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Enterprise Data Engineer Jobs (NOW HIRING)

The Josef Group

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

Enterprise Data Engineer Chantilly, VA TS/SCI and FSP is Required $200K to $250K We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and ETL to extract ...

Bespoke Technologies, Inc

Enterprise Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

BT-334 - Enterprise Data Engineer Skill Level: Mid-SME Herndon, VA (fully on-site, no remote option) **Please do NOT apply if you do not have an active Poly clearance. Those without a Poly will not ...

Wipfli Advisory LLC

Enterprise Data Architect

Bachelors Degree in Computer Science, Information Systems, Data Engineering, or related field. * 8+ years of progressive experience in data architecture, data engineering, or enterprise data modeling ...

NewGen

Enterprise Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured ...

VTG

Enterprise Data Engineer

Chantilly, VA

$118K - $142K/yr

Overview VTG is seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and ...

NewGen Technologies

Enterprise Data Engineer

Chantilly, VA

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured ...

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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 Jul 11, 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, 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.
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 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 $129,716 per year, or $62.4 per hour.
Enterprise Data Engineer

Enterprise Data Engineer

Shelter Mutual Insurance Company

Columbia, MO • On-site

$79K - $98K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Shelter Insurance rating

6.8

Company rating: 6.8 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

245th of 281 rated insurance

Job description

A company built to serve you. It's your career, Shelter it!

Enterprise Data Engineer

$79,518 - $98,581 / year minimum starting pay

Job Level: Individual Contributor

Location: Columbia, Missouri (On-site, Full-time)

Shelter maintains broad salary ranges for its roles in order to account for variations in geographic location, education, training, skills, relevant work experience, business needs and market demands. Please remember that this range is the starting base pay only and does not consider other components that make up the total rewards package for the position.

What You Will Be Doing:

Design, implement, and maintain data pipelines, data integration solutions, and data architecture. Expertise in Snowflake is required to ensure efficient and scalable data storage, processing, and analytics.

What We're Looking For:

  • Bachelor's or Master's degree in computer science, information systems, or a related field is preferred.
  • Proven experience (2+ years) as a Data Engineer, with expertise in Qlik Replicate, Compose, and DBTLabs, Astronomer & Github, combined with hands-on experience in Snowflake typically required.
  • Proficiency in Qlik Replicate, Compose, and Enterprise Engineer for data integration, replication, and transformation.
  • Strong understanding of data engineering principles, data modeling, ETL processes, and data warehousing concepts.
  • Expertise in Snowflake, including data ingestion, storage, performance optimization, and security.
  • Experience with cloud platforms, such as AWS or Azure, and working with cloud-based data solutions and services.
  • Familiarity with data quality, data governance, and data lifecycle management practices.
  • Solid programming skills in SQL and scripting languages (e.g., Python, PowerShell) for data manipulation and automation.
  • Strong problem-solving and troubleshooting abilities, with the ability to diagnose and resolve data engineering issues.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
  • Ability to perform essential functions of the position, with or without a reasonable accommodation.

Shelter's uncompromising commitment to excellence doesn't stop with our customers. We recognize our employees are what make us a premier organization in the insurance industry. Shelter Employees enjoy such benefits as:

  • Health, Dental, Voluntary Vision and Prescription Drug Insurance
  • Savings and Profit Sharing 401(k)
  • Paid Time Off for Sick and Personal Leave, Vacation and Holidays
  • Vitality Wellness Program
  • "Dress for Your Day" Dress Code
  • Flexible Scheduling
  • And much more!
Columbia, MO - Corporate Office

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