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 and maintain data pipelines and automation systems that power cloud cost visibility, attribution, and performance insights for a Cloud Economics team.
You will build scalable ELT/ETL workflows using Python, SQL, dbt, and Airflow across AWS services including Glue, Athena, and Aurora alongside Snowflake, optimizing for performance, reliability, and cost efficiency.
The role partners closely with Engineering and Finance stakeholders to support cost optimization initiatives and usage-based decision‐making.
WHAT YOU WILL DO
Design, build, and maintain the Cloud Economics team's data pipelines and automation systems.
Build and maintain scalable data pipelines and datasets that power cloud cost visibility, attribution, and performance insights.
Design and implement data models and ingestion frameworks to support large-scale telemetry and usage data.
Develop tooling that enables cost‐aware decision‐making across Product, Engineering, and Finance stakeholders.
Optimize data systems for performance, reliability, and cost efficiency (query tuning, storage strategies, compute optimization).
Partner with Engineering and Finance teams to support cost optimization initiatives and usage-based insights.
Ensure data quality, validation, and auditability across end-to-end data workflows.
MUST HAVES
4+ years of experience in Data Engineering roles
.
Strong Data Engineering foundation with proven experience building and maintaining
end-to-end ELT/ETL pipelines in cloud environments
.
Strong
SQL and Python
.
Experience with orchestration tools such as
dbt, Airflow, or Dagster
.
AWS data ecosystem experience, including AWS Glue, Amazon Athena, and Amazon Aurora
.
Experience with
Snowflake
.
Strong data modeling and large-scale data processing experience.
Experience with
CI/CD, version control, Infrastructure as Code (Terraform), and REST API integrations
.
Demonstrated ability to optimize data pipelines for performance and cost.
Strong analytical skills with experience in data validation, auditing, and troubleshooting production pipelines.
NICE TO HAVES
FinOps Foundation Certification (Practitioner or Engineer).
Experience with cloud cost optimization, tagging strategies, or cost monitoring.
Experience with AWS and GCP.
Experience with Datadog.
Background in data platform or shared infrastructure engineering.
PERKS AND BENEFITS
Growth without limits
: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
Competitive compensation
: get recognition that reflects your skills and impact, with regular performance and compensation reviews
Flexibility
: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
Meaningful, modern projects
: build impactful products using modern technologies alongside global teams and leading brands
Collaborative culture
: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
Well-being & support
: access local well‐being programs and people‐focused support tailored to your location
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/Lead Data Engineer
to build and maintain the pipelines and data models behind a centralized HR data warehouse.
Working in Snowflake, DBT, Python, and Airflow, this person designs semantic layers that make HR data consumable by both BI tools and AI agents.
Experience with Snowflake Cortex or MCP-based tooling for agentic querying is a strong plus.
WHAT YOU WILL DO
Develop and maintain secure, efficient data pipelines using DBT, PySpark, and Python applications within a supported cloud environment for HR data sources.
Build the infrastructure and tooling required for optimal extraction, transformation, and loading of data from a wide variety of sources using Python, DBT, Terraform, and AWS technologies such as Glue, EMR, and S3.
Identify and implement internal process improvements, develop tests within the Data Quality Framework, monitor pipelines to maintain 99.5% uptime, and create and maintain the data models used by partner teams.
Design and build semantic views and ontology layers on top of existing dbt models (CORE → SEMANTIC → METRICS) so HR data is consumable by both BI tools and AI agents/LLMs,



defining business-friendly entities, relationships, and metrics that abstract away raw warehouse structure.
Develop and deploy AI agents (e.g., via Snowflake Cortex Analyst/Cortex Search) for HR COE use cases — including PE, iCIMS, LMS, and Sales/CS Worker agents — enabling natural‐language querying over certified HRDM data.
Configure and maintain MCP (Model Context Protocol) connections between Snowflake and internal AI tooling to securely expose HR data to conversational and agentic interfaces.
MUST HAVES
4+ years of experience
.
Snowflake
, including data modeling, datamarts, and data warehouse design.
DBT
for data transformations.
Python
, including object‐oriented programming and data scripting.
Airflow
for pipeline orchestration.
REST API integration and data ingestion
.
Google BigQuery
querying and optimization.
Secure handling of large-scale and sensitive data.
Real‐time data processing (e.g., from Google Sheets or APIs).
Strong
SQL
, including highly optimized queries.
NICE TO HAVES
Semantic layer / semantic modeling design, providing business‐object abstraction over dbt and warehouse models.
Snowflake Cortex (Cortex Analyst, Cortex Search) or equivalent LLM‐native query layers.
MCP (Model Context Protocol) or similar tool‐calling / context‐exposure frameworks.
Familiarity with prompt and context engineering for grounding LLM agents in certified data sources.
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.
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.
Job Description
AgileEngine is an Inc. **** 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 adaptable 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.
#J-*****-Ljbffr

📌 Senior Data Engineer — Remote, Flexible Hours, Cloud (Mendoza)
🏢 AgileEngine
📍 Mendoza