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Data Engineering Lead Jobs (NOW HIRING)

Data Engineering - Lead

San Jose, CA ยท 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 ...

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Data Engineering Lead

San Jose, CA ยท 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 ...

Data Engineering Lead

San Jose, CA ยท 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 ...

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 ...

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 ...

Specifically, data engineer lead will work to design and implement data acquisition strategies to ingest data from SAP ERP Systems (ECC, CRM, EWM, EM BW, Hybris) into Data Lake/Data Warehouse using ...

Specifically, data engineer lead will work to design and implement data acquisition strategies to ingest data from SAP ERP Systems (ECC, CRM, EWM, EM BW, Hybris) into Data Lake/Data Warehouse using ...

Clinical Data Engineering Lead

Cambridge, MA ยท On-site

$176K - $327K/yr

Lead, manage, and develop a high-performing clinical data engineering team, fostering collaboration and growth. * Drive strategic initiatives and partnerships across a matrixed organization.

Sr. AWS Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

AWS Data Engineering Lead Location: San Francisco, CA(Locals Preferred but ok in US) Mode: Hybrid(3 day a week onsite) Employment type: Contract Role Summary We are seeking a highly skilled AWS Data ...

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Data Engineering Lead information

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$30

$70

$95

How much do data engineering lead jobs pay per hour?

As of Jun 7, 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 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 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.
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Infographic showing various Data Engineering Lead job openings in the United States as of May 2026, with employment types broken down into 78% Full Time, 17% Part Time, and 5% Contract. Highlights an 87% Physical, 3% 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

CYNET SYSTEMS

San Jose, CA โ€ข On-site

$55 - $60/hr

Contractor

Posted yesterday


Job description

Job Overview:

Pay Range:ย $75/hr - $80/hr

Requirement/Must Have:

  • 1+ years of experience in data engineering.
  • Strong verbal and written communication skills.
  • Excellent communication and presentation skills.
  • Ability to communicate effectively with stakeholders.

Responsibilities:

  • Design scalable data models including SCD Type 2, surrogate keys, and semantic data structures.
  • Architect and oversee ETL/ELT pipelines.
  • Drive implementation of metadata-driven, modular, and idempotent data pipelines.
  • Integrate Data Quality Framework with ingestion, validation, reconciliation, and drift detection processes.
  • Define overall security architecture, governance alignment, policy enforcement strategy.
  • Define migration strategy, sequencing, governance, and validation approach.
  • Enable governance and semantic capabilities through Enterprise Data Catalog and Enterprise Knowledge Graph.
  • Lead ontology, lineage, metadata, and semantic modeling for AI-ready data consumption.
  • Oversee orchestration workflows and support Java/Python-based API integrations.
  • Drive parallel run, side-by-side validation, controlled cutover, and legacy ETL decommissioning with zero business disruption.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asiaโ€”ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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