Aimpoint Digital
Senior Data Engineer 2026 COL
Remote Data Engineering role with clear candidate location fit.
PostedJun 13, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Colombia
Role overview
Senior Data Engineer 2026 COL
Requirements and responsibilities
Readable role content extracted into sections for faster review.
You will:
- Become a trusted advisor working together with our clients, from data owners and analytic users to C-level executives
- Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries
- Design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs
- Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications
- Write code in SQL, Python, and Spark, and use software engineering best-practices such as Git and CI/CD
- Support the deployment of data science and ML projects into production Note: You will not be developing machine learning models or algorithms
- Note: You will not be developing machine learning models or algorithms
Details
- Note: You will not be developing machine learning models or algorithms
Who you are:
- Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
- Experience with managing stakeholders and collaborating with customers
- Strong written and verbal communication skills required
- 3+ years working with relational databases and query languages
- 3+ years building data pipelines in production and ability to work across structured, semi-structured and unstructured data
- 3+ years data modeling (e.g. star schema, entity-relationship)
- 3+ years writing clean, maintainable, and robust code in Python, Scala, Java, or similar coding languages
- Ability to manage an individual workstream independently
- Expertise in software engineering concepts and best practices
- DevOps experience preferred
- Experience working with cloud data warehouses (Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
- Experience working with cloud ETL/ELT tools (Fivetran, dbt, Matillion, Informatica, Talend, etc.) preferred
- Experience working with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) preferred
- Experience working with Apache Spark preferred
- Experience preparing data for analytics and following a data science workflow to drive business results preferred
- Consulting experience strongly preferred
- Willingness to travel
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