Data Engineer

OverviewJoin to apply for the Data Engineer (Senior) ID40199 role at AgileEngineAgileEngine 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 Time Zone (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, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Industries
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