AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch.
We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions If you like a challenging environment where you're working with the best and are encouraged to learn and experiment every day, there's no better place - guaranteed!
:) What you will do Design, develop, maintain, and enhance highly scalable data engineering solutions leveraging AWS services; Design, build, document, and implement scalable pipelines with a clear focus on data quality and reliability; Ingest and transform structured, semi-structured, and unstructured data from multiple sources; Build an enterprise-level ETL/ELT solution; Innovate and build proprietary algorithms to tackle complex problems involving interesting data challenges; Execute and continually optimize new customer data ingestion and model implementation processes; Integrate business knowledge with technical functionalities; Often work collaboratively with application engineers, data scientists, product managers, and product delivery teams; Develop solutions at the intersection of data and ML; Monitor workflow performance, and reliability, and ensure SLA targets are met; Automate existing code and processes using scripting, CI/CD, infrastructure-as-code, and configuration management tools; Work with AI (AI is at the heart of everything we do, and if you desire to be closer to the AI scene, we have opportunities to work on problems like NLP, image analysis featurization, and OCR labeling).
Must haves 5+ years of experience with Scala (preferred) OR Java for data engineering and ETL; 5+ years of experience with data pipeline tools such as Spark ; 5+ years of experience working in the AWS ecosystem (preferred), or GCP; High proficiency in SQL programming with relational databases – experience writing complex SQL queries is a must; Experience in using the best practices of Cloud provider AI services; Ability to contribute in an agile, collaborative, and fast-paced environment; An excellent problem-solving ability, to like to think outside of the box to solve common problems; Upper-intermediate English level.
Nice to haves 5+ years of experience with DAG orchestration and workflow management tools like Airflow, or AWS step functions; 3+ years of experience using cloud-provider, AI services; 3+ years of experience with Kubernetes; 3+ years of hands-on experience developing ETL solutions using RDS and warehouse solutions using AWS services (S3, IAM, Lambda, RDS, Redshift, Glue, SQS, EKS, ECR); Experience working with distributed computing tools like Hive; Experience with Git, and CI/CD tools like Jenkins, GitLab CI/CD, or GitHub Actions; Experience with containers/orchestration tools like Docker or Helm; Experience in a fast-paced agile development environment; AWS certifications (AWS Certified Solutions Architect, Developer, or DevOps); Knowledge of commercial claims management systems.
The benefits of joining us 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.