Data Engineer (Python/PySpark) (Puerto Rico)

RTX
United States
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Collaboration","Rigor","Code review"]

Design and deploy robust batch and streaming ETL/ELT pipelines using Python and PySpark, optimizing Spark jobs for performance and reliability at scale. Build modern data lakehouse architectures with Delta Lake, Iceberg, or Hudi, and maintain workflow DAGs with Apache Airflow. Develop backend Python services and REST APIs to expose processed data, ensuring clean, modular, unit-tested code through rigorous code reviews. Hybrid role based in Puerto Rico.

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FursaFursa
RTX
RTX
2 months ago

Data Engineer (Python/PySpark) (Puerto Rico)

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 21 days agoStatus: Live

Job Summary

Design and deploy robust batch and streaming ETL/ELT pipelines using Python and PySpark, optimizing Spark jobs for performance and reliability at scale. Build modern data lakehouse architectures with Delta Lake, Iceberg, or Hudi, and maintain workflow DAGs with Apache Airflow. Develop backend Python services and REST APIs to expose processed data, ensuring clean, modular, unit-tested code through rigorous code reviews. Hybrid role based in Puerto Rico.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Design and deploy batch and streaming ETL/ELT pipelines using PySpark and Python.
  • •Optimize Spark jobs by tuning configurations, managing partitioning, and resolving data skew or OOM errors.
  • •Implement data lakehouse architectures using Delta Lake, Iceberg, or Hudi.
  • •Build and maintain workflow DAGs using Apache Airflow.
  • •Develop backend Python services or REST APIs to expose processed data to downstream applications.

Pay and Benefits

Perks:Health InsuranceDentalVisionPaid Leave401kLife InsuranceDisability CoverageEmployee AssistanceCounseling SessionsScholar Program

Key Requirements

  • •Must be a U.S. Citizen.
  • •Strong proficiency in Python (OOP, concurrency, data structures) and advanced SQL.
  • •Deep production experience with Apache Spark / PySpark (Data Frames, Spark SQL, RDDs).
  • •Hands-on experience with cloud data platforms like AWS (EMR, Glue), Azure (Databricks), or GCP.
  • •Proficient with Git, Docker, and automated deployment pipelines.
Skills:CollaborationRigorCode review
Certifications:Databricks Certified Data EngineerApache Spark Developer
Tech Stack:PythonPySparkApache SparkSpark SQLRDDsSQLAWSEMRGlueAzureDatabricksGCPSnowflakeBigQueryRedshiftSynapseDelta LakeIcebergHudiApache Airflow

Eligibility

Nationality:US National

Company Brief

RTX
Designs, manufactures, and services aerospace and defense systems, including aircraft engines, avionics, aerostructures, missiles, and cybersecurity solutions for commercial, military, and government customers worldwide.
Industry: Aerospace Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Arlington, United States
Founded: 2020
Website