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Data Engineering Jobs (NOW HIRING)

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 ...

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 ...

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.

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 ...

Architect, Data Engineering

Arlington, VA · On-site +1

$170K - $190K/yr

Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and Cloud Migration & Modernization -- all delivered on Databricks, with deep partnerships across AWS, Azure ...

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 ...

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 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.

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 ...

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 ...

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 ...

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 ...

Work From Home Work From Home Work From Home, Indiana 46544 The Manager of Data Engineering leads a team responsible for building and maintaining reliable, scalable data pipelines and models that ...

This role involves leading the Data Engineering team to enhance analytics capabilities and ensure efficient data utilization across the organization. Responsibilities : • Build, lead, and manage ...

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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 Jul 7, 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, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and optimized 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, specialized skills in cloud platforms, and advanced knowledge of data architecture can earn salaries approaching or exceeding $500,000 annually, 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.

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 typically require skills in SQL, cloud platforms, and data pipeline tools like Apache Spark or Kafka, making their expertise valuable across many industries. The role is expected to remain strong as organizations continue to prioritize data infrastructure and analytics capabilities.

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.

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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Manager, Data Engineering

Manager, Data Engineering

CRH

Atlanta, GA • On-site

Full-time

Medical, Dental, Retirement

Posted 26 days ago


Job description

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 paving and construction services in North America. Our operations span North America with over 29,000 employees at close to 1,660 locations in 45 US States and 2 Canadian provinces.
Position Overview
The Manager, Data Engineering is a self-directed technical leader responsible for managing the design, development, and delivery of scalable, enterprise data solutions. This role leads the planning and implementation of data engineering initiatives across the full lifecycle-from requirements definition through deployment and support-while ensuring alignment with enterprise data strategy and business priorities.
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. This role partners cross-functionally with business stakeholders, analytics teams, and IT functions to deliver reliable, high-quality data products.
The ideal candidate is a pragmatic, analytical leader with strong technical expertise and excellent communication skills. He/she will drive collaboration across teams, influence stakeholders, and ensure successful execution of complex data initiatives while maintaining delivery timelines, quality standards, and operational controls.
This role offers the opportunity to lead and shape enterprise-scale data and analytics capabilities within CRH. The successful candidate will work with modern cloud technologies and a forward-looking data platform while partnering with a collaborative, high-impact team driving data transformation across the organization. This position provides the ability to influence strategic initiatives at the intersection of business and technology.
Key Responsibilities (Essential Duties and Functions)
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily.
  • Lead the design, development, and implementation of scalable, reusable data pipelines and data products
  • Translate business requirements into technical solutions in collaboration with stakeholders and analytics teams
  • Define scope, milestones, and deliverables aligned with strategic business priorities
  • Establish and enforce engineering best practices, including modular design, testing frameworks, and CI/CD pipelines
  • Ensure high standards of data quality, governance, lineage, and auditability across all solutions
  • Manage end-to-end delivery of data engineering initiatives using agile or hybrid methodologies
  • Identify and manage dependencies, risks, and issues, developing mitigation plans as needed
  • Oversee release management processes, including planning, scheduling, and deployment across environments
  • Implement structured change management processes ensuring controlled and auditable releases
  • Coordinate efforts across cross-functional teams including MDM, analytics, ERP, and business units
  • Lead, mentor, and develop a high-performing data engineering team
  • Provide technical guidance and performance management to team members
  • Drive adoption of modern cloud-based data platforms and tools
  • Promote continuous improvement, innovation, and engineering excellence
  • Evaluate emerging technologies and recommend enhancements aligned with enterprise architecture
  • Build and maintain strong relationships with stakeholders to support successful delivery and adoption of data solutions
  • Other duties as assigned by management

Qualifications
Education / Experience
  • Minimum of 10 years of experience in data engineering, data warehousing, or analytics delivery
  • Minimum of 3 years of experience leading technical teams or data engineering functions
  • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field
  • Experience working in complex, cross-functional enterprise environments preferred
  • Experience delivering large-scale, enterprise data initiatives

Work Requirements
  • Must be 18 years in age or older
  • Candidates must be able to successfully complete pre-employment screenings, including a background check and drug test, in accordance with applicable laws and company policies.
  • Strict adherence to safety requirements and procedures as outlined in the Employee Handbook
  • Ability to work independently and within a team environment
  • Must be available to travel as required

Knowledge / Skill Requirements
  • Strong expertise in data warehousing concepts, SQL, and data modeling
  • Experience with modern data platforms (e.g., Snowflake, Azure Data Services, dbt)
  • Proficiency in programming languages such as Python
  • Experience building scalable ETL/ELT pipelines and data processing frameworks
  • Experience implementing CI/CD pipelines using tools such as Azure DevOps and Git
  • Knowledge of data quality frameworks, testing strategies, and governance practices
  • Familiarity with ERP systems (e.g., SAP S/4HANA) and enterprise data integration
  • Ability to lead and influence cross-functional teams in a matrixed organization
  • Strong oral and written communication skills
  • Ability to translate complex technical concepts into business-friendly language
  • Strong problem-solving and analytical skills with a focus on delivering business value
  • Experience working within agile delivery frameworks and structured release processes
  • Ability to manage multiple initiatives in a fast-paced environment
  • Strong leadership skills with the ability to mentor and develop team members
  • Ability to prioritize and execute tasks under pressure while maintaining quality and accuracy
  • Self-directed with the ability to drive results and influence stakeholders
  • Encourages innovation and continuous improvement

Physical Requirements
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
  • Able to communicate with others by telephone and in person
  • Able to utilize a computer for word processing, email communication, and preparation of documents and presentations
  • May require sitting for extended periods of time

Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.
  • Usually, normal office working conditions; noise level is typically quiet
  • May require work outside of normal business hours

The statements included in this job description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job. Other duties may be assigned as required. Requirements for this job are subject to modification by the Company and its designees, and reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
What CRH Offers You
  • Highly competitive base pay
  • Comprehensive medical, dental and disability benefits programs
  • Group retirement savings program
  • Health and wellness programs
  • An inclusive culture that values opportunity for growth, development, and internal promotion

About CRH
CRH has a long and proud heritage. We are a collection of hundreds of family businesses, regional companies and large enterprises that together form the CRH family. CRH operates in a decentralized, diversified structure that allows you to work in a small company environment while having the career opportunities of a large international organization.
If you're up for a rewarding challenge, we invite you to take the first step and apply today! Once you click apply now, you will be brought to our official employment application. Please complete your online profile and it will be sent to the hiring manager. Our system allows you to view and track your status 24 hours a day. Thank you for your interest!
CRH Americas Materials Inc. is an Affirmative Action and Equal Opportunity Employer.
EOE/Vet/Disability
CRH is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.
AI tools may be used in certain stages of the employment lifecycle, such as candidate review; however, all final employment decisions will be made by a person.

CRH logo

About CRH

Sourced by ZipRecruiter

CRH has a long and proud heritage as one of North America's largest corporations. We are a proud reflection of the hundreds of family businesses, local and regional companies and mid to large sized enterprises that together form the CRH family. CRH operates with a decentralized, diversified structure, letting you work in a small company environment while having the career opportunities of a large enterprise.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Dublin, Dublin, IE