Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Houston, TX, lasting 4+ months, with a pay rate of "unknown." Requires expert-level skills in Azure, AWS, SAP, and ELT development, along with strong data engineering and mentoring experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
576
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πŸ—“οΈ - Date discovered
August 8, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
On-site
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
Houston, TX
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🧠 - Skills detailed
#Synapse #SonarQube #Scala #Data Modeling #Cloud #SQL (Structured Query Language) #Airflow #DevOps #Azure #Databricks #Strategy #Data Engineering #Redshift #Scrum #Documentation #Data Architecture #GitHub #SAP #Data Manipulation #AWS (Amazon Web Services) #Data Integration #Data Strategy #Azure DevOps #Pytest
Role description
Title: Senior Data Engineer Location: Houston, TX 77079 United States (Onsite) Job Duration: 04+ months (Possible Extension) Job Description: The ideal candidate is a technology expert with deep experience in data engineering and cloud solutions. This role requires strong technical design skills, hands-on development capabilities, and the ability to work closely with both IT and business stakeholders. Senior-level experience and the ability to mentor junior team members are critical. Key Responsibilities: β€’ Design and implement scalable data architecture using Azure, AWS, and SAP platforms. β€’ Lead ELT development and end-to-end data engineering efforts to support global trading data integration. β€’ Support alignment and standardization of data between WONA and NA regions. β€’ Work closely with business stakeholders and IT to roll out data strategy and initiatives. β€’ Serve as a subject matter expert in Data Engineering, Data Modeling, and Integration. β€’ Provide technical guidance and mentorship to junior engineers. β€’ Support change management, incident resolution, and continuous improvement initiatives. β€’ Present technical findings to stakeholders and contribute to knowledge-sharing efforts across teams. Required Skills: β€’ Azure, AWS, SAP – Expert level β€’ ELT Development – Expert level β€’ Data Modeling – Expert level β€’ Data Integration & Ingestion – Proficient β€’ Data Manipulation and Processing – Proficient β€’ GitHub, GitHub Actions, Azure DevOps – Proficient β€’ Hands-on experience with the following tools/platforms: β€’ Data Factory β€’ Databricks β€’ SQL DB β€’ Synapse β€’ Stream Analytics β€’ Glue β€’ Airflow β€’ Kinesis β€’ Redshift β€’ SonarQube β€’ PyTest Preferred Skills: β€’ Experience managing or running a Scrum team β€’ Familiarity with Planning/BPC systems β€’ Exposure to external technical ecosystems β€’ Experience with MKDocs or similar documentation tools