Senior Data Engineer

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Jobgether is seeking a Senior Data Engineer to modernize and scale enterprise data infrastructure by transforming legacy on-premise systems into a cloud-native analytics platform. The role requires strong engineering ownership and a passion for cloud modernization. The successful candidate will lead the migration of SSIS-based ETL pipelines to cloud-native workflows using DBT and GCP tools.

Key Highlights

Lead migration of SSIS-based ETL pipelines to cloud-native workflows

Design, build, and optimize scalable data models in BigQuery

Collaborate with BI teams to align data marts with Tableau reporting and analytics requirements

Key Responsibilities

Lead the migration of SSIS-based ETL pipelines to cloud-native workflows using DBT and GCP tools

Design, build, and optimize scalable data models in BigQuery following dimensional modeling best practices

Maintain and enhance SQL-based transformations to ensure performance, accuracy, and reliability in cloud environments

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Technical Skills Required

SQL ETL development SSIS SQL Server Google BigQuery DBT GCP tools (Dataflow, Dataform, Cloud Composer) Tableau

Benefits & Perks

Competitive salary aligned with experience and expertise

Fully remote work across the United States

Opportunity to lead cloud modernization and data platform transformation initiatives

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Nice to Have

Familiarity with Git-based CI/CD practices for data pipelines

Exposure to infrastructure-as-code tools like Terraform

Job Description

This role is focused on modernizing and scaling enterprise data infrastructure by transforming legacy on-premise systems into a cloud-native analytics platform. You will play a key part in migrating traditional SQL Server and SSIS-based pipelines into Google Cloud Platform, enabling more scalable, efficient, and reliable data workflows. The position is highly hands-on and centers on building robust ETL/ELT pipelines, optimizing data models, and ensuring high-quality data delivery for business intelligence use cases. You will work closely with analytics and BI teams to support Tableau-driven reporting and decision-making across the organization. The environment is collaborative and transformation-driven, requiring strong engineering ownership and a passion for cloud modernization. This is a high-impact role where your work directly shapes the future of enterprise data architecture and analytics performance.

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