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Data Engineering Jobs (NOW HIRING)

Daikin Comfort is seeking a Data Engineering Manager responsible for overseeing the design, development, and maintenance of data systems that support business intelligence and analytics initiatives.

The Data Engineering Manager will lead the design and build-out of the firm's cloud-based data platform from the ground up, establishing the foundational infrastructure needed to ensure high-quality ...

Manager - Data Engineering

Irving, TX · On-site

$106K - $127K/yr

Work with data engineering related groups to inform on and showcase capabilities of emerging technologies and to enable the adoption of these new technologies and associated techniques * Define and ...

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 ...

Data Engineering Manager

New York, NY · On-site

$173K - $213K/yr

ABOUT THE ROLE Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across ...

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 ...

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.

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

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 ...

Manager, Data Engineering

Chicago, IL · On-site

$160K - $190K/yr

The Manager, Data Engineering leads the design, delivery, and reliability of TAG's enterprise data platform across our multi-brand environment. It's a hands-on leadership role covering people ...

Manager - Data Engineering

Alhambra, CA · On-site +1

$140K - $160K/yr

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 ...

Showing results 41-60

Data Engineering information

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How much do data engineering jobs pay per year?

As of Aug 9, 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.

What does a data engineer do?

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 is data engineering?

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.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They are essential for building and maintaining data pipelines, often working with tools like Apache Spark, Hadoop, and cloud platforms, and typically require strong programming and database skills. The demand is expected to remain strong as organizations continue to prioritize data infrastructure.

What skills and qualifications are needed to thrive as a data engineer?

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.

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:
Infographic showing various Data Engineering job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Engineering Manager

Daikin Comfort

Waller, TX • On-site

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Daikin Comfort is seeking a Data Engineering Manager responsible for overseeing the design, development, and maintenance of data systems that support business intelligence and analytics initiatives. The role includes mentoring a team of data engineers, optimizing data pipelines, and ensuring data quality and governance standards are met.
Responsibilities:
• Mentor, and grow a team of data engineers, ensuring high performance, engagement, and career development.
• Oversee the development and optimization of data pipelines, ELT processes, and data integration systems from various sources.
• Ensure high availability and performance of data systems.
• Optimize cost and performance of data infrastructure.
• Ensure the reliability, performance, and scalability of data infrastructure in cloud or hybrid environments.
• Collaborate with cross-functional teams including Data Science, Analytics, Product, and Engineering to support data needs and project goals.
• Define and enforce best practices for data modeling, warehousing, governance, security and quality.
• Set technical direction and standards for data architecture and engineering practices.
• Drive best practices in documentation.
• Champion automation and CI/CD
• Implement monitoring, observability, and data quality frameworks.
• Own the architecture, scalability, and reliability of the company’s data platform.
• Translate business requirements into scalable technical solutions.
• Manage technical projects from concept through implementation, including planning, prioritization, and delivery.
• Drive hiring, performance management, and career development.
• Foster a culture of ownership, quality, and continuous improvement.
• Monitor team performance and ensure adherence to timelines, budgets, and organizational goals.
• Evaluate and recommend new tools, technologies, and architectures to improve data infrastructure.
• Participate in strategic planning and roadmap development for the Data Engineering function.
• Perform other tasks as assigned
Qualifications:
Required:
• Strong proficiency in SQL and programming languages such as Python or Java.
• Experience with modern data platforms such as Snowflake.
• Expertise in building and optimizing data pipelines and architectures (batch and streaming).
• Familiarity with cloud platforms (AWS, GCP, Azure) and related data services.
• Deep understanding of data warehousing concepts, dimensional modeling, and schema design.
• Experience with DevOps and CI/CD practices in a data engineering context.
• Proficient MS Office skills – Outlook, Excel, Word and PowerPoint.
• Excellent leadership skills; able to envision, develop, direct, manage, delegate responsibility and authority and motivate an organization.
• Excellent communication skills, verbal and written; strong marketing/business acumen.
• Demonstrates consultative leadership at the individual or team level.
• Capable of communicating with people at all levels of organizations (internal/external).
• Ability to communicate and inspire a team through accountability, delegation, and recognition.
• Ability to apply good judgement, decision making skills and strong work ethics and integrity on the job.
• 8+ years of work experience in data engineering.
• 5+ years of successful leadership experience through managing projects or teams.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical field required.
Preferred:
• Master’s degree preferred.
• Equivalent practical experience will also be considered.
Company:
Daikin Comfort is an air conditioning manufacturing and service providing company. Founded in 1924, the company is headquartered in Waller, USA, with a team of 10001+ employees. The company is currently Late Stage.