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Data Engineering Jobs (NOW HIRING)

CRH

Manager, Data Engineering

Atlanta, GA · On-site

The Manager, Data Engineering will facilitate the definition of data solutions, technical architecture, and delivery plans while ensuring high standards of data quality, governance, and security.

Waylin Partners LLC

Director - 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 ...

CRH

Manager, Data Engineering

Atlanta, GA

The Manager, Data Engineering will facilitate the definition of data solutions, technical architecture, and delivery plans while ensuring high standards of data quality, governance, and security.

Gradient AI

Data Engineering Manager

Boston, MA · On-site +1

$170K - $205K/yr

We are looking for a data engineering manager to lead a team of software and data engineers who are building AI/ML models for the insurance industry. This is a fully remote opportunity. How you ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

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 ...

Dorman Products, Inc.

Data Engineering Lead

Colmar, PA · On-site

$113K - $136K/yr

Job Summary Dorman Products is seeking a Data Engineering Lead to build and scale modern data engineering capabilities while supporting our existing enterprise data environment. This role is hands-on ...

AAMC

Data Engineering Specialist

Washington, DC · On-site +1

$95K - $112K/yr

Data Engineer is a key role on a centralized data engineering team that supports a wide range of data applications across the organization.This role focuses on building and maintaining reliable ...

Vangard, Inc.

Manager, Data Engineering

Dallas, TX

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)

Vangard, Inc.

Manager, Data Engineering

Malvern, PA

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)

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 ...

Dorman Products

Data Engineering Lead

Colmar, PA · Hybrid

$113K - $136K/yr

Job Summary Dorman Products is seeking a Data Engineering Lead to build and scale modern data engineering capabilities while supporting our existing enterprise data environment. This role is ...

Smart Synergies

Data Engineering Lead

Glendale, AZ

We are seeking an experienced and highly skilled Data Engineering Lead to spearhead our data initiatives, with a primary focus on Azure Data Lake and its associated ecosystem. The ideal candidate ...

ConnectWise

OR

The Manager of Data Engineering will lead a team responsible for designing, building, and maintaining scalable data infrastructure and pipelines. This role involves collaborating with cross ...

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All JobsData Engineering Jobs

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

Astrana Health, Inc.

Alhambra, CA • On-site, Remote

$140K - $160K/yr

Full-time

Posted 29 days ago

Be an early applicant

Job description

Description
We are seeking a highly motivated Manager - Data Engineering to join our growing team. This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal candidate is a strong technical leader with a passion for mentoring others and delivering scalable, high-quality data solutions. You will collaborate closely with data analysts, data scientists, technology teams, and business leaders to design and implement robust data pipelines and platforms that support internal and external clients. With over a million managed lives across the country and terabytes of healthcare data generated, your leadership will be critical to empowering our organization with the tools and insights needed to drive innovation and improve patient outcomes.
Our Values:  
  • Put Patients First  
  • Empower Entrepreneurial Provider and Care Teams  
  • Operate with Integrity & Excellence  
  • Be Innovative  
  • Work As One Team  

What You'll Do
  • Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence. 
  • Partner with cross-functional teams to design and implement scalable data pipelines and models aligned with business needs and industry best practices. 
  • Oversee the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets. 
  • Own and evolve data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues. 
  • Champion the adoption of automation and modern data engineering practices, driving efficiencies in pipeline management and data delivery. 
  • Guide your team in building domain knowledge around healthcare operations, ensuring data solutions comply with regulatory and security requirements. 
  • Contribute to strategic planning for the data engineering function, including resource allocation, technology selection, and process improvement initiatives. 
  • Support and enforce software development best practices, including code reviews, source control, CI/CD, and testing. 

Qualifications
  • Bachelor’s degree required in computer science, engineering, healthcare, analytics, or a related field; Master’s degree preferred. 
  • 5+ years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity. 
  • 2+ years of experience with medical claims in healthcare and/or managed care. 
  • Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure). 
  • Advanced proficiency with SQL and scripting/programming languages such as Python or Spark. 
  • Solid understanding of database structures, data modeling (normalized, star schema, snowflake), and data warehousing concepts. 
  • Experience working with Databricks or similar distributed computing platforms preferred. 
  • Familiarity with BI tools such Power BI. 
  • Deep understanding of professional software engineering practices including SDLC, version control, CI/CD, and automated testing. 
  • Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences. 
You're a great fit for this role if you: 
  • Thrive in a fast-paced environment and enjoy leading teams to solve complex data challenges. 
  • Are passionate about mentoring and growing the next generation of data engineering talent. 
  • Have a bias for action and a commitment to delivering high-quality solutions with measurable impact. 
  • Bring a collaborative, team-first mindset to everything you do. 

Environmental Job Requirements and Working Conditions
  • This position is remotely based in the U.S. 
  • The total compensation target pay range for this role is: $140,000 - $160,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.
Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at humanresourcesdept@astranahealth.com to request an accommodation. 
Additional Information: 
The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.