YipitData Senior Data Pipeline Engineer

Job description

<p><p><b>About Us : </b><br/><br/>YipitData is the leading market research and analytics firm for the disruptive economy and most recently raised $475M from The Carlyle Group at a valuation of over $1B.<br/><br/>Every day, our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like software, AI, cloud, e-commerce, ridesharing, and payments.<br/><br/>Our data and research teams transform raw data into strategic intelligence, delivering accurate, timely, and deeply contextualized analysis that our customers - ranging from the worlds top investment funds to Fortune 500 companies - depend on to drive high-stakes decisions.<br/><br/>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.<br/><br/>We operate globally with offices in the US (NYC, Austin, Miami, Mountain View), APAC (Hong Kong, Shanghai, Beijing, Guangzhou, Singapore), and India.<br/><br/>Our award-winning, people-centric culture - recognized by Inc.<br/><br/>as a Best Workplace for three consecutive years - emphasizes transparency, ownership, and continuous mastery.<br/><br/><b>What Its Like to Work at YipitData : </b><br/><br/>YipitData isnt a place for coasting - its a launchpad for ambitious, impact-driven professionals.<br/><br/>From day one, youll take the lead on meaningful work, accelerate your growth, and gain exposure that shapes careers.<br/><br/><b>Why Top Talent Chooses YipitData : </b><br/><br/>Ownership That Matters : Youll lead high-impact projects with real business outcomes.<br/><br/>Rapid Growth : We compress years of learning into months.<br/><br/>Merit Over Titles : Trust and responsibility are earned through execution, not tenure.<br/><br/>Velocity with Purpose : We move fast, support each other, and aim high - always with purpose and intention.<br/><br/>If your ambition is matched by your work ethic - and you're hungry for a place where growth, impact, and ownership are the norm - YipitData might be the opportunity youve been waiting for.<br/><br/><b>About The Role : </b><br/><br/>We are seeking a highly skilled Data Pipeline Engineer to join our dynamic Data Engineering team.<br/><br/>The ideal candidate possesses 5 8 years of data engineering experience.<br/><br/>An excellent candidate should have a solid understanding of Spark and SQL,and have data pipeline experience.<br/><br/>Hired individuals will play a crucial role in helping to build out our data engineering team to support our strategic pipelines and optimize for reliability, efficiency, and performance.<br/><br/>Additionally, Data Engineering is the gold standard for YipitData analyst teams, building and maintaining the core pipelines and tooling that power our products.<br/><br/>This high-impact, high-visibility team is instrumental to the success of our rapidly growing business.<br/><br/>In this role, youll 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 teams responsibilities expand.<br/><br/>This is a remote opportunity based in India.<br/><br/>During training and onboarding, we will expect several hours of overlap with US working hours.<br/><br/>Afterward, standard IST working hours are permitted with the exception of 1-2 days per week, when you will join meetings with the US team.<br/><br/><b>As Our Data Pipeline Engineer You Will : </b><br/><br/>- Report directly to the Senior Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques.<br/><br/>- Design, build, and maintain reliable data pipelines that power key products and analyses.<br/><br/>- Detect and resolve performance bottlenecks using Spark UI, logs, and metrics.<br/><br/>- Contribute ideas to improve data models, coding standards, and ETL workflows across the team.<br/><br/>- Collaborate with analysts and other engineers to convert business requirements into scalable datasets.<br/><br/>- Participate in code reviews, author clear documentation, and share learnings through demos and write-ups.<br/><br/>- Continuously deepen your expertise in Databricks, Spark, and AWS by owning increasingly complex projects.<br/><br/><b>You Are Likely To Succeed If : </b><br/><br/>- You hold a Bachelors or Masters degree in Computer Science, STEM, or a related technical discipline.<br/><br/>- You have 5+ years of experience as a Data Engineer or in other technical functions.<br/><br/>- You are excited about solving data challenges and learning new skills.<br/><br/>- You have a great understanding of working with data or building data pipelines.<br/><br/>- You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks.<br/><br/>- You understand business needs and the rationale behind data transformations to ensure alignment with organizational goals and data strategy.<br/><br/>- You are eager to constantly learn new technologies.<br/><br/>- You are a self-starter who enjoys working collaboratively with stakeholders.<br/><br/>- You have exceptional verbal and written communication skills.<br/><br/><b>What We Offer : </b><br/><br/>Our compensation package includes comprehensive benefits, perks, and a competitive salary : <br/><br/>We care about your personal life, and we mean it.<br/><br/>We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!<br/><br/>Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics.<br/><br/>Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust.<br/><br/>See more on our high-impact, high-opportunity work environment above!<br/><br/>We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status.<br/><br/>We are proud to be an equal-opportunity employer.<br/></p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations