRING)

Charter Global, Inc.

Al Data Platform Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Support operationalization of new datasets from development through production deployment. Semantic ... Core Technical Skills: * 3-7 years of software engineering, data engineering, or platform ...

Tatari

Senior Data Platform Engineer

San Francisco, CA

$123K - $169K/yr

Magazine . Backed by an executive team of former founders and senior leaders from companies ... As a Data Platform Engineer, you will be responsible for the reliability, stability, and ...

Murmuration

Staff Data Platform Engineer

... you expect from others; * Champion secure data practices at a systemic level, identify ... A home office setup stipend for all new employees; * Monthly reimbursement for remote work expenses;

El Toro.com

Data Platform Engineer I

Louisville, KY · On-site

$110K - $132K/yr

From our Louisville, Kentucky headquarters, our patented (25 and counting) technology delivers ... Position Summary As a Data Platform Engineer I, you'll help build the pipelines, workflows, and ...

Tatari

Senior Data Platform Engineer

New York, NY · On-site

$116K - $157K/yr

Magazine. Backed by an executive team of former founders and senior leaders from companies ... As a Data Platform Engineer, you will be responsible for the reliability, stability, and ...

Tatari

Senior Data Platform Engineer

Los Angeles, CA

$112K - $154K/yr

Magazine . Backed by an executive team of former founders and senior leaders from companies ... As a Data Platform Engineer, you will be responsible for the reliability, stability, and ...

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

... from environments around the world. The Data Platform team builds the systems that capture every ... About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems ...

jobr.pro

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

... from environments around the world. The Data Platform team builds the systems that capture every ... About the Job As a Data Platform Engineer, Data Pipelines, you will design and build the systems ...

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

... from environments around the world. The Data Platform team builds the systems that capture every ... About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems ...

Pattern

Senior Data Platform Engineer

Lehi, UT · On-site

$99K - $135K/yr

Define and manage platform infrastructure as code, and build the self-healing, observable systems ... Mentorship opportunities from engineering leadership in Data and Architecture. * Broad exposure ...

Umbra

Staff Data Platform Engineer

Reston, VA · On-site

$119K - $143K/yr

Umbra is an American space technology company delivering advanced systems, from sensors to ... About the Job We are seeking a Senior/Staff Data Platform Engineer to lead our data infrastructure ...

Umbra

Staff Data Platform Engineer

Arlington, VA · On-site

$131K - $158K/yr

Umbra is an American space technology company delivering advanced systems, from sensors to ... About the Job We are seeking a Senior/Staff Data Platform Engineer to lead our data infrastructure ...

Far Coder

$78K - $106K/yr

Gemini is hiring a remote candidate for Senior Data Platform Engineer. This is a full time position. Work location: USA. The role typically involves technologies such as React, PostgreSQL, Terraform ...

Inficare Technologies

Platform Engineer

Phoenix, AZ · On-site

Job Title: Platform Engineer Location: Phoenix, AZ (Hybrid - 3 days onsite) Job Type: Contract ... Manage distributed messaging or big data platforms as needed (Kafka or Hadoop) * Ensure platform ...

VIA

Senior Data Platform Engineer

Somerville, MA · On-site

$115K - $157K/yr

As a Senior Data Platform Engineer at VIA, you'll bring together core data engineering skills with ... Ability to enjoy the best of both worlds with flexibility to work from home as needed, as well as ...

Burjline Builders

Work From Home Data Entry

$28 - $35/hr

Work From Home Data Entry Professional Northern Jet is seeking a meticulous and highly organised individual to join our team as a Work From Home Data Entry professional. This is a Full-Time, remote ...

New

Luxoft

Data Platform Engineer (Databricks)

Manhattan, NY · On-site

$126K - $151K/yr

Project description We are seeking a seasoned professional whose role sits at the intersection of platform engineering, data engineering, and data product development. You will build reusable ...

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All JobsRemote JobsFrom Home Data Platform Engineer Jobs

From Home Data Platform Engineer information

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

As of Sep 12, 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 a from home data platform engineer?

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?

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 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 cities are hiring for From Home Data Platform Engineer jobs?

Cities with the most From Home Data Platform Engineer job openings:

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The most popular types of Data Platform Engineer jobs are:

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From Home Data Platform Engineer jobs near you

Staff Data Platform Engineer

New York, NY • On-site, Remote

OXIO Corporation
Telecommunications • 51 - 200 employees
Learn more about OXIO Corporationexternal

Full-time

Re-posted 11 days ago

Job description

Staff Data Platform Engineer
OXIO is the world's first telecom-as-a-service (TaaS) platform. We are democratizing telecom and making it easily accessible for brands and enterprises to fully own and operate proprietary mobile networks designed to support their own customers needs. Our TaaS solution combines multiple existing networks into one single platform that can be seamlessly managed in the cloud as a modern SaaS offering. And it gets better - with full network access comes unparalleled business intelligence and insights to help enterprises better understand customer and machine (M2M) behavior. With a continuous focus on innovation, any company can build a powerful telecom presence with OXIO, and in addition help them glean unique customer insights like never before.
Job Description:
We're seeking a seasoned Staff Data Engineer to lead the design, development, and scaling of our modern data platform. This role is ideal for someone who thrives in building and designing robust data systems. You'll be instrumental in shaping our data infrastructure, driving governance, and building scalable APIs that power real-time and batch analytics.
You will also play a pivotal role in evaluating, designing, and migrating our organization toward a North Star data architecture-a future-proof foundation that supports scalable, secure, and intelligent data operations across the enterprise.
This role supports a wide range of analytics use cases across telecom networking, product intelligence, financial reporting, and internal/external data insights. You'll help build a comprehensive Customer 360 platform powered by ML models and behavioral data, enabling advanced use cases such as fraud detection, brand intelligence, and personalized customer engagement.
Key Responsibilities
  • Architect, build, and scale a unified data platform integrating internal and external sources into data lakes and warehouses
  • Design and implement streaming and batch data pipelines using tools like Spark, Airflow, and DBT
  • Lead infrastructure provisioning using Terraform and Kubernetes, ensuring scalable and secure deployments
  • Evaluate and drive the migration to our North Star data architecture, aligning platform capabilities with long-term business goals
  • Collaborate with cross-functional teams to define logging standards, data contracts, and consumption patterns
  • Drive best practices in data governance, privacy compliance (GDPR, CCPA), and metadata management
  • Build APIs and data services to support real-time activation and client-facing data sharing
  • Participate in strategic architectural decisions and long-term data roadmap planning
  • Evangelize modern data Platform & engineering practices across the organization
  • Mentor junior engineers and contribute to hiring and team growth

Required Qualifications:
  • 15+ years of experience in software engineering with a strong focus on data systems and platform architecture
  • 10+ years of experience building data solutions using data lakehouse architectures and self-serve data platforms that empower scalable analytics across teams
  • 10+ years of hands-on programming experience with Scala, Go, Python, and SQL, building robust, high-performance data systems
  • 5+ years of experience building scalable data solutions using Python, Spark, and Terraform
  • Proven experience building serverless and scalable ML infrastructure to support large-scale data processing, ideally in telecom or similarly high-throughput environments
  • Deep expertise in cloud-native data stacks (AWS, Databricks, Snowflake, BigQuery, Synapse)
  • Strong understanding of microservices architecture, event-driven systems (Kafka), and container orchestration (Kubernetes)
  • Experience building operational tools and defining best practices to improve operational efficiency and developer experience-including evaluating and adopting AI-based tools for engineering productivity
  • Experience with orchestration tools like Airflow or Prefect and transformation tools like DBT
  • Proficient in building and scaling APIs (REST/gRPC) for data access and activation
  • Familiarity with front-end technologies and frameworks (e.g., React) is a plus
  • Built distributed Kafka pub/sub model for data ingestion pipeline with queue workers deployed on AWS ECS
  • Automated monitoring, disaster recovery, CI/CD supported with filebeat/cloudwatch serverless monitoring
  • Hands-on experience with data visualization and BI tools (Tableau, PowerBI, Cibe.dev)
  • Strong grasp of data governance, compliance frameworks, and secure data sharing practices
  • Experience applying AI/ML and LLMs to data products and predictive analytics
  • Exceptional communication and leadership skills in fast-paced environments

What We Offer:
  • Competitive salary and stock option incentive program
  • Company paid healthcare
  • Flexible work arrangements
  • Company sponsored team-lunches and company retreats
  • International organization that enables you to work across boundaries, travel to different locations, and enjoy the dynamics of a rapidly growing startup
  • A diverse and inclusive team.
  • We welcome applicants from all backgrounds to apply regardless of race, ethnicity, age, disability status or other defining characteristics.

OXIO is committed to fostering a diverse, equitable, and inclusive workplace where all employees feel valued and empowered. We believe that diversity in all its forms drives innovation and creativity, and we strive to create an environment that reflects and celebrates the unique backgrounds, perspectives, and talents of our employees. We do not discriminate against any employee or applicant for employment based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable federal, state, or local law. We are dedicated to providing a work environment free from discrimination and harassment. We committed to ensuring that all qualified applicants have an equal opportunity to apply for job openings. If you need assistance or an accommodation due to a disability, please contact us at hr@oxio.io for more information.

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