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Sr Data Engineer

  • Sr Data Engineer job type Posted on: Oct 20, 2026
  • Sr Data Engineer experience level Akaasa Technologies
  • Sr Data Engineer employment type Dallas, Texas
  • Sr Data Engineer employment type Onsite
  • Sr Data Engineer salary Full-time

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Job Title :

Sr Data Engineer

Job Type :

Full-Time

Job Location :

Dallas Texas United States

Remote :

No

Jobcon Logo Job Description :

Sr. Data Engineer

Hybrid 4 days a week (Dallas, TX or Miami, FL)

    • If they have anything to do with HR background (workday data) would be a plus, any knowledge on sales and marketing domain as a whole (ingestions or data modeling for using 3rd party data huge plus) sales and marketing as well, in terms of how to structure 3rd party data from multiple sources, and general understanding of how to setup sales and reporting on sales. His team works with those domains.
    • Within AWS must haves are glue, catalog, data lake architecture, gold/silver bronze, lambda, setting up security within lake formations is ideally what they are looking for from an engineering perspective.
    • Tableau dashboards but they don't own them, but data they build supports those dashboards.
    • DBT not as important for the engineer role, but core for analyst
    • Day to day would be data ingestion, CICD, API's, using silver to transform the data, standard cleansing of the data and modeling of the data, where there will be handshake between engineer and the analyst,

Jobcon Logo Position Details

Posted:

Oct 20, 2026

Reference Number:

33654-20508

Employment:

Full-time

City:

Dallas

Job Origin:

CIEPAL_ORGANIC_FEED

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Sr. Data Engineer

Hybrid 4 days a week (Dallas, TX or Miami, FL)

    • If they have anything to do with HR background (workday data) would be a plus, any knowledge on sales and marketing domain as a whole (ingestions or data modeling for using 3rd party data huge plus) sales and marketing as well, in terms of how to structure 3rd party data from multiple sources, and general understanding of how to setup sales and reporting on sales. His team works with those domains.
    • Within AWS must haves are glue, catalog, data lake architecture, gold/silver bronze, lambda, setting up security within lake formations is ideally what they are looking for from an engineering perspective.
    • Tableau dashboards but they don't own them, but data they build supports those dashboards.
    • DBT not as important for the engineer role, but core for analyst
    • Day to day would be data ingestion, CICD, API's, using silver to transform the data, standard cleansing of the data and modeling of the data, where there will be handshake between engineer and the analyst,

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