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Data Engineering Jobs (NOW HIRING)

Spokeo

Data Engineering Manager

Pasadena, CA · Remote

As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that ...

Waylin Partners LLC

Manager - Data Engineering

$117K - $140K/yr

Waylin Partners, a leading provider of FP&A, data, and accounting consulting services, is seeking a Data Engineer who is passionate about building scalable data solutions and solving complex ...

Vanguard Group

Manager, Data Engineering

Malvern, PA · On-site

Lead a team of data engineers to build and operate scalable, reliable data pipelines and platforms * Drive engineering excellence (code quality, CI/CD, testing, observability, incident management)

Prophecy Technologies

Azure Data Engineering

Deerfield, IL · On-site

$116K - $139K/yr

Azure Data Engineering Location: Deerfield, IL Experience: 6-8 Years Roles & Responsibilities: * Work with customers on solution design and architecture. * Coordinate with offshore teams for ...

Intap

Manager, Data Engineering

Charlotte, NC

The Manager, Data Engineering, is a technical leader within the DealCloud Services team, responsible for owning end-to-end delivery of client data migration engagements. This role combines hands-on ...

Daikin

Data Engineering Manager

Waller, TX

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence ...

ECS Resource Group

Data Engineering Lead

Newark, NJ · Hybrid

£60K - £90K/yr

Data Engineering Lead Newark - Flexible Hybrid Working Permanent Package: up to 90'000k We are recruiting for an experienced Data Engineering Lead, working for one of the UK's leading technology and ...

Deinde Financial, LLC

Be Seen First

Data Engineering Manager

Chicago, IL · On-site

$170K - $180K/yr

About the Role We are a financial services company hiring a Data Engineering Manager to lead a small, high-impact team building the data infrastructure behind our loan performance, portfolio ...

Daikin

Data Engineering Manager

Waller, TX · On-site

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence ...

Cambria

Data Engineering Manager

Belle Plaine, MN · On-site

Cambria is looking for a hands-on Data Engineering Manager to lead the engineering function and empowers decision-making with reliable, scalable, accessible data. In this role, you will serve as both ...

Daikin

Data Engineering Manager

Waller, TX · On-site

The Manager, Data Engineering is responsible for overseeing the design, development, and maintenance of robust, scalable, and high-performance data systems that support business intelligence ...

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Data Engineering information

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$46K

$165K

$243.5K

How much do data engineering jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data engineering in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

Is AI replacing data engineers?

AI is automating certain tasks within data engineering, such as data cleaning and pipeline management, but it does not replace the need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Spark, and cloud platforms remains critical for managing data workflows and ensuring data quality.

What work does a data engineer do?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

What are the typical daily responsibilities of a Data Engineer?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

What engineers make 500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn salaries of $500,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

What is a Data Engineering job?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What jobs make $1,000,000 a year?

In data engineering, earning $1,000,000 annually is rare and typically involves senior roles such as lead data engineers or those working in high-paying industries like finance or technology, often with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Most high earners in this field also supplement income through equity, bonuses, or consulting. Such compensation levels are uncommon and usually require a combination of expertise, strategic position, and company size.

What are the key skills and qualifications needed to thrive in the Data Engineering position, and why are they important?

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

More about Data Engineering jobs
What cities are hiring for Data Engineering jobs? Cities with the most Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Data Engineering jobs? States with the most job openings for Data Engineering jobs include:
What job categories do people searching Data Engineering jobs look for? The top searched job categories for Data Engineering jobs are:
Data Engineering jobs near you
Infographic showing various Data Engineering job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 2% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Manager, Data Engineering

Manager, Data Engineering

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Posted 8 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

14th of 138 rated financial services

Job description

Advice & Wealth Management Technology (AWMT) is seeking a Data Engineering Manager to lead a team delivering scalable data platforms and products that power personalized financial advice.
You will own delivery, engineering standards, and talent development while partnering across product, analytics, and ML teams to enable production-grade data and GenAI capabilities.
Responsibilities:
  • Lead a team of data engineers to build and operate scalable, reliable data pipelines and platforms
  • Drive engineering excellence (code quality, CI/CD, testing, observability, incident management)
  • Partner with product and analytics to prioritize and deliver high-impact data use cases
  • Own production support, incident response, and continuous improvement of data systems
  • Establish and scale DataOps practices across development and operations
  • Collaborate across AWMT D&A to enable data products that support personalization and analytics
  • Hire, develop, and grow engineering talent and future tech leads
  • End-to-end delivery and operation of data pipelines and platforms supporting advice products
  • Engineering quality, reliability, and standardization across your team
  • Talent development for data engineers and tech leads
  • Cross-team alignment with product, analytics, and ML engineering
  • Improving reliability and observability of production data pipelines
  • Driving adoption of consistent pipeline frameworks and engineering standards
  • Enabling scalable data foundations for ML and GenAI use cases
  • Strengthening team execution, prioritization, and stakeholder trust

Qualifications:
  • Experience leading data engineering teams delivering production data platforms
  • Strong understanding of modern data architectures and cloud-based data ecosystems
  • Track record of improving engineering quality, reliability, and delivery at scale
  • Experience partnering with product, analytics, and ML teams
  • Demonstrated ability to develop engineers and build high-performing teams
  • Cloud-native data platforms (AWS: S3, Glue, Athena, etc.)
  • Batch and event-driven data pipelines
  • Data modeling and large-scale data processing
  • Data platforms supporting ML and GenAI use cases
  • Observability, monitoring, and operational excellence for data systems
  • Minimum of eight years data analytics, programming, database administration, or data management experience.
  • Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

Nice to have:
  • Exposure to ML or GenAI data workflows
  • Financial services or regulated environment experience

Special Factors
Sponsorship
Vanguard is offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What Vanguard employees say

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