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Remote Lead Data Engineer Jobs (NOW HIRING)

Cushman & Wakefield

Lead Data Engineer

$104K - $138K/yr

Job Title Lead Data Engineer Summary The Lead Data Engineer helps architect and lead the development of enterprise-scale data platforms and advanced analytics solutions across multiple business units ...

C the Signs

Lead Data Engineer

We are seeking a Lead Data Engineer to architect, build, and scale our next-generation healthcare ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

MetaPhase Consulting

Lead Data Engineer

Reston, VA · Remote

$119K - $143K/yr

Lead Data Engineer At MetaPhase, we believe Quirky is Cool and being authentic is the only way to ... Remote. Travel * N/A Education Level * Bachelor's degree in data analytics engineering, computer ...

McKesson

Lead Data Engineer

Concord, NC · Remote

$138K - $231K/yr

Job Title Lead Data Engineer (Operations / KTLO) Summary We are seeking a technically strong and operationally focused Lead Data Engineer to manage the day-to-day operations of PSaS Data & Analytics ...

McKesson

Lead Data Engineer

Concord, NC · Remote

$138K - $231K/yr

Job Title Lead Data Engineer (Operations / KTLO) Summary We are seeking a technically strong and operationally focused Lead Data Engineer to manage the day-to-day operations of PSaS Data & Analytics ...

Jj

Lead Data Engineer

New Brunswick, NJ · On-site +1

$170K - $190K/yr

Lead Data Engineer Job Code: A011.8547 Job Location: New Brunswick, NJ Job Type: Full-Time Rate of Pay: $170,000 - $190,000 Job Duties: Lead portfolio of data engineering projects working on multi ...

New

Humana, Inc.

Lead Data Engineer

$117K - $140K/yr

This position is remote; however, the candidate will be expected to work according to Eastern ... Lead the architecture, engineering, and stabilization of the centralized Finance reporting data ...

KORE1 Technologies

Lead Data Engineer

TX · Remote

$117K - $140K/yr

... remote) About us: We are building the financial operating system for healthcare provider ... The Role We are looking for a Lead Data Engineer to act as the technical authority for our platform ...

IT America Inc

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note: Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa Independent ...

Blend

Lead Data Engineer

$117K - $140K/yr

They are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative, modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud ...

Atticus

Lead Data Engineer

$117K - $140K/yr

They are seeking a Lead Data Engineer to own and evolve their core data infrastructure, collaborating with data scientists and business analysts to ensure data is clean, accessible, and trustworthy.

Mark43

Lead Data Engineer

New York, NY · On-site +1

$170K - $210K/yr

We are looking for a Lead Data Engineer to join our team. This is a high-impact, strategic role ... Before applying to a remote role, please ensure that you are able to perform the position in one of ...

Mark43

Lead Data Engineer

New York, NY · Remote

$170K - $210K/yr

We are looking for a Lead Data Engineer to join our team. This is a high-impact, strategic role ... Before applying to a remote role, please ensure that you are able to perform the position in one of ...

Rearc

Lead Data Engineer (Databricks)

$104K - $138K/yr

As a Lead Data Engineer at Rearc, you'll be the technical anchor on complex, client-facing data engineering engagements, someone who can sit across the table from a client's data leadership team ...

Attain Finance

Lead Data Engineer

$104K - $138K/yr

Overview We're looking for a Lead Data Engineer to own the reliability and operational excellence of our data platform. You'll work hands-on across Snowflake, Airflow, AWS, Python, and SQL , building ...

Wells Fargo

Lead Data Engineer

Irving, TX · On-site +1

$109K - $132K/yr

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our ... Hybrid schedule (3 days in office, 2 days remote) * Work Transparently: You always deal in an ...

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Remote Lead Data Engineer information

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$42.5K

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$180.5K

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

As of Jun 13, 2026, the average yearly pay for remote lead data engineer in the United States is $123,784.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $135,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Lead Data Engineer, you need advanced expertise in data architecture, ETL processes, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or GCP), big data frameworks (such as Spark or Hadoop), and relevant certifications are highly valued. Strong leadership, communication, and problem-solving skills help you effectively manage distributed teams and collaborate cross-functionally. These skills ensure robust data solutions, seamless team coordination, and the ability to deliver scalable analytics infrastructure remotely.

How does a Remote Lead Data Engineer typically collaborate with cross-functional teams while working remotely?

As a Remote Lead Data Engineer, collaboration with cross-functional teams—such as data scientists, analysts, product managers, and software engineers—is often facilitated through virtual meetings, project management tools, and shared documentation platforms. Effective communication is crucial, as you’ll be responsible for aligning data architecture with business goals and ensuring that stakeholders are regularly updated on project progress. Many organizations use agile methodologies to structure work, which means you’ll participate in regular stand-ups, sprint planning, and reviews with distributed teams. Building strong relationships and maintaining transparency are key to overcoming remote collaboration challenges and driving project success.

What is a Remote Lead Data Engineer?

A Remote Lead Data Engineer is a senior-level professional responsible for designing, building, and maintaining large-scale data systems while working remotely. They oversee data engineering teams, establish best practices, and ensure data pipelines are efficient and reliable. This role combines hands-on technical tasks with leadership responsibilities, such as mentoring junior engineers and collaborating with other departments. Remote Lead Data Engineers must be adept at communication and project management to coordinate effectively with distributed teams.
More about Remote Lead Data Engineer jobs
What cities are hiring for Remote Lead Data Engineer jobs? Cities with the most Remote Lead Data Engineer job openings:
What are the most commonly searched types of Lead Data Engineer jobs? The most popular types of Lead Data Engineer jobs are:
What states have the most Remote Lead Data Engineer jobs? States with the most job openings for Remote Lead Data Engineer jobs include:
What job categories do people searching Remote Lead Data Engineer jobs look for? The top searched job categories for Remote Lead Data Engineer jobs are:
Remote Lead Data Engineer jobs near you
Infographic showing various Remote Lead Data Engineer job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, 26% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $123,784 per year, or $59.5 per hour.
Lead Data Engineer

Lead Data Engineer

Cushman & Wakefield

Remote

$104K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 28 days ago

Cushman & Wakefield rating

7.7

Company rating: 7.7 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

71st of 154 rated real estate companies

Job description

Job Title
Lead Data Engineer
Job Description Summary
Job Description
The Lead Data Engineer helps architect and lead the development of enterprise-scale data platforms and advanced analytics solutions across multiple business units and subject areas. In addition, they assist the project delivery team with scoping and planning integration projects and contribute to the design, implementation, and support of the data artifacts in the data lakehouse and databases. This role combines deep technical expertise with leadership and mentoring responsibilities, driving innovation and best practices across the data engineering function.
Key Responsibilities
  • Support the Solution and Data Architect(s) to help lead the design, development, and optimization of scalable data platforms and analytics solutions that support global data strategy.
  • Architect and implement robust, scalable, metadata-driven pipelines in Databricks using Delta Lake, Unity Catalog, and declarative workflows.
  • Oversee the development and maintenance of Azure SQL database objects using advanced T-SQL for data quality and insight generation.
  • Drive performance, reliability and observability of real-time data processing using Spark Structured Streaming and Change Data Feed strategies.
  • Own CI/CD processes and infrastructure automation using Databricks Asset Bundles, Azure DevOps, and Infrastructure as Code.
  • Define and enforce standards for reusable, metadata-driven integration patterns, including Unity Catalog governance, Declarative Pipeline design, and data quality across the engineering team.
  • Manage and mentor a small team of data engineers, providing technical leadership, pair programming support, conducting design/code reviews, guiding technical decisions and aligning data engineering efforts with strategic goals
  • Collaborate with cross-functional stakeholders to translate business and technical requirements into scalable data solutions, assisting the project delivery team to scope, plan and deliver new and enhanced data integrations
  • Champion innovation, best practices, and continuous improvement in data engineering, while mentoring team members and fostering technical growth.
  • Evaluate and introduce emerging technologies to enhance platform capabilities

Essential Knowledge & Experience
  • Extensive hands-on experience (6+ years) in cloud-native data engineering, including 3+ years with Databricks and Delta Lake in Azure, combined with good (2+ years) in a technical leadership or architecture role.
  • Deep practical experience of the Databricks ecosystem including Delta Lake, Unity Catalog, Declarative Pipelines, Spark Structured Streaming, Change Data Feed, Serverless SQL, and Cluster management & optimization.
  • Expert-level SQL skills, with a track record of designing performant queries, optimizing data models, and driving insight generation from large datasets.
  • Proficiency in multiple programming languages used in data engineering and analytics (e.g., PySpark, Scala, R, Python), with experience mentoring others in their use.
  • Deep understanding of cloud-native data architecture, including Lakehouse design principles, data integration patterns, and automation strategies.
  • Proven ability to design and deliver scalable, production-grade data pipelines, with a focus on reliability, maintainability, and performance.
  • Strong experience with CI/CD, version control (Git), ideally including Databricks Asset Bundles, and Infrastructure as Code, leading DevOps practices in data engineering teams.
  • Skilled in requirements gathering and solution design, translating business needs into technical specifications and guiding teams through delivery.
  • Demonstrated leadership in troubleshooting and resolving complex data and code issues, driving root cause analysis and long-term fixes.
  • Excellent communication and stakeholder engagement skills, with experience presenting architectural decisions, documenting processes, and influencing cross-functional teams.
  • Commitment to continuous improvement, staying current with emerging technologies and fostering a culture of learning and innovation within the team.

Desirable Knowledge & Experience
  • Hands-on experience with machine learning pipelines or integrating data engineering with advanced analytics and AI workflows.
  • Experience designing and implementing data mesh or domain-oriented data architectures in large-scale environments.
  • Test-driven development using common testing frameworks (e.g. pytest, nUnit, tSQLt, nBI, etc.)
  • Exposure to real-time integrations or IoT solutions e.g. Event Hubs, Service Bus, IoT and Event Grid in Azure; IoT Core, PubSub in Google Cloud; etc.
  • Familiarity with data governance frameworks, including data lineage, cataloging, and compliance (e.g., GDPR, HIPAA).
  • Background in delivering data-driven solutions for commercial real estate applications
  • Degree in IT, Engineering, computer sciences, business IT degree or in any quantitative discipline

Skills & Personal Qualities:
  • Strong communicator in English, both verbal and written, with the ability to engage effectively across global teams and all levels of the organisation.
  • Analytical and curious mindset, driven to solve complex problems and understand intricate technical systems and architectures.
  • Organised and detail-oriented, with a diligent, quality-focused approach and a strong sense of ownership.
  • Collaborative and proactive, able to build relationships, resolve conflicts, and contribute meaningfully within cross-functional teams.
  • Adaptable and dependable, capable of managing multiple priorities, meeting deadlines, and working independently or as part of a team.
  • Continuous learner, demonstrating initiative in technical self-improvement and staying current with evolving tools and practices.

Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements.
The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidate's experience and qualifications.
The company will not pay less than minimum wage for this role.
The compensation for the position is: $ 86,615.00 - $101,900.00
Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.
In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or email Accommodations@cushwake.com. Please refer to the job title and job location when you contact us.
INCO: "Cushman & Wakefield"

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