[Job-26879] MidLevel Data Engineer, Colombia

We are hiring mid-level Data Engineers to support a data modernization initiative migrating core systems from Amazon Redshift to Snowflake. This role is hands-on and delivery-focused, working under a Principal Data Architect and alongside a Data Product Manager. This is not a senior or architecture role. The focus is on implementing ingestion pipelines, transformations, and data models following established standards.

Data Pipeline Development

Build and maintain data ingestion pipelines from APIs and SFTP sources

Implement ELT transformations using SQL and dbt (or similar)

Support incremental loads, historical backfills, and schema changes

Monitor and troubleshoot pipeline failures

Snowflake Implementation

Create and maintain Snowflake tables, views, and tasks

Optimize queries and warehouse usage for performance and cost

Follow defined modeling, naming, and governance standards

Collaboration

Work closely with the Data Architect to implement target designs

Collaborate with the Data Product Manager on data requirements

Participate in agile ceremonies (standups, planning, reviews)

Document pipelines and data assumptions clearly

Technical Skills

3–6 years of experience as a Data Engineer

Strong SQL skills (analytical queries, joins, performance tuning)

Hands-on experience with cloud data warehouses

(Snowflake preferred; Redshift, BigQuery, or similar acceptable)

Experience building pipelines using APIs and/or SFTP

Experience with ELT frameworks (dbt preferred)

Cloud & Data Foundations

Experience working in AWS environments (S3, IAM basics)

Understanding of data modeling concepts (staging, facts, dimensions)

Exposure to orchestration tools (Airflow or similar)

Communication

Advanced English (spoken and written)

Comfortable collaborating with US-based stakeholders

Ability to raise risks and blockers proactively

Snowflake certifications

Financial services or regulated industry experience

Python for data processing or automation

Experience supporting production data platforms

If you like it, just apply and good luck!

#LI-JM2