Data Engineer
Job Location:
Job Location:
Fort Worth, TX - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
Yesterday
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Data Engineer
Duration: 03/23/2026 to 12/31/2026
Location: Fort Worth TX 76155
Location: Fort Worth TX 76155
Onsite Hybrid
Must work onsite hybrid starting week 1 (2 weeks max from the time of offer acceptance)
Zero exceptions will be made as this is corporate policy - no delayed remote start no remote work
2 days a week onsite must be flexible up to 4 days a week onsite
Minimum Qualifications-
Bachelors degree in Computer Science Computer Engineering Technology Information Systems (CIS/MIS) Engineering or related technical discipline or equivalent experience/training
5-7 years software solution development using agile DevOps operating in a product model that includes designing developing and implementing large-scale applications or data engineering solutions
5-7 years data analytics experience using SQL
5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub Azure Data Factory Azure Databricks Azure DevOps Azure Blob Storage Azure Data Lake Azure Power Apps and Power BI.
Combination of Development Administration & Support experience in several of the following tools/platforms required:
o Scripting: Python Spark Unix SQL
o Data Platforms: Teradata Cassandra MongoDB Oracle SQL Server ADLS Snowflake Azure Data Explorer. Administration skills a plus
o Azure Cloud Technologies: Azure Data Factory Azure Databricks Azure Blob Storage Azure Data Lake Azure Power Apps and Azure Functions
o CI/CD: GitHub Jenkins Azure DevOps Terraform
o BI Analytics Tool Stack - Cognos Tableau Power BI Alteryx Denodo and Grafana
o Clear understanding on Data Warehousing concept
o Data Governance and Privacy: Informatica Axon and EDC BigID
o Orchestration: Azure Data Factory Tivoli
Bachelors degree in Computer Science Computer Engineering Technology Information Systems (CIS/MIS) Engineering or related technical discipline or equivalent experience/training
5-7 years software solution development using agile DevOps operating in a product model that includes designing developing and implementing large-scale applications or data engineering solutions
5-7 years data analytics experience using SQL
5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub Azure Data Factory Azure Databricks Azure DevOps Azure Blob Storage Azure Data Lake Azure Power Apps and Power BI.
Combination of Development Administration & Support experience in several of the following tools/platforms required:
o Scripting: Python Spark Unix SQL
o Data Platforms: Teradata Cassandra MongoDB Oracle SQL Server ADLS Snowflake Azure Data Explorer. Administration skills a plus
o Azure Cloud Technologies: Azure Data Factory Azure Databricks Azure Blob Storage Azure Data Lake Azure Power Apps and Azure Functions
o CI/CD: GitHub Jenkins Azure DevOps Terraform
o BI Analytics Tool Stack - Cognos Tableau Power BI Alteryx Denodo and Grafana
o Clear understanding on Data Warehousing concept
o Data Governance and Privacy: Informatica Axon and EDC BigID
o Orchestration: Azure Data Factory Tivoli
Preferred Qualifications-
5-7 years software solution development using agile devops product model that includes designing developing and implementing large-scale applications or data engineering solutions
5-7 years data analytics experience using SQL
5-7 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure Data Factory Azure Databricks Azure DevOps Azure Blob Storage Azure Data Lake Azure Power Apps and Power BI.
Azure (Data Factory Azure Functions ADX Event Hub ASA) experience
Skills Licenses & Certifications
Expertise with the Azure Technology stack for data management data ingestion capture processing and curation
Expertise in providing practical direction within the Azure Native cloud services.
Azure Development Track Certification (preferred)
Spark Certification (preferred)
