Title: Data Engineer - Hybrid (Nashville, TN)
Why is this position open? Growth
Pay/Salary/Benefits/Perks: Up to $110K + PTO, competitive benefits
Work from Home Policy: Hybrid - 1 day onsite per week
Interview Process: 2 Interviews, streamlined process
Key Skills: 2 years+, ETL, SSIS, data modeling

Responsibilities:

• Responsible for the conception, design, development, and deployment of data architecture and data models
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data and report delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data
• Build analytics tools that utilize the data pipeline to provide actionable insights
• Work with stakeholders including Executive, Product, and Finance teams to assist with data-related needs.
• Create data tools for analytics team members that assist them in building and optimizing our product
• Investigate data to identify potential issues within ETL pipelines, notify end-users and propose adequate solutions

Qualifications:

• Bachelor's degree in Computer Science, Management Information Systems, Finance, Healthcare Administration or another related field.
• 2+ years of experience in a Data Engineer role
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Broad understanding of Data Modeling, OLAP, SQL and ETL
• Practical experience with one or more ETL tools, such as SSIS
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• Knowledgeable of Source Control and Project Management tools like TFS, Git, and JIRA
• Familiarity with DevOps best practices and automation of documentation, testing, build, deployment, configuration, and monitoring
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong project management and organizational skills.

Bonus Qualifications:

• Database administration experience