Department:Data Engineer
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior level
Estimated Salary:$120,000 - $160,000
Skills:
GOOGLE CLOUD PLATFORMBIGQUERYDATABRICKSPYSPARKSQLPOWER BIETLELTDATA MODELINGDATA VISUALIZATION
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Job Description

Posted on: September 4, 2025

Data EngineerRemoteW2 ContractJob Summary:

We are seeking a skilled and motivated Data Engineer / BI Developer to join our data team. The ideal candidate will have strong experience working with Google Cloud Platform (GCP) tools such as BigQuery and Databricks, with excellent proficiency in building and delivering interactive dashboards using Power BI. You will be responsible for developing scalable data pipelines, transforming raw data into actionable insights, and supporting business intelligence initiatives.

Key Responsibilities:

Design, build, and optimize ETL/ELT pipelines on GCP Databricks using PySpark/SQL.

Develop and maintain data models in BigQuery, ensuring high performance and reliability.

Integrate data from multiple sources and ensure data consistency, quality, and accuracy.

Create intuitive and interactive Power BI dashboards and reports for stakeholders.

Collaborate with data scientists, analysts, and business stakeholders to gather requirements and deliver solutions.

Monitor, troubleshoot, and optimize data workflows and reports for performance and scalability.

Implement data governance, security, and best practices in cloud data environments.

Required Skills and Qualifications:10+ years of experience in data engineering, business intelligence, or related roles.

Proven hands-on experience with:

Google BigQuery – data modeling, query optimization, partitioning, clustering.

GCP Databricks – building scalable data pipelines using PySpark, notebooks.

Power BI – DAX, Power Query (M), dashboard design, and data visualization best practices.

Strong SQL skills and experience with cloud data warehouses.

Familiarity with data lakes, Delta Lake, and data lakehouse concepts.

Ability to work independently and in a team in a fast-paced agile environment.

Originally posted on LinkedIn

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