Senior Data Engineer (Databricks) — Data & Analytics Platform | DR
•Truelogic· 7h
EngineeringFull-timeWorldwide
7h ago
Truelogic·about 7 hours ago
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.
A technology-driven organization operating in the marketing and analytics space, focused on building advanced data platforms that power media mix modeling, scenario planning, and large-scale analytical decision-making.
The Data Engineer will play a key role in designing, building, and optimizing scalable data pipelines that support complex analytics and modeling use cases. This role is ideal for a hands-on engineer with strong experience in PySpark and Databricks who enjoys working on performance-critical data workflows and transforming large datasets efficiently.
The ideal candidate brings deep expertise in ETL development, data transformations, and pipeline optimization, along with the ability to collaborate effectively across technical and non-technical teams. You will contribute directly to the reliability, scalability, and cost-efficiency of a modern data platform.
Design, build, and maintain scalable ETL pipelines for large-scale data processing.
Implement data transformations and workflows using PySpark at an intermediate to advanced level.
Work extensively with Databricks to develop, manage, and optimize data pipelines.
Optimize pipelines for performance, scalability, and cost efficiency across environments.
Troubleshoot, debug, and resolve data processing and pipeline issues.
Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions.
Apply best practices for data quality, governance, and performance tuning.
Document data workflows, design decisions, and operational processes to ensure maintainability.
5–7 years of professional experience in data engineering.
Strong hands-on proficiency with PySpark (intermediate to advanced level).
Solid experience working with Databricks, including Autoloader, Python-based workflows, and platform best practices.
Proven experience optimizing data pipelines for performance and cost efficiency.
Strong understanding of ETL processes and large-scale data transformations.
Excellent problem-solving skills with the ability to diagnose and resolve complex data issues.
Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.
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.
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!