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Lead Data Engineer

  • Lead Data Engineer job type Posted on: Oct 21, 2026
  • Lead Data Engineer experience level Akaasa Technologies
  • Lead Data Engineer employment type Dallas, Texas
  • Lead Data Engineer employment type Onsite
  • Lead Data Engineer salary Full-time

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Job Title :

Lead Data Engineer

Job Type :

Full-Time

Job Location :

Dallas Texas United States

Remote :

No

Jobcon Logo Job Description :

JOB TITLE: Lead Data Engineer

REMOTE/ HYBRID - must be tier 1 location) - Prefer Louisville, Dallas, Tampa, Fort Lauderdale is that is where their team sits now

List of approved worksite locations - tech tier 1
Green Bay
Boston
Louisville
Dallas/Frisco
Ft. Lauderdale



The biggest clarification was that this is not simply a strong Data Engineer opening. It is a true technical lead need. Client is looking for someone who combines deep Azure/Databricks capability with substantial experience leading across multiple teams, communicating with stakeholders, mentoring others, and anticipating problems.
10+ years of experience
At least 3-5+ years in cloud lead positions
Good communication is KEY since this is a lead role
Must be very strong technically
Mentor team members
Certified in data bricks, azure, etc. that's a big plus
Tech Stack - Databricks, Azure
AI is a key area - should be comfortable in AI / interest in learning new things but its ok if they don't have hands on working with AI - but some have personal projects, or understanding
Data bricks is the biggest focus
Working on a google project - so GCP is a plus
Completely on cloud for most projects
Working across multiple teams - should have exp leading larger groups / projects (does not want to see someone that has only led 2-3 people)
Healthcare is a plus not required

Preferred Qualifications
Healthcare or payer industry experience.
Experience supporting Medicare, Medicaid, or healthcare analytics initiatives.
Familiarity with Azure Data Factory, Databricks, Synapse, Snowflake, Hadoop, or similar technologies.
Experience with Power BI, Tableau, or other BI/reporting tools.
Exposure to machine learning and advanced analytics environments.
Experience working in highly regulated healthcare environments.

Jobcon Logo Position Details

Posted:

Oct 21, 2026

Reference Number:

33693-20508

Employment:

Full-time

City:

Dallas

Job Origin:

CIEPAL_ORGANIC_FEED

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JOB TITLE: Lead Data Engineer

REMOTE/ HYBRID - must be tier 1 location) - Prefer Louisville, Dallas, Tampa, Fort Lauderdale is that is where their team sits now

List of approved worksite locations - tech tier 1
Green Bay
Boston
Louisville
Dallas/Frisco
Ft. Lauderdale



The biggest clarification was that this is not simply a strong Data Engineer opening. It is a true technical lead need. Client is looking for someone who combines deep Azure/Databricks capability with substantial experience leading across multiple teams, communicating with stakeholders, mentoring others, and anticipating problems.
10+ years of experience
At least 3-5+ years in cloud lead positions
Good communication is KEY since this is a lead role
Must be very strong technically
Mentor team members
Certified in data bricks, azure, etc. that's a big plus
Tech Stack - Databricks, Azure
AI is a key area - should be comfortable in AI / interest in learning new things but its ok if they don't have hands on working with AI - but some have personal projects, or understanding
Data bricks is the biggest focus
Working on a google project - so GCP is a plus
Completely on cloud for most projects
Working across multiple teams - should have exp leading larger groups / projects (does not want to see someone that has only led 2-3 people)
Healthcare is a plus not required

Preferred Qualifications
Healthcare or payer industry experience.
Experience supporting Medicare, Medicaid, or healthcare analytics initiatives.
Familiarity with Azure Data Factory, Databricks, Synapse, Snowflake, Hadoop, or similar technologies.
Experience with Power BI, Tableau, or other BI/reporting tools.
Exposure to machine learning and advanced analytics environments.
Experience working in highly regulated healthcare environments.

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