Senior Data Engineer - Remote (PySpark/Databricks, MMM)

Software; New York (NY); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

USD pay

Paid time off

Autonomy

Work with US clients

Job summary

Truelogic is seeking a Senior Data Engineer for a remote role focused on digital marketing data pipelines. The ideal candidate will bring 5–7 years of hands-on experience with ETL, PySpark, and Databricks, delivering scalable data solutions for a fast-growing client in Brazil.

You will optimize pipelines, collaborate with cross-functional teams, and ensure data quality and governance. The position offers 100% remote work, competitive USD compensation, PTO, autonomy, and exposure to top American

Qualifications

• 5–7 years of hands-on data engineering experience building production-grade solutions.
• Strong proficiency in PySpark and Databricks.
• Advanced knowledge of Databricks AutoLoader, Python, best practices, performance tuning, and compute cost optimization.
• Deep understanding of end-to-end ETL processes, complex data transformations, and pipeline optimization.
• Excellent problem-solving and ability to communicate technical concepts clearly to technical and business teams.

Responsibilities

• Design, build, and maintain scalable ETL pipelines for large-scale data processing.
• Work extensively with PySpark and Databricks to perform complex data transformations and workflows.
• Fine-tune data pipelines for performance, scalability, and cloud cost-efficiency.
• Collaborate with engineering and business teams to translate requirements into data solutions.
• Debug, resolve, and prevent data processing and pipeline bottlenecks.
• Enforce data quality, governance, and system performance standards.

Skills

PySpark

Databricks

Python

ETL pipelines

Data transformation

Performance tuning

Compute cost optimization

Tools

Databricks AutoLoader

Job description

Truelogic is seeking a Senior Data Engineer for a remote role focused on digital marketing data pipelines. The ideal candidate will bring 5–7 years of hands-on experience with ETL, PySpark, and Databricks, delivering scalable data solutions for a fast-growing client in Brazil.

You will optimize pipelines, collaborate with cross-functional teams, and ensure data quality and governance. The position offers 100% remote work, competitive USD compensation, PTO, autonomy, and exposure to top American