Job Description AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia. If you like a challenging environment where you're working with the best and are encouraged to learn and experiment daily, there's no better place — guaranteed! :) What you will do Tasking with feature engineering, understanding our sales teams goals, identifying opportunities for sales to engage with their clients, and light data engineering where appropriate; Initial tasks will be to predict likelihood that, when a sales rep reaches out, a client will buy a specific product; Analyzing, designing, and implementing efficient data pipelines (ETLs) to work together Data Engineers teammates to integrate data from various sources into Indeed's data platforms; Designing and implementing data model changes that align with data standards; Work with existing APIs written in Flask (python); Crafting ideal opportunity types and cohorts for sales to work; Monitoring production data pipelines daily to ensure completion, maintain data quality, and address performance issues; Reading and interpreting system logs to evaluate system health or perform root cause analysis; Identifying pipeline issues and working with colleagues, vendors, and external teams to resolve; Clearly communicating pipeline statuses with management and stakeholders. Must haves Ideally a bachelor's degree in computer science, computer engineering, or an engineering discipline; 5+ years of industry experience in software development and/or data science with strong expertise in fast-paced and deliver-focused environments; 2+ years of experience building ML models in a sales type environment; Extensive production experience in SQL; Extensive experience building an ETL from scratch; 3+ years of experience with Python/Flask; 3+ years of hands-on experience with big data technologies (such as Redshift, Hive, Trino/Presto, or similar technologies); Experience with modeling data; Experience in Athena; Experience with MySQL; Experience in Gitlab CI; Experience in AWS cloud platform (SQS, S3 services); Extensive experience in writing technical documentation; Upper-intermediate English level. Nice to haves Experience in Spark; Experience in Tableau or Google Data Studio; ETL work will be in Dagster but may not be a primary focus of the individual. 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. Requirements Ideally a bachelor's degree in computer science, computer engineering, or an engineering discipline; 5+ years of industry experience in software development and/or data science with strong expertise in fast-paced and deliver-focused environments; 2+ years of experience building ML models in a sales type environment; Extensive production experience in SQL; Extensive experience building an ETL from scratch; 3+ years of experience with Python/Flask; 3+ years of hands-on experience with big data technologies (such as Redshift, Hive, Trino/Presto, or similar technologies); Experience with modeling data; Experience in Athena; Experience with MySQL; Experience in Gitlab CI; Experience in AWS cloud platform (SQS, S3 services); Extensive experience in writing technical documentation; Upper-intermediate English level.
