Data Engineer

The Skinny :

• This is a Full-Time Direct Hire role with Snow Fox Data.
• This role can sit remote but the candidate must be located within Wisconsin.
• Must have Cloud Data Engineering experience and Azure Data Factory Professional Experience.
• No C2C options for this role at this time.
• The salary range is flexible (open to negotiation), but the ideal range is $120,000 - $150,000 a year + FTE Benefits, potential bonus (discretionary), and remote.

Salary is dependent upon skills, experience, etc.

Must be willing to work within a CST timeframe.

About Snow Fox Data :

Snow Fox Data is a premier data strategy, data science and analytics solutions provider. Headquartered in snowy Wisconsin and serving customers worldwide, we provide a vast landscape of knowledge that supports your success through data-driven decision-making.

A passionate team of data architects, data scientists, data engineers, and data analysts, Snow Fox Data empowers you to make a difference with data.

Whether your organization needs a better data strategy, improved KPIs, ad-hoc analytics, or a machine learning solution, we meet you where you are in your data journey and get you to where you need to go.

Position Overview :

We are seeking a talented Data Engineer with experience in Azure Data Factory to join our team! The ideal candidate will have hands-on experience in cloud data engineering initiatives, particularly within the Azure ecosystem.

As a Data Engineer at Snow Fox Data, you will play a crucial role in designing, implementing, and optimizing data pipelines to support our client’s data-driven initiatives and drive actionable insights for their business.

Key Responsibilities :

• Design, develop, and deploy scalable and efficient data pipelines.
• Collaborate with cross-functional teams to gather requirements, understand data needs, and architect well-designed solutions.
• Implement data integration solutions to ingest, process, and transform large volumes of structured and unstructured data from diverse sources.
• Optimize data pipelines for performance, reliability, and scalability to meet business requirements.
• Ensure data quality and integrity throughout the data pipeline lifecycle.
• Troubleshoot and debug issues with data pipelines, identifying and implementing solutions in a timely manner.
• Stay updated with the latest trends and best practices in cloud data engineering and incorporate them into our processes and solutions.

Requirements :

• Bachelor's degree in computer science, engineering, or related field.
• 5+ years of hands-on experience in data engineering, with a focus on cloud-based solutions.
• Proficiency in Azure Data Factory and other relevant Azure services (e.g., Azure SQL Database, Azure Blob Storage, Azure Data Lake, Azure Databricks).
• Strong understanding of data modeling, ETL / ELT processes, and data warehousing concepts.
• Familiarity with version control systems (e.g., Git) and CI / CD pipelines.
• Excellent problem-solving skills and ability to troubleshoot complex data engineering issues.
• Strong SQL skills.
• Effective communication and collaboration skills, with the ability to work well in a team environment.

Preferred Qualifications :

• Azure Data Engineer Associate or related certifications.
• Experience with other cloud platforms (e.g., AWS, Google Cloud Platform).
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with data visualization tools (e.g., Power BI, Tableau).
• Snowflake experience is a major plus.
17 days ago