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Enterprise Data Engineer Jobs (NOW HIRING)

Data Engineering & Enterprise Integrations/ Data Warehousing Salary Range: $92,196/yr - $113,890/yr plus bonus Location: Ada, MI (onsite) What we're looking for: We are seeking an experienced Data ...

Fabric Data Engineer Associate (DP-700) * Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Professional Experience: * 5-7 years of experience in data engineering, Power BI ...

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Engineer FLSA Status: Exempt Location: Dallas, TX Reports to: Lead DevOps Engineer About the ... Define and execute enterprise data warehousing strategies to support reporting, analytics ...

Data Engineer Expert

Herndon, VA ยท Hybrid

$117K - $141K/yr

Overview We are seeking an experienced Data Engineer to support a mission-focused enterprise environment, responsible for designing and implementing scalable data architectures, building data ...

Fabric Data Engineer Associate (DP-700) * Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Professional Experience: * 5-7 years of experience in data engineering, Power BI ...

Data Engineer IV

Atlanta, GA ยท On-site

$110K - $132K/yr

Data Engineer IV - Modern Enterprise / Lakehouse / AI-Assisted Location: 241 Ralph McGill Blvd, Atlanta GA, 30308 HYBRID Duration: 6 Months Client: Georgia Power Position Overview The Data Engineer ...

Data Engineer

Woodbury, NY ยท On-site +1

$125K - $150K/yr

Microsoft Fabric, ETL, and Enterprise Data Warehouse Role Summary The Senior Data Engineer will own the design, implementation, and evolution of Client's enterprise data platform, including ETL ...

Lead Data Engineer

Bridgewater, NJ ยท Hybrid

$117K - $140K/yr

Role Overview We are seeking a Lead Data Engineer to build and operate enterprise-grade data pipelines using Microsoft Azure as the orchestration layer and Snowflake as the enterprise data lake ...

Data engineer

Calhoun, GA ยท On-site +1

$101K - $121K/yr

Microsoft Fabric, ETL, and Enterprise Data Warehouse Role Summary The Senior Data Engineer will own the design, implementation, and evolution of Client's enterprise data platform, including ETL ...

System Engineer- Enterprise Data Engineer

Vienna, VA ยท On-site

$107K - $133K/yr

... design enterprise data management strategies, and implement those strategies throughout the ... You will be part of a talented cross-functional team of dynamic and passionate engineers to deliver ...

You'll partner closely with business and engineering leaders to drive modernization, align ... What does an Enterprise Data Architect do? * Create and own the long-term enterprise data ...

Data Engineer

South Bend, IN ยท Hybrid

$150K/yr

Data Engineer Location: South Bend, IN (Hybrid) Salary: Up to $125,000 (Mid-Level) | Up to $150,000 ... Exposure to ERP, operational, or transactional data systems * Experience in manufacturing ...

Lead Data Engineer

Baltimore, MD ยท On-site +1

$113K - $136K/yr

Rowe Price is seeking an experienced Lead Data Engineer to guide the development and deployment of Enterprise data solutions that drives transformation enabling new business capabilities driving ...

Azure Data Engineer

Wilmington, MA ยท On-site

$125K - $150K/yr

... enterprise data engineering team. The ideal candidate will bring strong expertise in SQL, Python, and Azure cloud services, with a solid understanding of data warehousing concepts and hands-on ...

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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 Jun 21, 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 designs, builds, and maintains large-scale data systems and pipelines to support organizational data needs. They work with tools like SQL, Hadoop, and cloud platforms, ensuring data quality, security, and accessibility for analytics and decision-making.

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 role entirely. Data engineers are still essential for designing data architectures, managing infrastructure, and integrating complex systems, requiring skills in programming, cloud platforms, and data modeling. AI tools serve as complements that enhance efficiency rather than substitutes for the core responsibilities of data engineers.

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.

What engineers make $500,000?

Senior enterprise data engineers with extensive experience, advanced skills in cloud platforms, data architecture, and programming can earn $500,000 or more annually, especially in high-cost-of-living areas or within large organizations. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data systems.

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.

Is a data engineer a high paying job?

Data engineers typically earn high salaries due to their specialized skills in designing and maintaining data pipelines, working with tools like SQL, Python, and cloud platforms. Compensation varies by experience, location, and industry, but it is generally considered a well-paying role within the tech sector.
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 Architect

Enterprise Data Architect

Johnny's Selected Seeds

Fairfield, ME โ€ข On-site, Remote

Full-time

Posted 5 days ago


Job description

Enterprise Data Architect

Location: Remote/Hybrid

About the Role

Johnny's Selected Seeds is seeking an experienced Enterprise Data Architect to define and lead our enterprise data strategy. This role is responsible for ensuring that data across the organization is structured, integrated, governed, and leveraged to support operational excellence, customer experience, and data-driven decision-making. This is a highly visible, strategic role that partners across the organization to align data architecture with business priorities while establishing scalable, future-ready capabilities.

Why This Role Matters

  • Establish a single, trusted foundation for enterprise data
  • Enable better decision-making across Sales, Operations, Supply Chain, and Finance
  • Improve system integration and reduce data fragmentation
  • Support analytics, reporting, and future digital capabilities

What You'll Do

Enterprise Data Strategy & Architecture

  • Define and lead the enterprise data architecture vision and multi-year roadmap
  • Establish target-state architecture across data platforms, integration, governance, and analytics
  • Ensure alignment between data strategy and business priorities

Data Modeling & Domain Ownership

  • Develop and maintain enterprise data models (conceptual, logical, physical)
  • Define and standardize core business data domains (customer, product, inventory, pricing, finance)
  • Establish consistent data definitions, relationships, and lineage

Data Governance & Master Data Management

  • Lead the development of a formal data governance framework
  • Define policies for data quality, ownership, classification, and lifecycle management
  • Establish master data standards, including golden records and data harmonization

Integration & Data Flow

  • Define data definitions and data requirements for scalable integration patterns (API, ETL/ELT, event-driven architecture)
  • Ensure reliable and efficient data movement across systems
  • Partner with application teams to define data integration standards

Analytics & Reporting Enablement

  • Support enterprise BI, reporting, and analytics capabilities
  • Ensure consistency and trust in KPIs, metrics, and data models
  • Partner with analytics teams to enable scalable data pipelines

Security, Compliance & Governance

  • Align data architecture with security, privacy, and regulatory requirements
  • Define standards for access control, auditing, and sensitive data handling
  • Support data retention and traceability requirements

Architecture Governance & Business Partnership

  • Participate in architecture reviews and technology decisions
  • Evaluate internal and vendor solutions for alignment with standards
  • Partner with leaders across Sales, Operations, Supply Chain, Finance, Customer Care, and Digital
  • Translate business needs into scalable data solutions

What Success Looks Like (First 6โ€“12 Months)

  • Established a clear enterprise data architecture roadmap
  • Defined and aligned core data domains across key systems
  • Identified key metrics for measuring improvements to data quality, consistency, and accessibility across the organization
  • Begun work on foundational data governance practices

What You Bring

Experience

  • 8โ€“12+ years in data architecture, data engineering, or a related field
  • Proven experience designing and implementing enterprise-level data solutions
  • Experience working across multiple business domains (e.g., Sales, Operations, Finance, Supply Chain)

Technical Expertise

  • Enterprise data architecture and modeling
  • Data governance and metadata management
  • Master data management (MDM)
  • Integration architecture (API, ETL/ELT, event-driven systems)
  • Data warehousing, lakehouse, and analytics platforms
  • Cloud-based data environments
  • Data security and compliance practices

Leadership & Skills

  • Strategic thinker with strong problem-solving capability
  • Ability to influence across functions without direct authority
  • Strong communication skills with both technical and business stakeholders
  • Collaborative and facilitative approach

Level & Scope

This role is aligned to an IT-IC4 Level position within our job architecture, reflecting its enterprise-wide scope, strategic responsibility, and cross-functional influence.

Why Join Johnny's

  • Opportunity to shape enterprise data strategy at a critical stage of growth
  • High-impact, highly visible role with cross-functional leadership
  • Collaborative culture grounded in innovation, respect, and continuous improvement
  • Strong commitment to leveraging data for better decisions and outcomes