Data Engineer for YipitData

TurnKey Labs; Brasil; Presencial; BRL 150 000 - 230 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Vacation time

Parental leave

Team events

Learning reimbursement

Flexible PTO

Personal laptop

Health and wellness

Resumo da oferta

YipitData in Brazil is seeking a highly skilled Data Engineer to join our dynamic Data Engineering team. The ideal candidate should have 4+ years of data engineering experience, and strong expertise in Spark, PySpark, SQL, and end-to-end data pipelines.

You will help build out our core pipelines, set best practices for data modeling, and create AI-ready datasets with rich context and documentation. This is a high-visibility role with potential to grow into leadership as the team expands.

Qualificações

• Bachelor’s or Master’s degree in Computer Science, STEM, or a related technical discipline.
• 4+ years of experience as a Data Engineer or in other technical functions.
• Experience with PySpark, Delta, and Databricks.
• Ability to build end-to-end data pipelines.
• Strong communication and collaboration with stakeholders.

Responsabilidades

• Report directly to a Manager of Data Engineering and receive hands-on training.
• Build and maintain end-to-end data pipelines.
• Set best practices for data modeling and pipeline builds.
• Create AI-ready analytical datasets with structure, metadata, and documentation for AI agents.
• Become an expert at solving complex data pipeline issues using PySpark and SQL.
• Collaborate with stakeholders to incorporate business logic into central pipelines.
• Learn Databricks, Spark, AI, and internal ETL tooling.

Conhecimentos

Spark

PySpark

SQL

Data pipelines

Databricks

Delta Lake

Formação académica

Bachelor's or Master's in CS/STEM

Ferramentas

dbt

Snowflake

DQX

Descrição da oferta de emprego

About Us:

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. 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. Our data and research teams 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, APAC, 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 Engineer to join our dynamic Data Engineering team. The ideal candidate possesses 4-7 years+ of data engineering experience. An excellent candidate should have a solid understanding of Spark, Pyspark, and SQL, and have data pipeline experience. Hired individuals will play a crucial role in helping to build out our data engineering team to support one of our strategic pipelines and optimize for reliability, efficiency, and performance. Additionally, Data Engineering serves as the gold standard for all other YipitData analyst teams, building and maintaining the core pipelines and tooling that power our products. This high-impact, high-visibility team is instrumental to the success of our rapidly growing business. This is a unique opportunity to be the first hire in this team, with the potential to build and lead the team as their responsibilities expand.

As Our Data Engineer You Will:

• 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.

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 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 DQX, dbt, Snowflake, or equivalent.

What We Offer:

• 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.


• Flexible PTO for any reason, including sick days (no specified limits)


• Personal laptop


• Health and wellness package

Candidates must have primary residency (and be physically located) in the country of hire (AKA Brazil) in order to be considered for the position. If hired, the worker must maintain primary residency in the country of hire in order to be eligible for employment.

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. We are proud to be an equal opportunity employer.