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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics and Operations Engineer - **Company:** ASSURESOFT CORPORATION - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Business Logic, Databases, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Github, Python (Programming Language), Software Architecture, Power BI, SQL Databases, Sql Optimization, Data Management, Data Pipelines, Docker, Amazon Redshift - **Published:** September 23, 2026 - **Apply:** https://www.thejobnetwork.com/job/a1291ee8-60d6-481f-9a39-560f9da3ceb1/data-analytics-and-operations-engineer ## About the Role - 6+ years of professional experience in analytics engineering, data engineering, business intelligence, analytics, or related fields - Proven experience owning analytics and data infrastructure end-to-end, including the ability to make technical and architectural decisions independently. - Demonstrated ability to operate with a high degree of autonomy and self-sufficiency, identifying problems, defining solutions, and executing them without requiring constant guidance. - Strong understanding of data warehousing, dimensional modeling, semantic-layer concepts, and modern analytics architectures. - Extensive experience designing, building, maintaining, and troubleshooting ELT/ETL pipelines in production environments. - Advanced SQL and data modeling skills, including experience working with complex transformations and business logic. - Strong hands-on professional experience with **dbt, Amazon Redshift, Amazon QuickSight, AWS, Python, Docker, GitHub, and SQL**. - Experience maintaining and evolving existing data platforms, including legacy data cleanup, data reconciliation, and complex financial or business logic. - Strong problem-solving and troubleshooting skills, with the ability to independently investigate ambiguous data, pipeline, reporting, or infrastructure issues. - Startup mindset: proactive, adaptable, resourceful, and comfortable working in environments where priorities, systems, and requirements evolve quickly. - Strong communication, documentation, and stakeholder management skills, including the ability to translate business requirements into scalable technical solutions. - Advanced English. ## Description The key to our success is simple; we deliver the highest quality, on time, with passion and commitment, and live every day by a set of great values. We've built a company that fosters long-term careers in an environment of continuous learning, with cutting-edge benefits, tools, and resources. In addition, certifications that endorse our company as a great place to work. ### **Responsibilities** - Monitor and support daily ELT pipelines and reporting processes. - Design, document, and maintain data warehouse models as source systems evolve. - Develop and maintain semantic-layer and business intelligence data models. - Support month-end reporting and recurring business processes. - Improve and prepare data assets for AI-enabled workflows and automation initiatives. - Design data transformations to improve data quality, consistency, accessibility, and usability. - Troubleshoot data issues and support analytics requests across the organization. - Serve as the primary technical resource for analytics infrastructure and reporting systems. - Prepare internal metrics, analytics, and leadership reporting. - Collaborate with stakeholders on data-driven initiatives and continuous improvements. ### Requirements , **Retention of your personal information:** AssureSoft will retain your personal information for as long as necessary to fulfill the purposes for which it was collected or as necessary to comply with our legal obligations, resolve disputes, and maintain appropriate business records. Once the purpose has been fulfilled, your personal information will be retained and blocked due to the possibility of legal and governmental requirements, and until the status of limitations has run out. Important Notice Regarding Personal Information: If you do not want your personal and professional information to be retained in our database, please send your request for data removal to [info@assuresoft.com](mailto:info@assuresof.com). ## 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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)