Lead Matillion Data Engineer - Cynet Systems - Dallas, TX, US | Dice.com

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Lead Matillion Data Engineer

Dallas, TX, US • Posted 12 hours ago • Updated 12 hours ago

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Job Details

Skills

Artificial Intelligence
Cloud Computing
Collaboration
Data Engineering
Data Governance
Data Integrity
Data Modeling
Data Processing
Data Security

Summary

We are looking for Lead Matillion Data Engineer for our client in Dallas, TX

Job Title: Lead Matillion Data Engineer

Job Location: Dallas, TX

Job Type: Contract

Job Description:

The Lead Matillion Data Engineer will design, develop, and deliver ETL pipelines to process healthcare data, ensuring efficient, scalable, and high-performance solutions with data consistency and quality.
This role requires close collaboration with cross-functional teams and mentoring of junior engineers, while addressing issues related to ELT processes to maintain data integrity and alignment with business requirements.

Requirement/Must Have:

Strong leadership skills with the ability to mentor and collaborate with diverse teams and stakeholders.
Proven experience in designing, implementing, and optimizing data warehouse solutions.
Strong understanding of HIPAA compliance requirements for healthcare data security, privacy, and regulatory standards.

Experience:

Minimum 8+ years of experience in cloud-native data engineering.
3 5 years of experience with Snowflake, Azure, Matillion, and DBT ETL tools.
Experience in data modeling for Data Warehouse in Snowflake.
Hands-on experience in designing and developing ELT processes.
At least 3 5 years of experience working in the healthcare payor domain, focusing on data governance, HIPAA compliance, and healthcare-related data processing.

Responsibilities:

Lead the design, development, and delivery of ETL pipelines to process healthcare data.
Ensure efficient, scalable, and high-performance solutions with data consistency and quality.
Work closely with cross-functional teams, including data architects, analysts, and business stakeholders to ensure alignment on data requirements.
Mentor junior engineers and team members.
Address and resolve issues related to ELT processes, ensuring minimal disruptions and maintaining data integrity.
Collaborate with the client department to understand their data needs and provide solutions.
Participate in the development, testing, and enhancement of data engineering processes.

Skills:

Strong leadership and team collaboration skills.
Proven ability in data warehouse design and optimization.
Deep understanding of HIPAA and healthcare data regulations.

Qualification And Education:

Advanced certifications in data engineering or related fields are desirable.
Familiarity with other healthcare regulations and standards beyond HIPAA is a plus.
Experience with other cloud platforms and ETL tools is optional.
Experience in machine learning and AI applications in healthcare is optional.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10516350
Position Id: TX_LMDE_1203
Posted 12 hours ago

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