ZipRecruiter

Log In

1

Enterprise Data Engineer Jobs (NOW HIRING)

NewGen

Enterprise Data Engineer

Chantilly, VA · On-site

$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 · On-site

$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 ...

VTG

Enterprise Data Engineer

Chantilly, VA · On-site

$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 ...

VT Group (VTG)

Enterprise Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

VT Group (VTG) is seeking skilled and detail-oriented Data Engineers with expertise in Python, SQL, and Palantir. The role focuses on automating data processing tasks, integrating data from various ...

NewGen Technologies

Enterprise Data Engineer

Chantilly, VA · On-site

$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 ...

Christoph Kroschke GmbH

$75 - $110/hr

... Data Warehouse Engineer oder in einer vergleichbaren Rolle * Sehr gute SQL-Kenntnisse sowie Erfahrung mit relationalen Datenbanken, idealerweise PostgreSQL * Erfahrung mit Enterprise ...

SmartIPlace

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Strong hands-on experience in Data Engineering and enterprise-scale data integration. * Proven experience developing scalable ETL/ELT pipelines and distributed data processing solutions. * Strong SQL ...

Conch Technologies Inc

AI Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Only W2 No C2C We are looking for an experienced AI Data Engineer to join a growing enterprise data team. The ideal candidate will have strong experience building enterprise-scale data solutions and ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Architect 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 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.
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 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

NewGen

Chantilly, VA • On-site

$117K - $140K/yr

Full-time

Re-posted 24 days ago

Job description

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 data from various sources. The ideal candidate will have a strong background in data engineering and a deep understanding of ETL processes.
CLEARANCE REQUIRED: TS/SCI Full Scope Polygraph
Responsibilities
  • Write robust and efficient Python and SQL scripts to automate data processing tasks
  • Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems
  • Implement data transformations, enrichment, and modeling workflows to ensure data quality and usability
  • Ensure data structures are optimized for performance and scalability
  • Provide technical guidance and support to ensure effective use of Palantir tools across teams
  • Implement data quality checks, validation, and monitoring mechanisms to ensure the accuracy and reliability of datasets
  • Integrate data from diverse sources, such as databases, APIs, and flat files, into centralized systems
  • Ensure proper data transformation and curation to meet business and analytics requirements
  • Maintain and improve data quality, consistency, and accuracy through validation and cleansing processes
Requirements
  • TS/SCI FSP Clearance
  • 3+ years of experience in data engineering
  • Strong proficiency in scripting and programming with Python
  • Expertise in working with SQL for data querying, transformation, and optimization
  • Experience with data integration from diverse sources such as APIs, relational databases, and file systems
  • Strong analytical and problem-solving skills with attention to detail
  • Excellent communication and teamwork skills to collaborate with technical and business teams
Desired Skills
  • Bachelor's degree in Computer Science, Data Engineering, or a related field
  • Hands-on experience with Palantir
  • Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Apache Spark, Hadoop)
  • Familiarity with data orchestration tools such as Apache Airflow, Prefect, or similar

About Us
For more than 20 years, NewGen Technologies has solved our clients' toughest IT challenges with integrity, security, and outstanding service by delivering both technology and talent. We have helped secure borders, have used artificial intelligence (AI) to fight terror, aided the identification of criminals, and have helped to prevent crime through the introduction of biometrics. Our team of Highly Cleared Specialists have hard-to-find skills and expertise in a wide spectrum of technologies to provide solutions that transform business processes and solve problems of national significance. #CJ

Apply