MedeAnalytics is a leader in healthcare analytics, providing innovative solutions that enable measurable impact for healthcare payers and providers. With the most advanced data orchestration in healthcare, payers and providers count on us to deliver actionable insights that improve financial, operational, and clinical outcomes. To date, we’ve helped uncover millions of dollars in savings annually.

We are currently seeking a passionate and talented Sr. Data Engineer to join our dynamic team and contribute to our mission. As part of MedeAnalytics, you'll play a pivotal role in maintaining and expanding our robust data infrastructure across diverse cloud environments, driving transformative change in healthcare delivery.

Essential Duties and Responsibilities

Data pipelines:
- Design, develop, and implement secure and scalable data pipelines utilizing tools such as Airbyte, Fivetran, Python, and custom scripts.
- Leverage tools like Great Expectations for data quality testing and validation.
- Design and implement data transformations using dbt models, ensuring data integrity and consistency.
- Build and orchestrate data workflows using AWS Step Functions, Airflow, or similar tools.
- Integrate data across multiple cloud platforms and on-premises systems using a multi-cloud data fabric approach.
- Monitor and maintain existing data pipelines for performance and reliability.
Data management:
- Work with AWS Redshift and/or Snowflake to store and manage large datasets effectively.
- Utilize Iceberg datalake for efficient data organization and governance.
- Leverage AWS Glue for data ETL and data lake management tasks.
- Implement data lineage solutions to track and understand data origin and flow.
- Establish and maintain a robust data catalog and metadata management system.
Collaboration and contribution:
- Collaborate with cross-functional teams, including data analysts, data scientists, and product managers, to understand data needs and translate them into technical solutions.
- Document code, processes, and data models for clarity and knowledge sharing.
- Stay up-to-date on the latest trends and technologies in the data engineering landscape.

This job description reflects management’s assignment of essential functions. Flexibility is a necessary understanding with the natural growth of MedeAnalytics, and deviation/delegation of tasks will be presented as necessary.

Essential Skills, Experience and Education

5+ years of experience as a data engineer or similar role required.
Proven experience with data pipeline development tools like Airbyte, Fivetran, and Python.
Expertise in data transformation with dbt or similar tools.
Experience with data quality testing frameworks like Great Expectations.
Familiarity with multi-cloud data fabric concepts and tools.
Familiarity with cloud platforms like AWS, particularly S3, Redshift, Step Functions, Glue, and Snowflake.
Strong Python programming skills.
Strong experience with data table formats such as Iceberg, Deltalake, Hudi etc. and building datalake house.
Experience with DuckDB or similar analytical databases.
Experience with DevOps practices and tools (a plus).
Experience with containerization technologies like Docker (a plus).
Experience with data governance and security best practices (a plus).
Excellent communication and collaboration skills.
Problem-solving and analytical thinking skills.
A passion for data and its potential to impact the healthcare industry.

Benefits Include:

Great Medical, Dental, Vision benefits - Effective on the first of the month after your start
Company paid Basic Life & AD&D Insurance, STD/LTD
ROBUST Employee Assistance Program (EAP)
401k with Company Match
9 paid holidays AND 3 floating holidays = 12 total!
Paid Time Off (PTO) Accrual
Employee Referral Bonus
Professional Development
and more!

MedeAnalytics believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is $130,000 - $150,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, relevant experience, professional achievements/qualifications, business need and location.

Mede/Analytics is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, age or protected veteran status. Applicants must be authorized to work for ANY employer in the US. We are unable to sponsor or take over sponsorship of employment Visa at this time.

At MedeAnalytics we deeply value each and every one of our committed, inspired and passionate employees. If you're looking to make an impact doing work that matters, you're in the right place. Help us shape the future of healthcare by joining #TeamMede.

MedeAnalytics does not utilize any outside vendors/agencies. Please no unsolicited phone calls or invites.

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Senior Data Engineer

Essential Duties and Responsibilities

Essential Skills, Experience and Education

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