Data Engineer

SuperSummary; São Paulo; Teletrabalho; BRL 80.000 - 120.000; Tempo integral

Resumo da oferta

A remote-first startup is seeking a Data Engineer for its EdTech business, SuperSummary. This role involves designing, building, and optimizing data systems to provide actionable insights for product development. Candidates should have a strong background in Python, SQL, and cloud platforms like Azure. The position promotes collaboration across teams and offers a competitive salary with various perks.

Serviços

Competitive salary

Benefits and vacation policy

Workspace improvement stipend

Professional development stipend

Qualificações

• 3–6 years of experience in data engineering.
• Strong foundation in Python and SQL for building data solutions.
• Proven experience with cloud platforms like Azure.

Responsabilidades

• Design and develop scalable data pipelines.
• Integrate data from diverse sources.
• Ensure data quality and governance.

Conhecimentos

Python

SQL

Problem Solving

Communication

Formação académica

Bachelor’s degree in Mathematics

Bachelor’s degree in Computer Science

Bachelor’s degree in Engineering

Bachelor’s degree in Economics

Bachelor’s degree in Statistics

Ferramentas

Azure Data Factory

Azure Databricks

Synapse Analytics

Azure Data Lake

Azure SQL Database

Azure Blob Storage

Spark

Tableau

Power BI

QlikView

Descrição da oferta de emprego

About the Company

Lift Ventures, a remote-first startup studio whose portfolio of businesses has reached over 250 million consumers to date, is seeking a seasoned and talented Data Engineer for SuperSummary, our fast-growing EdTech business. SuperSummary is a subscription-based website and mobile app offering a library of professionally written study guides and other educational tools and resources on thousands of books for students, teachers, and readers of all types.

About the Job

We are looking for a Data Engineer to join our fully remote team and play a key role in designing, building, and optimizing our data systems. Reporting to the Data Engineering Coordinator, you will collaborate with product managers, department leaders, data scientists, and analysts to deliver high-quality, actionable data insights that shape product development, drive innovation, and support strategic decision-making across the company.

This position is 100% remote, with a preference for candidates based in Latin America. Our distributed team spans the U.S., Brazil, the Philippines, and beyond — we value diverse perspectives and an inclusive, collaborative work environment.

Key Responsibilities

Design and Develop Scalable Data Pipelines

• Build, maintain, and optimize robust ETL/ELT pipelines using tools such as Azure Data Factory, Azure Databricks, or Synapse Analytics.

• Ensure pipelines meet business requirements, are scalable, efficient, and well-documented.

Data Integration and Management

• Integrate data from diverse sources, including APIs, data warehouses, cloud services, and more.

• Manage and optimize data storage solutions like Azure Data Lake, Azure SQL Database, and Azure Blob Storage.

Ensure Data Quality and Governance

• Implement data quality monitoring systems and checks to ensure accuracy, consistency, and reliability.

• Uphold data governance policies and ensure compliance with data security and privacy standards.

Cross-Functional Collaboration

• Work closely with cross-functional stakeholders to understand evolving data needs and translate them into scalable solutions.

• Provide technical support for data-related issues and contribute to the continuous improvement of the data infrastructure.

Performance Optimization

• Monitor, troubleshoot, and enhance the performance and availability of data pipelines.

• Optimize data workflows to improve speed, efficiency, and cost-effectiveness.

Documentation and Best Practices

• Document data architectures, workflows, and processes to ensure transparency and knowledge sharing.

• Advocate for and apply best practices in data engineering, staying current with emerging tools and technologies.

Sample Projects

• Unified Traffic & Session Pipelines

Built scalable ETL/ELT workflows (Airflow/Databricks) that merged clickstream and session data from Amplitude, Google Analytics, AWR, etc., into a central analytics layer—powering cross-platform marketing + product dashboards.

• External Data Ingestion & Enrichment

Developed Python-based scrapers and API orchestrations to pull competitive pricing, book metadata, and review data—fusing it into our recommendation engine for richer decision-making.

• Data Lakehouse & Warehouse Architecture

Led rollout of a cloud-native Lakehouse (Delta on Databricks/Azure Synapse) alongside a star-schema enterprise warehouse—standardizing schemas, partitioning strategies, and CI/CD for SQL artifacts (dbt or Synapse pipelines).

• Data Governance & Quality Framework

Established data ownership models, automated lineage tracking, and built monitoring jobs (Great Expectations) to catch schema drift, null spikes, and stale datasets before they hit BI tools.

• Database Performance & Cost Optimization

Tuned Postgres/Azure SQL/MySQL clusters (indexing, query refactoring, partitioning), slashed query runt.

Qualifications

• 3–6 years of experience in data engineering, with a strong foundation in Python and SQL for building, optimizing, and maintaining data pipelines, transformations, and data-driven solutions.

• Bachelor’s degree (or equivalent experience) in Mathematics, Computer Science, Engineering, Economics, Statistics, or a related technical field.

• Proven experience working with cloud platforms such as Azure (strongly preferred), AWS, or Google Cloud Platform, including hands-on knowledge of cloud-based data tools and services.

• Solid understanding of data modeling, ETL/ELT development, and data warehousing principles, with a track record of applying best practices to design scalable and efficient systems.

• Advanced proficiency with Spark (or similar distributed data processing frameworks), demonstrating the ability to work with large, complex datasets and optimize performance.

• Familiarity with integrating data into visualization and BI tools (e.g., Tableau, Power BI, QlikView) to support downstream analytics and insights.

• Strong problem-solving skills with a systems-thinking approach — able to tackle complex technical challenges, design end-to-end solutions, and continuously improve processes.

• Excellent communication and collaboration skills, with a proven ability to work effectively across cross-functional and international teams.

• Comfortable working in a professional English-speaking environment (both written and verbal).

Perks & Benefits

• Work with a distributed, global team that has been remote-first since 2018

• Competitive salary, benefits, and vacation policy

• Workspace improvement stipend

• Professional development and learning stipend

EEOC Statement

SuperSummary supports workplace diversity and does not discriminate on the basis of age, race, national origin, religion, gender identity or expression, sexual orientation, pregnancy, physical or mental disability, or any other protected class.

We welcome diverse perspectives and are dedicated to fostering an inclusive workplace where everyone can grow and thrive. We understand that candidates may not meet every requirement in the job description, but we strongly encourage individuals from all backgrounds to apply. If you’re passionate about this role and our mission, even if your experience doesn’t perfectly match, we’d love to hear from you and explore how you can contribute to our team.