Position Details

Salary $10 – $25 USD / year

Type Contract

Experience senior

Exp. Years 5+ years

Education Not specified

Category Data & Analytics

About this role

Senior Data Engineer (remote) to design and implement data pipelines and warehousing solutions, leveraging Python/SQL, multiple cloud platforms, and LLMs to enable self‑service analytics.

Key Responsibilities

ETLs, analytics, data engineering and data architecture
Python
SQL
Disparate data sets (sales/marketing/regulatory/geospatial)
Data warehousing concepts and warehousing solutions

Technical Overview

Focus on ETL, data engineering, and data architecture across cloud platforms (AWS, Azure, GCP); tools include Snowflake/Redshift/BigQuery, Airflow, and data visualization coupling.

Ideal Candidate

The ideal candidate is a senior data engineer with 5+ years of experience in Python/SQL, ETL, and building data pipelines across cloud platforms. They should handle disparate data sets (sales/marketing/regulatory/geospatial), enable self‑service visualization, and integrate LLMs into data workflows.

Must-Have Skills

ETLsanalyticsdata engineering and data architecturePythonSQLnative level of EnglishExperience leveraging disparate data sets (sales/marketing/regulatory/geospatial)Transforming data for self‑service data visualizationExperience incorporating LLM calls into workflows and data pipelinesCloud platforms (AWSAzureGCP) and their data services

Tools & Platforms

Amazon Web ServicesGoogle Cloud PlatformMicrosoft AzureSnowflakeRedshiftBigQueryApache AirflowAWS GlueAzure Data Factory

Required Skills

ETLsanalyticsdata engineering and data architecturePythonSQLMySQLPostgreSQLMongoDBSnowflakeRedshiftBigQueryApache AirflowAWS GlueAzure Data FactoryAWSAzureGCP

Hard Skills

PythonSQLETLdata engineeringdata architectureMySQLPostgreSQLMongoDBSnowflakeRedshiftBigQueryApache AirflowAWS GlueAzure Data FactoryAmazon Web ServicesMicrosoft AzureGoogle Cloud Platform

Soft Skills

native level Englishcommunicationbridging technical and stakeholder teamsanalytical thinking

Industry & Role

Industry SaaS

Job Function Build and maintain scalable data pipelines and data warehouse solutions across cloud platforms.

Role Subtype Data Engineer

Tech Domains Python, SQL / PostgreSQL, Amazon Web Services, Microsoft Azure, Google Cloud Platform, Apache Airflow, Snowflake, BigQuery

Keywords for Your Resume

senior data engineerdata engineeretlpythonsqldata architecturedata warehousingdata pipelinesllmlarge language modelsnative level of Englishenglishawsamazon web servicesazuregoogle cloud platformsnowflakeredshiftbigqueryapache airflowaws glueazure data factorymongodbmysqlpostgresqlcloud platformsremotedata engineeringmicrosoft azure

Deal Breakers

Lack of Python or SQL experience, No experience with ETL or data pipelines, No cloud platform experience (AWS/Azure/GCP), Non‑native English or poor communication

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