Data Engineer, Python, SQL, Data for AI

Newton Vision Co.

. Build and maintain data ingestion and ETL/ELT pipelines .

Posted 9/24/2026full-timeRemote • ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data ingestion and ETL/ELT pipelines, with strong proficiency in Python and SQL. Capable of designing and optimizing data models in cloud data warehouses while ensuring data quality and performance.

Highest-signal resume keywords

Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyCloud Data Warehouse ExperienceETL/ELT Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionETLELTData ModelingData Quality ChecksPipeline MonitoringQuery OptimizationData TransformationData Retrieval-Augmented GenerationChange Data Capture

Tools & Technologies

BigQuerySnowflakeRedshiftDbtAirflowGitGCPAWSAzure

Industry Keywords

Data WarehouseData PipelineCloud ComputingData QualityStreaming Data

Tech Stack

Tools & technologies

AirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Build and maintain data ingestion and ETL/ELT pipelines
Design, model, and document data in a cloud data warehouse
Implement data quality checks, monitor pipelines, and troubleshoot failures
Partner with product and AI teams to make trusted data available for new use cases
Optimize queries, pipeline performance, and cloud costs

Requirements

What you’ll need

Professional experience building and maintaining data pipelines
Strong Python and SQL skills
Experience with at least one cloud data warehouse, such as BigQuery, Snowflake, or Redshift
Experience with dbt or a comparable transformation tool, as well as pipeline orchestration
Familiarity with testing, Git, and deployment practices
Experience with Airflow, streaming data, or change data capture (CDC) (nice to have)
Experience with GCP, AWS, or Azure (nice to have)
Experience preparing data for retrieval-augmented generation (RAG) applications (nice to have)