Data Engineer – Global Team

🕒 July 13

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

YipitData

WebsiteLinkedInAll Job Openings

201 - 500 employees

💸 Finance

🏢 Enterprise

Finance • Enterprise • Data Analysis

YipitData is a company that specializes in providing accurate, timely insights on over 1,000 companies by analyzing billions of data points every day. They offer detailed research to help investors make smarter decisions and assist companies in increasing market share, sales, and customer base. YipitData delivers alternative data through a range of datasets, including receipt data, card data, web data, and publicly reported earnings. This data is used to track market trends, consumer behavior, and product categories, enabling businesses to gain transparency into performance metrics. Their services cater to investors, companies, and data partners, with a strong focus on accuracy and near real-time data delivery.

📋 Description

• Report directly to a Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques. • Build and maintain end-to-end data pipelines. • Help with setting best practices for our data modeling and pipeline builds. • Create AI-ready analytical datasets designed with the structure, metadata, documentation, and business context needed for effective use by AI agents and insight-driven applications. • Become an expert at solving complex data pipeline issues using PySpark and SQL. • Collaborate with stakeholders to incorporate business logic into our central pipelines. • Deeply learn Databricks, Spark, AI, and other ETL toolings developed internally.

🎯 Requirements

• You hold a Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline. • You have 4+ years of experience as a Data Engineer or in other technical functions. • You are excited about solving data challenges and learning new skills. • You have a great understanding of working with data or building data pipelines. • You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks. • You understand business needs and the rationale behind data transformations to ensure alignment with organizational goals and data strategy. • You are eager to constantly learn new technologies. • You are a self-starter who enjoys working collaboratively with stakeholders. • You have exceptional verbal and written communication skills. • Nice to have: Experience with Airflow, dbt, Snowflake, or equivalent.

🏖️ Benefits

• We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more! • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.