Skip to main content
Loading
loadingbar
Loading, Please wait..!!

Lead Data Engineer

  • Lead Data Engineer job type Posted on: Oct 11, 2026
  • Lead Data Engineer experience level Openkyber
  • Lead Data Engineer employment type Atlanta, Georgia
  • Lead Data Engineer employment type Onsite
  • Lead Data Engineer salary Full-time

Point Apply Here APPLY LATER

Curious about compensation?

Explore the historical salary trends, average pay, and estimated compensation for Lead Data Engineer roles in Georgia.

View Salary Guide →

Job Title :

Lead Data Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Job Title:

Sr. Data Engineer

Location:

Portland, OR Onsite

Job Type:

Contract

Experience:

14+ Years Mandatory

Interested candidates are required to include their LinkedIn URL, , and cell phone number along with their resume when submitting their profile.

Mandatory Requirements

Candidates must have strong hands-on experience in the following:

  • DBT
  • Snowflake
  • Advanced SQL
  • Python
  • Data Modeling
  • CI/CD
  • Healthcare Domain Experience
Roles & Responsibilities
  • Design and implement scalable data models and data pipelines aligned with business requirements.
  • Develop complex DBT models using advanced features, including macros, packages, and custom materializations.
  • Work extensively with Snowflake for query and warehouse performance optimization.
  • Develop and optimize complex SQL queries using CTEs, complex joins, analytic and window functions.
  • Perform data profiling, including analysis of keys, cardinality, data types, precision, scale, and data skew.
  • Implement and support data quality and testing frameworks.
  • Support CI/CD processes for DBT deployments.
  • Develop and maintain data models supporting healthcare and payer-related data requirements.
  • Collaborate with business and technical teams to translate requirements into scalable data solutions.
Key Skills & Expertise
  • Advanced SQL CTEs, complex joins, analytic & window functions
  • Snowflake query & warehouse performance optimization
  • DBT advanced models, macros, packages & custom materializations
  • Python intermediate or higher
  • Data Profiling keys, cardinality, data types, precision, scale & skew
  • Data Quality & Testing Frameworks
  • CI/CD for DBT deployments
  • Data Modeling
  • Healthcare/Payer experience

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 11, 2026

Reference Number:

106283-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

Share this job:

  • linkedin

Jobcon Logo
A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Lead Data Engineer    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Job Title:

Sr. Data Engineer

Location:

Portland, OR Onsite

Job Type:

Contract

Experience:

14+ Years Mandatory

Interested candidates are required to include their LinkedIn URL, , and cell phone number along with their resume when submitting their profile.

Mandatory Requirements

Candidates must have strong hands-on experience in the following:

  • DBT
  • Snowflake
  • Advanced SQL
  • Python
  • Data Modeling
  • CI/CD
  • Healthcare Domain Experience
Roles & Responsibilities
  • Design and implement scalable data models and data pipelines aligned with business requirements.
  • Develop complex DBT models using advanced features, including macros, packages, and custom materializations.
  • Work extensively with Snowflake for query and warehouse performance optimization.
  • Develop and optimize complex SQL queries using CTEs, complex joins, analytic and window functions.
  • Perform data profiling, including analysis of keys, cardinality, data types, precision, scale, and data skew.
  • Implement and support data quality and testing frameworks.
  • Support CI/CD processes for DBT deployments.
  • Develop and maintain data models supporting healthcare and payer-related data requirements.
  • Collaborate with business and technical teams to translate requirements into scalable data solutions.
Key Skills & Expertise
  • Advanced SQL CTEs, complex joins, analytic & window functions
  • Snowflake query & warehouse performance optimization
  • DBT advanced models, macros, packages & custom materializations
  • Python intermediate or higher
  • Data Profiling keys, cardinality, data types, precision, scale & skew
  • Data Quality & Testing Frameworks
  • CI/CD for DBT deployments
  • Data Modeling
  • Healthcare/Payer experience

For applications and inquiries,

Loading
Please wait..!!