Data Engineer: Build Scalable Pipelines for Insights

Amplemarket; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive Salary

Health Insurance

Stock Options

Annual Company Trip

Job summary

Amplemarket is seeking a Data Engineer to design and maintain data pipelines, data models, and ETL processes for our data warehouse. You will collaborate with ML engineers and data analysts to enable data-driven decisions and optimize pipeline performance.

Requirements include 3+ years of experience, degree in CS/DS, strong Python or Java, SQL, cloud data warehousing (Redshift, BigQuery), and experience with Spark/Flink/Databricks/Snowflake. GMT-3 to GMT+2 availability.

Qualifications

• 3+ years of experience as a Data Engineer with strong Python or Java
• Experience with SQL and data modeling
• Experience with cloud data warehousing (Redshift, BigQuery, etc.) and ETL tools

Responsibilities

• Design and implement data pipelines for collection, storage, and transformation
• Develop and maintain data models and schemas to support analysis and reporting
• Write and maintain ETL jobs to extract, transform, and load data into the data warehouse
• Collaborate with ML engineers and data analysts to support data-driven decision-making
• Monitor and optimize data pipelines to ensure quality and performance

Skills

Python

Java

SQL

Data Modeling

Education

Bachelor's or Master's in CS/DS

Tools

Spark

Flink

Databricks

Snowflake

RabbitMQ

Kafka

Job description

Amplemarket is seeking a Data Engineer to design and maintain data pipelines, data models, and ETL processes for our data warehouse. You will collaborate with ML engineers and data analysts to enable data-driven decisions and optimize pipeline performance.

Requirements include 3+ years of experience, degree in CS/DS, strong Python or Java, SQL, cloud data warehousing (Redshift, BigQuery), and experience with Spark/Flink/Databricks/Snowflake. GMT-3 to GMT+2 availability.