Akkodis

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a W2 contract in San Antonio, Texas, paying $55-$60/hour. Requires a Bachelor's degree, 10+ years of experience in data pipelines and Azure tools, strong SQL skills, and effective communication.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
480
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πŸ—“οΈ - Date
March 17, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Yes
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πŸ“ - Location detailed
San Antonio, Texas Metropolitan Area
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🧠 - Skills detailed
#Azure Synapse Analytics #Computer Science #Synapse #Data Modeling #SQL (Structured Query Language) #Azure ADLS (Azure Data Lake Storage) #DevOps #Cloud #Data Science #"ETL (Extract #Transform #Load)" #Microsoft Azure #Storage #Azure Data Factory #Data Warehouse #Data Lake #Azure #Data Management #Security #Data Quality #Data Pipeline #Data Governance #Automation #Agile #ADF (Azure Data Factory) #Data Integration #ADLS (Azure Data Lake Storage) #Spark (Apache Spark) #Deployment #Python #Data Engineering #Databricks #Data Ingestion #EDW (Enterprise Data Warehouse)
Role description
Akkodis is seeking a Data Engineer for a W2 contract position onsite with a client in San Antonio, Texas. This role will be building data pipelines, moving large volumes of data, performing data modeling, and must have strong communication skills. β€’ β€’ β€’ No Corp-to-Corp; No C2C; All C2C will be disqualified. β€’ β€’ β€’ Rate Range: $55.00/hour to $60.00/hour on W2 only; The rate may be negotiable based on experience, education, geographic location, and other factors. Responsibilities: β€’ Design, develop, implement, analytics solutions/data products on Microsoft Azure Synapse Analytics Platform β€’ Develop ETL/ELT processes to collect and integrate data from various sources. Ensuring data quality and data pipeline performance for large volume data ingestion β€’ Utilize data preparation, integration, storage & analytics tools within the Azure landscape β€’ Drive toward automation of repeatable data prep tasks to minimize manual data management processes β€’ Partner with business unit IT teams to gather and document analytics solution requirements β€’ Document and provide solution options and recommendations for analytics data products β€’ Collaborate and partner with cloud service providers, data science, data governance and other IT and business teams in the process of delivering analytics solutions β€’ Participate in MPC’s scaled agile framework for data engineering product delivery by participating in all relevant ceremonies β€’ Provide trouble shooting, analysis and resolutions on existing solutions for routine production support issues as well as major/minor enhancements. β€’ Adhere to MPCs data product delivery and change management processes for solution deployment within the landscape Qualifications: β€’ Bachelor’s degree in computer science, Computer Engineering, Software Engineering, Information Systems, or related field. β€’ Minimum 10 years of hands-on experience in building data pipelines, data models and maintaining/supporting enterprise data warehouse solutions β€’ Hands-on experience with Azure Data Lake Storage, Azure Synapse Analytics (data warehousing), Azure Data Factory (ADF), or Azure Spark Pools. β€’ Hands- on experience with SQL, data modeling, and data warehouse. β€’ Experience building data products using Databricks Notebooks, Python, DevOps, and CI/CD. β€’ Familiarity with data integration tools and with data modeling tools is a plus. β€’ Must have strong verbal communication skills. If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, go to www.Akkodis.com. Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: Β· The California Fair Chance Act Β· Los Angeles City Fair Chance Ordinance Β· Los Angeles County Fair Chance Ordinance for Employers Β· San Francisco Fair Chance Ordinance