ZipRecruiter

Log In

1

Data Engineering Lead Jobs (NOW HIRING)

Charles Schwab

Data Engineering Lead

Southlake, TX

Schwab is seeking a results-driven, strategic data engineering leader to help advance our enterprise data platform as we modernize and scale capabilities across the firm. In this role, you will lead ...

Charles Schwab Inc.

Data Engineering Lead

Southlake, TX · On-site

$150K - $165K/yr

Schwab is seeking a results-driven, strategic data engineering leader to help advance our enterprise data platform as we modernize and scale capabilities across the firm. In this role, you will lead ...

CYNET SYSTEMS

Data Engineering - Lead

San Jose, CA · On-site

$55 - $60/hr

Pay Range: $75/hr - $80/hr Requirement/Must Have: * 1+ years of experience in data engineering ... Lead ontology, lineage, metadata, and semantic modeling for AI-ready data consumption. * Oversee ...

Accenture Federal Services

Data Engineering Lead

Arlington, VA · On-site

$131K - $158K/yr

The Data Engineer will design, build, and maintain the core client data infrastructure and pipelines necessary to ingest, process, store, and transform data for various consumers. Develop and operate ...

Hark

Data Engineering Lead

San Jose, CA · On-site

$170K - $450K/yr

That means owning the full data engineering stack: ingestion, transformation, quality filtering, and delivery to training and evaluation systems. The models we ship are only as good as the data ...

Hark

Data Engineering Lead

San Jose, CA · On-site

$170K - $450K/yr

That means owning the full data engineering stack: ingestion, transformation, quality filtering, and delivery to training and evaluation systems. The models we ship are only as good as the data ...

ACI Infotech

Lead Data Engineer

Atlanta, GA · On-site

Data Engineering Lead (Marketing) Position Description (General role information, job purpose, main objectives of the role) Location: Atlanta, GA Duration: FULL TIME / C2H Mode: Hybrid ( 2 days a ...

Truist

AI Data Engineering Lead

Charlotte, NC

$111K - $134K/yr

English (Required) Work Shift: 1st shift (United States of America) Please review the following The AI Data Engineering Lead designs, builds, and maintains the data pipelines, ingestion frameworks ...

Truist

AI Data Engineering Lead

Charlotte, NC · On-site

$111K - $134K/yr

English (Required) Work Shift: 1st shift (United States of America) Please review the following The AI Data Engineering Lead designs, builds, and maintains the data pipelines, ingestion frameworks ...

Novartis

Clinical Data Engineering Lead

Cambridge, MA · On-site

Novartis Biomedical Research is searching for a visionary Associate Director to lead Clinical Data Engineering within their Oncology Data Science team. In this pivotal role, you'll be responsible for ...

next page

Showing results 1-20

All JobsData Engineering Lead Jobs

Data Engineering Lead information

See salary details

$30

$70

$95

How much do data engineering lead jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for data engineering lead in the United States is $70.08, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $78.61 per hour, depending on experience, location, and employer.

What does a data engineering lead do?

A data engineering lead oversees the design, development, and maintenance of data pipelines and infrastructure to ensure reliable data flow for analytics and business needs. They coordinate with data scientists and analysts, utilize tools like SQL, Spark, and cloud platforms, and often require strong programming skills and leadership experience to manage data teams effectively.

What are Data Engineering Leads?

Data Engineering Leads are senior professionals responsible for overseeing data engineering teams and projects. They design, build, and maintain data infrastructure, ensuring data is accessible, reliable, and secure for analytics and business use. Typically, they coordinate with data scientists, analysts, and other stakeholders to define data requirements and implement best practices in data management. Their role also involves mentoring team members, choosing appropriate technologies, and ensuring the scalability and performance of data systems.

What is the difference between Data Engineering Lead vs Data Engineer?

AspectData Engineering LeadData Engineer
Required CredentialsBachelor's or Master's in CS, certifications like AWS, GCP, or AzureBachelor's in CS, related certifications optional
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data pipelines, implements data solutions, collaborates with teams
Employer & Industry UsageUsed in organizations with data teams, analytics, and BI departmentsEntry to mid-level roles in data-focused companies

The Data Engineering Lead typically oversees data projects, manages teams, and coordinates with stakeholders, requiring leadership skills and experience. Data Engineers focus on building and maintaining data pipelines and infrastructure. While both roles require similar technical skills, the Lead role involves more strategic and managerial responsibilities.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires strong technical knowledge, leadership abilities, and a track record of delivering complex data solutions.

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 like Spark and Hadoop, can earn $300,000 or more annually. Compensation often depends on location, industry, company size, and additional certifications or specialized knowledge.

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

To thrive as a Data Engineering Lead, you need strong expertise in data modeling, ETL pipeline development, and database architecture, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, and cloud platforms such as AWS or Azure, as well as certifications in these systems, is highly valuable. Excellent leadership, problem-solving, and communication skills help in managing teams and collaborating with stakeholders. These competencies ensure efficient data infrastructure development, drive data-driven decision-making, and foster innovation within organizations.

What are some common challenges faced by a Data Engineering Lead when managing large-scale data infrastructure projects?

A Data Engineering Lead often encounters challenges such as balancing short-term business needs with long-term architectural goals, ensuring data quality across multiple sources, and managing the complexity of integrating new technologies with existing systems. They also need to coordinate effectively with cross-functional teams, including Data Scientists, Analysts, and DevOps, to align on project priorities and timelines. Additionally, leading and mentoring a team of engineers requires strong communication and organizational skills to foster collaboration and continuous improvement.

Can a data engineer make 200k?

Senior data engineers with extensive experience, advanced skills in tools like Spark and cloud platforms, and certifications can reach or exceed a $200,000 salary, especially in high-cost-of-living areas or large organizations. Entry-level or mid-level data engineers typically earn less, with salaries increasing with expertise, leadership responsibilities, and specialization in areas like data architecture or machine learning.
More about Data Engineering Lead jobs
What cities are hiring for Data Engineering Lead jobs? Cities with the most Data Engineering Lead job openings:
What states have the most Data Engineering Lead jobs? States with the most job openings for Data Engineering Lead jobs include:
What job categories do people searching Data Engineering Lead jobs look for? The top searched job categories for Data Engineering Lead jobs are:
Data Engineering Lead jobs near you
Infographic showing various Data Engineering Lead 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 $145,772 per year, or $70.1 per hour.
Data Engineering Lead

Data Engineering Lead

Charles Schwab

Southlake, TX

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 days ago

Job description

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

Schwab is seeking a results-driven, strategic data engineering leader to help advance our enterprise data platform as we modernize and scale capabilities across the firm. In this role, you will lead the design, development, and continuous improvement of high-performance, scalable data solutions that power critical business functions including risk, compliance, audit, and corporate systems. You will operate at the intersection of technology and business, translating complex requirements into actionable data solutions while driving measurable outcomes such as improved system stability, faster time to market, and stronger data quality and governance.

As a hands-on technical leader, you will guide and mentor a team of engineers, fostering a culture of accountability, collaboration, and continuous improvement. You will partner closely with product owners, developers, and cross-functional stakeholders to prioritize work, decompose complex initiatives, and ensure aligned, high-quality delivery. Success in this role requires the ability to navigate ambiguity, make informed decisions, and proactively identify risks and dependencies to keep projects on track.

You will play a key role in strengthening operational intelligence through the firm’s data exchange platform, driving innovation across data pipelines, enabling automation, and supporting enterprise-wide data accessibility. This is an opportunity to shape the future state of Schwab’s data ecosystem—building resilient, efficient, and scalable solutions that enable better business decisions and enhance the client experience.

What you have

Required Qualifications

· 12+ years of data engineering experience delivering scalable data pipelines, platforms, and solutions

· 7+ years of experience leading strategic projects and driving delivery in a matrixed organization

· 5+ years of experience within financial services or a regulated industry

· Strong expertise in data architecture, data modeling, data quality frameworks, and ETL development, with a focus on building reliable, high-performing systems

· Advanced proficiency in SQL and Python, with experience leveraging modern data platforms and cloud technologies (e.g., Google Cloud Platform services such as BigQuery, Dataflow, Cloud Storage, Composer, Pub/Sub)

· Experience with enterprise data integration tools such as Informatica and SQL Server Integration Services (SSIS)

· Demonstrated ability to translate business needs into technical data solutions and guide teams through data analysis and mapping processes

· Proven leadership experience building, developing, and mentoring high-performing engineering teams across varied skill levels

· Strong understanding of data warehouse concepts, including star schema, slowly changing dimensions, and fact/dimension modeling

· Knowledge of data lifecycle management, metadata management, and data governance best practices

· Experience implementing data security controls and access management to protect sensitive information

· Strong problem-solving skills with the ability to assess risks, make data-driven decisions, and drive resolution

· Excellent communication skills, with the ability to effectively influence and collaborate with both technical and non-technical stakeholders

· Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)

Preferred Qualifications

· Experience working with enterprise systems such as Workday, BMC Remedy Helix, Jira, or Rally

· Familiarity with event-driven and streaming architectures, including tools such as Kafka

· Experience with data visualization and reporting tools, including report design and delivery of insights

· Proficiency with development and DevOps tools such as GitHub, Bamboo, or Liquibase

· Experience in cloud-native data engineering practices, with a preference for Google Cloud Platform

· Demonstrated ability to manage multiple priorities in a fast-paced, geographically dispersed environment while maintaining strong organizational discipline

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.


What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance

Apply