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Enterprise Data Engineer Jobs (NOW HIRING)

Trustmark

Enterprise Data Engineer

Ridgeland, MS · On-site

$80 - $120/hr

Overview The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements. Responsibilities * Builds and maintains complex systems and ...

Trustmark Bank

Enterprise Data Engineer

Ridgeland, MS · On-site +1

$99K - $119K/yr

Overview The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements. Responsibilities * Builds and maintains complex systems and ...

AMSYS Talent

Enterprise Data Architect

Houston, TX · On-site

Enterprise Data Architect Immediate opening for a hands-on Enterprise Data Architect to support a ... Hands-on data engineering experience with SQL design, development, maintenance, and performance ...

New

Stanford Health Care

Sr. Enterprise Data Engineer

Alto, TX · On-site

$66.52 - $88.14/hr

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.

Trustmark Bank

$117K - $140K/yr

Overview The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements. Responsibilities * Builds and maintains complex systems and ...

TiltEdge Solutions LLC

Data Engineer

Jersey City, NJ · On-site

$75/hr

We are seeking a hands-on Data Engineer with strong experience in building scalable enterprise data solutions within Financial Services environments. The ideal candidate will have expertise in cloud ...

Trustmark Bank

Enterprise Data Engineer

Ridgeland, MS · On-site +1

$99K - $119K/yr

Overview The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements. Responsibilities * Builds and maintains complex systems and ...

IP Corporation

Sr. Data Engineer

Saint Paul, MN · On-site

$115K - $145K/yr

Sr. Data Engineer, Microsoft Fabric & Power BI Location: Vadnais Heights, MN (Hybrid) What is IP ... Land, transform, cleanse, and model enterprise data within OneLake, Lakehouse, and Warehouse ...

Prophecy Technologies

Enterprise Data Architect

The Enterprise Data Architect will provide leadership to accelerate strategic initiatives ... Collaborate with business, application, integration, and engineering teams to resolve architecture ...

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

$130 - $200/hr

Partner with engineering, analytics, and business teams to operationalize scalable data products and enterprise data domains. * Evaluate and implement modern data architecture tooling including ...

INFOSYS NOVA HOLDINGS LLC

Data Engineer

Charlotte, NC · On-site

$100K - $130K/yr

Data Engineer Location: Charlotte, NC (Hybrid) Schedule: Full-Time | Hybrid (3 days onsite ... Design, develop, and maintain enterprise ETL/data integration pipelines. * Build and optimize data ...

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Enterprise Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do enterprise data engineer jobs pay per year?

As of Aug 22, 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 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.

What are the key skills and qualifications needed to thrive as an enterprise data engineer?

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.
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Enterprise Data Engineer jobs near you
Infographic showing various Enterprise Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Enterprise Data Engineer

Trustmark

Ridgeland, MS • On-site

$80 - $120/hr

Other

Posted 4 days ago

Job description

Overview

The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements.

Responsibilities
  • Builds and maintains complex systems and infrastructures that collect and process data according to company needs and goals.
  • Builds, evolves, and scales out infrastructure to ingest, process and extract meaning from data.
  • Designs, develops, and implements mathematical or statistical models to carry out various novel aspects of classification and information extraction from data.
  • Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. Analyzes data to spot anomalies, trends, and correlate similar data sets.
  • Designs, develops, and implements natural language processing software modules.
  • Uses advanced techniques, theories, and processes to troubleshoots problems, identifies possible solutions, and resolves accordingly.
  • Associates are expected to perform all additional duties as assigned.
Qualifications
  • Bachelor's degree in Data or Computer Science, or equivalent certification.
  • 4 years of experience with modern ETL platforms, such as IBM Datastage, Informatica, Snowpipe, Azure, AWS, etc.
  • Strong knowledge of relational databases, data warehousing and data modeling concepts
  • Moderate to advanced proficiency in database languages such as SQL, Python, etc.
  • Use of advanced techniques, theories, and processes to complete work
  • Competency and capability to perform work independently, and in team environment
  • Oral and written communication skills
  • Advanced computer skills
  • Technical expertise with data warehouse tools
  • Analytical thinking skills
  • Problem-solving skills
  • Master’s degree relevant to data or computer sciences or equivalent certification preferred.

Physical Requirements/Working Conditions: Must be able to sit for long periods of time and use computer keyboard and/or mouse, while viewing computer screens.

Disclaimer: Management retains the right to add, delete or modify the responsibilities and qualifications of the position at any time.

Trustmark Bank does not accept unsolicited resumes from agencies and/or search firms for any job postings on this site. Resumes submitted to any Trustmark Bank employee by a third-party agency and/or search firm without a valid, written search agreement signed by Trustmark, will become the sole property of Trustmark Bank. No fee will be paid if a candidate is hired for a position as a result of an unsolicited agency or search firm referral.

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