Data Engineer

We are looking for a fully remote Data Engineer to support and enhance a modern data environment serving critical business reporting and analytics needs. This role will focus on maintaining reliable warehouse operations while expanding scalable data pipelines and improving how information is integrated across systems. This position is well suited for someone who enjoys hands-on engineering work, thoughtful data design, and close collaboration with technical stakeholders.

Responsibilities:

• Oversee the daily performance, stability, and upkeep of the data warehouse to ensure dependable access to trusted data.

• Design, build, and refine data pipelines that move and transform information efficiently across multiple platforms.

• Develop engineering solutions using Python, Spark, and Databricks to support large-scale data processing and analytics workloads.

• Create and maintain SQL-based data structures and workflows that improve data quality, usability, and consistency.

• Apply sound data modeling practices to organize datasets for reporting, analysis, and downstream application use.

• Partner with cross-functional teams to understand integration needs and deliver scalable data solutions aligned with business priorities.

• Support cloud-based data movement and orchestration processes, including work involving Azure Data Factory where needed.

• Contribute to reporting and visualization readiness by preparing well-structured datasets for tools such as Power BI, Tableau, or Looker.

Qualifications:

• Extensive experience in data engineering with strong hands-on use of Python in production environments.
• Solid background in SQL and data warehouse support, including writing and optimizing complex queries.
• Practical experience with Apache Spark and Azure Databricks for distributed data processing.
• Understanding of data modeling concepts and the ability to structure datasets for analytical use.
• Familiarity with cloud-based data integration tools, including exposure to Azure Data Factory.
• Working knowledge of visualization platforms such as Power BI, Tableau, or Looker.
• Experience with Microsoft SQL technologies and comfort operating within Azure-based data ecosystems.
• Exposure to C# is beneficial but not required.

Compensation

$120,000.00-$130,000.00 Yearly

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