Data Pipeline Engineer

About Us: Our data and research teams at YipitData transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers, ranging from the world's top investment funds to Fortune 500 companies, depend on to drive high-stakes decisions. From sourcing and licensing novel datasets to rigorous analysis and expert narrative framing, our teams ensure clients get not just data, but clarity and confidence. We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India. Our award-winning, people-centric culture, recognized by Inc. as a Best Workplace for three consecutive years, emphasizes transparency, ownership, and continuous mastery. What It's Like to Work at YipitData: YipitData isn't a place for coasting - it's a launchpad for ambitious, impact-driven professionals. From day one, you'll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers. Why Top Talent Chooses YipitData: - Ownership That Matters: You'll lead high-impact projects with real business outcomes - Rapid Growth: We compress years of learning into months - Merit Over Titles: Trust and responsibility are earned through execution, not tenure - Velocity with Purpose: We move fast, support each other, and aim high, always with purpose and intention About The Role: We are seeking a highly skilled Data Pipeline Engineer to join our dynamic Data Engineering team. The ideal candidate possesses 3-6 years of data engineering experience, a solid understanding of Spark and SQL, and data pipeline experience. Data Engineering is the gold standard for YipitData analyst teams, building and maintaining the core pipelines and tooling that power our products. As a Data Pipeline Engineer, you will work closely with analysts, data engineers, and stakeholders to design, debug, and refine high-performance data pipelines in Databricks, while also helping to train and support internal users as the team's responsibilities expand. This is a remote opportunity based in India. As Our Data Pipeline Engineer You Will: - Report directly to the Senior Manager of Data Engineering for hands-on training on cutting-edge data tools and techniques. - Design, build, and maintain reliable data pipelines that power key products and analyses. - Detect and resolve performance bottlenecks using Spark UI, logs, and metrics. - Contribute ideas to improve data models, coding standards, and ETL workflows. - Collaborate with analysts and engineers to convert business requirements into scalable datasets. - Participate in code reviews, author clear documentation, and share learnings through demos and write-ups. - Deepen your expertise in Databricks, Spark, and AWS by owning increasingly complex projects. You Are Likely To Succeed If: - You hold a Bachelor's or Master's degree in Computer Science, STEM, or a related technical discipline. - You have 3+ 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. What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more. At YipitData, your growth is determined by the impact you make, not by tenure or office politics. Our environment is focused on ownership, respect, and trust, empowering everyone to learn, self-improve, and master their skills.,