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Data Engineering Jobs (NOW HIRING)

Diverse Lynx

data engineering

Dallas, TX

$113K - $136K/yr

Must Have Technical/Functional Skills • 8-10+ years overall experience in data engineering or related fields. • 3-5 years hands-on experience with Databricks and Spark. • Strong proficiency in ...

Diverse Lynx

data engineering

Naperville, IL

Data Engineer Role Descriptions: 10 years of experience in data engineering or ETL development. Strong hands-on experience with Talend (ETL), IBM DataStage, Python (pandas| PySpark| API integrations ...

Charles Schwab Inc.

Data Engineering

Phoenix, AZ · On-site

$91K - $204K/yr

The Manager, Data Engineering is an individual contributor role. This role supports the creation, maintenance, and operational support of business-unit data assets, data mart solutions, reporting ...

New

Purple Drive Technologies

Data Engineering

Sunnyvale, CA · On-site

$134K - $161K/yr

Collaborate with data scientists and ML engineers to integrate solutions with Vertex AI and other cloud-based AI/ML platforms. * Implement containerized solutions with Docker & Kubernetes and manage ...

hireVouch

Manager, Data Engineering

Manager of Data Engineering Location: Toronto/GTA Company Overview: Our client is a premier Data Cloud and Business Intelligence consulting company specializing in helping businesses harness the ...

ALLOBAAS

Data Engineering Lead

Lakewood, OH

The Data Engineering Lead plays a critical and strategic role in advancing FMHC's enterprise data transformation and analytics enablement efforts. This role provides technical leadership, direction ...

Contexture

Manager, Data Engineering

Phoenix, AZ · On-site +1

$7.5K - $8.7K/mo

MANAGER, DATA ENGINEERING Job Code: MGRDE Reports To: Director, Data Operations and Engineering Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $7,599 Hiring Range ...

Astrana Health, Inc.

$140K - $160K/yr

Data - Engineering Employment Type: Full Time Location: 1668 S. Garfield Ave. 2nd Floor, Alhambra, CA 91801 Compensation: $140,000 - $160,000 / year Description We are seeking a highly motivated ...

Vanguard

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)

CRH

Manager, Data Engineering

Atlanta, GA · On-site

Manager, Data Engineering AMAT Atlanta, Georgia, United States Job ID: 525350 CRH's Americas Materials division is the leading integrated supplier of aggregates, asphalt, ready mixed concrete and ...

Contexture

Manager, Data Engineering

Phoenix, AZ · On-site

$7.5K - $8.7K/mo

MANAGER, DATA ENGINEERING Job Code: MGRDE Reports To: Director, Data Operations and Engineering Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $7,599 Hiring Range ...

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Data Engineering information

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$46K

$165K

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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.
data engineering

data engineering

Diverse Lynx

Dallas, TX

$113K - $136K/yr

Other

Posted 6 days ago

Job description

Must Have Technical/Functional Skills
• 8-10+ years overall experience in data engineering or related fields.
• 3-5 years hands-on experience with Databricks and Spark.
• Strong proficiency in SQL and data analysis techniques.
• Experience with ETL processes, data modeling, and performance tuning.
• Familiarity with Python or Scala for data engineering tasks.
• Excellent problem-solving and communication skills.
Roles & Responsibilities
We are seeking a hands-on Databricks Data Engineer to design, develop, and optimize data pipelines and analytics solutions. The ideal candidate will have strong experience in data engineering, ETL development, and production support, ensuring reliable, scalable, and high-performing data operations within Azure environment and can work in a fast-paced environment. Knowledge of insurance domain and Power BI is a plus but not mandatory.
Development
• Design, develop, and deploy scalable ETL/ELT data pipelines using Apache Spark, PySpark, and Databricks.
• Develop and optimize SQL queries for data transformation and analysis.
• Collaborate with product owners, data architects and analysts to build data models, delta lake structures, and data workflows.
• Collaborate with data analysts and business teams to deliver actionable insights.
• Build job orchestration and monitoring solutions
• Ensure data quality, performance, and reliability across workflows.
• Develop and maintain CI/CD pipelines for Databricks notebooks, jobs, and workflows.
• Work with cloud-based data platforms (Azure preferred).
Production Support
• Provide L2/L3 support for Databricks production jobs, resolving incidents and performance issues.
• Monitor and troubleshoot Spark jobs, cluster performance, job failures, and resource utilization.
• Ensure data pipelines meet SLAs and data accuracy standards.
• Coordinate with infrastructure and DevOps teams to optimize cluster management and costs.
• Perform root cause analysis (RCA) and implement long-term fixes for recurring issues.
• Maintain documentation for production jobs, data flows, and incident management procedures.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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