Data Engineer

Data Essentia; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Remote within US/Canada

Job summary

Data Essentia is seeking a data engineer to design and build scalable data pipelines and lakehouse architectures for large business customers. The role focuses on data transformation and platform work using modern data engineering tools.

You will work with distributed processing, apply SQL on a modern data platform, and support complex data workflows across customer use cases. This remote role is nationwide across the United States and Canada.

Qualifications

• At least three years of data engineering experience.
• Proficiency in Spark, dbt, and SQL.
• Experience with at least one of Snowflake, Databricks, or BigQuery.

Responsibilities

• Design and build scalable data pipelines.
• Develop lakehouse architectures for customer use cases.
• Work with distributed processing and data transformation tools.
• Use SQL and a modern data platform to support data workflows.

Skills

Spark

dbt

SQL

Tools

Snowflake

Databricks

BigQuery

Job description

Role overview

Design and build data infrastructure for large business customers, with an emphasis on scalable pipelines and lakehouse architectures. The role combines data transformation and platform work using modern data engineering tools.

Responsibilities

• Design and build scalable data pipelines.


• Develop lakehouse architectures for customer use cases.


• Work with distributed processing and data transformation tools.


• Use SQL and a modern data platform to support data workflows.

Requirements

• At least three years of data engineering experience.


• Proficiency in Spark, dbt, and SQL.


• Experience with at least one of Snowflake, Databricks, or BigQuery.

Nice to have

• Streaming data experience with tools such as Kafka or Flink.

Benefits and work setup

• Full-time role, remote within the United States or Canada.