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Data Engineer

This role is for a Data Engineer on a contract basis in Dallas, TX, offering $45-$52 per hour. Requires 5-7 years in data analytics and cloud development (preferably Microsoft Azure), with expertise in Azure Data Factory, Databricks, and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
416
🗓️ - Date discovered
February 22, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Dallas, TX
🧠 - Skills detailed
#Microsoft Azure #Data Governance #Snowflake #Terraform #Azure Blob Storage #Azure Data Factory #Microsoft Power BI #Axon #Azure DevOps #ADLS (Azure Data Lake Storage) #Azure #Scripting #SQL (Structured Query Language) #Jenkins #BI (Business Intelligence) #Azure Databricks #Alteryx #Computer Science #DevOps #Spark (Apache Spark) #Azure cloud #ADF (Azure Data Factory) #Oracle #Teradata #Python #Unix #Data Lake #Storage #Cloud #Data Management #Grafana #SQL Server #Data Ingestion #Databricks #Data Engineering #Informatica #MongoDB #Agile #GitHub #Tableau
Role description
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Job Summary

Work Location: ONSITE - Dallas, TX

Interview Process: must be able to in-person interview in Dallas, TX

location: Dallas, Texas

job type: Contract

salary: $45 - 52 per hour

work hours: 8am to 4pm

education: No Degree Required

Responsibilities

KEY SKILLS:

Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
• 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

Qualifications

Minimum Qualifications:
• 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 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:
• Scripting: Python, Spark, Unix, SQL
• Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer. Administration skills a plus
• 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
• Clear understanding on Data Warehousing concept
• Data Governance and Privacy: Informatica Axon and EDC, BigID
• Orchestration: Azure Data Factory, Tivoli

Preferred Qualifications- Education & Prior Job Experience
• 5-7 years software solution development using agile, dev ops, 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
• Airline Industry Experience

skills: 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)

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).

This posting is open for thirty (30) days.