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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Interprint Incorporated - **Location:** Denver, CO, United States (Remote available) - **Experience:** Expert - **Salary:** $112,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Data Analysis, Microsoft Azure, Big Data, Software as a Service, Cloud Computing, Computer Programming, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Data Stores, Data Vault Modeling, Software Debugging, Decision Support Systems, Dimensional Modeling, Python (Programming Language), Performance Tuning, Power BI, Scala (Programming Language), PL-SQL, SQL Databases, Tableau (Software), Cloud Platform System, Bi Publisher, Snowflake, Git, Data Lakes, Ansi Sql, Integration Frameworks, Data Management, Data Pipelines, Jenkins, Amazon Redshift, Databricks - **Published:** August 1, 2026 - **Apply:** https://recruiting.adp.com/srccsh/public/RTI.home?r=5001215837200&c=2166501&d=WWTExternalCareerSite ## About the Role * Bachelor's degree - Computer Science or a minimum of 5 years' progressive experience in a related field. * 5+ years of experience in analytics, SQL, and/or ETL development. * Proficiency in data warehousing/business intelligence development/data modeling. * 5+ years' experience building large scale data sources in Oracle or equivalent relational database. * 3+ years' experience using API platforms such as MuleSoft / APIGee and ELT platform such as Matillion or Informatica. * Have excellent SQL skills with PL/SQL development experience. * Hands-on development experience using an ETL tool; Oracle Data Integrator preferred. * Hands-on development experience with Oracle Cloud reporting and data replication; Business Intelligence Cloud Connector Console, BI Publisher, and OTBI preferred. * Strong analytical and problem-solving capabilities. * Experience with BI reporting tools like Tableau, Power BI. * Programming skills: Java, Scala, Python. * Expertise with CI/CD pipeline and integration tools e.g., Jenkins, GIT. * Understand an analytics platform, its use-cases, and best practices. * Experience working with different types of data stores (RDMS, Flat Files, Columnar DBs, etc.) * Strong understanding of dimensional modeling, data lakes, and data vault. * Experience with Cloud-based environment, Saas. * Experience with any of the cloud warehousing products e.g. Databricks, Snowflake, Redshift, etc. * Experience with MS Power Platform. * Experience working with cloud environments Azure. * Experience in designing Data Architecture and pipelines. * Proficient in performance tuning and debugging. * Experience required to work in a fast-paced environment with a focus on delivering customer satisfaction. * Travel - up to 10% of the time. (domestic and international) * Must be authorized to work within the US. We will not be able to sponsor employment for this position. ## Description The Internal WWT IT team is the backbone of our company's technological infrastructure, ensuring seamless operations and continuous innovation. Our team is dedicated to managing and supporting the company's technological infrastructure, ensuring the smooth operation of hardware, software, networks, and data systems, while providing top-notch technical support to employees. By joining the Internal WWT IT team, you will play a crucial role in maintaining the efficiency and security of our IT environment, enabling the company to achieve its strategic goals. The Internal IT team offers the opportunity to work in a dynamic and collaborative environment, where your contributions will directly impact the company's success. If you are passionate about technology and eager to take on new challenges, we encourage you to apply and join our team. What will you be doing? As a Senior Data Engineer, you will collaborate with a multi-disciplinary team of solution architects and data scientists on a wide range of business problems. You will be an integral part of the IT HCM Analytics team, who is responsible for building out capabilities across business strategy, analytics, and Cloud. The role's primary focus will be on architecting and maintaining our data pipeline and ETL processes, building integrations, and developing complex data models to foster data-driven decision making across all functional areas. Senior Data Engineer must be able to: * Independently execute on all phases of the Data Engineer project lifecycle * Gain subject matter expertise in various business domain * Apply technical expertise to solve complex business problems * Effectively communicate with business stakeholders for successful project execution * Mentor team member Responsibilities: * Support our Analytics partners embedded in the business, providing data to analysts across the company. * Be an equal member of a cohesive and selfless team. * Take complete ownership of your work with the goal of exceeding customer expectations. * Work closely with analysts, developers, and data architects to ensure development meets requirements and delivers optimal performance. * Consult on the design, development, and implementation of innovative solutions to complicated data issues which enhance traditional star-schema data structures. * Expertise in Data Engineering and implement multiple end-to-end DW projects in Big Data environment. * Support and debug issues in production environment and be part of production support, across several reporting toolsets. * Work in an agile team - plan, prioritize design, test, and coordinate end-to-end delivery of solutions. * Embrace the opportunity to expand your skillset both functionally and technically. * Design, create, and implement complex data models (including canonical, conceptual, logical, and physical models). * Implement new design methodologies. * Build, scale, and maintain our data infrastructure and data products. * Implement physical database models and tune SQL. * Use ANSI SQL and/or PL/SQL to perform data analysis. * Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and "big data" technologies. * Flexibility to work as a member of a matrix based diverse and geographically distributed project teams. ## 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) - [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)