Senior Data Engineer

data solutions.

• Utilize Azure DevOps for continuous integration, continuous delivery, and agile project management.
• Manage and optimize Apache Spark pools for high-performance data processing tasks.
• Develop and maintain ETL processes and data pipelines using Python scripting.
• Ensure data quality and integrity across all platforms and systems.
• Collaborate with cross-functional teams to translate business needs into technical specifications.
• Stay current with industry trends and advancements in Azure data services.

What you'll need:

• Bachelor's degree in Computer Science, Engineering, or related field
• Minimum of 5+ years experience in data engineering roles, with a strong focus on building and maintaining data pipelines and infrastructure
• Strong proficiency in Azure Synapse Analytics, Azure DevOps, and Apache Spark pools.
• Expertise in Python scripting and other programming languages such as SQL and Java
• Senior level knowledge of data modeling, processes, and data warehouse concepts
• Strong communication skills and ability to effectively communicate technical concepts to non-technical stakeholders
• Experience with data modeling, warehousing, and building ETL pipelines
• Familiarity with Azure Data Factory, Azure Data Lake Storage, and other Azure data services

Compensation:

Compensation: $125,000 - 165,000

Discretionary Annual Bonus Eligibility: Up to 10%

*Final compensation will be determined based on qualifications, experience, and internal equity and as such we will be targeting the middle of the range for this role.