Data Engineer (Senior) ID40199

AgileEngine; Bahía Blanca; A distancia; ARS 100.082.000 - 142.976.000; Jornada completa

Descripción de la vacante

A software development company in Buenos Aires is looking for a Senior Data Engineer to design and optimize scalable data solutions. The ideal candidate has over 5 years of experience with AWS services, Hadoop, and Spark. This role includes competitive USD-based compensation and opportunities for professional growth with flexible working hours.

Servicios

Professional growth opportunities

Competitive USD-based compensation

Flextime options

Formación

• 5+ years of experience in data engineering or software engineering.
• Strong expertise in AWS services like S3, EMR, Glue, and Redshift.
• Experience with big data ecosystems including Hadoop and Spark.

Responsabilidades

• Design, build, and maintain large-scale data pipelines in AWS.
• Develop and optimize data workflows using Hadoop and Spark.
• Collaborate with data scientists to deliver data solutions.

Conocimientos

AWS services

Hadoop

Apache Spark

SQL

Python

Data modeling

Problem-solving

English

Educación

Bachelor’s or Master’s degree in Computer Science or Engineering

Herramientas

Airflow

Docker

Kubernetes

Descripción del empleo

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Senior Data Engineer to take ownership of our data infrastructure, designing and optimizing high-performance, scalable solutions. You’ll work with AWS and big data frameworks like Hadoop and Spark to drive impactful data initiatives across the company.

WHAT YOU WILL DO

• Design, build, and maintain large-scale data pipelines and data processing systems in AWS.
• Develop and optimize distributed data workflows using Hadoop, Spark, and related technologies.
• Collaborate with data scientists, analysts, and product teams to deliver reliable and efficient data solutions.
• Implement best practices for data governance, security, and compliance.
• Monitor, troubleshoot, and improve the performance of data systems and pipelines.
• Mentor junior engineers and contribute to building a culture of technical excellence.
• Evaluate and recommend new tools, frameworks, and approaches for data engineering.

MUST HAVES

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field;
• 5+ years of experience in data engineering, software engineering, or related roles;
• Strong hands-on expertise with AWS services (S3, EMR, Glue, Lambda, Redshift, etc.);
• Deep knowledge of big data ecosystems, including Hadoop (HDFS, Hive, MapReduce) and Apache Spark(PySpark, Spark SQL, streaming);
• Strong SQL skills and experience with relational and NoSQL databases;
• Proficiency in Python, Java, or Scala for data processing and automation;
• Experience with workflow orchestration tools (Airflow, Step Functions, etc.);
• Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts;
• Excellent problem-solving skills and ability to work in fast-paced environments;
• Ability to work German TimeZone (:6 - 7 am to : 2-3 pm Brazil/ ART time),
• Upper-Intermediate English level.

NICE TO HAVES

• Experience with real-time data streaming platforms (Kafka, Kinesis, Flink).
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with data governance, lineage, and catalog tools.
• Previous leadership or mentoring experience.

PERKS AND BENEFITS

• Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
• Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
• A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.