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MediSpend

Senior Data Engineer

Reposted 3 Days Ago
Remote
Hiring Remotely in USA
135K-145K
Senior level
Remote
Hiring Remotely in USA
135K-145K
Senior level
The Senior Data Engineer will design and implement data integration and transformation processes, work with clients to gather requirements, and mentor team members to optimize data solutions.
The summary above was generated by AI

At MediSpend, we are on a mission to transform and simplify how the life science industry complies with global healthcare industry regulations and manages risk. MediSpend Global Compliance Solutions are recognized market leaders supporting many life science company operations. We seek a proven Senior Data Engineer, who will work directly with our customers and internal teams to drive the design, operation, and evolution of our data integration and management platforms.

Do your passions include:

  • Data, data and data – profile, describe, analyze, cleanse, transform, query, store, migrate
  • Working directly with clients to design and implement business process data exchanges and transformations
  • Designing and implementing data transformation processes to support analytic workloads
  • Evaluating and working with modern data integration platforms and tools
  • Collaborating with onshore/offshore development teams to build, deploy, and operate data integrations
  • Operational curiosity to monitor and optimize data transformation processes and flows
  • Embracing company cultures whose defining characteristics are customer centric, accountable, self-motivated, team first, open and adaptable, innovative, and strategic

A day in the life:

You are the Senior Data Engineer at MediSpend. You attend a technical working meeting with a client to gather requirements and design the integration of a new data source into MediSpend systems.  You design and build a new data transformation to support the addition of a new data source for the analytics platform.  You work closely with Client Operations to estimate levels of effort to support a prospective client implementation. You evaluate a new open source data management tool or cloud service for possible adoption. You assist one of the data engineers to determine root cause for a failed integration the previous night.  You conduct peer review for other data engineers code check-ins.  You design and build a data migration framework to move data from one portfolio product to another.  You monitor infrastructure capacity of the data transformation platform and make a recommendation to increase the configuration specification.  You compile and analyze last month’s data transformation success/failure rates and recommend a technical improvement.

What you bring to the table:

You’re a professional with a great blend of practical experience, education, and achievement. Skilled collaborator and data management/transformation architect/designer/developer who can effectively partner with clients to define and deliver robust solutions. Excellent, hands-on knowledge of data integration platforms across commercial, cloud service, and/or open source distributions.  Many success stories of data integrations with typical enterprise systems including ERP, CRM, Expense Management, MDM, data warehouses, etc., using both batch and API methods. Substantial programming experience with Python based data orchestration and transformation frameworks (i.e. Airflow, AWS Glue, Prefect, Dagster, Spark, Polars, Databricks, etc.).  Strong working knowledge of traditional RDBMS data warehousing as well as other platforms like Snowflake, RedShift.  Experienced using standard project management tools (Jira) and processes to organize and advance task flows.  Experience mentoring other data engineers to adopt design and implementation best practices.  Substantial experience curating data for use in SaaS distributed applications, not internal data science use cases.  Passion for data driven approach to monitor and optimize operational processes and data flows is part of your DNA.

Your path to drive the evolution of our data management/integration ecosystem:

Remote position flexibility, growth story, early-stage company feel, life science domain, and data!

What we provide:

  • Merit-based compensation – Competitive base salary plus bonus
  • Work from anywhere – Roles are open to candidates located anywhere in the U.S (United States)
  • Unlimited PTO (Paid Time Off), including Paid Holidays and Sick Leave
  • 401k+ Match
  • Comprehensive health, dental, and vision insurance.
  • Paid Parental Leave
  • Health and wellness perks including life & disability insurance, healthcare funding options like FSAs (Flexible Spending Accounts) and HSAs (Health Savings Account), Dependent Care, an EAP (Employee Assistance Program) program, discounts, Learning and Development, internet and cellphone stipends

Notice for all applicants: we are seeking a permanent full time employee, this is not a contractor position.

Notice for Colorado applicants as required by sb19-085 (8-5-20).: Annual salary of $135,000-$145,000+Benefits+bonus

MediSpend is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

To all recruitment agencies: We do not accept unsolicited agency resumes and are not responsible for any fees related to unsolicited resumes.

Top Skills

Airflow
Aws Glue
Dagster
Databricks
JIRA
Polars
Prefect
Python
Rdbms
Redshift
Snowflake
Spark

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