Overview
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 in German TimeZone (6:00–7:00 am to 2:00–3:00 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, with options to work from home or in the office.
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