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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Track25 LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $120,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Services, Build Automation, Microsoft Azure, C Sharp (Programming Language), Code Review, Information Systems, Computer Programming, Data Architecture, Information Engineering, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Systems, Electronic Data Interchange (EDI), Python (Programming Language), Machine Learning, Operational Databases, Performance Tuning, Query Optimization, DataOps, Simple Object Access Protocol (SOAP), Software Engineering, SQL Databases, Systems Integration, Azure Data Factory, Sql Optimization, Apache Spark, Virtual Environment, Reliability of Systems, Git, Information Technology, Data Management, Software Version Control, Data Pipelines - **Published:** May 31, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=38612236915a608f ## About the Role Do you have experience in Version control systems?, Do you have a Bachelor's degree?, The ideal candidate is a senior-level data professional who is comfortable taking ownership, solving ambiguous problems, and delivering dependable solutions in a fast-moving environment., * Bachelor's degree in Computer Science, Information Systems, related field, or equivalent professional experience. * Significant experience in data engineering, data architecture, software development, or a related technical role. * Advanced SQL skills, including query optimization and performance tuning, advanced SQL platforms * Strong experience with one or more programming/data technologies, such as: * Python, dbt, C# * Hands-on experience with data pipeline orchestration tools such as Azure Data Factory or similar technologies. * Strong understanding of: Data modeling, ETL/ELT concepts, Data integration strategies, Modern data engineering practices, experience using version control platforms such as Git., * Taking ownership of challenging technical initiatives. * Creating reliable, repeatable, and scalable solutions. * Working independently while collaborating effectively with others. * Improving processes, tools, and engineering standards. * Balancing attention to detail with the ability to manage multiple priorities. You should be comfortable working in an environment where accuracy, system reliability, and data quality are essential., * Data Engineering: 10 years (Required) * SQL: 10 years (Required) * Azure Data Factory / Fabric: 2 years (Required) * ETL/ELT: 10 years (Required) ## Description Are you an experienced Senior Data Engineer who enjoys solving complex problems, building reliable data solutions, and improving the way organizations use information? We are looking for a senior-level Data Engineer to help design, enhance, and support modern data platforms that drive business decisions. This role is ideal for someone who takes ownership of technical challenges, values quality engineering practices, and enjoys collaborating with teams to create scalable and efficient solutions. Our organization believes in empowering people, encouraging innovation, and creating an environment where individuals can do their best work. We value trust, collaboration, adaptability, and continuous improvement. What You'll Do As a Data Engineer, you will play a key role in developing and maintaining enterprise data solutions. You will work independently on complex initiatives while partnering with technical teams, business users, and stakeholders to improve data accessibility, reliability, and performance. Data Platform Development * Architect, develop, and optimize scalable data pipelines and ETL processes. * Create advanced SQL solutions with a focus on performance, accuracy, and efficiency. * Build automation and data solutions using tools such as Microsoft Azure, Fabric, Spark, and Python. * Support advanced analytics initiatives, including machine learning and AI-related engineering projects. * Improve existing data processes through optimization and modernization. Systems Integration * Design and maintain integrations between internal platforms, third-party applications, and external partners. * Develop and support APIs, including REST and SOAP-based services. * Work with vendors and technical partners to ensure secure, reliable data exchange. Data Operations & Reliability * Monitor production data workflows and resolve issues impacting availability or performance. * Identify opportunities to increase automation, reduce manual processes, and improve system stability. * Troubleshoot complex technical problems and implement long-term solutions. Collaboration & Engineering Practices * Partner with Data, QA, and business teams to deliver high-quality solutions. * Participate in planning discussions, stand-ups, technical reviews, and stakeholder meetings. * Perform code reviews and promote engineering standards. * Create and maintain documentation for systems, processes, and technical workflows. Technical Leadership * Provide guidance and mentorship to other team members. * Share expertise through training, documentation, and best-practice recommendations. * Lead complex data engineering initiatives from planning through successful delivery., * Data pipelines and integrations consistently support critical business operations. * Systems become more efficient, automated, and scalable over time. * Issues are identified and addressed proactively. * Engineering practices improve through strong documentation, mentoring, and technical leadership. Work Environment * 100% remote position within the United States. * Company-provided technology and equipment. * Collaborative virtual environment with support from engineering, QA, and business teams. Training & Onboarding New team members receive training and support, including: * Remote orientation sessions * Internal tools and development processes * Security procedures and best practices * Approved AI and technology resources ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Are Code Reviews Worth It? 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