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
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.
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