Saas Data Engineer/Data Pipeline Developer work from home job/internship at Estate Atlas

About the Internship

Estate Atlas is on a mission to make global property markets more transparent, accessible, and data-driven. We are a Data-as-a-Service (DaaS) startup providing investors, institutions, and professionals with the accurate and actionable international real estate data needed to make critical decisions. By aggregating and standardizing information from a vast array of global sources, we are building the world's leading platform for international real estate intelligence.

The Opportunity:
This is more than a job; it's an opportunity to be a foundational member of our technical team. As the Founding Data Engineer, you will be the architect and builder of our most critical asset: our data pipeline. You will have the unique challenge of designing and implementing the systems that ingest, process, and standardize real estate data from over 100 countries. You will be instrumental in solving the complex problem of turning messy, disparate global data into a clean, reliable, and powerful product.

Selected intern's day-to-day responsibilities include:

1. Work closely with the CEO to lead the Design, build, and maintain our core data integration and ETL/ELT pipelines from the ground up into our MySQL database.
2. Develop robust connectors to ingest data from a wide variety of sources, including government APIs, central bank databases, and third-party data feeds.
3. Build and manage a scalable, ethical web scraping infrastructure to extract data from public sources like real estate portals and news sites.
4. Implement rigorous data quality, validation, and cleaning processes to ensure the accuracy and reliability of our data.
5. Create transformation logic to standardize diverse international data, including handling currency conversions, unit standardization (e.g., sq ft vs. sq m), and geographical mapping.
6. Play a key role in defining our data acquisition strategy, assessing the feasibility and legality of sourcing data from various channels.
7. Own the data lifecycle from raw extraction to its final, query-ready state in our data warehouse.

Work Schedule:
Full Time💰 Stipend: ₹7,500 - ₹15,000 (Performance-Based) (Paid)

Internship duration:
3months. This position is fully remote

What We’re Looking For:

1. You have proven experience as a Data Engineer, with a strong track record of building and managing data pipelines.
2. You are highly proficient in Python and its data ecosystem (e.g., Pandas, Polars).
3. You have practical experience with web scraping technologies and libraries (e.g., Scrapy, BeautifulSoup, Playwright) and an understanding of how to do it ethically and effectively.
4. You are an expert in SQL and have hands-on experience with relational databases like MySQL
5. You understand data modelling, data warehousing concepts, and the principles of building scalable systems.
6. You are a pragmatic problem-solver, comfortable with ambiguity, and excited by the challenge of a startup environment.
7. You have excellent communication skills and can articulate complex technical concepts to the team.

Bonus:

1. Experience with workflow orchestration tools like Airflow, Prefect, or Dagster.
2. Familiarity with containerization using Docker.
3. Familiarity with PHP and the Laravel framework.

What We Offer: We are committed to providing a supportive and flexible work environment that empowers interns to learn and thrive. You will gain hands-on experience in Data Engineering and the opportunity to be a part of a dynamic and forward-thinking startup.
If you are excited to build the engine that will power the future of international real estate intelligence, we want to hear from you. We encourage you to apply for this exciting opportunity.

Number of Openings

1 openings

Perks of this Internship

Flexible work hours Recommendation letter Certificate

Other Requirements

1. are available for the work from home job/internship

2. have relevant skills and interests

3. can start the work from home job/internship between 7th Aug'25 and 11th Sep'25

4. are available for duration of 3 months

5. have already graduated or are currently in any year of study