

Senior Data Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
576
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ποΈ - Date discovered
August 8, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Houston, TX
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π§ - 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 β Expert level
β’ ELT Development β Expert level
β’ Data Modeling β Expert level
β’ Data Integration & Ingestion β Proficient
β’ Data Manipulation and Processing β Proficient
β’ GitHub, GitHub Actions, Azure DevOps β 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
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 β Expert level
β’ ELT Development β Expert level
β’ Data Modeling β Expert level
β’ Data Integration & Ingestion β Proficient
β’ Data Manipulation and Processing β Proficient
β’ GitHub, GitHub Actions, Azure DevOps β 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