Data Engineer II
Full-time
Mastercard
Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary
• Contribute to the development and enhancement of enterprise data products and data platforms supporting analytics and data science use cases
• Design, build, and maintain scalable data pipelines for batch, streaming, and API-based data ingestion across hybrid (private/public cloud) environments
• Support machine learning and AI initiatives by preparing, transforming, and validating datasets used in predictive models
• Collaborate with Data Scientists and senior engineers to ensure high-quality data inputs for algorithms and analytical models
• Transform structured and unstructured data into usable formats (e.g., text processing, metadata tagging, basic feature engineering)
• Assist in integrating new data sources and improving data availability for analytics and product use cases
• Implement and monitor data quality checks, data lineage, and governance standards to ensure data reliability and compliance
• Troubleshoot data issues in pipelines and production systems, partnering with upstream data providers and engineering teams to resolve root causes
• Optimize data processing jobs and queries for performance and cost efficiency
• Participate in the development and maintenance of data infrastructure supporting enterprise-scale analytics
• Support deployment, testing, and monitoring of data pipelines in cloud environments
• Work collaboratively in Agile teams to deliver incremental, production-ready solutions
• Stay current with evolving data engineering tools, frameworks, and cloud technologies Ideal Candidate Qualifications - Core Qualifications • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent experience)
• 2–5 years of hands-on experience in data engineering, data processing, or related roles
• Experience building and maintaining data pipelines and ETL/ELT workflows in a distributed data environment
• Proficiency in SQL and at least one programming language (Python, Scala, or Java)
• Experience working with big data technologies such as Spark, Hadoop, or Kafka
• Familiarity with data modeling concepts and data warehouse architecture
• Experience debugging data issues and optimizing SQL queries and pipeline performance
• Exposure to CI/CD practices for data pipelines
• Understanding of data governance concepts such as data quality, lineage, and classification
• Experience working in Agile development environments
• Strong analytical and problem-solving skills with attention to detail
• Good communication and collaboration skills Preferred / Nice-to-Have Skills • Experience with cloud platforms such as Azure, AWS, or GCP
• Exposure to Databricks and cloud-native data processing frameworks
• Familiarity with streaming and workflow orchestration tools (e.g., Kafka, Airflow, NiFi)
• Experience supporting machine learning workflows or feature engineering pipelines
• Experience with dashboarding/visualization tools (e.g., Power BI)
• Prior experience in financial services or payments industry Corporate Security Responsibility
Data Engineer II
Your Role
As a Data Engineer II, you will contribute to the design, development, and support of enterprise data products and platforms across private and public cloud environments. You will work closely with senior engineers, data scientists, and cross-functional teams to build reliable, scalable data pipelines and enable analytics and machine learning use cases. Key Responsibilities• Contribute to the development and enhancement of enterprise data products and data platforms supporting analytics and data science use cases
• Design, build, and maintain scalable data pipelines for batch, streaming, and API-based data ingestion across hybrid (private/public cloud) environments
• Support machine learning and AI initiatives by preparing, transforming, and validating datasets used in predictive models
• Collaborate with Data Scientists and senior engineers to ensure high-quality data inputs for algorithms and analytical models
• Transform structured and unstructured data into usable formats (e.g., text processing, metadata tagging, basic feature engineering)
• Assist in integrating new data sources and improving data availability for analytics and product use cases
• Implement and monitor data quality checks, data lineage, and governance standards to ensure data reliability and compliance
• Troubleshoot data issues in pipelines and production systems, partnering with upstream data providers and engineering teams to resolve root causes
• Optimize data processing jobs and queries for performance and cost efficiency
• Participate in the development and maintenance of data infrastructure supporting enterprise-scale analytics
• Support deployment, testing, and monitoring of data pipelines in cloud environments
• Work collaboratively in Agile teams to deliver incremental, production-ready solutions
• Stay current with evolving data engineering tools, frameworks, and cloud technologies Ideal Candidate Qualifications - Core Qualifications • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field (or equivalent experience)
• 2–5 years of hands-on experience in data engineering, data processing, or related roles
• Experience building and maintaining data pipelines and ETL/ELT workflows in a distributed data environment
• Proficiency in SQL and at least one programming language (Python, Scala, or Java)
• Experience working with big data technologies such as Spark, Hadoop, or Kafka
• Familiarity with data modeling concepts and data warehouse architecture
• Experience debugging data issues and optimizing SQL queries and pipeline performance
• Exposure to CI/CD practices for data pipelines
• Understanding of data governance concepts such as data quality, lineage, and classification
• Experience working in Agile development environments
• Strong analytical and problem-solving skills with attention to detail
• Good communication and collaboration skills Preferred / Nice-to-Have Skills • Experience with cloud platforms such as Azure, AWS, or GCP
• Exposure to Databricks and cloud-native data processing frameworks
• Familiarity with streaming and workflow orchestration tools (e.g., Kafka, Airflow, NiFi)
• Experience supporting machine learning workflows or feature engineering pipelines
• Experience with dashboarding/visualization tools (e.g., Power BI)
• Prior experience in financial services or payments industry Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
- Abide by Mastercard’s security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Vacancy posted 20 days ago
Similar jobs that could be interesting for youBased on the Data Engineer II in India vacancy
- ...set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Engineer II-1 Data Engineer, DPO Who is Mastercard? Mastercard is a global technology company in the payments industry. Our...SuggestedFull timeLocal areaWorldwideFlexible hours
- ...set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Engineer II Overview Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to...SuggestedFull timeWorldwide
- ...set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Engineer II "Who is Mastercard? We are the global technology company behind the world’s fastest payments processing network. We are a...SuggestedFull timeWork experience placementWorldwide
- ...set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Engineer II OVERVIEW Mastercard Services, the professional services arm of Mastercard Worldwide, provides payments-focused...SuggestedFull timeRemote workWorldwide
- ...governments realize their greatest potential. Title and Summary Data Scientist II Job Description Product Data & Analytics Team Data... ...’s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics Additional Competencies •...SuggestedFull timeWorldwide
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II - Java Full stack All About Us MasterCard is a technology company in the global payments business. We connect consumers,...Full timeWorldwide
- ...of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Engineer Job Description Summary Who is Mastercard? Mastercard is a global technology company in the payments industry. Our...Full timeWorldwide
- ...of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Engineer Job Title Lead Data Engineer Overview Who is Mastercard? Mastercard is a global technology company in the...Full timeWorldwide
- ...set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Data Engineer || Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power...Full timeWorldwide
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Engineer Senior Data Engineer - SSO10369 Mastercard is a global technology company in the payments industry. Our mission is to connect...Full timeWorldwide
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Engineer Job Overview The Senior Software Engineer will do the design, development, and delivery of advanced big data solutions within...Full timeWorldwideFlexible hours
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Engineer What is Data & Services? The Data & Services Technology Organization is a key differentiator for MasterCard, providing the...Full timeWorldwide
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Engineer-3 Overview Product Data & Analytics is a centralized global team that enables Mastercard product business units to make better...Full timeWorldwideFlexible hours
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Engineer Overview Mastercard is the global technology company behind the worlds fastest payments processing network. We are a vehicle...Full timeWork experience placementWorldwide
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Principal Data Engineer Role Summary Join the Data Commercialization Platform (DCP) engineering team to design and build cloud-based architectures...Full timeWorldwide
- ...realize their greatest potential. Title and Summary Software Engineer II Overview • Mastercard Send CrossBorder Development Team is... ...Java/J2EE technologies, REST APIs, JSON, NoSQL and relational data bases Experience in implementing CI/CD build pipelines with...Full timeWorldwide
- ...realize their greatest potential. Title and Summary Software Engineer II (DevOps) Support software engineering through programming, testing... .... Skills/ Abilities: •Strong foundation in algorithms, data structures, and core computer science concepts. •Overall...Full timeWork experience placementWorldwide
- ...realize their greatest potential. Title and Summary Software Engineer II Overview Design an effective test automation suite for your... ..., monitoring, early performance testing • Generate test data for defined test cases, recognize test environment preparation...Full timeWorldwide
- ...realize their greatest potential. Title and Summary Software Engineer II Overview: Overview: Have you ever developed an application... ...to stay on the cutting edge of technology? The Mastercard Data Governance & Regulation team is looking for a high-energy,...Full timeTemporary workWorldwide
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II Job Overview: Provides support of applications software through programming, analysis, design, development and delivery of...Full timeWork experience placementWorldwide
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II Overview Prepaid Management Services is the division of Mastercard that focuses on prepaid solutions, including the Multi‑...Full timeWorldwide
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Engineer - Data & AI Platform Senior Data Engineer – Data & AI Platform Who is Mastercard? Mastercard is a global technology company...Full timeWorldwide
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Software Engineer II-1 Job Description Summary Job Overview: As part of an exciting, fast paced environment developing authentication and...Full timeContract workWorldwide
- ...products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director, Data Engineering Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and...Full timeWorldwide
- ...realize their greatest potential. Title and Summary Software Engineer II About the Role We are looking for a Software Engineer II... ...knowledge about APIs, RESTful services that integrate with other data providers using Spring MVC. ● Extensive experience with ORM...Full timeWorldwide
- ...realize their greatest potential. Title and Summary Software Engineer II Job Title: Test Automation and Site Reliability Engineer, Priceless... ...with relational databases and ability to write SQL queries for data validation. • Excellent problem-solving and analytical skills...Full timeWork experience placementWork at officeWorldwide
- ...realize their greatest potential. Title and Summary Software Engineer II Who is Mastercard? Mastercard is a global technology company... ...retrospectives. • Ensure compliance with security standards, data privacy guidelines, and regulatory requirements. •...Full timeWorldwide
- ...realize their greatest potential. Title and Summary Software Engineer II (Mainframe Developer) Who is Mastercard? Mastercard is a global... ...transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and...Full timeWorldwide
- ...greatest potential. Title and Summary Data Scientist 2-1 Job Description: Who is... ...mindset. Role As a Data Scientist II, you will: Work with large, complex datasets... ..., monitoring) in partnership with engineering. Communicate technical problems, trade...Full timeWorldwide
- ...greatest potential. Title and Summary Lead Data Scientist Who is Mastercard?... ...Analytics team is looking for a Data Scientist II. The Data Science team works on Intelligent... ...practices in machine learning and data engineering to develop scalable solutions. ● Identify...Full timeWorldwide
Do you want to receive more vacancies?
Subscribe and receive similar vacancies to Data Engineer II. Be the first to apply!
