High-paying tech roles in 2026. From Data Scientist at Ford to Software Engineer at Mastercard and Visa. Apply for top Data Engineering and SAP roles today.
The landscape of technology and data in 2026 has reached a pivotal junction where artificial intelligence is no longer a luxury but a fundamental necessity for global enterprise operations. From the automotive industry’s shift toward smart mobility to the financial sector’s evolution in digital payments, the demand for high-skilled technical talent remains at an all-time high. The most exciting career opportunities currently available at world-class organizations including Ford, Mastercard, Visa, and leading technology consultancies.
1. Data Scientist Opportunity at Ford (GDI&A Team)
Ford Motor Company is currently seeking a visionary Data Scientist to join their Global Data, Insights & Analytics (GDI&A) team. This role is designed for individuals who want to be at the forefront of the information age, using artificial intelligence to navigate and shape the future of global mobility.
The Role: A Full-Stack Approach
This isn’t your average data science role. Ford is looking for a “Full-Stack Data Scientist.” In this capacity, you will be responsible for the end-to-end design of data pipelines. Your work will span the entire spectrum of modern analytics, from traditional time-series forecasting—essential for supply chain and market demand—to the implementation of cutting-edge Generative AI and Large Language Models (LLMs).
Qualifications for Success
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Education: A Master’s degree in Data Science, Computer Science, or a related quantitative field.
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Experience: A minimum of 3 years of professional experience building and deploying AI/ML models specifically within production environments.
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Technical Stack: You must possess strong proficiency in Python and SQL. Hands-on experience with cloud platforms such as Google Cloud Platform (GCP) or Amazon Web Services (AWS) is essential.
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Strategic Impact: The GDI&A team provides the autonomy to translate complex business challenges into AI-driven solutions that directly influence Ford’s global strategy.
Application Deadline: January 14, 2026
Apply Directly: https://efds.fa.em5.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/jobs/preview/55774/?keyword=+55774&mode=location
2. Leadership Roles in Data Analytics & Engineering
Altezzasys INC is expanding its leadership tier in Pune, India, offering hybrid work arrangements. They are seeking seasoned professionals for Lead and Senior Lead positions in Data Analytics and Data Engineering.
Candidate Profile
These roles are designed for experts with over 8 years of experience. The ideal candidate will bridge the gap between technical execution and high-level stakeholder management.
Technical and Professional Requirements
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Expertise: Exceptional SQL skills are required, with a strong preference for candidates experienced in DBT (Data Build Tool).
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Cloud Proficiency: Hands-on experience with Google Cloud Platform (GCP) is a must.
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Industry Knowledge: Experience in advertising, media, or marketing analytics is highly desirable. Candidates who understand the data flows of the Google Marketing Platform, Facebook, and TikTok will have a significant advantage.
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Visualization: Proficiency in Power BI for delivering actionable insights to business leaders.
Recruiter Contact: Aditi Shrivastava (Senior IT Recruiter)
Email for Resume Submission: aditi.shrivastava@altezzasys.com
3. Data Engineer: GCP + NoSQL Specialist
For those looking for high-impact contract work in the United States, a long-term C2C/Contract opportunity is available in New York City for a Data Engineer specializing in GCP and NoSQL databases.
Required Skill Set and Interview Expectations
This role requires a practitioner who can demonstrate their skills live during the interview process. The focus is on handling large volumes of data and designing enterprise-level platforms.
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Mandatory Tools: Spark, Python, and GCP.
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Database Depth: MongoDB is a must-have. Additional experience with Spanner DB and Graph DB is a major plus.
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Big Data Ecosystem: Proficiency in PySpark, Scala, Hive, Pig, and MapReduce.
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Experience: 6+ years as a Big Data Engineer, with a proven track record of working in mature, self-organized Agile teams.
Recruiter Contact: Roshini
Email for Resume Submission: roshini.d@eraytec.com
4. SAP Basis + Security Consultant (Remote/Pune)
Enterprise resource planning remains the backbone of corporate infrastructure. NTT DATA (via BS) is hiring for an SAP Basis + Security Consultant to support complex SAP environments.
Technical Requirements
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Core Skills: Strong expertise in SAP Basis (both ABAP and Java Stacks).
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Modern SAP Tools: Experience with FRUN, Cloud ALM, and Solution Manager.
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Database Management: Proficiency across SAP HANA, ASE, Oracle, DB2, and MaxDB.
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Operations: Experience in system refreshes, upgrades, patching, and performance monitoring (CPU, memory, I/O).
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Security: A solid understanding of SAP Security concepts is considered an added advantage.
Work Mode: Work From Home (Remote) or Pune.
Notice Period: Immediate Joiners Preferred.
Experience Level: 3–7 years.
Email for Resume Submission: kalyan.ravi@bs.nttdata.com
5. Data Engineers: Azure Databricks
Emids is looking to bolster its fast-growing team with Data Engineers focused on the Microsoft Azure ecosystem. This is a prime opportunity for those looking to work on large-scale data platforms in India’s premier tech hubs.
Desired Stack
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Platform: Azure Databricks.
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Languages: PySpark and SQL.
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Experience: 4–7 years in the field.
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Concepts: A deep understanding of modern Data Engineering architectures (Lakehouse, Delta Lake, etc.).
Email for Resume Submission: Ravi.Chekka@emids.com
6. Software Engineering Excellence: Mastercard
Mastercard continues to lead the way in financial technology. They are looking for Software Engineers to join their teams in Hyderabad and Bangalore, targeting both fresh graduates and those with up to 2 years of experience.
The Offer
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Estimated Salary: ₹20 Lakhs to ₹30 Lakhs per annum.
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Education: Bachelor’s or Master’s degree in a relevant field.
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The Work: Building secure, scalable global payment solutions that handle millions of transactions per second.
Apply Directly: https://careers.mastercard.com/us/en/c/software-engineering-jobs
7. Software Engineering Opportunities: Visa
Visa, a global leader in digital payments, is seeking early-career Software Engineers (0–2 years experience) to join their development center in Bengaluru.
The Offer
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Estimated Salary: ₹14 Lakhs to ₹25 Lakhs per annum.
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The Environment: A culture of innovation where engineers work on the cutting edge of fintech and global transaction security.
Apply Directly: https://www.visa.co.in/en_in/jobs/
Deep Dive: The Evolving Tech Skills for 2026
As we analyze these seven distinct job openings, several recurring themes emerge that define a successful technical career in 2026.
The Ubiquity of Cloud (GCP, Azure, AWS)
Every role mentioned—from Ford’s Data Scientist to the contract roles in NYC—requires cloud proficiency. While AWS remains a giant, GCP has seen massive adoption in data-heavy organizations due to its BigQuery and AI capabilities, while Azure remains the go-to for enterprise-grade data engineering with Databricks.
The Python and SQL Foundation
Despite the rise of low-code tools, Python and SQL remain the “gold standard” for data and software roles. For Data Scientists at Ford, Python is the vehicle for LLM implementation. For Data Leads in Pune, SQL is the engine for DBT-driven transformations.
The Shift Toward NoSQL and Graph Databases
The NYC Data Engineer role highlights a growing trend: the move toward specialized databases. While relational databases (SQL) are still vital, the ability to navigate NoSQL (MongoDB) and specialized formats like Graph DB is becoming a requirement for handling the complex, interconnected data of modern social and financial networks.
Generative AI Integration
Ford’s job description specifically highlights “Generative AI and LLM implementations.” In 2026, a Data Scientist is no longer just building predictive models (what will happen); they are building generative systems (creating solutions). Understanding the deployment of these models in production is now a “must-have” rather than a “nice-to-have.”
Financial Stability and Compensation
The salaries offered by Mastercard and Visa (ranging from ₹14L to ₹30L for early-career roles) indicate that the financial sector remains one of the most aggressive in terms of talent acquisition. For young engineers, starting a career in fintech provides not only high compensation but also a rigorous training ground in security and system reliability.
The tech job market in 2026 offers diverse pathways for growth. Whether you are an expert in SAP Basis, a specialized Data Engineer in NYC, or an aspiring Software Engineer in India, the opportunities are abundant. Companies like Ford are pushing the boundaries of what AI can do for mobility, while firms like Emids and Altezzasys are building the infrastructures that allow data to flow seamlessly across global markets.
Contacts and Actions
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Ford: Apply by Jan 14 via the Oracle Cloud portal.
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Mastercard & Visa: Apply via their respective career pages for lucrative entry-level roles.
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Lead Roles (Pune): Reach out to Aditi Shrivastava at Altezzasys.
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GCP/NoSQL (NYC): Email Roshini at Eraytec.
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SAP Basis: Email Kalyan Ravi at NTT DATA.
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Azure Data Engineering: Email Ravi Chekka at Emids.
By focusing on cloud mastery, AI integration, and core engineering principles, candidates can secure their place in these world-class organizations and help build the technology of tomorrow.
