Senior Azure Data Engineer

As a Senior Azure Data Engineer at Health-E Commerce, you will be responsible for designing and maintaining robust data pipelines, collaborating with analysts, ensuring data security and quality, and evaluating new technologies to strengthen our data infrastructure. You'll also work extensively with Azure Synapse Analytics and engage with cross-functional teams to meet data requirements.

To qualify for the Senior Azure Data Engineer role at Health-E Commerce, you should have a Bachelor's degree in Computer Science or a related field, along with at least 5 years of experience in data engineering. Proficiency in Azure services, Python scripting, and a solid understanding of data modeling concepts is essential.

Yes! The Senior Azure Data Engineer role at Health-E Commerce is fully remote. You can work from anywhere in the United States, as long as you can align with Eastern Standard Time business hours.

In your role as a Senior Azure Data Engineer at Health-E Commerce, you will primarily work with Azure Synapse Analytics, Apache Spark pools, Azure Data Factory, and Azure Data Lake Storage. Strong skills in Python and SQL are also crucial for managing ETL processes and developing data pipelines.

Health-E Commerce values professional growth and offers several opportunities for development, including certification support, access to leadership coaching, and resources aimed at enhancing technical skills. These initiatives ensure that as a Senior Azure Data Engineer, you can continuously improve and stay updated with industry trends.

The salary range for a Senior Azure Data Engineer at Health-E Commerce is between $125,000 and $165,000, depending on your experience and skills. Additionally, you'll be eligible for an annual discretionary bonus of up to 10%, along with a comprehensive benefits package.

Health-E Commerce provides a competitive benefits package that includes medical, dental, and vision coverage, a 401K plan with company match, flexible PTO, and paid parental leave. Other perks include monthly wellness reimbursements, mental health resources, and an inclusive work culture.

When answering this question, focus on specific projects where you utilized Azure Synapse Analytics. Discuss your role in designing data models and how you ensured data integration and analysis efficiency, showcasing your expertise and results achieved.

In your response, emphasize the importance of data governance and the processes you implement to validate and clean data. Share specific tools or methods you’ve utilized to maintain data accuracy, and highlight examples of past successes.

Highlight the technical challenges faced in constructing the pipeline, whether it was due to data volume, integration complexities, or processing speed requirements. Describe the steps you took to address these issues and the outcomes achieved.

Detail your approach to performance tuning and optimization techniques, such as adjusting resource allocation, leveraging caching, and optimizing data storage formats. Provide an example of how these strategies improved a specific project.

Discuss your communication skills and methods you employ to bridge the gap between technical details and business requirements. Describe your process of gathering their input and translating it into actionable technical specifications.

Discuss the tools and programming languages you’ve used, like Python, in developing ETL processes. Emphasize how you monitor these processes for efficiency and accuracy and cite specific successes or improvements you've achieved.

Share your commitment to continuous learning in the tech field. Discuss specific technologies you've researched or implemented, and how they impact data processing or integration. Mention how you evaluate which technologies add value.

Talk about your familiarity with Agile methodologies and how you apply them in project management. Share your experience using Azure DevOps to manage tasks and ensure seamless collaboration with your team.

Outline your strategies for keeping informed, such as subscribing to industry publications, participating in professional groups, and pursuing relevant certifications. Share how this ongoing education has benefited your previous roles.

Provide a clear narrative, detailing the issue you faced, your analytical approach to identify the problem, the steps taken to resolve it, and the outcome. Highlight your critical-thinking and problem-solving abilities effectively.