Hi there! 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; ● 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.
Meet Our Recruitment Process Asynchronous stage — An automated, self-paced track that helps us move faster and give you quicker feedback: ● Short online form to confirm basic requirements ● 30–60 minute skills assessment ● 5-minute introduction video
Synchronous stage — Live interviews ● Technical interview with our engineering team (scheduled at your convenience) ● Final interview with your future teammates
