Data Engineer - Junior

TSP Talent is seeking a Junior Data Engineer to develop cloud-native data products and pipelines. The role supports enterprise analytics and AI capabilities through data platform development, pipeline operations, and scalable data transformations.

Responsibilities

Write, review, and contribute to code within a collaborative engineering team to build robust technical solutions

Design and deploy high-performance, cloud-based data components for enterprise use

Build and maintain reusable data platform features, ingestion frameworks, and data products (using tools like dbt, Azure Logic Apps, and Snowflake)

Support reliable data pipeline operations, including monitoring, testing, and recovery

Maintain synchronization between source systems and cloud platforms

Develop scalable data transformation pipelines to facilitate analytics and AI-driven insights

Implement data engineering best practices, such as CI/CD, testing, and code reviews

Contribute ideas to the team's data engineering roadmap as skills develop

Preferred

Exposure to data processing technologies like Apache Spark or streaming systems is advantageous

Interest or experience with GenAI, LLMs, vector search, or agentic workflows

Background in food service, hospitality, retail, or consumer industries

Apache Spark

Streaming Systems

Generative AI (GenAI)

Large Language Models (LLMs)

Vector Search

Agentic Workflows

Food Service Industry

Hospitality Industry

Retail Industry

Consumer Industry

Company

11-50 employees

Qualifications

Proficiency in Python and SQL

Experience with Azure and/or AWS cloud platforms

Knowledge of ELT processes, data modeling, and transformation frameworks like dbt

Familiarity with data warehousing platforms such as Snowflake or Databricks

Understanding of CI/CD pipelines and Infrastructure as Code tools like Terraform or GitHub Actions

Experience designing or supporting large-scale data pipelines, with a strong desire to grow expertise in data architecture, observability, and best practices

Effective communication skills for working with technical teams and business stakeholders

Educational background in Computer Science or related experience

Exposure to data processing technologies like Apache Spark or streaming systems is advantageous

Interest or experience with GenAI, LLMs, vector search, or agentic workflows

Background in food service, hospitality, retail, or consumer industries

Required skills

Python, SQL, Azure, AWS, ELT, Data Modeling, dbt, Snowflake, Databricks, Data Pipelines, CI/CD, Terraform

Preferred skills

Company data provided by, AI Tools, Customize Your Resume, Maximize your interview chances, Build Cover Letter, Make your application stand out, Analyze How Well You Fit, Understand your strength & weakness

Experience

Entry level