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Data Engineering Lead Jobs (NOW HIRING)

RIT Solutions, Inc. is seeking a Data Engineering Lead to lead their data nimble team focused on data warehousing solutions. The role involves working with AWS services to ingest files, load data ...

Data Engineering Lead (Hybrid)

Chicago, IL ยท Hybrid

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering foundation at Rewards Network while providing technical leadership across both data engineering and data ...

\n \n \n \n \n We are looking for a highly skilled Data Engineering Lead to spearhead the development and optimization of advanced data solutions. This role requires an individual with expertise in ...

Data Engineering Lead (Hybrid)

Chicago, IL ยท On-site +1

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering foundation at Rewards Network while providing technical leadership across both data engineering and data ...

Data Engineering Lead (Hybrid)

Chicago, IL ยท Hybrid

$105K - $139K/yr

Job Overview The Data Engineering Lead is responsible for driving the modern data engineering foundation at Rewards Network while providing technical leadership across both data engineering and data ...

Data Engineering Lead

Manhattan, NY ยท On-site

$126K - $151K/yr

ClifyX is a company seeking a Data Engineering Lead who will be responsible for designing and managing data pipelines and ensuring data quality and governance. The role involves collaborating with ...

... un Lead Data Engineer para liderar la ejecuciรณn tรฉcnica, escalar la infraestructura y garantizar la excelencia operativa de nuestro equipo de datos. En este rol de liderazgo, trabajarรกs en ...

Lazard Asset Management is seeking a Head of Data Engineering to own and lead a full-scale modernization of the LAM data domain platform, tooling, architecture, and practices from the ground up. This ...

Data Engineering Lead

Southlake, TX ยท On-site

$107K - $129K/yr

We are in the midst of re-architecting and rebuilding our core enterprise data platform to support our rapidly growing and evolving business. The technical engineering leader will be a hands-on lead ...

Data Engineering Lead

Southlake, TX ยท On-site

$145K - $165K/yr

We are in the midst of re-architecting and rebuilding our core enterprise data platform to support our rapidly growing and evolving business. The technical engineering leader will be a hands-on lead ...

Data Engineering Lead

Arlington, VA ยท 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 ...

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 ...

Showing results 21-40

Data Engineering Lead information

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$95

How much do data engineering lead jobs pay per hour?

As of Aug 6, 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 is a data engineering lead?

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?

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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% 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

RIT Solutions, Inc.

Summit, NJ โ€ข On-site

Full-time

Re-posted 24 days ago


Job description

Job Summary:
RIT Solutions, Inc. is seeking a Data Engineering Lead to lead their data nimble team focused on data warehousing solutions. The role involves working with AWS services to ingest files, load data, and collaborate with the data science team on various projects.
Responsibilities:
โ€ข leads the data nimble team for their dw.
โ€ข focused in AWS, glue, athena, step functions, any of your aws services.
โ€ข primarily ingest files and load to the dw.
โ€ข go thru framework and expose them for the data science team to use.
โ€ข pii, masking data, etc.
โ€ข exciting project and best team in the EDW.
โ€ข work with aws toolstack and work directly with data science team.
โ€ข ways to make the bank money or save bank money.
โ€ข they are cutting edge, any new big program runs thru their team.
โ€ข pretty niche skillsets, will get to use snowflake, iceberg tables, all the the parquet files.
โ€ข any new things in data they will use.
โ€ข previous exp in the knowledge stack and can come in and run.
โ€ข huge demand and not enough staff to fill it.
โ€ข proactive and active learners.
โ€ข decent training materials there but a lot of it is on your own.
Qualifications:
Required:
โ€ข Experience leading a data engineering team
โ€ข Proficiency in AWS services including Glue, Athena, and Step Functions
โ€ข Experience with data warehousing (DW)
โ€ข Ability to ingest files and load to the data warehouse
โ€ข Experience with data masking and handling PII
โ€ข Familiarity with Snowflake and Iceberg tables
โ€ข Experience with Parquet files
โ€ข Ability to work directly with data science teams
โ€ข Proactive and active learner
โ€ข Ability to adapt to new technologies and tools in data engineering
Company:
Jobdiva Job Portal: https://www1.jobdiva.com/candidates/myjobs/searchjobsdone.jsp?a=xbjdnwgjodtga1y1im2g881fkkeiwd0775lbvq8yqgps8vb2q36w2vj1ga6xxork&compid=-1 Recruitment (contingency search and campus selection). Founded in 2019, the company is headquartered in Arlington, USA, with a team of 201-500 employees. The company is currently Growth Stage.