Job Title: Azure Data Engineer Employment Type: Contract (W2 or C2C) Start: 7/14/2025 Duration: 6 months • Probable extension End Client: Confidential Industry: Oil & Gas Workplace Type: Hybrid (Findlay, Ohio, or San Antonio, Texas) • Monday – Thursday in office, Friday Remote) Job Description: The data engineer will be a key contributor in building and maintaining end to end data pipelines for analytics solutions/data products within our Insights & Discovery Platform based on Microsoft Azure Cloud and Azure Synapse Analytics. Key Responsibilities: • Design, develop, implement, analytics solutions/data products on Microsoft Azure Synapse Analytics Platform. • Develop ETL/ELT processes to collect and integrate data from various sources. Ensuring data quality and data pipeline performance for large volume data ingestion. • Utilize data preparation, integration, storage & analytics tools within the Azure landscape. • Drive toward automation of repeatable data prep tasks to minimize manual data management processes. • Partner with business unit IT teams to gather and document analytics solution requirements. • Document and provide solution options and recommendations for analytics data products. • Collaborate and partner with cloud service providers, data science, data governance and other IT and business teams in the process of delivering analytics solutions. • Participate in scaled agile framework for data engineering product delivery by participating in all relevant ceremonies. • Provide trouble shooting, analysis and resolutions on existing solutions for routine production support issues as well as major/minor enhancements. • Adhere to our data product delivery and change management processes for solution development within the landscape. Skills: • Must have strong experience with SQL, data modeling, data warehouse and Medallion architecture as a data engineer. • Must have strong experience building data products using Azure Data Lake Storage, Azure Synapse Analytics for data warehousing, Azure Spark Pools, Databricks Notebooks, CDC tools, Python, DevOps, CI/CD. • Familiarity with data integration tools (e.g. Qlik Replicate) and with data modeling tools (e.g. Erwin or ER Studio) is a plus. • Familiarity with data lake/warehouse Medallion architecture and concepts of Unified Data Models. • 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. • Understanding of SAP and Microsoft Dynamics 365 as a source for ingestion is a huge plus. • Strong problem-solving skills as it relates to data ingestion, modeling, validation is a must. • Strong communications skills and ability to interact with technical and non-technical business stakeholders is a must. • Working experience and exposure to visualization tools such as Microsoft PowerBI, Tableau desired. • Familiarity with Scaled Agile, DevOps, Scrum, and ITIL concepts is a plus. • Experience with Microsoft SSIS, SSRS, SSAS is a plus. • Experience with ServiceNow, Azure DevOps, ADO is a plus. Competencies: • Strong ability to present and communicate with technical and non-technical stakeholders at different levels within IT & business departments during various stages of solution design, development and implementation. • Collaboration & Building Partnerships - Developing and leveraging relationships within and across work groups to achieve results. • 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. • Continuous Improvement – Originating actions to improve existing conditions and processes, identifying improvement opportunities, generating ideas and implementing solutions. Required: • Bachelor’s degree in computer science, Computer Engineering, Software Engineering, Information Systems, or related field. • Overall Data Engineering Experience 12-15+ years; minimum 8-10+ years of hands-on experience in building data pipelines, data models and maintaining/supporting enterprise data warehouse solutions. • Experience in scaled agile framework for data engineering product delivery. • Microsoft Azure certifications in various analytics technologies is a plus. • Working knowledge/familiarity with Oil & Gas industry processes is a plus.