Senior Data Engineer – Remote Etl & Snowflake Expert

Bluelight Consulting, Llc; Rosario; Remote; ARS 136,687,000 - 197,436,000; Full time

Benefits offered by this job

Professional growth

Competitive compensation

A selection of exciting projects

Flextime

Job summary

AgileEngine, a fast-growing software company, seeks a Senior Data Engineer to design and replace a third‑party ingestion tool with a custom ETL pipeline in our AWS environment. You will document current logic, evaluate Fivetran versus build options, and build a standalone pipeline powering client dashboards.

The role emphasizes strong SQL and DSP data experience, collaboration with data science teams, and contributing beyond ETL to broader platform needs.

Qualifications

• 4+ years of strong SQL and large-scale data ingestion/pipeline experience.
• Direct or adjacent experience with digital advertising / DSP data.
• Working knowledge of AWS data services (RDS/Postgres, S3, ECS).
• Ability to contribute to application/backend work beyond ETL to support broader platform needs.
• Familiarity with managed ELT tools (e.g., Fivetran) vs. custom builds.
• Ability to ramp into existing attribution and scoring logic for dashboards.

Responsibilities

• Document current ingestion logic inside the legacy tool (TapClicks).
• Build the ETL pipeline to replace the legacy system including ingestion from Amazon API and DSP data sources.
• Evaluate off-the-shelf vs custom ETL solutions with Infrastructure Lead.
• Design a standalone owned pipeline powering client dashboards.
• Provide engineering support for AWS-based app/backend work as needed.
• Coordinate with data science teams to align ingestion with downstream models.

Skills

Strong SQL

DSP data experience

ETL / data ingestion

AWS data services

Python

Apache Spark

Data platforms

MLOps familiarity

Tools

Fivetran

PostgreSQL

Snowflake

dbt

BigQuery

Job description

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.

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.

Job Description

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.

More information:

We are looking for a Senior Data Engineer to design, build, and optimize scalable, high‑performance data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python, SQL, Apache Spark, AWS, and modern data engineering architectures , with proven experience working with production‑grade systems in fast‑paced environments.

Candidates must reside exclusively in Argentina, Brazil, or Uruguay.

Senior Data Engineer AWS

Update: The posting is to hire remotely from Latin America only and will be doing work in English and Spanish only.

Job Description

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 design, build, and optimize scalable, high‑performance data platforms supporting large volumes of financial and transactional data. The ideal candidate has strong expertise in Python, SQL, Apache Spark, AWS, and modern data engineering architectures , with proven experience working with production‑grade systems in fast‑paced environments.

Candidates must reside exclusively in Argentina, Brazil, or Uruguay.

Recruiter: W Role

Requirements

- 4-5 years of experience in data engineering, Hadoop, big data, or related software engineering roles, with a proven track record managing data and ETL pipelines and building production-grade systems in fast‑paced environments. Requirement: hiring from Argentina, Brazil or Uruguay and speaking Spanish and English.

- Good knowledge in data ingestion engineering and development of data platforms bringing business intelligence and datafabric pipelines with a strong developer background. Knowledge and experience in Data platform design software engineering.

- Experience in designing data platforms as part of the data stack and full data pipeline design. Experience with databases like PostgreSQL, Snowflake, dbt, AWS, BigQuery. Ability to write complex SQL code and build database schema that match business needs. Understandfulness of business and data.

Job Description etc.