Data Engineer

AARATECH; San Francisco (CA); Remote; USD 100,000 - 135,000; Full time

Job summary

Aaratech Inc is seeking a skilled Data Engineer to join their data team. This role involves designing and building ETL/ELT data pipelines, optimizing data models, and collaborating with various stakeholders. Ideal candidates will have strong SQL and Python skills, with experience in cloud platforms and data governance.

Qualifications

• 3-4 years of hands-on experience in data engineering.
• Strong skills in SQL and Python.
• Experience with cloud platforms (AWS, GCP, or Azure).

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Develop and optimize data models for analytics and reporting.
• Collaborate with analysts and stakeholders to understand data needs.

Skills

SQL

Python

Data Modeling

ETL best practices

Cloud Platforms

Data Quality

Analytics

Education

Bachelor’s degree in Computer Science

Tools

Airflow

dbt

Spark

Kafka

Snowflake

Redshift

BigQuery

Job description

Job Title: Data Engineer (3–4 Years Experience)

Location: United States (Remote / Hybrid / On-site — open to discussion)

Employment Type: Full-time

Company: Aaratech Inc

About Aaratech Inc

Aaratech Inc is a technology-driven consulting firm focused on delivering innovative and scalable solutions to clients across industries. We specialize in leveraging data to solve real business problems and empower smarter decision-making. Our team values collaboration, continuous learning, and engineering excellence.

Position Overview

We are looking for a talented Data Engineer with 3–4 years of experience to join our growing data team. This role is ideal for someone who thrives on building robust data pipelines, working with modern cloud tools, and enabling analytics at scale.

What You'll Do

• Design, build, and maintain scalable ETL/ELT data pipelines
• Develop and optimize data models for analytics and reporting
• Collaborate with analysts, engineers, and stakeholders to understand data needs
• Manage data quality, reliability, and governance
• Work with cloud data platforms (AWS, GCP, or Azure) to deliver efficient solutions
• Monitor performance and troubleshoot data workflows

What We're Looking For

• 3–4 years of hands-on experience in data engineering
• Strong skills in SQL and Python
• Experience with cloud platforms (AWS, GCP, or Azure)
• Familiarity with tools like Airflow, dbt, Spark, or Kafka
• Experience with data warehouses (Snowflake, Redshift, BigQuery, etc.)
• Solid understanding of data modeling, ETL best practices, and performance tuning
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)

Nice to Have

• Knowledge of CI/CD pipelines and Git workflows
• Familiarity with data governance and compliance standards
• Experience working in agile or fast-paced environments