Remote Senior Data Engineer

Description:

• MediSpend is seeking a Senior Data Engineer to transform and simplify compliance with global healthcare regulations in the life science industry.
• The role involves working directly with customers and internal teams to design, operate, and evolve data integration and management platforms.
• Responsibilities include profiling, describing, analyzing, cleansing, transforming, querying, storing, and migrating data.
• The Senior Data Engineer will design and implement business process data exchanges and transformations, as well as data transformation processes to support analytic workloads.
• The position requires evaluating and working with modern data integration platforms and tools.
• Collaboration with onshore/offshore development teams to build, deploy, and operate data integrations is essential.
• The role demands operational curiosity to monitor and optimize data transformation processes and flows.
• The company values a customer-centric, accountable, self-motivated, team-first, open and adaptable, innovative, and strategic culture.

Requirements:

• Candidates must have a blend of practical experience, education, and achievement in data management and transformation.
• The ideal candidate should possess excellent hands-on knowledge of data integration platforms across commercial, cloud service, and open source distributions.
• Experience with data integrations involving enterprise systems such as ERP, CRM, Expense Management, MDM, and data warehouses using both batch and API methods is required.
• Substantial programming experience with Python-based data orchestration and transformation frameworks (e.g., Airflow, AWS Glue, Prefect, Dagster, Spark, Polars, Databricks) is necessary.
• Strong working knowledge of traditional RDBMS data warehousing and platforms like Snowflake and RedShift is essential.
• Familiarity with project management tools (e.g., Jira) and processes to organize and advance task flows is expected.
• Experience mentoring other data engineers in design and implementation best practices is preferred.
• Candidates should have substantial experience curating data for use in SaaS distributed applications.
• A passion for a data-driven approach to monitor and optimize operational processes and data flows is crucial.

Benefits:

• The position offers merit-based compensation, including a competitive base salary and bonus.
• Employees can work from anywhere in the U.S., as the roles are open to candidates located nationwide.
• The company provides unlimited PTO, including paid holidays and sick leave.
• A 401k plan with a match is available.
• Comprehensive health, dental, and vision insurance is provided.
• Paid parental leave is included in the benefits package.
• Health and wellness perks include life and disability insurance, healthcare funding options like FSAs and HSAs, dependent care, an Employee Assistance Program, discounts, learning and development opportunities, and stipends for internet and cellphone use.