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Remote Lead Data Engineer Jobs (NOW HIRING)

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 ...

Lead Data Engineer

Charlotte, NC · On-site +1

$111K - $134K/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 ...

Lead Data Engineer

Iselin, NJ · On-site +1

$116K - $139K/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

$123.8K

$180.5K

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

As of Jun 7, 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.
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Lead Data Engineer

Lead Data Engineer

Wells Fargo

Irving, TX • On-site, Remote

$109K - $132K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 26 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 685 frontline employees who took The Breakroom Quiz

61st of 141 rated banks


Job description

About this role:

Within COO Technology, Wells Fargo is seeking a Lead Data Engineer to help shape and scale our cloudnative data ecosystem. In this role, you will focus on Google Cloud Platform (GCP) services and frameworks, leading the design, build, and operation of reusable data capabilities that power analytics and AI at enterprise scale. The ideal candidate is passionate about standardized frameworks, selfservice data platforms, and governancebydesign, enabling secure, reliable, and compliant data solutions across Google Cloud services.

The COO Technology group powers the firm's most critical operations by modernizing and optimizing enterprise technology platforms that enable resiliency, regulatory excellence, data services, customer experience, and strategic execution across the Chief Operating Office.

In this role, you will:

  • Design and implement scalable, secure data platforms on Google Cloud using managed services (BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer).)
  • Build reusable frameworks and tooling (ingestion, transformation, quality, orchestration) that can be adopted by multiple product and domain teams.
  • Enable selfservice data consumption and governance by standardizing patterns, templates, and platform capabilities rather than oneoff pipelines.
  • Design logical and physical data platform architectures leveraging BigQuery, Dataflow/Apache Beam, Dataproc/Spark, Pub/Sub, and Cloud Storage.
  • Define and implement standardized ingestion, transformation, and serving patterns (batch and streaming) as reusable blueprints.
  • Optimize cost, performance, and reliability of GCP data workloads (partitioning, clustering, storage classes, autoscaling strategies).
  • Build opinionated data ingestion frameworks (e.g., configdriven pipelines, connectors, schema handling, error handling) on top of Dataflow, Dataproc, or Composer.
  • Develop shared transformation libraries in Python/SQL/Beam (e.g., common SCD patterns, data quality checks, masking/tokenization routines).
  • Provide orchestration capabilities via Cloud Composer or Cloud Workflows with reusable DAGs/templates and CI/CD integration.
  • Implement robust data modeling (dimensional, data vault, or canonical models) and semantic layers in BigQuery and related tools.
  • Enforce data quality, lineage, and observability using standardized metrics, validation rules, and monitoring dashboards.
  • Apply security and governance controls: IAM, VPCSC, CMEK, row/columnlevel security, and policydriven access patterns
  • Partner with domain data engineers, analytics, and ML teams to onboard use cases onto platform services and frameworks
  • Document patterns, runbooks, and best practices, and provide enablement through workshops and code examples.
  • Contribute to platform roadmap, tool selection, and evaluation of new GCP services and opensource components

Required Qualifications:

  • 5+ years of Database Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
  • 5+ years of data management experience within Public Cloud (GCP, AWS, Azure)
  • 5+ years of hands on experience of Python or Java, plus Spark SQL for building data pipelines, libraries, and automation tooling.
  • 5+ years with orchestration tools (Cloud Composer/Airflow) and CI/CD (Cloud Build, Gitbased workflows) for data workloads

Desired Qualifications:

  • Experience with logging/monitoring stacks (Cloud Logging, Cloud Monitoring, error reporting, metrics dashboards
  • Experience with automated testing, data quality checks, and monitoring for pipelines and platform services.
  • Knowledge of cloud architecture principles (networking, security, IAM, reliability, cost management).
  • Experience with core GCP data services: BigQuery, Dataflow/Apache Beam, Dataproc, Pub/Sub.
  • Experience with Agile transformations and technology roadmaps.
  • Experience working with onshore and offshore teams.

Job Expectations:

  • Flexible to provide both application development and production support during off-hours
  • This role is not eligible for Visa Sponsorship
  • Hybrid schedule (3 days in office, 2 days remote)
  • Work Transparently: You always deal in an honest, direct, and transparent way
  • Take Ownership: You embrace responsibility and find joy in having the answers
  • Learn More: You regularly self-educate and improve your skill set

Job Posting Locations:

194 S Wood Ave, Iselin, New Jersey 08830

300 S Brevard St., CHARLOTTE, North Carolina 28202

401 Las Colinas Blvd W Bldg A, Irving, Texas 75039

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$119,000.00 - $224,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

8 Jun 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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