Data Engineer

Appsierra Group; New York (NY); On-site; USD 127,000 - 181,000; Full time

Job summary

Appsierra Group is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms. The role emphasizes Python and SQL proficiency, with hands-on work in Spark, Databricks, Snowflake, and AWS.

The ideal candidate will have 2–7 years of experience and a strong foundation in ETL/ELT, data modeling, and data warehousing, enabling robust data architectures for analytics and decision support.

Qualifications

• 2–7 years of professional Data Engineering experience.
• Strong proficiency in Python and SQL.
• Hands-on experience with Spark and Databricks.
• Experience with Snowflake and AWS data services.
• Understanding of ETL/ELT, data modeling, and data warehousing.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.

Responsibilities

• Develop and maintain scalable data pipelines and ETL/ELT workflows.
• Process and transform large datasets using Spark and Databricks.
• Build and optimize data solutions using Snowflake and AWS.
• Design efficient data models and data warehouses.
• Ensure data quality, reliability, security, and performance.
• Collaborate with Data Scientists, Analysts, and Software Engineers.
• Monitor and optimize data pipelines and cloud infrastructure.

Skills

Python

SQL

Spark

Databricks

Big Data

Data Modeling

Cloud Platforms

ETL/ELT

Education

Bachelor's degree in Computer Science/Engineering/Data Science or related field

Tools

Spark

Databricks

Snowflake

AWS

ETL/ELT Pipelines

Data Warehousing

Big Data Processing

Cloud Data Engineering

Python

SQL

Job description

Job Title: Data Engineer
Experience: 2–7 Years
Job Type: Full-Time
Salary: $127K–$181K/year
Location: New York, NY Seattle, WA San Francisco, CA Austin, TX

Role Overview

We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data platforms. The ideal candidate will have strong experience with Python, SQL, big data technologies, and modern cloud data platforms.

Key Skills

• Python & SQL

• Apache Spark

• Databricks

• Snowflake

• AWS

• ETL/ELT Pipelines

• Data Warehousing & Data Modeling

• Big Data Processing

• Cloud Data Engineering

Responsibilities

• Develop and maintain scalable data pipelines and ETL/ELT workflows.

• Process and transform large datasets using Spark and Databricks.

• Build and optimize data solutions using Snowflake and AWS.

• Design efficient data models and data warehouses.

• Ensure data quality, reliability, security, and performance.

• Collaborate with Data Scientists, Analysts, and Software Engineers.

• Monitor and optimize data pipelines and cloud infrastructure.

Requirements

• 2–7 years of professional Data Engineering experience.

• Strong proficiency in Python and SQL.

• Hands-on experience with Spark and Databricks.

• Experience with Snowflake and AWS data services.

• Understanding of ETL/ELT, data modeling, and data warehousing.

• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.