Senior Data Engineer: Build Custom ETL Pipelines in AWS (Remote)

AgileEngine, LLC.; Región Centro; Hybrid; MXN 900,000 - 1,300,000; Full time

Benefits offered by this job

Professional growth

Competitive USD-based compensation

Exciting projects with Fortune 500/top

Flextime

Job summary

AgileEngine is seeking a Senior Data Engineer to lead replacing a third‑party ingestion tool with a custom ETL pipeline within our AWS environment. You will document existing logic and evaluate build-vs-buy options, shaping a standalone pipeline for client dashboards.

Strong SQL and DSP data experience are essential, as is familiarity with AWS data services and potential ELT tools. English proficiency is required for cross‑team collaboration.

Qualifications

• 4+ years of SQL and large-scale data ingestion/pipeline experience (batch ETL, orchestration, schema design).
• Direct or adjacent experience with digital advertising/DSP data (e.g., Amazon DSP or comparable platforms).
• Working knowledge of AWS data services (RDS/Postgres, S3, ECS).
• Ability to contribute to application and backend work beyond pure ETL to support broader platform needs.
• Familiarity with or ability to evaluate ELT tools (such as Fivetran) against custom builds.
• Ability to ramp into existing attribution and scoring logic so ingestion output aligns with dashboards.
• Upper-intermediate English level.

Responsibilities

• Document current ingestion logic inside the legacy tool (TapClicks), including sources, endpoints, schemas, and transformation logic.

Skills

SQL & large-scale ingestion

DSP data experience

AWS data services

Backend & app work

ELT tools (Fivetran)

Attribution & scoring integration

English (Upper-intermediate)

Tools

TapClicks

Amazon DSP

Amazon S3

Amazon RDS

AWS ECS

Job description

AgileEngine is seeking a Senior Data Engineer to lead replacing a third‑party ingestion tool with a custom ETL pipeline within our AWS environment. You will document existing logic and evaluate build-vs-buy options, shaping a standalone pipeline for client dashboards.

Strong SQL and DSP data experience are essential, as is familiarity with AWS data services and potential ELT tools. English proficiency is required for cross‑team collaboration.