ZipRecruiter

Log In

1

Enterprise Data Engineer Jobs (NOW HIRING)

Stanford Health Care

Sr. Enterprise Data Engineer

Palo Alto, CA · On-site

$124.80K - $169.50K/yr

A Brief Overview The Senior Enterprise Data Engineer is responsible for designing and creating complex pipelines and curated data structures/products for use by data analysts across the organization.

Wabash

Director, Enterprise Data

Lafayette, IN

Partner closely with IT, Cloud, ERP, and Digital Product and Software Engineering teams to modernize legacy systems and integrate complex data sources. * Drive architectural decisions relating to ...

Esri

System Engineer- Enterprise Data Engineer

Washington, DC · On-site

$120.70K - $150.10K/yr

Esri is a leading company in GIS technology, and they are seeking a System Engineer- Enterprise Data Engineer to partner with customers on enterprise database design and implementation strategies.

Resideo

Lead Enterprise Data Architect

Saint Louis, MO · On-site

Enterprise Data Architect We are seeking an experienced and passionate Enterprise Data Architect to ... Ensure architectural alignment across data engineering, analytics, MDM, governance, and application ...

Esri

System Engineer- Enterprise Data Engineer

Redlands, CA · On-site

$107.70K - $133.80K/yr

Esri is a leading company in geospatial technology, and they are seeking a Senior System Engineer specialized in Enterprise Data Engineering. The role involves partnering with customers on database ...

Ingevity

Data Engineer

North Charleston, SC

$109.20K - $131.20K/yr

Data Engineer Ingevity is expanding the maturity and reach of its enterprise data platform to support advanced analytics, AI-enabled workflows, and the next generation of intelligent business ...

Ingevity

Data Engineer

North Charleston, SC · On-site

$109.20K - $131.20K/yr

Data Engineer Ingevity is expanding the maturity and reach of its enterprise data platform to support advanced analytics, AI-enabled workflows, and the next generation of intelligent business ...

Team Red Dog

AI Data Engineer 3

Redmond, WA

$128.20K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

Team Red Dog

AI Data Engineer 3

Redmond, WA · On-site

$128.20K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

next page

Showing results 1-20

People also search for

All JobsEnterprise Data Engineer Jobs

Enterprise Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do enterprise data engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for enterprise data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Enterprise Data Engineer, and why are they important?

To thrive as an Enterprise Data Engineer, you need a solid background in data modeling, database management, and programming languages such as SQL, Python, or Scala, usually supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), ETL tools, and cloud services (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualities are essential for building scalable data solutions, ensuring data integrity, and facilitating cross-functional business insights.

How does an Enterprise Data Engineer typically collaborate with other teams within an organization?

Enterprise Data Engineers frequently work alongside data scientists, business analysts, and IT teams to design and implement robust data pipelines and architectures. They play a crucial role in translating business requirements into scalable data solutions and often participate in cross-functional meetings to ensure alignment on data strategy and governance. Effective communication and teamwork are essential, as data engineers must coordinate with stakeholders to ensure data quality, accessibility, and security across various enterprise platforms.

What is an Enterprise Data Engineer?

An Enterprise Data Engineer is a professional responsible for designing, building, and managing large-scale data infrastructure and pipelines within an organization. They ensure that data is collected, stored, processed, and made available efficiently and securely across the enterprise. Their work supports analytics, business intelligence, and decision-making by enabling reliable data flow between systems. Enterprise Data Engineers often collaborate with data scientists, analysts, and IT teams to implement best practices in data architecture, governance, and integration.
More about Enterprise Data Engineer jobs
What job categories do people searching Enterprise Data Engineer jobs look for? The top searched job categories for Enterprise Data Engineer jobs are:
Enterprise Data Engineer jobs near you
Infographic showing various Enterprise Data Engineer job openings in the United States as of May 2026, with employment types broken down into 49% Full Time, 39% Part Time, 11% Contract, and 1% Nights. Highlights an 53% Physical, 10% Hybrid, and 37% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Sr. Enterprise Data Engineer

Stanford Health Care

Palo Alto, CA • On-site

$124.80K - $169.50K/yr

Full-time

Posted 16 days ago

Job description

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered.
Day - 08 Hour (United States of America)
This is a Stanford Health Care job.
This role will develop data ingestion processes to the SHC Enterprise Data Platform (Lake), create data pipelines and other solutions, and automate development and operational processes to enable Data Products and solutions that improve the patient experience, patient outcomes, research capabilities, and operational results.
A Brief Overview
The Senior Enterprise Data Engineer is responsible for designing and creating complex pipelines and curated data structures/products for use by data analysts across the organization. This position is also responsible consultation and support of other data engineers in the design, development and implementation of data movement processes to populate the data structures designed.
This position exists to provide data solutions for broad and consistent use across the SHC enterprise.
Locations
Stanford Health Care
What you will do
  • With advanced technical knowledge and skills, collaborates with leaders and users to create, test and implement complex stores , data pipelines, etc. based on understanding of business needs and requirements.
  • Responsible for the research, road mapping and maintaining performance of SHC's standard data modeling, DevOps and development tools and processes.
  • Explore and innovate with new technologies to create solutions, enhance development and/or operational efficiency, etc.
  • Without supervision, performs analysis, development, and testing of complex data marts, and support other data engineers in performing these tasks, and encourages use of the solutions for data-driven decision making.
  • Possesses an advanced understanding of many data domains across SHC and uses it to produce high quality solutions.
  • Build strong working relationships with users and team members, including Directors and above. Gains trust and respect of key users.
  • Understands advanced data governance principles and practices and actively participates as a technical data steward in metadata, data quality, and other data governance areas and activities. Assists in identification and resolution of data quality issues.
  • Manage multiple complex activities. Manage tasks, dependencies, and user/team expectations regarding scope and timeline of solution delivery.
  • Provides project management / project leadership as appropriate to drive timelines and deliverables of projects across multiple departments/functions
  • Participates in and contributes to project working groups with team members, users, analysts, clinicians, and SHC leadership.
  • Leads teams to define design and development standards and conduct peer reviews of solution designs for compliance with such standards.
  • Defines analytics standards and best practices and support business data analysts in training and adoption of these standards.
  • Participates in and actively contributes to SHC analytics community meetings
  • Tune performance of complex solutions.
  • Troubleshoots and performs root cause analysis of incidents and establishes countermeasures to improve supported solutions.

Education Qualifications
  • BS/BA DEGREE IN INFORMATION TECHNOLOGY, INFORMATION SYSTEMS, BUSINESS MANAGEMENT, BUSINESS ANALYTICS, BUSINESS ADMINISTRATION OR A DIRECTLY RELATED FIELD FROM AN ACCREDITED COLLEGE OR UNIVERSITY REQUIRED.

Experience Qualifications
  • 7 (SEVEN) OR MORE YEARS' OF EXPERIENCE IN REPORTING, ANALYTICS, BUSINESS INTELLIGENCE OR HEALTHCARE TECHNOLOGY.
    OR 3 (THREE) OR MORE YEARS' DEVELOPMENT EXPERIENCE IN CLOUD DATALAKE TECHNOLOGIES (I.E., PYSPARK NOTEBOOKS/PIPELINES ON DATABRICKS) UTILIZING DEVOPS, CI/CD, ORCHESTRATION PROCESSES REQUIRED.

Required Knowledge, Skills and Abilities
  • Advanced knowledge of relational database concepts and design
  • Advanced data modeling skills, ability to translate business requirements into logical and physical database designs for moderate to large complex projects.
  • Ability to develop solutions in cloud data platforms (i.e., Azure, DataBricks, etc.) and technologies (i.e., PySpark, Notebooks, GitHub, etc.) to deploy production solutions in a secure and highly automated manner.
  • Expert knowledge of SQL. Proficient with ability to relate and use data across multiple data domains.
  • Expert knowledge and skills in SHC's standard development and design tools and general DevOps concepts/practices.
  • Tune performance of moderately complex solutions.
  • Troubleshoots and performs root cause analysis of incidents and establishes countermeasures to improve supported solutions.
  • Able to work without direct supervision. Provides regular updates to supervisor on pending tasks, pain points, and potential roadblocks.
  • Demonstrated ability for completing complex projects.
  • Work is of good quality with only rare problems or defects with moderate to complex solutions.
  • Can successfully present moderately complex ideas and information to a variety of audiences, including senior managers and industry groups. Effective verbal, written, and interpersonal communication skills.
  • Helps fulfill SHC's vision. Understands how their work supports the vision and proposes better ways to achieve the vision.

These principles apply to ALL employees:
SHC Commitment to Providing an Exceptional Patient & Family Experience
Stanford Health Care sets a high standard for delivering value and an exceptional experience for our patients and families. Candidates for employment and existing employees must adopt and execute C-I-CARE standards for all of patients, families and towards each other. C-I-CARE is the foundation of Stanford's patient-experience and represents a framework for patient-centered interactions. Simply put, we do what it takes to enable and empower patients and families to focus on health, healing and recovery.
You will do this by executing against our three experience pillars, from the patient and family's perspective:
  • Know Me: Anticipate my needs and status to deliver effective care
  • Show Me the Way: Guide and prompt my actions to arrive at better outcomes and better health
  • Coordinate for Me: Own the complexity of my care through coordination

Equal Opportunity Employer Stanford Health Care (SHC) strongly values diversity and is committed to equal opportunity and non-discrimination in all of its policies and practices, including the area of employment. Accordingly, SHC does not discriminate against any person on the basis of race, color, sex, sexual orientation or gender identity and/or expression, religion, age, national or ethnic origin, political beliefs, marital status, medical condition, genetic information, veteran status, or disability, or the perception of any of the above. People of all genders, members of all racial and ethnic groups, people with disabilities, and veterans are encouraged to apply. Qualified applicants with criminal convictions will be considered after an individualized assessment of the conviction and the job requirements.
Base Pay Scale: Generally starting at $66.52 - $88.14 per hour
The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training. This pay scale is not a promise of a particular wage.

Apply