Senior Data Engineer – Sales Intelligence (Brazil) na Truelogic

About Truelogic

At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.

Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.

By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.

Our Client

A leading provider of sales intelligence solutions helping businesses accelerate growth through data-driven insights.

Job Summary

We’re looking for a Senior Data Engineer to join the enterprise data engineering team. You’ll play a key role in building and optimizing data pipelines, designing scalable data solutions, and enabling advanced analytics across the organization. This is a high-impact role where you’ll work closely with engineers, analysts, and data scientists to ensure data is accurate, reliable, and accessible.

Responsibilities

• Build and continuously improve data gathering, modeling, and reporting capabilities.

• Design and maintain data pipelines and ETL workflows to ensure efficient processing of large datasets.

• Collaborate with cross-functional teams (engineers, analysts, product owners, scientists) to identify and meet data needs.

• Develop and maintain data warehouse solutions, ensuring performance and scalability.

• Implement quality checks and enforce data governance best practices.

• Contribute to the self-service data platform and empower teams with accessible data.

Qualifications and Job Requirements

• 8+ years of experience as a Data/BI Engineer.

• Strong SQL skills with hands-on experience in SQL and NoSQL databases.

• Proven experience with Snowflake (highly desirable), Redshift, or BigQuery.

• Experience developing pipelines with Airflow or equivalent orchestration software.

• Proficiency in Python (notebooks and data processing).

• Hands-on experience with DBT for data modeling and transformations.

• Experience with AWS or GCP services (e.g., S3/GCS, Lambda/Cloud Functions, EMR/Dataproc, Glue/Dataflow, Athena).

• Strong understanding of data cleaning, transformation, and ETL design.

• Experience implementing data quality checks and monitoring.

• Strong and clear communication skills.

What We Offer

• 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.

• Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.

• Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.

• Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.

• Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Why You’ll Like Working Here

• A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.

• Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.

• Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.

Apply now!