ZipRecruiter

Log In

2

Remote Data Platform Engineer Jobs (NOW HIRING)

Virtuous Software

Lead Data Platform Engineer

Phoenix, AZ · On-site +1

$113K - $136K/yr

We're hiring a Lead Data Platform Engineer to design, build, and own the systems that power our data ecosystem. This role is ideal for a highly motivated self-starter who is comfortable with ...

JDA

Principal Data Platform Engineer

Scottsdale, AZ · Remote

US Remote (Preference given to Dallas, TX or Scottsdale, AZ candidates) Synonymous Business Title (s): Business Analytics Director Overview: Blue Yonder is seeking a Principal Data Platform Engineer ...

JDA

Principal Data Platform Engineer

Dallas, TX · Remote

US Remote (Preference given to Dallas, TX or Scottsdale, AZ candidates) Synonymous Business Title (s): Business Analytics Director Overview: Blue Yonder is seeking a Principal Data Platform Engineer ...

Nextgen

Senior Data Platform Engineer

$108K - $147K/yr

The Senior Data Platform Engineer is responsible for the architecture, engineering, administration, security, reliability, and continuous modernization of NextGen's cloud data platform. The role ...

Murmuration

Staff Data Platform Engineer

The Staff Data Platform Engineer is one of the key subject matter experts for datastores. The ... A flexible remote work environment; * A home office setup stipend for all new employees; * Monthly ...

Medium

Senior Data Platform Engineer

$108K - $147K/yr

About the Role We're looking for a Senior Engineer to play a key role in Medium's Data Platform ... Working with a fully distributed team: We're fully remote and have teammates across the U.S ...

Medium

Senior Data Platform Engineer

$108K - $147K/yr

About the Role We're looking for a Senior Engineer to play a key role in Medium's Data Platform ... Working with a fully distributed team: We're fully remote and have teammates across the U.S ...

Bcbsri

Senior Data Platform Engineer

Providence, RI · On-site +1

$102K - $163K/yr

It's why we offer flexible work arrangements that include remote and hybrid opportunities and paid ... Engineer database platform solutions that align with enterprise security, data governance ...

Honor

Staff Data Platform Engineer

Austin, TX · Remote

... Staff Data Engineer to help shape the future of Honor's data platform. This role is focused on ... We use national average to determine pay as we are a remote first company. Individual pay is based ...

Inovalon

Staff Cloud Data Platform Engineer

$140K - $170K/yr

The Staff Cloud Data Platform Engineer owns and evolves Inovalon's Snowflake data platform, with a focus on reliability, performance, automation, security, and cost optimization. This is a platform ...

Inovalon

Staff Cloud Data Platform Engineer

The Staff Cloud Data Platform Engineer owns and evolves Inovalon's Snowflake data platform, with a focus on reliability, performance, automation, security, and cost optimization. This is a platform ...

Deloitte

$58.50 - $76/hr

Dein Impact: Als Senior Cloud Data Platform Engineer (m/w/d) gestaltest, entwickelst ... B. Vertrauensarbeitszeit und EU Remote Working Vielfaltige Gestaltungsspielraume und aktive ...

previous pagenext page

Showing results 21-40

All Jobsremote JobsTechnology JobsSoftware JobsSystems Software Engineer JobsRemote Data Platform Engineer Jobs

Remote Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Sep 8, 2026, the average yearly pay for remote 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 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 the key skills and qualifications needed to thrive as a remote data platform engineer?

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 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.

More about Remote Data Platform Engineer jobs

What cities are hiring for Remote Data Platform Engineer jobs?

Cities with the most Remote 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 Remote Data Platform Engineer jobs?

States with the most job openings for Remote Data Platform Engineer jobs include:

What job categories do people searching Remote Data Platform Engineer jobs look for?

The top searched job categories for Remote Data Platform Engineer jobs are:

Remote Data Platform Engineer jobs near you
Infographic showing various Remote Data Platform Engineer job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Lead Data Platform Engineer

Virtuous Software

Phoenix, AZ • On-site, Remote

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 27 days ago

Key responsibilities

  • Design, build, and own the systems that power the company's data ecosystem, including data models, metadata, and access patterns.

  • Implement and maintain role-based access controls, data governance patterns, and ensure data security and compliance standards are met.

  • Build and maintain CI/CD pipelines, testing strategies, and deployment patterns to ensure data platform accuracy, security, and reliability.

Job description

Position Summary
Virtuous is evolving its data platform into an AI-ready foundation that powers trusted decision-making and self-service analytics across the company.
We're hiring a Lead Data Platform Engineer to design, build, and own the systems that power our data ecosystem. This role is ideal for a highly motivated self-starter who is comfortable with ambiguity and thrives at the intersection of systems design, business semantics, and AI enablement.
This is not a traditional data engineering role focused on building one-off pipelines, dashboards, or ad hoc reports. Success in this role comes from designing and building durable platform capabilities - security models, access patterns, cost controls, and shared data foundations - that enable teams (and AI systems) to safely and confidently use data at scale.
You'll work closely with the Director of Data Operations as well as our Finance, Product, Engineering and Security Teams to ensure our data platform is accurate, governable, and ready to support AI-enabled workflows across the company.
What You'll Build & Own
Data Platform & AI-Enablement
  • Own the evolution of Virtuous's data platform, primarily on Snowflake and dbt, as a secure, scalable, and AI-ready system.
  • Design data models, metadata, and access patterns that support natural-language querying and AI-assisted analysis.
  • Partner with Data Operations and Teams across the company to ensure data structures are accurate, reusable, and aligned with business definitions.
  • Prepare data foundations that allow AI tools to deliver consistent, timely, and trustworthy answers.
  • Ensure AI systems access data exclusively through governed service accounts and role-scoped permissions, with query activity auditable and restricted according to enterprise data classification and access standards.
Access, Trust & Governance by Design
  • Architect and implement role-based access controls within Snowflake and related data systems (including row- and column-level security), ensuring enforcement aligns with enterprise IAM standards, approved access policies, and centralized identity governance processes.
  • In partnership with Security Operations and IT, translate approved enterprise access and compliance policies into enforceable platform-level controls, and maintain technical configurations to ensure ongoing alignment with those standards.
  • Ensure all platform-level access controls integrate with the enterprise identity provider (SSO, SCIM, role lifecycle management), and support automated provisioning, deprovisioning, and periodic access certification processes.
  • Build governance patterns that are enforced by design - not by manual process.
  • Support periodic access reviews and control validation processes in coordination with Security and Compliance teams, ensuring appropriate separation of duties between policy definition, approval, and technical implementation.
Platform Leverage & Standards
  • Build and maintain CI/CD pipelines, testing strategies, and deployment patterns for dbt and Snowflake.
  • Design deployment, testing, and validation patterns that make accuracy the default.
  • Establish platform standards, templates, and best practices that enable others to move faster without sacrificing quality or security.
  • Increase the amount of trusted work the organization can do without increasing Data Ops involvement.
  • Reduce ad hoc work by building reusable systems and guardrails.
  • Act as a technical leader and thought partner across data-related initiatives.
Reliability, Cost & Performance
  • Own Snowflake warehouse strategy, resource governance, and cost optimization.
  • Continuously improve performance, scalability, and reliability across the data platform.
  • Identify and eliminate inefficiencies that increase cost, risk, or operational overhead.
  • Collaborate with IT and Cloud Engineering to ensure Snowflake networking, storage integrations, and data movement patterns align with enterprise cloud security baselines, network segmentation standards, and infrastructure governance policies.
What Success Looks Like
  • Teams reliably self-serve data and insights without increasing DataOps workload or risk.
  • AI-powered tools consistently answer business questions accurately, using governed data, with access enforced by role and context.
  • Data access, governance, and correctness are enforced by platform design rather than manual review or process.
  • Platform improvements materially reduce cost, operational risk, or time-to-insight.
  • Shared, trusted models replace bespoke datasets and one-off definitions.
  • At least one company-critical initiative (e.g., AI enablement, cost optimization, access expansion) succeeds specifically because of systems you designed and built.
Who This Role is For
  • Care about leverage, durability, and outcomes - not just shipping artifacts.
  • Think deeply about how AI and automation change the role of data platforms.
  • Are highly self-directed and motivated, and take pride in ownership.
  • Thrive in ambiguity and are comfortable making decisions with incomplete information.
  • Are motivated by leverage, correctness, and long-term impact - not ticket volume or titles.
  • Readily navigate cross-functional tradeoffs to build shared data foundations that serve the whole company, not individual teams.
You Must Have
  • 7+ years of experience in data engineering, platform engineering, or related infrastructure roles, with ownership of production systems.
  • Deep expertise in Snowflake, especially:
    • Roles and RBAC
    • Row-level and column-level security
    • Warehouse design and cost optimization
    • Performance tuning and governance
  • Strong experience using dbt to build and maintain shared data models, including macro development, testing strategies, source freshness, group model security implementation, and production deployment patterns..
  • Advanced SQL skills and experience designing reliable ELT/ETL pipelines.
  • Proven systems-thinking mindset, with the ability to reason about tradeoffs across correctness, access, cost, and speed.
  • Clear communicator who can explain complex technical concepts to both technical and non-technical partners.
Nice to Have
  • dbt certification strongly preferred
  • Experience enabling AI/ML or natural-language data access.
  • Familiarity with data observability, lineage, or metadata tooling.
  • Experience designing platforms for self-service analytics.
  • Exposure to BI tools such as Sigma, Looker, or Tableau.
  • Experience working in lean, fast-growing organizations where leverage matters more than headcount.

About Us
Virtuous software is powering the world's leading nonprofits and inspiring a new generation of generosity.
At Virtuous, we believe generosity has the power to transform the world - and so we are on a mission to create $10B in net new generosity by helping nonprofits better connect with and inspire their donors.
Our talented team is hungry, humble, and committed to delivering best-in-class software solutions, customer success interactions, and sales experiences to the nonprofit community.
Our values are more than just a poster on the wall. Instead, our mission and values are precisely why candidates choose Virtuous. Our core values are:
  1. Build Better: We build audacious ideas to accelerate philanthropy and dismantle the status quo.
  2. Display Radical Generosity: We are generous with our time & talent as we serve our team and the nonprofit community.
  3. Stay Humble & Enjoy the Journey: We take our work seriously, but we don't take ourselves too seriously.

Virtuous should act as a career accelerator for everyone on our team. Team members should look back at their time at Virtuous as one of the most productive and stretching seasons in their professional lives. This means that working at Virtuous isn't for everybody. It is for the select few who are ready to do hard things and build something truly great.
If this sounds like you, we'd love for you to apply!
What We Offer
  • Market competitive pay leveraging Carta data
  • Employee recognition through Bonusly (birthdays, anniversaries, achievements, etc.)
  • 401(k) retirement plan with company matching- 50% match up to 6% of compensation after 90 days
  • We value our employee's work-life balance and encourage taking advantage of Unlimited PTO
  • Supportive time off including paid volunteer days and company holidays
  • Employer-contributed healthcare benefits, encompassing medical, dental, and vision coverage, with plans available for dependents and choices for Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA).
  • 12 weeks primary parent leave, 4 weeks secondary parent leave - full pay (adoption as well)
  • We pride ourselves on Community and host exciting company outings and events.

We've recently noticed an increase in recruitment scams where individuals are impersonating recruiters to obtain personal or financial information through fraudulent interviews and job offers.
Please note that all legitimate communication from Virtuous will only come from the @virtuous.org domain. If you receive a message from other domains, even if they look similar (e.g., virtuouscareers.org or virtuousjobs.com), they are not legitimate and we recommend disregarding it immediately.

Apply