Remote Data Analyst Engineer

Description:

• Casechek is on a mission to innovate the implant supply chain and enhance transparency in patient care costs.
• The Data Analytics Engineer will be responsible for building and optimizing data pipelines, developing robust data models, and enhancing analytics capabilities.
• Collaboration with cross-functional teams is essential to ensure data accessibility, governance, and quality using modern cloud and database technologies.
• The role is suited for a data-driven professional passionate about solving complex problems in a healthcare tech environment.
• Casechek promotes a highly collaborative yet self-motivated work culture, emphasizing interaction with healthcare customers to understand their needs.

Requirements:

• A Bachelor’s or master’s degree in a related field is required.
• Candidates must have 4+ years of experience in data/software engineering.
• A minimum of 3 years of experience with multiple database systems such as Azure Synapse, BigQuery, Oracle, SQL Server, MySQL, Snowflake, Postgres, Redshift, or Databricks is necessary.
• At least 2 years of experience in designing and building complex ETL/ELT processes, data modeling, and schema design is required.
• Advanced SQL expertise and a strong advocacy for data quality are essential.
• Experience with data warehousing concepts and object-oriented programming languages (Java, Python, Ruby, etc.) is needed.
• Strong proficiency in Python or Scala and a passion for writing clean, supportable code are required.
• High proficiency in building BI solutions using at least one data visualization tool (Tableau, Power BI, Looker, etc.) is necessary.
• Experience with one of the major cloud technology providers (AWS, Azure, GCP, etc.) is required.
• Familiarity with code collaboration and repository management tools (Bitbucket, GitHub, GitLab, etc.) is necessary.
• Experience with data transfer technologies (APIs, Pub/Sub, etc.) is required.
• Deep experience implementing various data warehousing concepts and methodologies, including snapshotting, incremental data loads, SCDs, and star schemas is necessary.
• Experience with Databricks is preferred, and familiarity with healthcare data is a plus.
• Candidates should possess analytical aptitude to think through business problems and metric development.

Benefits:

• Competitive salary and annual bonus are offered.
• There is an opportunity for Long-Term Incentives (LTI).
• A 401k match is provided.
• Work-from-home flexibility is available.
• Full medical and dental benefits are included.
• Employees will receive a brand new pro-level laptop.
• An annual education budget is allocated for professional development.