Data Engineer

This range is provided by The Intersect Group. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $100,000.00/yr - $140,000.00/yr The Intersect Group is seeking a Data Engineer II for client located in the Tulsa area. An engineer proficient in integrating diverse data sources and transforming data for various business applications. Direct Hire Location: Tulsa / 5 days onsite (relocation assistance available) Interview Process: 2 virtual interviews followed by onsite interview Skills: Databricks & Databricks SQL Python and PySpark Libraries T-SQL SSIS Azure DevOps Pipelines and Repositories Azure Synapse and/or Power BI Modeling is a plus Looking for engineers with at least 3 years’ experience Needed: 3-5 years’ experience in programming data solutions. Familiar with all aspects of systems analysis, design, and installation procedures in a business environment. Proficient in one or more of the company’s data technologies or languages. Good problem-solving skills. Familiar with a variety of IT concepts, practices and procedures. Good written and verbal communication skills and time management skills. Preferred: 5+ years professional experience including developing data solutions in a business environment, installing and troubleshooting hardware and software problems. Proficiency in all programming languages and data tools in use at company This role is part of a team dedicated to developing innovative data solutions using the Azure and Databricks platform. This engineer is responsible for developing, testing, deploying, supporting, and maintaining data pipelines, data stores (e.g., Data Warehouse, Mart, Hub), and business intelligence models. The position follows established guidelines and instructions to execute job functions effectively. Duties: Development - 50% Develop, modify, extend, and debug data pipelines in alignment with Software Development Lifecycle (SDLC). Data Extraction and Analysis: Connect to diverse data sources, analyze data, and assess its suitability for business needs. Automated Data Pipeline Development: Design and implement automated pipelines to extract, cleanse, and transform data for business use. Data Consolidation: Build automated processes to integrate and unify similar data from multiple sources into a single source of truth. Data Quality Monitoring: Develop automated processes for data quality monitoring and alerting. Data Modeling and Publishing: Structure and publish datasets for users to access through reporting and business intelligence tools. Technical Expertise: Apply knowledge of multiple programming languages and tools used in development process. May act as a Product Technical Owner of a software product on occasion: Accountable for the technological performance of the product. Responsible for adherence to strategic plan while remaining focused on the teams handling the product. Manages the technical debt of the product. Coordinates coding efforts across one or more development teams. Leads trouble-shooting efforts by getting the right expertise involved. Technical Support - 35% Troubleshoot and resolve technical issues by applying strong customer service, problem-solving, and analytical skills. Analyze and track incoming issues to identify root causes. Accurately document customer issues, resolution steps, and feedback in support tracking software. Create and distribute internal support documentation for troubleshooting. This role requires 24/7 support availability. Training - 10% Seek feedback from team members and supervisors to identify areas for skill improvement. Mentor junior data engineers through knowledge sharing. Administration and Communication - 5 % Actively listen to team members and incorporate their input. Communicate ideas effectively in both verbal and written formats. Provide timely status updates to project managers and team members. Seniority level Associate Employment type Full-time Job function Information Technology Industries Retail #J-18808-Ljbffr