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Project Field Engineer- Civil
Lemartec
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Must have a Bachelor of Science degree in an engineering discipline from an accredited university
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Senior Solaris Engineer
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Torrance, CA
- $150,000 to $210,000 USD / year
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CONSTRUCTION SURVEILLANCE ENGINEER
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Full Stack Engineer 181522
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AID&E - Databricks Data Engineer - Manager - Tech Cons - Open Location

EY · Buffalo, NY, United States · Tucson, AZ, United States · Iselin, NJ, United States · Minneapolis, MN, United States · Tulsa, OK, United States · Fort Worth, TX, United States · Charleston, WV, United States · Las Vegas, NV, United States · Rochester, NY, United States · Palo Alto, CA, United States · Greenville, SC, United States · Richmond, VA, United States · Sacramento, CA, United States · Boca Raton, FL, United States · Baton Rouge, LA, United States · Huntsville, AL, United States · Akron, OH, United States · St. Louis, MO, United States · Austin, TX, United States · Los Angeles, CA, United States · Providence, RI, United States · Rogers, AR, United States · Charlotte, NC, United States · San Diego, CA, United States · Pittsburgh, PA, United States · Wichita, KS, United States · New York, NY, United States · Houston, TX, United States · Westlake Village, CA, United States · Orlando, FL, United States · Atlanta, GA, United States · Jericho, NY, United States · Grand Rapids, MI, United States · Miami, FL, United States · Cincinnati, OH, United States · Chattanooga, TN, United States · Salt Lake City, UT, United States · Indianapolis, IN, United States · Albany, NY, United States · McLean, VA, United States · Boston, MA, United States · Milwaukee, WI, United States · Washington, DC, United States · Portland, OR, United States · Chantilly, VA, United States · San Mateo, CA, United States · Denver, CO, United States · Oklahoma City, OK, United States · Detroit, MI, United States · Memphis, TN, United States · Southfield, MI, United States · Birmingham, AL, United States · Irvine, CA, United States · Tallahassee, FL, United States · Kansas City, MO, United States · Raleigh, NC, United States · Nashville, TN, United States · Jacksonville, FL, United States · San Antonio, TX, United States · Louisville, KY, United States · Philadelphia, PA, United States · Toledo, OH, United States · Secaucus, NJ, United States · Tampa, FL, United States · New Orleans, LA, United States · Hoboken, NJ, United States · Grandview Heights, OH, United States · Phoenix, AZ, United States · Seattle, WA, United States · Alpharetta, GA, United States · Arlington, VA, United States · Stamford, CT, United States · Des Moines, IA, United States · Cleveland, OH, United States · New Brunswick, NJ, United States · San Jose, CA, United States · Dallas, TX, United States · Hartford, CT, United States · Baltimore, MD, United States · San Francisco, CA, United States · Chicago, IL, United States

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AID&E - Databricks Data Engineer - Manager - Tech Cons - Open Location

Buffalo, NY, United States
Tucson, AZ, United States
Iselin, NJ, United States
Minneapolis, MN, United States
Tulsa, OK, United States
Fort Worth, TX, United States
Charleston, WV, United States
Las Vegas, NV, United States
Rochester, NY, United States
Palo Alto, CA, United States
Greenville, SC, United States
Richmond, VA, United States
Sacramento, CA, United States
Boca Raton, FL, United States
Baton Rouge, LA, United States
Huntsville, AL, United States
Akron, OH, United States
St. Louis, MO, United States
Austin, TX, United States
Los Angeles, CA, United States
Providence, RI, United States
Rogers, AR, United States
Charlotte, NC, United States
San Diego, CA, United States
Pittsburgh, PA, United States
Wichita, KS, United States
New York, NY, United States
Houston, TX, United States
Westlake Village, CA, United States
Orlando, FL, United States
Atlanta, GA, United States
Jericho, NY, United States
Grand Rapids, MI, United States
Miami, FL, United States
Cincinnati, OH, United States
Chattanooga, TN, United States
Salt Lake City, UT, United States
Indianapolis, IN, United States
Albany, NY, United States
McLean, VA, United States
Boston, MA, United States
Milwaukee, WI, United States
Washington, DC, United States
Portland, OR, United States
Chantilly, VA, United States
San Mateo, CA, United States
Denver, CO, United States
Oklahoma City, OK, United States
Detroit, MI, United States
Memphis, TN, United States
Southfield, MI, United States
Birmingham, AL, United States
Irvine, CA, United States
Tallahassee, FL, United States
Kansas City, MO, United States
Raleigh, NC, United States
Nashville, TN, United States
Jacksonville, FL, United States
San Antonio, TX, United States
Louisville, KY, United States
Philadelphia, PA, United States
Toledo, OH, United States
Secaucus, NJ, United States
Tampa, FL, United States
New Orleans, LA, United States
Hoboken, NJ, United States
Grandview Heights, OH, United States
Phoenix, AZ, United States
Seattle, WA, United States
Alpharetta, GA, United States
Arlington, VA, United States
Stamford, CT, United States
Des Moines, IA, United States
Cleveland, OH, United States
New Brunswick, NJ, United States
San Jose, CA, United States
Dallas, TX, United States
Hartford, CT, United States
Baltimore, MD, United States
San Francisco, CA, United States
Chicago, IL, United States

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Job details

Education: Bachelor’s degree
Experience: Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
Posting language: English
Posted: Nov 10, 2026

Original job description

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills.

The opportunity:

In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include:

Understanding and analyzing business requirements to translate them into technical requirements.
Designing, building, and operating scalable data architecture and modeling solutions.
Staying up to date with the latest trends and emerging technologies to maintain a competitive edge.

Key Responsibilities:

As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including:

Leading workstream delivery and ensuring quality in all processes.
Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services.
Implementing resource plans and budgets while managing engagement economics.

This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs.

Skills and attributes for success:

To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact:

Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP).
Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices.
Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement.
Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value.
Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance.
Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services.
Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress.
Manage client relationships and expectations, ensuring high levels of satisfaction and engagement.
Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics.
Strong analytical and problem-solving abilities.
Excellent communication skills, with the ability to convey complex information clearly.
Proven experience in managing and delivering projects effectively.
Ability to build and manage relationships with clients and stakeholders.

To qualify for the role, you must have:

Bachelor’s degree in computer science, Engineering, or a related field required; Master’s degree preferred.
Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics.
Proven expertise in Databricks and experience with Spark for big data processing.
Hands-on experience with AI-native data engineering practices, such as using generative AI and agentic workflows to accelerate pipeline development, testing, documentation, and optimization.
Strong background in data architecture and design, with experience in building complex cloud analytics solutions.
Experience in leading and managing teams, with a focus on mentoring and developing talent.
Strong programming skills in languages such as Python, Scala, or SQL.
Familiarity with AI-powered IDEs and coding assistants (e.g., Cursor, GitHub Copilot, Databricks Assistant) and their use in day-to-day data engineering development.
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication and interpersonal skills, with a focus on client management.

Required Expertise for Managerial Role:

Strategic Leadership: Ability to align data engineering initiatives with organizational goals and drive strategic vision.
Project Management: Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope.
Stakeholder Engagement: Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively.
Change Management: Skills in guiding clients through change processes related to data transformation and technology adoption.
Risk Management: Ability to identify potential risks in data projects and develop mitigation strategies.
Technical Leadership: Experience in leading technical discussions and making architectural decisions that impact project outcomes.
Documentation and Reporting: Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients.

Large-Scale Implementation Programs:

Enterprise Data Lake Implementation: Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities.
Real-Time Analytics Platform: Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing.
Data Warehouse Modernization: Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting.

Ideally, you’ll also have:

Experience with advanced data analytics tools and techniques.
Familiarity with machine learning concepts and applications.
Knowledge of industry trends and best practices in data engineering.
Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
Knowledge of data governance and compliance standards.
Experience with machine learning frameworks and tools.

What we look for:

We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you.

What we offer you At EY, we harness our collective strength to empower you to shape your future with confidence through professional growth, personal fulfillment and an inclusive culture. Learn more at ey.com/us/careers.

The salary range for this job is:
New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $150,700 to $251,200
Bay Area California offices – $157,100 to $261,600
All other offices locations in the US, including Sacramento – $125,500 to $230,200
Individual salaries within these ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Are you ready to shape your future with confidence? Apply today.

To make the most of your application experience, please limit yourself to two applications within a six-month period.
EY accepts applications for this position on an on-going basis.
For those living in California, please click here for additional information.
At EY, our values set the foundation for how we work and the behaviors we expect of our people. Any misrepresentation or falsification of information or lack of integrity at any point in the recruiting process may result in withdrawal of your candidacy, revocation of an offer or immediate termination of employment.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

All in to shape the future with confidence.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at ssc.customersupport@ey.com.

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More about this job

Skills

Databricks
Data engineering
Cloud technologies
Leadership
Guide others
Interpersonal skills
AWS
Microsoft Azure
Google Cloud
Collaboration
Process improvement
Cloud computing
Problem solving
Communication skills
Computer science
Apache Spark
Process data
Documentation
Coaching
Python
Scala
SQL
GitHub
Work independently
Project management
Stakeholder management
Change management
Risk management
Reporting
Point of sale
Google Analytics
Fraud detection
Hazard assessment
Data warehouse
Data analysis
Machine learning
Regulatory compliance
Adaptability

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Jobs in the United States