Remote Data Engineer - Client Data Operations & Pipelines

Jobgether; Oregon; Hybride; USD 115 000 - 145 000; Plein temps

Avantages offerts par ce poste

Fully remote (US)

Ownership of production systems

Modern data tech stack

Career development opportunities

Résumé du poste

Jobgether is seeking a Data Engineer for Client Data Operations to build and optimize data pipelines supporting client marketing campaigns, audience management, and reporting. The role focuses on onboarding client data, transforming inconsistent sources into reliable feeds, and owning production workflows with a strong emphasis on automation and security.

The position is fully remote across the United States with a preference for candidates in the Dallas area or surrounding regions.

Qualifications

• 4+ years of hands-on data engineering building and operating production data pipelines.
• Strong SQL and Python skills with Spark proficiency.
• Cloud data environments, notably Databricks and AWS.
• Ability to investigate and transform unfamiliar data sources into reliable feeds.
• Experience with data orchestration, workflow automation, monitoring, schema mapping, and testing.
• Familiarity with Git, access management, and production support practices.
• Knowledge of data quality concepts like validation, deduplication, reconciliation, and matching.
• Experience handling PII/PHI with privacy and security requirements in regulated environments.
• Excellent analytical and problem-solving abilities with attention to root cause analysis.
• Ability to work independently and manage competing priorities in a fast-paced setting.
• Strong communication skills to explain complex issues to technical and non-technical stakeholders.

Responsabilités

• Onboard client data and manage incoming data feeds (SFTP, scheduled deliveries).
• Validate data, perform identity matching, and prepare production-ready datasets.
• Build and optimize scalable data pipelines using SQL, Python, and Spark.
• Configure automated workflows, monitoring, and alerts to reduce manual tasks.
• Monitor Databricks workflows and AWS jobs; troubleshoot failures and schema changes.
• Oversee campaign data production, audience suppression, reconciliation, and file prep for vendors.
• Maintain clear documentation of data sources, transformations, and recovery steps.
• Ensure data security and privacy compliance; escalate governance questions when needed.
• Collaborate with analytics, campaign, and tech teams for clean datasets for modeling and reporting.
• Identify opportunities to automate recurring tasks and improve pipeline reliability.

Connaissances

SQL

Python

Apache Spark

Databricks

AWS

Data validation

Outils

SFTP

S3

Parquet

Git

Description du poste

Jobgether is seeking a Data Engineer for Client Data Operations to build and optimize data pipelines supporting client marketing campaigns, audience management, and reporting. The role focuses on onboarding client data, transforming inconsistent sources into reliable feeds, and owning production workflows with a strong emphasis on automation and security.

The position is fully remote across the United States with a preference for candidates in the Dallas area or surrounding regions.