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Remote Director Data Engineering Jobs (NOW HIRING)

Meta

Director, Data Engineering

$253K/yr

Director, Data Engineering Responsibilities: * Firefighter Mode * Leadership asks "what's the ROI of [new AI tool]?" on Wednesday. You have an answer by Friday * A team claims their AI initiative ...

Life360

Director, Data Engineering (AI Native)

$216K - $318K/yr

Life360 is a Remote First company, which means a remote work environment will be the primary ... About the Job We're looking for a Director of Data Engineering to lead the engineering half of our ...

CVS Health

Lead Director, Data Engineering

Irving, TX · On-site +1

$209K - $288K/yr

Duties include: direct daily data engineering operations across the enterprise, analyze workflow, establish priorities, and develop and execute strategic engineering roadmaps; apply analytical rigor ...

Courier Newsroom, Inc.

Data Engineering Director

NY · Remote

DATA ENGINEERING DIRECTOR Remote (U.S.-based) | Full-Time | $130K-$140K Join Courier Newsroom - an organization that drives journalism and empowers communities. AtCourier Newsroom, we're reinventing ...

COMIRB

Assistant Director, Data Engineering

Denver, CO · On-site +1

This position exists to serve as a manager for the field of Data Engineering, including the data ... direct reports, and completing performance reviews to ensure continuous improvement, high ...

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$73K

$194.7K

$254K

How much do remote director data engineering jobs pay per year?

As of Jul 8, 2026, the average yearly pay for remote director data engineering in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

Can I make 200K as a data engineer?

A remote data engineer with seniority, extensive experience, and expertise in tools like cloud platforms and big data technologies can potentially earn a salary of $200,000 or more, especially in high-demand markets. Compensation varies based on location, company size, and skill level, with senior roles often reaching or exceeding this figure.

What engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries of $300,000 or more annually. Compensation often depends on industry, location, company size, and additional certifications or specialized knowledge.

What engineers make $200,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $200,000 or more annually. Compensation varies based on industry, location, and company size, with roles often requiring strong programming, data architecture, and leadership abilities.

What engineers make $500,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. Such compensation often includes base salary, bonuses, and stock options, typically in large tech companies or organizations with high data demands.
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Remote Director Data Engineering jobs near you
Infographic showing various Remote Director Data Engineering 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 $194,709 per year, or $93.6 per hour.
Director, Data Engineering

Director, Data Engineering

Meta

Remote

$253K/yr

Full-time

Posted 4 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

131st of 204 rated software companies

Job description

You'll be one of the analytics leaders for how Meta transforms its Enterprise through AI. This is a 0→1 role with enterprise-wide scope, high ambiguity, and direct visibility to leadership. If you want to shape how 70,000+ people work—and measure whether it's actually working—this is the job.We are open to hiring Data Science or Data Engineering profiles. In our world, both are Analytics. The work will span the full spectrum—from building the data infrastructure that powers enterprise measurements to shaping the strategic frameworks that define what "good" looks like. Your title matters less than your demonstrated experience to operate across that range.THE TEAM2026 is a step-function year for AI at Meta. We're not just building AI products for the world—we're fundamentally rewiring how we work internally. This is driven by AI4W (AI for Work), a company-wide effort to integrate AI into every tool, team, and process at Meta.This role reports to Enterprise Analytics leaders and will be one of the experienced ICs on a new “Ecosystem" analytics team. You'll sit at the intersection of the teams actually building Meta's internal AI future (Metamate, Devmate, Analytics Agent, vibe coding platforms) and Enterprise Engineering (EE), which manages 680+ products and 6 of Meta's top 10 internal tools, powering everything from recruiting and financial planning to supply chain operations and employee support. Across EE, we're watching the real-time pivot from "passive AI assistance" to autonomous agents that don't just advise but execute: sourcing candidates, calculating tax provisions, resolving IT tickets, and accelerating analytics workflows through cookbooks, semantic models, and self-serve recipe systems.There is no playbook and the measurement frameworks are nascent.
Director, Data Engineering Responsibilities:
  • Firefighter Mode
  • Leadership asks "what's the ROI of [new AI tool]?" on Wednesday. You have an answer by Friday
  • A team claims their AI initiative saved 10,000 hours. You validate (or invalidate) it
  • You rapidly instrument, measure, and communicate whether it's working
  • You jump into whatever is urgent and ambiguous—and you close it
  • Systems Thinker Mode
  • Build measurement frameworks that work across wildly different AI tools and use cases (coding, analytics, recruiting, HR support, supply chain, finance and more)
  • Create the dashboards, workspaces, semantic models and self-serve layers that let stakeholders across the company understand progress without pinging you
  • Design and scale the data pipelines and instrumentation that capture agent telemetry, usage signals, and outcome metrics across a fragmented and fast-moving tool landscape
  • Shape the strategy for how we think about productivity, time savings, and quality improvements in an AI-augmented workforce
  • Influence how Analytics (and business functions) evolve their operating models, job profiles, and organization structures for the AI era

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • AI power user. You're already a power AI user in your day-to-day work—Metamate, Claude, Cursor, or whatever tools make you faster. You'll set an example for what "AI-native" looks like and help others get there
  • 0→1 builder experience You've built measurement systems from scratch in ambiguous spaces. You don't wait for requirements—you define them
  • Speed + rigor. You can move fast without being sloppy. You know when to be 60% right now vs. 95% right later
  • Executive communication. You'll regularly present to leadership. Your insights need to be crisp, actionable, and defensible
  • Cross-functional influence. You'll work across dozens of teams (EE, Security, CPP, DevInfra, and more). You need to drive alignment without authority
  • Honesty. Some AI initiatives won't work. Some claimed impact will be inflated. You'll need to call it like you perceive it

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with productivity/efficiency measurement, internal tools, or enterprise products
  • Familiarity with LLMs, agentic systems, or AI tooling
  • Prior experience in a founding/early team member role

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$253,000/year to $314,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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