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International Data Engineer Jobs (NOW HIRING)

Lead Data Engineer

Columbus, OH · On-site

$107K - $129K/yr

About FlightSafety International FlightSafety International is the world's premier professional ... Purpose of Position The Lead Data Engineer is a hands-on technical leader responsible for ...

Data Engineer

Irving, TX · On-site

$109K - $132K/yr

K&K Global Talent Solutions Inc. is an international recruiting agency that has been providing ... Pyspark Data Engineer Location: Irving TX Fulltime Time Descriptions: Must Have Technical ...

New

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

Bentonville, AR · On-site +1

$100K - $120K/yr

Data Engineer LOCATION: Bentonville AR or Remote Duration: 6 to 12+ Months Rate: DOE Required ... Designs, develops, and implements Hadoop eco-system based applications to support International ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Position contingent upon contract award As a Data Engineer , you will be responsible for developing ... S. and international government agencies, and organizations. As a world-class leader in providing ...

Data Engineer

Reston, VA

$119K - $143K/yr

SOS International LLC (SOSi) is seeking a Data Engineer to support a US Government Client. Essential Job Duties * Structures and delivers translation memory data with a Translation Management System ...

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

Mclean, VA · On-site

$115K - $139K/yr

Position contingent upon contract award As a Data Engineer , you will be responsible for developing ... S. and international government agencies, and organizations. As a world-class leader in providing ...

Data Engineer

Arlington, VA

$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

Reston, VA · On-site +1

$119K - $143K/yr

SOS International LLC (SOSi) is seeking a Data Engineer to support a US Government Client. Essential Job Duties * Structures and delivers translation memory data with a Translation Management System ...

Data Engineer

Washington, DC · On-site

$141K - $236K/yr

... MANTECH International Corporation! Join a dynamic team dedicated to national security through ... MANTECH seeks a motivated, career, and customer-oriented Data Engineer for a new initiative within ...

Data Engineer

Roanoke, TX · Remote

$65/hr

We are currently seeking a Data Engineer for our client in the Financial Services domain. We value ... international teams - Obsessed with creating the best end-to-end customer experience - Takes ...

Data Engineer

$148K - $263K/yr

... MANTECH International Corporation! Join a dynamic team dedicated to national security through ... The Data Engineer will leverage their deep understanding of performance optimization and data ...

Data Engineer

Roanoke, TX · On-site +1

$130K/yr

We are currently seeking a Data Engineer for our client in the Financial Services domain. We value ... international teams - Obsessed with creating the best end-to-end customer experience - Takes ...

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 ...

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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 Jun 15, 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.

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 need for data engineers. Data engineers are essential for designing, building, and maintaining complex data systems, and their expertise in tools like SQL, Python, and cloud platforms remains critical. AI tools serve as complements that enhance efficiency rather than substitutes for the role.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized technical skills, and working in competitive industries or companies with large-scale data needs.

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.

Which country is best for data engineer jobs?

The best countries for data engineer jobs typically include the United States, Canada, the United Kingdom, Germany, and Australia, which have strong tech industries and high demand for data professionals. Factors such as salary, work environment, visa policies, and opportunities for career growth influence the choice. Data engineers often work with tools like SQL, Python, and cloud platforms, and may require relevant certifications and skills to qualify for roles in these countries.

What engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $300,000 or more annually. High compensation often involves working in competitive markets, with some roles requiring certifications and leadership responsibilities.

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 in the International Data Engineer position, 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 June 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Senior Data Scientist - International eKYC, Identity Graph

Senior Data Scientist - International eKYC, Identity Graph

Socure

New York, NY • On-site

$170K - $200K/yr

Full-time

Posted 22 days ago


Job description

Why Socure?
Socure is building the identity trust infrastructure for the digital economy - verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day.
We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won't be your place. If you want to help build the future of identity with a team that holds a high bar for itself - keep reading.
About the Role
The Big Data R&D team builds the core entity‑resolution and graph‑based intelligence that underpins Socure's Verify and KYC products. As a Senior Data Scientist focused on international eKYC, you will be a technical leader driving the next generation of global identity verification solutions. You will design and deploy ML and graph-based systems tailored to diverse international markets, regulations, and data ecosystems-covering government IDs, telco and credit bureaus, mobile-first data, and non‑traditional signals.
You will own complex, cross‑product initiatives such as international identity graph evolution, probabilistic matching for non‑US identities, and scalable evaluation frameworks that account for regional regulatory and fairness constraints. You will closely partner with Product, Engineering, Compliance, and GTM teams to launch and scale eKYC solutions across multiple countries and regions.
What You'll Do
International eKYC Modeling & Entity Resolution
  • Lead the design, development, and deployment of ML and graph-based algorithms for international entity resolution, identity trust scoring, and anomaly detection across heterogeneous, country‑specific datasets.
  • Architect reusable matching and linking frameworks that work across multiple ID schemes (e.g., national ID numbers, passports, voter IDs, mobile accounts, bank accounts) and local name/address conventions.
  • Develop probabilistic and rule‑augmented models that handle noisy, sparse, or partially labeled international data while maintaining explainability and regulatory defensibility.

Global Identity Graph & Data Quality
  • Define and evolve the international extension of Socure's identity graph: schema design, linkage strategies, quality tiers, and confidence scoring that can be leveraged by multiple products (Verify, KYC, watchlists, fraud).
  • Design and implement robust data quality and monitoring frameworks for international identity data (coverage, stability, drift, regional bias, label quality) and integrate them into modeling and production monitoring workflows.
  • Build scalable approaches for handling linguistic and cultural variation (e.g., transliteration, multi‑script names, address normalization, local naming patterns) in the identity graph and matching pipelines.

Evaluation, Experimentation, and Model Governance
  • Own experimentation strategy for major international eKYC initiatives:
  • Design offline evaluations and online A/B tests that reflect local ground truth constraints and data sparsity.
  • Define success metrics that balance approval rates, fraud capture, and regulatory/operational constraints per market.
  • Analyze lift, stability, and fairness trade‑offs and drive go/no‑go decisions with Product and Engineering.
  • Define and maintain evaluation frameworks specific to international eKYC (e.g., regional coverage maps, cross‑border identity leakage, local demographic impact, regulatory thresholds).
  • Contribute to model governance documentation and support responses to regulators and large enterprise customers regarding model logic, data provenance, fairness, and monitoring for international markets.

Data Source Strategy & Vendor Evaluation (International)
  • Lead the evaluation and integration of international data vendors (e.g., bureaus, telcos, public records, alternative data):
  • Design benchmarking methodologies for signal quality, incremental value, stability, and fairness by country/segment.
  • Quantify ROI and trade‑offs across multiple vendors and data types; provide clear recommendations that influence product and commercial decisions.
  • Partner with Data Acquisition, Legal, and Compliance to ensure that data usage and modeling approaches meet regional regulatory requirements (e.g., GDPR and local privacy/AML/KYC rules).

Technical Leadership & Cross‑Functional Partnership
  • Collaborate with engineering leaders to design scalable, reliable international data and model pipelines using Spark/PySpark, AWS (EMR, S3, SageMaker, Neptune), and modern MLOps workflows.
  • Act as a subject‑matter expert on international identity, eKYC regulations, and cross‑border data limitations for internal stakeholders, supporting complex customer questions and strategic roadmap discussions.
  • Mentor Data Scientists and Senior Data Scientists on best practices for international modeling: handling low‑label regimes, domain adaptation, localization of thresholds/logic, and building reusable abstractions instead of one‑off country fixes.
  • Communicate strategy, progress, and results to senior leadership and cross‑functional partners through clear documents and presentations, framing complex technical work in terms of business impact, regional risk, and regulatory trade‑offs.
What You Bring
Education & Experience
  • Master's or Ph.D. in Computer Science, Data Science, Machine Learning, Statistics, Mathematics, or a related field, or equivalent practical experience.
  • 6+ years of hands-on applied ML / data science experience (4+ with Ph.D.), including owning production models and pipelines in high‑stakes domains (fraud, risk, identity, payments, credit, or similar).
  • Significant prior work on international or multi‑region products is strongly preferred (e.g., cross‑country KYC, credit risk, payments, or compliance systems).

Technical Skills
  • Expert‑level proficiency in Python and SQL, with extensive experience in distributed data processing (Spark/PySpark, Databricks or similar) on very large datasets.
  • Deep experience designing, training, and deploying models for classification, ranking, anomaly detection, and/or graph learning, including:
  • Feature engineering for noisy/heterogeneous identity data.
  • Robust evaluation under label sparsity and feedback delays.
  • Calibration and thresholding tailored to regional risk and regulatory constraints.
  • Proven expertise with graph technologies (e.g., Neo4j, AWS Neptune, GraphFrames, DGL, PyTorch Geometric) and graph algorithms (entity resolution, link prediction, community detection, label propagation) at scale.

Please note that sponsorship is not available at this time; and that you must be located within 45 miles of a talent hub to be considered.
Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
If you need an accommodation during any stage of the application or hiring process-including interview or onboarding support-please reach out to your Socure recruiting partner directly.
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