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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** BHARATHVIO TECHNOLOGIES CORPORATION - **Location:** Kent, OH, United States - **Experience:** Experienced - **Salary:** $62,400.0 - $93,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, JIRA, BigQuery, Cloud Storage, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Mart, Data Retention, Data Security, Data Visualization, Data Warehousing, Programming Tools, Github, Information Lifecycle Management, Python (Programming Language), Project Management Software, Meta-Data Management, Operational Data Store, Power BI, SQL Databases, SQL Server Integration Services, Tableau (Software), Unstructured Data, Google Cloud, Informatica Powercenter, Build Management, Information Technology, Data Analytics, Star Schema, Data Management, Tools for Reporting, Software Version Control, Data Pipelines, Programming Languages, Control M - **Published:** July 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a669b5372e08d533 ## About the Role * Expertise in ETL/ELT development, SQL, and data engineering best quality practices including data quality, testing, monitoring, and exception handling. * Strong understanding of data pipelines, data mart design, and common engineering patterns. * Strong understanding of data warehouse concepts, including star schema, fact and dimension modeling, table grain, slowly changing dimensions, and operational data stores. * Experience with Google Cloud technologies, including BigQuery and Cloud Storage. * Business analysis experience to translate business requirements into data mappings, metric logic, and data definitions, and to perform data analysis. * Minimum of 3 years of hands-on data engineering experience. * Solid understanding of the data lifecycle, metadata management, and governance standards. * Ability to recommend practical data retention and history strategies that balance analytical value with reporting performance. * Strong cross-functional collaboration skills with leadership, colleagues, and stakeholders. * Strong communication and stakeholder management skills across technical and non-technical audiences. * Willingness to learn new skills and adapt to evolving technologies to meet future business needs. * Proficiency with development tools including version control (for example, GitHub), project management software (for example, JIRA), and orchestration tools (for example, Control-M, SQL Server Integration Services, Informatica, or similar). * Bachelor's or master's degree in computer science, information technology, or a related field, or equivalent practical experience. Preferred Competencies * 5+ years of experience with reporting and data visualization tools (Power BI, Tableau) * 5+ years of experience with data management tools and coding languages (Python) * 3+ years of experience in the financial services industry and/or a B2B environment * Experience leveraging AI in development lifecycle, and enabling AI-ready data environments. ## Description Data Engineering & Architecture * Build and maintain data mart solutions that support reporting and analytics use cases. * Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data. Develop and troubleshoot ETL/ELT logic using SQL and team tooling. * Design and build dimensional data models, including facts and dimensions, determine appropriate table grain, and implement slowly changing dimensions where historical tracking is required. * Define and implement practical data retention and history strategies that preserve analytical value without overloading downstream reporting tools. Data Quality, Reliability & Operations * Implement and maintain data quality controls, reconciliation checks, testing, and monitoring to ensure data accuracy, consistency, and reliability. * Support production reliability through job monitoring, issue resolution, root-cause analysis, operational support, and documentation. * Create and maintain production support and deployment artifacts. Collaboration & Delivery * Collaborate with business stakeholders and technical teams to translate business needs into scalable technical solutions, including metric logic, and data definitions. * Work closely with development partners, product owners, and team members to design features, decompose stories, and prioritize delivery. * Share technical knowledge and support team success through collaboration, documentation, and guidance. Leadership & Influence * Provide technical leadership for data pipeline development and engineering practices. * Navigate cross-functional communication effectively to maintain alignment across teams. * Use data-driven reasoning to constructively challenge decisions, align on outcomes, and execute once direction is set. Risk, Governance, & Continuous Improvement * Identify technology risks and dependencies early and help establish mitigation plans. * Implement data security, governance, and metadata management practices to protect sensitive information. * Contribute to a culture of open feedback, accountability, and continuous improvement. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Collaboration Quantified: Lessons from Open Source Developer Networks](https://www.wearedevelopers.com/videos/1422-collaboration-quantified-lessons-from-open-source-developer-networks) - [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) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Making Data Warehouses fast. 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