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AgileEngine

AgileEngine

Senior Data Engineer ID88015

Bogota, COVor OrtUnbefristetVollzeit

Veröffentlicht am 9. Sept. 2026

Diese Stelle wird in ES ausgeschrieben

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

We are looking for a Senior Data Engineer to lead the replacement of a third-party digital ingestion tool with a custom-built ETL pipeline. This person will document existing logic, evaluate build-vs-buy options such as Fivetran, and build a standalone pipeline within an existing AWS environment. Strong SQL and DSP or programmatic advertising experience are central to this role.

WHAT YOU WILL DO

  • Document current ingestion logic inside the legacy tool (TapClicks), including sources, endpoints, schemas, and transformation logic.
  • Build the ETL pipeline to replace the legacy system, handling ingestion from the Amazon API, other DSP platforms, and related digital data sources.
  • Evaluate and decide between off-the-shelf solutions (e.g., Fivetran) and custom-built ETL systems alongside the Infrastructure Lead.
  • Design the pipeline as a standalone, owned system to power client-facing dashboards.
  • Provide flexible engineering support for application and backend work within the AWS environment when directed.
  • Coordinate with data science teams to ensure ingestion output aligns with the attribution and scoring logic of downstream models.
  • Work seamlessly within the existing AWS environment (ECS, S3, RDS) rather than standing up parallel infrastructure.

MUST HAVES

  • 4+ years of strong 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, Amazon Advertising API, or comparable programmatic platforms).
  • Working knowledge of AWS data services (RDS/Postgres, S3, ECS) sufficient to build within an existing cloud environment.
  • Ability to contribute to application and backend work beyond pure ETL to support broader platform needs.
  • Familiarity with, or ability to quickly evaluate, managed ELT tools (such as Fivetran) against custom builds.
  • Ability to ramp into existing attribution and scoring logic so ingestion output aligns with downstream dashboard needs.
  • Upper-intermediate English level.

NICE TO HAVES

  • Experience replacing legacy third-party data pipelines with owned, custom infrastructure.
  • Familiarity with MLOps pipelines and how data feeds predictive models.
  • Experience working alongside part-time technical advisory leads to validate architecture decisions.

PERKS AND BENEFITS

  • 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.

Rollenübersicht

Jobart

Vollzeit

Erforderliche Kompetenzen

SQL (large-scale querying and analytics)ETL pipeline development (batch ETL, orchestration, schema design)Programmatic advertising / DSP data (Amazon DSP, Amazon Advertising API)AWS data services (S3, RDS/Postgres, ECS)API integration for data ingestion (Amazon API and other DSP/platform APIs)Evaluating managed ELT tools and build-vs-buy decisions (e.g., Fivetran)Data modeling for attribution, scoring, and client-facing dashboardsCollaboration with data science teams to align ingestion with downstream modelsApplication and backend engineering support within AWS beyond pure ETLDocumentation of legacy ingestion logic (TapClicks: sources, endpoints, schemas, transformations)Working within existing cloud infrastructure and integrating into shared environments (avoid standing up parallel infra)Orchestration and workflow scheduling for data pipelinesEnglish communication (upper-intermediate)Replacing legacy third-party data pipelines with custom owned infrastructure (nice-to-have)Familiarity with MLOps pipelines and how data feeds predictive models (nice-to-have)

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Senior Data Engineer ID88015 bei AgileEngine in Bogota | Scovai | Scovai