Looking for a high-paying remote Data Engineer job in India? YipitData is hiring experienced Data Engineers to join its global team. This is an excellent work-from-home opportunity for professionals with experience in PySpark, SQL, Databricks, and data pipeline development.
If you have 4+ years of experience and want to work with a leading market research and analytics company, this could be the perfect role for you.
YipitData Recruitment 2026 – Overview
| Job Details | Information |
|---|---|
| Company | YipitData |
| Job Role | Data Engineer |
| Job Location | Remote (India) |
| Work Mode | Work From Home |
| Experience | 4–7 Years |
| Qualification | Bachelor’s or Master’s Degree in Computer Science, STEM, or related field |
| Employment Type | Full Time |
| Team | Global Data Engineering Team |
About YipitData
YipitData is one of the world’s leading market research and analytics companies specializing in alternative data analysis. The company analyzes billions of data points every day to provide valuable business insights across industries including:
- Artificial Intelligence (AI)
- Cloud Computing
- Software
- E-commerce
- Payments
- Ridesharing
YipitData serves global investment firms and Fortune 500 companies by delivering accurate, data-driven insights that support strategic decision-making.
Job Responsibilities
As a Data Engineer, you will:
- Build and maintain scalable end-to-end data pipelines.
- Develop reliable ETL workflows using PySpark and SQL.
- Improve pipeline reliability, efficiency, and performance.
- Create AI-ready analytical datasets with proper documentation.
- Collaborate with business stakeholders and engineering teams.
- Work extensively with Databricks, Spark, and Delta Lake.
- Solve complex data engineering challenges.
- Follow best practices for data modeling and pipeline development.
- Support the company’s strategic data infrastructure.
Required Skills
Candidates should have experience with:
- PySpark
- SQL
- Data Pipeline Development
- Databricks
- Apache Spark
- Delta Lake
- ETL Processes
- Data Modeling
- Large-scale Data Processing
Preferred Skills
Having experience with the following is an added advantage:
- Airflow
- dbt
- Snowflake
- AI-ready Data Architecture
Eligibility Criteria
Applicants should:
- Hold a Bachelor’s or Master’s degree in Computer Science, Engineering, STEM, or a related discipline.
- Have at least 4 years of Data Engineering experience.
- Possess strong knowledge of SQL and PySpark.
- Be comfortable working with large datasets.
- Have excellent analytical and problem-solving skills.
- Be willing to collaborate with global teams.
Work Schedule
This is a Remote (Work From Home) role based in India.
During onboarding, employees are expected to overlap with US working hours for training. After training, regular IST working hours are followed, with 1–2 meetings per week scheduled with the US team.
Salary
YipitData offers:
- Competitive industry salary
- Performance-driven career growth
- Learning and development reimbursement
- Paid vacation
- Parental leave
- Remote work flexibility
- Team events and employee benefits
Exact salary details have not been publicly disclosed.
Why Join YipitData?
Some of the benefits of working at YipitData include:
- Fully Remote Work
- Global Team Exposure
- Career Growth Based on Performance
- Work on AI and Big Data Technologies
- Ownership of High-Impact Projects
- Modern Data Engineering Stack
- Collaborative Work Culture
- Continuous Learning Opportunities
Selection Process
The recruitment process may include:
- Application Submission
- Resume Screening
- Technical Assessment
- Data Engineering Interview
- Managerial Interview
- HR Discussion
- Offer Letter
How to Apply
| Apply Link – | Click Here |
| For Regular Updates Join our WhatsApp – | Click Here |
| For Regular Updates Join our Telegram – | Click Here |
Interested candidates can apply through YipitData’s official careers portal by submitting their updated resume and completing the online application process.
Apply as early as possible since applications are reviewed on a rolling basis.
