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Remote Director Data Engineering Jobs (NOW HIRING)

SQUIRE

Director, Data Engineering

Charleston, WV · Remote

$200K - $230K/yr

We're hiring a Director, Data Engineering to build and lead our Data organization through a player ... Remote - US or Canada Type : Full-Time Compensation : Base ($200,000 - $230,000) + Bonus (15%) YOUR ...

Engine

Director, Data Engineering

$223K - $310K/yr

About the Role We're seeking a Director of Data Engineering to define the vision and execute the ... Whether you are in one of our amazing offices or fully remote, we'll make sure you have what you ...

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 ...

Zillow

Director, Data Engineering - Business Data

$178K - $284K/yr

About the role As the Director of Data Engineering, you will lead a growing data engineering ... This role has been categorized as a Remote position. "Remote" employees do not have a permanent ...

Monks

You will architect robust data engineering solutions and write production-level code to ensure data ... Remote What We Offer Benefits * Excellent, full coverage medical, dental, and vision insurance ...

Media.Monks

$130K/yr

You will architect robust data engineering solutions and write production-level code to ensure data ... Remote What We Offer Benefits * Excellent, full coverage medical, dental, and vision insurance ...

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

As of Jul 29, 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, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.
Director, Data Engineering

Director, Data Engineering

SQUIRE

Charleston, WV • Remote

$200K - $230K/yr

Full-time

Posted 6 days ago

Job description

WHO WE ARE

SQUIRE is the leading business management system designed for the needs of barbers, shop owners, and their communities. We believe the pursuit of artistry and autonomy should not be restricted by the complexities of running a business. With SQUIRE, we provide custom-branded tools, resources, and guidance to help barbers of all stages and experience levels attract and retain more customers, efficiently manage their shop operations, and increase their revenue.

Founded in 2015, SQUIRE is trusted by more than 30,000 barbers across 5,000+ shops in more than a thousand cities worldwide. From streamlined booking and opening new shops to real-time earning dashboards and building lasting customer relationships, SQUIRE supports shop owners in seamlessly bridging the gap between their personal craft and business goals. SQUIRE enables barbers everywhere to unlock their full potential both as artists and as entrepreneurs.

For more information, please visit getsquire.com or download the SQUIRE app from the App or Play Store.
 
ABOUT THE ROLE

At SQUIRE, trusted data turns information into action - powering everything from company-wide reporting and automation to the AI capabilities shaping our next chapter. We're hiring a Director, Data Engineering to build and lead our Data organization through a player-coach model, spending approximately half your time hands-on in the code and the other half developing engineers, setting technical direction, and owning the organization’s strategy. You’ll own SQUIRE’s long-term data architecture and lead a growing team spanning Data Engineering, Machine Learning Engineering, and Analytics.

Success in this role means building a data foundation the company trusts by default, with reliable pipelines, clear standards, and scalable systems. You'll have the authority and accountability to make architectural and organizational decisions needed to move the function forward while helping the team grow in both capability and impact. As SQUIRE continues to scale, your work will directly enable more confident decision-making, stronger automation, and AI use cases that power our next phase of growth.

Reports To: Chief Product and Technology Officer
Location: Remote - US or Canada
Type: Full-Time
Compensation: Base ($200,000 - $230,000) + Bonus (15%)

YOUR CRAFT (Job Duties & Responsibilities)
  • Design, build, and debug the highest-impact pipelines, connecting our business systems, including CRM, billing, and internal platforms to our Snowflake warehouse, in both directions
  • Own the data strategy and architecture across a multi-year horizon, while maintaining deep, hands-on familiarity with the systems and their edge cases
  • Establish technical direction and standards for pipeline design, data modeling, and data quality across the org; personally build and ship the highest-risk or most ambiguous work
  • Build, structure, and lead a growing Data organization of 5+ across Data Engineering, ML Engineering, and Analytics
  • Own headcount planning, hiring strategy, and budget for the Data organization
  • Partner with the Chief Product and Technology Officer and cross-functional leaders to translate company strategy into data contracts and platform investments
  • Lead audits of existing integrations and automations, and determine what should be replaced and how that work should be prioritized
  • Champion AI and automation enablement company-wide, ensuring agents and LLM use cases are built on a trusted data foundation, while remaining hands-on in building select enablement capabilities
The duties and responsibilities outlined above are not a comprehensive list, and additional tasks may be assigned from time to time based on business needs.
YOUR FOUNDATION (Experience & Skills)
  • 8+ years in data or software engineering, including 4+ years managing engineers
  • Experience building and leading a multidisciplinary data organization (data, ML, analytics, software) of 5+ people
  • Advanced SQL and Python skills, along with strong MDM fundamentals, with the technical depth to lead by example
  • Hands-on experience with Snowflake (or equivalent), dbt, and an orchestration tool such as Airflow, Dagster, or Prefect, beyond just an architectural understanding
  • Direct experience setting AI and LLM enablement strategy and building with LLM tooling
  • Comfortable operating at Director scope (owning budgets, advocating for roadmaps, and translating technical tradeoffs for non-technical stakeholders) while remaining directly involved in technical execution
EXTRA CUT (Nice to Haves)
  • Experience building AI agents with LLMs (wired models into real systems with tool use, retrieval, and orchestration) and with the ability to guide others doing similar work
  • Backend engineering experience (ideally in JS/TS) with sufficient depth to effectively evaluate architecture
  • Strong ML and MLOps knowledge, with the ability to set direction, assess technical tradeoffs, and support ML Engineering Leads
  • Experience with Salesforce, Stripe, Gong, or reverse ETL (Polytomic), and data governance / PII handling at a company-wide policy level


Don’t let this list stop you from applying - If you are interested in the role, we’d love to hear from you!

WHY SQUIRE?

As a Director, Data Engineering, you’ll have real ownership over a function the whole company depends on, a mandate to develop its leadership structure, and the charter to define the data foundation for SQUIRE's AI future — with the authority to turn that strategy into a lasting practice.

WHAT WE OFFER
  • Base Salary ($200,000 - $230,000) +  Bonus (15%)
  • New hire stock grant
  • 100% employer-paid medical/dental/vision insurance for you and your dependents
  • 401K plan with company contribution
  • Generous PTO and Parental Leave policies
Interview Accommodations
SQUIRE is committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are an individual with a disability requiring an accommodation to apply for an open position, please email your request to recruiting@getsquire.com and someone on our team will respond to your request.

Equal Employment Opportunity
SQUIRE provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Pay Transparency Nondiscrimination Provision
SQUIRE will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.