Position Details

Salary $126K – $182K USD / year

Type Not Specified

Experience mid

Exp. Years 2+ years

Education Bachelor's degree in Computer Science, Data Engineering, Data Science, Mathematics, Finance, or related field

Category Data & Analytics

About this role

This role involves designing and maintaining scalable data pipelines, supporting data warehouses, and enabling analytics and reporting across enterprise platforms.

Key Responsibilities

Build ETL pipelines
Support data warehouse design
Collaborate with stakeholders
Enable reporting and analytics
Support AI data needs

Technical Overview

The position requires expertise in data engineering, ETL development, Snowflake, SQL, Python, and data architecture to support analytics, reporting, and AI initiatives.

Ideal Candidate

The ideal candidate is a data engineer with at least 2 years of experience in building ETL pipelines, supporting data warehouses, and designing data architectures using Snowflake and SQL. They are proficient in Python and collaborative in cross-functional teams.

Must-Have Skills

ETL pipelinesData warehouseSQLPythonData architecture

Nice-to-Have Skills

AI conceptsvector databasesembeddingsretrieval-augmented generationAPI data ingestion

Tools & Platforms

SnowflakeTableauPower BIAPIsJSONCSV

Required Skills

ETL pipelinesSnowflakeSQLPythondata warehousedata architectureBI toolsAPIsJSONCSV

Hard Skills

Data EngineeringETL pipelinesSnowflakeSQLPythonData warehouseData architectureBusiness IntelligenceAPIsJSONCSV

Soft Skills

CollaborationCommunicationProblem-solvingTeamworkDocumentation

Industry & Role

Industry Technology / SaaS

Job Function Design and implement scalable data solutions for analytics and reporting

Role Subtype Data Engineer

Tech Domains Python, SQL / PostgreSQL, Snowflake, Data Warehouse, APIs

Keywords for Your Resume

Data EngineerETL pipelinesSnowflakeSQLPythonData warehouseData architectureBusiness IntelligenceAPIsJSONCSVData ingestionData analysisData reportingData platformsData solutionsdata warehousedata architectureBI tools

Deal Breakers

Lack of experience with ETL pipelines, No knowledge of data warehouses or Snowflake, Inexperience with SQL or Python, No background in data architecture

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