Akkodis

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in San Antonio, Texas, on a contract for 12+ months, with a pay rate of $56.00 to $63.00/hour. Key skills include SQL, Azure Data Lake, ETL processes, and strong communication abilities.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
504
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πŸ—“οΈ - Date
March 5, 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
#Data Science #Computer Science #Data Quality #ADLS (Azure Data Lake Storage) #Data Governance #Automation #Cloud #ERWin #Data Engineering #API (Application Programming Interface) #SAP #Data Pipeline #Deployment #Azure ADLS (Azure Data Lake Storage) #Security #ADF (Azure Data Factory) #Python #Spark (Apache Spark) #Data Integration #Qlik #Data Management #Tableau #Visualization #Data Warehouse #Agile #Scrum #SaaS (Software as a Service) #EDW (Enterprise Data Warehouse) #Synapse #Data Modeling #Azure Data Factory #Databases #Azure Synapse Analytics #Databricks #Data Ingestion #Microsoft Azure #Azure DevOps #DevOps #"ETL (Extract #Transform #Load)" #Azure #MS D365 (Microsoft Dynamics 365) #SQL (Structured Query Language) #Storage #Data Lake #SharePoint
Role description
Akkodis is seeking a Data Engineer for a contract position onsite with a client in San Antonio, Texas. This data engineer 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; No Referrals from C2C β€’ β€’ β€’ Rate Range: $56.00/hour to $63.00/hour on W2 only; The rate may be negotiable based on experience, education, geographic location, and other factors. Data Engineer job responsibilities include: 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 Education & Experience: β€’ Bachelor’s degree in computer science, Computer Engineering, Software Engineering, Information Systems, or related field. β€’ Minimum 10-12+ years of solid data engineering hands-on experience in building data pipelines, data models and maintaining/supporting enterprise data warehouse solutions β€’ Experience in scaled agile framework for data engineering product delivery β€’ Microsoft Azure certifications in various analytics technologies is a plus β€’ Working knowledge/familiarity with Oil & Gas industry processes is a plus Skills: β€’ Must have strong experience with SQL, data modeling, data warehouse and medallion architecture as a data engineer β€’ Must have strong experience building data products using Azure Data Lake Storage, Azure Synapse Analytics for data warehousing, Azure Data Factory (ADF), Azure Spark Pools, Databricks Notebooks, CDC tools, Python, DevOps, CI/CD β€’ Familiarity with data integration tools (e.g. Qlik Replicate) and with data modeling tools (e.g. Erwin or ER Studio) is a plus β€’ Familiarity with data lake/warehouse medallion architecture and concepts of Unified Data Models β€’ Strong hands-on experience with ingesting data from a variety of structured (Databases, Flat Files, SharePoint) and unstructured, on-premises and SaaS (API based ETL) sources is a must β€’ Understanding of SAP and Microsoft Dynamics 365 as a source for ingestion is a huge plus β€’ Strong problem-solving skills as it relates to data ingestion, modeling, validation is a must β€’ Strong communications skills and ability to interact with technical and non-technical business stakeholders & SME is a must β€’ Working experience and exposure to visualization tools such as Microsoft PowerBI, Tableau desired. β€’ Familiarity with Scaled Agile, DevOps, Scrum, and ITIL concepts is a plus β€’ Experience with ServiceNow, Azure DevOps, ADO is a plus Competencies: β€’ Strong communication and presentation skills – Ability to present and communicate with technical and non-technical stakeholders at different levels within IT & business departments during the various stages of solution design, development and implementation. β€’ Collaboration & Building Partnerships - Developing and leveraging relationships within and across work groups to achieve results β€’ Drive for Results – Taking ownership of assigned work and prompt action to accomplish objectives; taking actions to achieve goals beyond what is required; being proactive β€’ Continuous Improvement – Originating actions to improve existing conditions and processes, identifying improvement opportunities, generating ideas and implementing solutions 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