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Data Engineer - Dallas

Designit

$65 - $70
Jun 10, 2025
Dallas, TX, US
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The company is looking to drive best-in-class analytics across their enterprise client's website, mobile app, and airport technologies.

Requirements

  • Scripting: Python, Spark, Unix, SQL
  • Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer
  • Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
  • CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
  • BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
  • Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience
  • Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation

Responsibilities

  • Utilize Development, Administration & Support experience in several tools/platforms
  • Implement large-scale applications or data engineering solutions
  • Design, develop, and implement data analytics solutions using SQL
  • Develop and implement cloud development and data lake solutions using Microsoft Azure
  • Orchestrate data pipelines using Azure Data Factory and Tivoli
  • Administer data platforms such as Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, and Azure Data Explorer
  • Develop and implement data governance and privacy solutions using Informatica Axon and EDC, BigID

Other

  • Bachelor's 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
  • 5-7 years data analytics experience using SQL
  • 5-7 years of cloud development and data lake experience (prefer Microsoft Azure)
  • Embraces work-life balance
  • Promotes a culture of learning and advocacy across the globe
  • Offers a comprehensive benefits package effective Day 1