Data Engineer ID52084

AgileEngine • Downey, CA

4d

About The Position

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.

Requirements

• 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.

Responsibilities

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees