Job Description This is a remote position and we are hiring candidates from the whole country.
AgileEngine is one of the Inc. 5000 fastest-growing companies in the US 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 Communicating with the different teams (Analytics, Product, Engineering) to understand their Data needs and business goals; Perform the necessary changes on the client's data lake/pipelines to accomplish their business goals and needs; Building and maintaining complex pipelines to connect different sources of data together; Identifying and optimizing performance bottlenecks; Designing data structures for analytics; Writing clear technical documentation.
Must haves 5+ years experience in software development as Data Engineer; Strong skills and proven experience working with Data Lakes & Warehouse; Practical experience building and maintaining ETL/ELT data pipelines; Great communication skills as well as stakeholder management and requirements gathering; Strong experience with BigQuery, Airflow (AWS MWAA), AWS Athena and AWS Glue; Proficient in Python and SQL; Practical experience in building the data collection, validation and normalization; Advanced English; A strong sense of ownership and willingness to overcome every challenge with the same level of energy, regardless of the complexity or the end goal; Experience working in an environment leveraging remote communication and collaboration tools (e.g.
Github, Slack, JIRA).
Nice to haves Experience working with DBT and Redshift is a high plus; Infrastructure experience as a DevOps Engineer; Experience working with PowerBI; You are passionate about writing clean, modern, maintainable, & highly-performant code; You have a pro-active ability and a self-starter attitude to troubleshoot and solve problems; You have experience working in an Agile environment; You have strong communication skills with excellent interpersonal effectiveness, in one-on-one interactions and presenting to a room; You have self-awareness and a desire to continually improve.
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 5+ years experience in software development as Data Engineer Proficient in Python and SQL Strong skills and proven experience working with Data Lakes & Warehouse Strong experience with BigQuery, Airflow (AWS MWAA), AWS Athena and AWS Glue Practical experience building and maintaining ETL/ELT data pipelines Great communication skills as well as stakeholder management and requirements gathering Practical experience in building the data collection, validation and normalization Upper-Intermediate English.
