Senior Data Engineer ID81743

AgileEngine; Bogotá; A distancia; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Growth without limits

Competitive compensation

Remote work 100%

Meaningful, modern projects

Collaborative culture

Well-being & support

Descripción de la vacante

AgileEngine seeks a Senior Data Engineer to architect and build an enterprise data platform on Snowflake and Azure. You will own the full stack from infrastructure provisioning through pipeline development, data modeling, governance, and observability.

You will create Bronze/Silver/Gold models, implement CI/CD pipelines, enforce HIPAA-aligned data handling and Snowflake RBAC standards, and deliver production-grade pipelines autonomously.

Formación

• 4+ years of hands-on data engineering experience with full production pipeline ownership.
• Proven cloud data platform experience with Snowflake administration and performance tuning.
• Strong SQL and data modeling fundamentals (Kimball, dimensional design, SCD).
• Experience with SQLMesh or DBT in a warehouse-centric architecture.
• Ingestion from REST APIs and SQL Server via Azure Data Factory and Azure Functions.
• Terraform for infrastructure provisioning and CI/CD with GitHub Actions/Azure DevOps.
• Ability to audit and operate an existing data platform built by a third party.
• Upper-intermediate English proficiency.

Responsabilidades

• Develop and maintain scalable data pipelines ingesting from ERP/CRM/SaaS into Snowflake via ADF, Event Hub, and ADLS Gen2.
• Build and optimize Bronze/Silver/Gold data models using SQLMesh.
• Provision and manage all platform infrastructure with Terraform and manage Snowflake/Azure resources.
• Implement CI/CD pipelines for automated testing and multi-environment releases.
• Design and enforce data governance, security, and HIPAA-aligned practices.
• Configure cloud networking and private connectivity (Private Endpoints, Private DNS, VNets).
• Maintain observability with Datadog covering pipeline health and data lineage.
• Write production-grade Python for ingestion utilities and data quality checks.
• Apply Agile practices with stakeholders and maintain reusable engineering standards.
• Diagnose and resolve production issues across pipelines and platform services.

Conocimientos

Snowflake administration

SQL

Data modeling

SQLMesh/DBT

Azure Data Factory

Terraform

CI/CD (GitHub Actions/Azure DevOps)

REST APIs data ingestion

English (Upper-intermediate)

Descripción del empleo

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 architect and build an enterprise data platform from the ground up on Snowflake and Azure, owning the full stack from infrastructure provisioning through pipeline development, data modeling, governance, and observability. You will build Bronze/Silver/Gold data models using SQLMesh, provision all platform resources with Terraform, implement CI/CD pipelines via GitHub Actions, and enforce HIPAA-aligned data handling and Snowflake RBAC standards. The role is a solo senior contributor position requiring high ownership and the ability to deliver production-grade platform without specialist support teams.

WHAT YOU WILL DO

• Develop and maintain scalable data pipelines ingesting from enterprise source systems (EHR, ERP, CRM, SaaS, PMS) into Snowflake using Azure Data Factory, Azure Event Hub, and ADLS Gen2.


• Build and optimize analytics-ready data models (Bronze/Silver/Gold layers) using SQLMesh.


• Provision and manage all platform infrastructure through Terraform, including Snowflake objects, Azure resources, networking components, and access controls, following infrastructure-as-code standards.


• Implement CI/CD pipelines using GitHub Actions for automated testing, environment promotion, and controlled multi-environment releases (dev/test/staging/production).


• Design and enforce data governance, security, and access control standards, including Snowflake RBAC, row-level security, column masking, and HIPAA-aligned data handling practices.


• Configure and maintain cloud networking and private connectivity, including Azure Private Endpoints, Private Link, Private DNS zones, managed identities, and network security groups.


• Build and operate platform-wide observability using Datadog or equivalent, covering pipeline health, data freshness, anomaly detection, alerting, and end-to-end data lineage.


• Write production-grade Python for ingestion utilities, data quality frameworks, and platform integrations, including reconciliation checks and automated tests that block bad data from reaching production.


• Apply Agile delivery practices including sprint planning, standups, and backlog refinement in collaboration with analytics and business stakeholders.


• Establish and document data engineering standards, reusable patterns, and best practices that scale with the platform and organization.


• Diagnose and resolve production issues across pipelines, infrastructure, networking, security, and platform services.

MUST HAVES

• 4+ years of hands-on data engineering experience with full production pipeline ownership in a lean, high-ownership environment (you build it, you own it, you support it).


• Proven track record building and managing cloud data platforms, featuring deep expertise in Snowflake administration and performance tuning.


• Strong SQL and data modeling fundamentals, including Kimball methodology, dimensional design, and Slowly Changing Dimension (SCD) management.


• Production experience with SQLMesh or DBT operating in a warehouse-centric architecture.


• Hands-on experience ingesting data from REST APIs and SQL Server using Azure Data Factory (ADF) and Azure Functions.


• Hands-on experience using Terraform for infrastructure provisioning, paired with robust CI/CD experience using GitHub Actions, Azure DevOps, or equivalent.


• Proven ability to rapidly audit, take over, and operate an existing data platform built by a third-party vendor.


• Upper-intermediate English level.

NICE TO HAVES

• Experience with Power BI, including building or supporting semantic models and paginated reports.


• Healthcare domain knowledge, including familiarity with dental, medical, or HIPAA-regulated data environments.


• Experience with Azure VNet integration, including configuring virtual network peering, service endpoints, or VNet-injected resources.

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