Job description agileengine is an inc. * 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 as a data engineer, you'll be part of a small, senior team building a cloud-native data platform on aws from the ground up — moving raw data through bronze, silver, and gold layers into clean, trusted, analytics-ready datasets that directly power business decisions.working closely with the data architect and head of data, you'll have real visibility into the full data lifecycle: pipeline design, data quality, governance, and delivery.if you want a role where your engineering work is foundational rather than incremental, and where the stack — s3, glue, redshift, dbt, airflow, pyspark — is genuinely modern, this is it.what you will do - build and maintain scalable etl and elt pipelines across aws services; - implement medallion architecture for data ingestion, transformation, and delivery; - collaborate with data architects on data modeling and schema design; - develop ingestion frameworks for structured, semi-structured, and streaming data; - integrate data quality, lineage, and observability into pipelines; - work with analytics and business teams to deliver consistent and well-documented data; - write clean and testable python and sql code following best practices; - support data governance and security standards including compliance requirements; - monitor pipeline performance, troubleshoot issues, and optimize scalability and cost efficiency.must haves - 5+ years of experience as a data engineer working with aws data ecosystems ; - strong experience with aws services (s3, glue, lambda, kinesis, redshift, athena, step functions) ; - proficiency in python, pyspark, and sql for data transformation; - strong understanding of etl design patterns, batch and streaming data processing; - knowledge of data modeling (star schema, snowflake schema, incremental processing); - experience with orchestration tools (airflow, step functions, dbt) ; - understanding of data governance, data quality frameworks, and ci/cd for pipelines; - experience working in agile, cross-functional environments; - upper-intermediate english level .perks and benefits - professional growth: mentorship, techtalks, and personalized growth roadmaps.- competitive compensation: usd-based pay with education, fitness, and team activity budgets.- exciting projects: modern solutions with fortune 500 and top product companies.- flextime: flexible schedule with remote and office options.requirements - 2–3+ years of experience in growth or marketing performance roles — ideally in the b2b saas or tech services space.- understanding of the ai market landscape, with the ability to promote ai development services and translate technical capabilities into marketing messages.- proven experience running successful marketing campaigns and managing performance metrics.- familiarity with crm and sales engagement platforms (e.g. Instantly, reply.io, apollo).- strong analytical skills with the ability to interpret data and generate actionable insights.- excellent organizational skills and attention to detail.- strong written and verbal communication skills in english.