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International Data Engineer Jobs (NOW HIRING)

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area. As a ...

Data Engineer

Irving, TX · On-site +1

$108K - $130K/yr

Ability to work collaboratively in a multi-cultural organization with international members ... Bachelor's degree in data engineering or at least 8+ years of comparable professional experience in ...

Data Engineer

Mexico, ME

$119K - $143K/yr

Ability to work collaboratively in a multi-cultural organization with international members ... Bachelor's degree in data engineering or at least 8+ years of comparable professional experience in ...

New

Senior, Data Engineer

Sunnyvale, CA · On-site

$124K - $169K/yr

About the Team International Data Management (IDM) team powers enterprise-scale data platforms ... Engineering excellence Cost efficiency at scale Global collaboration Outcome-driven delivery At ...

Senior, Data Engineer

Bentonville, AR · On-site

$92K - $126K/yr

About the Team International Data Management (IDM) team powers enterprise-scale data platforms ... Engineering excellence Cost efficiency at scale Global collaboration Outcome-driven delivery At ...

Data Engineer

$117K - $140K/yr

Title: Data Engineer Location: Remote Mandatory: SQL, Python, PySpark, DataBricks, ETL pipelines ... • Expertise with relevant international regulations such as MAD/MAR and the regulatory ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

... Counter Threats and International Cooperation (DDCTIC), in meeting the minimum statutory ... The Data Engineer supports the J5 data infrastructure underpinning all of these functions, building ...

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

Data Engineer About the Role: We are seeking a Data Engineer to design, build, and optimize data pipelines and architectures that empower data-driven decision-making and business growth. In this ...

Data Engineer

Redstone Arsenal, AL

$116K - $140K/yr

Overview SOS International LLC (SOSi) is seeking Data Engineers to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government ...

Data Engineer

Redstone Arsenal, AL · On-site

$116K - $140K/yr

Overview SOS International LLC (SOSi) is seeking Data Engineers to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government ...

Data Engineer

Chantilly, VA · On-site

$114K - $190K/yr

Description & Requirements Elevate your career with MANTECH International Corporation! Join a ... The Data Engineer will leverage their development skills and experience to support the successful ...

Showing results 21-40

International Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do international data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for international 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 does an international data engineer do?

An International Data Engineer is responsible for designing, building, and managing data pipelines that support global operations. They work with large datasets across multiple regions, ensuring data consistency, security, and compliance with international regulations. Their role often requires expertise in cloud platforms, ETL processes, and database management. They collaborate with data scientists, analysts, and business teams to optimize data accessibility and performance.

What are some challenges unique to working as an international data engineer, and how can I prepare for them?

International Data Engineers often work with diverse datasets that may have varying formats, privacy regulations, and language considerations, which can make data integration and standardization more complex. Additionally, coordinating with teams across different time zones and navigating cultural differences in project management are common challenges in this role. Building strong communication skills, staying updated on global data compliance laws, and developing an understanding of region-specific technologies can greatly help. Proactively seeking feedback and adopting flexible problem-solving approaches are also key strategies for success in this dynamic international environment.

What are the key skills and qualifications needed to thrive as an international data engineer, and why are they important?

To thrive as an International Data Engineer, you need expertise in data architecture, ETL processes, SQL, and big data platforms, often backed by a degree in computer science or a related field. Experience with tools like Python, Hadoop, Spark, and cloud data services (e.g., AWS, Azure) as well as certifications like Google Professional Data Engineer are highly valued. Strong soft skills such as cross-cultural communication, adaptability, and collaborative problem-solving are crucial for working with global teams. These skills ensure effective management and integration of complex, multilingual data systems across different regions and enable successful project delivery in an international context.

More about International Data Engineer jobs

What are the most commonly searched types of International Data Engineer jobs?

The most popular types of International Data Engineer jobs are:

Infographic showing various International Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Elder Research

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Re-posted 4 days ago


Job description

Data Engineer
General Information
Requisition # 675
Locations USA-VA-Arlington
Posting Date 03/04/2026
Security Clearance Required - IRS MBI
Remote Type Hybrid
Time Type Full time
Description & Requirements
Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Data Engineer to join our team in Arlington, VA. This is a hybrid position Preferably located in the Washington DC area.
As a Data Engineer, you will support the Internal Revenue Service's mission to combat tax fraud, identity theft, and non-compliance by designing and delivering secure, scalable, and automated data pipelines that power advanced analytics, machine learning models, and decision-support tools. You will work directly with IRS stakeholders, program managers, data scientists, and technical teams to translate complex business and compliance needs into reliable data engineering solutions.
Your work will enable fraud detection, audit prioritization, refund review, and compliance risk analysis across large, sensitive tax and financial datasets. This role sits within an analytics-focused business unit supporting IRS enforcement, compliance, and research initiatives, partnering closely with data science and analytics teams to ensure data products are production-ready, trustworthy, and mission-aligned.
Responsibilities include but are not limited to:
  • Troubleshoot and resolve complex data and system issues across cross-functional and mission-critical environments with minimal supervision
  • Engineer solutions that integrate diverse data types, including transactional, financial, and textual data, to support compliance and fraud analytics
  • Collaborate with data scientists and stakeholders to deploy analytics applications, dashboards, and decision-support tools
  • Write, test, and refine reusable, well-documented code in Python, SQL, Java, and other languages using collaborative development practices
  • Build and maintain secure, scalable data pipelines and end-to-end systems, including operation within air-gapped or restricted government environments
  • Support the full engineering lifecycle, from concept and design through deployment, monitoring, and ongoing support
  • Produce technical documentation and deliver briefings or presentations to technical and non-technical audiences
  • Act as a technical consultant, translating business, compliance, and enforcement needs into effective data solutions

Minimum Qualifications:
  • 2-7+ years of experience in data science, analytics, or a related technical field, with prior programming experience, preferably in Python
  • Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, data engineering, business, or social sciences
  • Design, build, and deploy robust, repeatable, and automated data pipelines using Python and SQL to transform raw data into analytics and ML-ready datasets
  • Engineer data pipelines that support fraud detection, compliance analytics, and predictive risk modeling across structured and unstructured data sources in Databricks
  • Develop and maintain end-to-end machine learning data workflows across on-premises and cloud environments, integrating backend systems with analytics platforms and user-facing applications
  • Partner closely with data scientists, analysts, product managers, and government stakeholders to align data engineering solutions with IRS mission objectives, and translate client and stakeholder requirements into clear, actionable technical designs and implementation plans
  • Modernize and optimize data and ML workflows by implementing best practices for scalability, reliability, maintainability, and security, while contributing effectively within agile, fast-paced development environments supporting iterative delivery and continuous improvement
  • Demonstrate a strong willingness to learn new technologies, adapt to evolving requirements, share knowledge across teams, and travel and work on-site with clients as project needs require

Preferred Qualifications:
  • Advanced degree (MS) in analytics, computer science, data science, mathematics, statistics, engineering, management information systems, decision science, or related fields
  • Experience with version control systems (Git, SVN, Mercurial) and collaborative programming practices (pair programming, code reviews), as well as containerization and environment management (venv, conda)
  • Experience with platforms and technologies such as Databricks and AWS, including prior Databricks experience in Unity Catalog, PySpark, Spark SQL, and Jobs
  • Familiarity with vector, object, and document-based data storage systems, and experience implementing data engineering solutions in remote or austere environments, including use of bash and command-line tools
  • Experience with business intelligence and data visualization tools (Power BI, Tableau), and understanding of the data analytics lifecycle (e.g., CRISP-DM) and how engineering supports downstream analytics and ML use case

Clearance Requirements:
  • Must currently possess an IRS Public Trust clearance with Full Background Investigation

Physical Requirements:
  • Must be able to remain in a stationary position 50%
  • Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
  • Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations

About Elder Research, Inc - People Centered. Data Driven
Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.
If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.