Remote Senior Azure Data Engineer

Description:

• We are seeking an experienced Senior Azure Data Engineer to join our growing IT team.
• This role will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure to support our organization’s data needs.
• The specific responsibilities include designing, developing, and maintaining robust data pipelines and infrastructure to support data integration, processing, and storage.
• You will collaborate with analysts and other stakeholders to understand data requirements and translate them into technical solutions.
• Implementing best practices for data governance, security, and quality assurance to ensure the reliability and accuracy of data is essential.
• You will explore and evaluate new technologies and tools to enhance our data infrastructure and capabilities.
• The role involves designing and implementing complex data models on Azure Synapse Analytics to support data warehousing and big data solutions.
• Utilizing Azure DevOps for continuous integration, continuous delivery, and agile project management is required.
• You will manage and optimize Apache Spark pools for high-performance data processing tasks.
• Developing and maintaining ETL processes and data pipelines using Python scripting is a key responsibility.
• Ensuring data quality and integrity across all platforms and systems is crucial.
• You will collaborate with cross-functional teams to translate business needs into technical specifications.
• Staying current with industry trends and advancements in Azure data services is expected.

Requirements:

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

Benefits:

• The compensation for this position ranges from $125,000 to $165,000.
• There is discretionary annual bonus eligibility of up to 10%.
• Benefits include medical, dental, vision, and a 401K with a company match.
• Additional benefits include Dependent Care, FSA & HSA accounts.
• Paid parental and bonding leave is provided.
• Flexible PTO and office closure on all major holidays are included.
• Monthly wellness and internet reimbursements are offered.
• Professional development opportunities, including certification support and leadership coaching, are available.
• Mental health resources are provided.
• This position is 100% remote within the United States.
• Candidates must be able to work EST hours.