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Remote Data Platform Engineer Jobs in Spring Valley, NY

Farther

AI-Native Data Platform Engineer

New York, NY · On-site +1

$125K - $150K/yr

The Role As an AI-Native Data Platform Engineer at Farther, you will design and own the canonical data foundations powering our financial AI systems. This role sits at the core of our platform ...

Match Group

Senior Data Platform Engineer

New York, NY · On-site +1

$186K - $223K/yr

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

Match Group

Senior Data Platform Engineer

New York, NY · On-site +1

$186K - $223K/yr

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

HHAeXchange

Platform Engineer

New York, NY · Remote

HHAeXchange is seeking a Platform Engineer to join our Data & AI Engineering team. Reporting to the ... Position is remote for candidates located within the NYC, DC-Baltimore, and Minneapolis metro areas.

Biohub

Senior Staff Data Platform Engineer

New York, NY · On-site +1

$241K - $338K/yr

As a Senior Staff Data Platform Engineer at Biohub, you'll be designing systems that ingest data from public repositories, transform heterogeneous biological formats into AI-ready datasets, combine ...

NAVA Software Solutions

Data Engineer - Remote

Manhattan, NY · On-site +1

$126K - $151K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... Familiarity with cloud-based data platforms, particularly AWS. Responsibilities : * Integrate into ...

Clera

Senior Software Engineer, Platform

New York, NY · Remote

$200K - $350K/yr

About the Role Join the platform team at a well-funded, early-stage AI data analytics startup ... Candidates must be willing and able to work in-office full-time. Remote or fully-distributed ...

Ramp

Software Engineer, Data Platform

New York, NY · Remote

$168K - $324K/yr

This role is particularly focused on building platforms that support the data science development lifecycle. You'll partner with applied scientists, AI engineers, Risk engineers, and other ML ...

DriveWealth

Data Engineer II

New York, NY · On-site +1

$145K - $165K/yr

Within it, the Data Platform Engineering team owns two critical pillars: * Data Ingestion ... remote work outside these locations. * Applicants must be authorized to work for any employer in ...

The Cypress Group

Lead Data Engineer

New York, NY · Remote

$200K - $250K/yr

Tech Lead - Data Platform | Remote A fast-growing financial technology company is seeking a Tech ... You'll work closely with software engineers, data scientists, quantitative analysts, and business ...

Phaidra

Senior Platform Engineer

New York, NY · Remote

$114K - $157K/yr

We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data ... Comfortable partnering across engineering, SRE, and security in an all-remote setting. * Aligned ...

Soda Data

Sales Engineer (Remote)

New York, NY · Remote

$100K - $130K/yr

Be the technical voice in the room - with Data Engineers, Heads of Data Platform, and Chief Data ... Location: Remote (US-based) * Benefits: Unlimited PTO, 401k, medical insurance Hiring process

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Showing results 1-20

All JobsData Platform Engineer JobsRemote Data Platform Engineer JobsRemote Data Platform Engineer Jobs in Spring Valley, NY

Remote Data Platform Engineer information

See Spring Valley, NY salary details

$45.1K

$131.4K

$179.9K

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

As of Jul 27, 2026, the average yearly pay for remote data platform engineer in Spring Valley, NY is $131,444.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,000.00 and $139,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Data Platform Engineer vs Data Engineer?

AspectRemote Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; experience with cloud platformsBachelor's in CS, Data Science, or related; experience with databases and ETL tools
Work EnvironmentRemote or hybrid, collaborating with data teams and cloud providersOn-site or remote, focusing on data pipelines and infrastructure
Industry UsageTech, finance, healthcare, and other data-driven sectorsSame industries, often overlapping roles
Search & Comparison IntentHigh overlap, often searched together due to similar skills

The Remote Data Platform Engineer focuses on building and maintaining cloud-based data platforms, ensuring scalability and performance. Data Engineers develop and manage data pipelines, databases, and ETL processes. While roles overlap in skills and industries, the Platform Engineer emphasizes cloud infrastructure, whereas Data Engineers concentrate on data processing and storage.

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

To thrive as a Remote Data Platform Engineer, you need expertise in data engineering, database management, and cloud platforms, usually supported by a degree in computer science or a related field. Familiarity with tools such as SQL, Python, Spark, AWS, Azure, and certifications like AWS Certified Data Analytics are highly valued. Strong problem-solving, communication, and self-motivation skills help you excel in remote, collaborative environments. These skills and qualities ensure the efficient design, operation, and scaling of robust data platforms that drive business insights and operations.

What are the typical collaboration methods for a Remote Data Platform Engineer working with cross-functional teams?

As a Remote Data Platform Engineer, you will frequently collaborate with data scientists, analysts, and software engineers through virtual meetings, project management tools, and shared documentation platforms. Effective communication is essential, as much of the teamwork happens asynchronously using tools like Slack, Jira, and Confluence. You may participate in regular stand-ups, sprint planning, and code reviews to ensure alignment across the team. Building strong relationships remotely often involves proactive updates and clear documentation to keep all stakeholders informed and projects moving smoothly.

What is a Remote Data Platform Engineer?

A Remote Data Platform Engineer is a professional who designs, builds, and manages large-scale data infrastructure and platforms, while working remotely. They are responsible for ensuring data is efficiently collected, stored, processed, and made accessible for analysis, often using cloud technologies and big data tools. These engineers collaborate with data scientists, analysts, and other engineers to maintain data pipelines and optimize system performance. Their work enables organizations to leverage data for business insights, all while enjoying the flexibility of remote work.
What are popular job titles related to Remote Data Platform Engineer jobs in Spring Valley, NY? For Remote Data Platform Engineer jobs in Spring Valley, NY, the most frequently searched job titles are:
What job categories do people searching Remote Data Platform Engineer jobs in Spring Valley, NY look for? The top searched job categories for Remote Data Platform Engineer jobs in Spring Valley, NY are:
What cities near Spring Valley, NY are hiring for Remote Data Platform Engineer jobs? Cities near Spring Valley, NY with the most Remote Data Platform Engineer job openings:
Remote Data Platform Engineer jobs near you
Staff Data Platform Engineer

Staff Data Platform Engineer

OXIO Corporation

New York, NY • On-site, Remote

Full-time

Posted 25 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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