![]() ![]() It's easier than ever to collect, store, and analyze massive amounts of data. Data engineers help companies make sense of big data with SQL, NoSQL, or hybrid infrastructures. All employment is decided based on qualifications, merit, and business need.As a data engineer, your role is to organize databases and data warehouses, and optimize them for data storage and retrieval. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonuses or benefits. Please note, the base pay offered may vary within the range depending on a wide array of factors including but not limited to work location, job-related knowledge/skills, relevant education/training, and level of experience. The salary range displayed in each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Redapt salary ranges are determined by role, level, and location. The base salary range for this full-time position in the US is $175,000-$200,000/yr + bonuses + benefits. Ability to articulate concepts to people with a varying technical background.Experience with Azure DevOps is required. Working knowledge of DevOps processes (CI/CD) applied to data projects.Basic understanding of data science methodologies and how to apply them to solve business problems.Spark experience is preferred but not required.Proficient with at least one of the following programming languages: Python, C#, PowerShell.Knowledge of Azure snd on-premise Analysis Services, tabular and multidimensional.This includes storage, replication, server tuning, upgrading, backup/restore, security, etc. Ability to appropriately architect complex data solutions utilizing SQL Server architecture.Expert in Power BI enterprise ecosystem design and implementation.8+ years of experience with enterprise-scale data warehouse projects, RDMS Database systems, ETL Technologies, and techniques.Expert in Python and/or PySpark applied to analytics, data transformations and REST APIs.Expert knowledge and passion in most of the following technologies: Synapse, Purview, Azure Data Lake, Data Factory, Databricks, Data Warehouse Modeling, Power BI, Azure IoT.Anticipate the impact of new technologies and frameworks and help create compelling data offerings to our clients.Train the Azure data consulting team on best practices and new technology initiatives.Provide support for project managers through developing tasks, estimates, and dependencies to meet expectations.Help with planning and staffing for data projects.Manage full project delivery cycles, end-to-end, for high potential clients. ![]() This role will be directly involved in the business development process, delivering customer demos to show the value of how data can drive business goals.Mentor junior consultants with project work and career progression.Drive growth through business development, resourcing, & quality delivery.Lead Microsoft data analytics projects from architecture design to exceptional implementation.The role will also be responsible for mentoring and providing technical leadership to our world-class consulting team. This position will be responsible for pre-sales support, leading customer conversations, creating project architecture, leading delivery, and creating project scope of work documents. The ideal candidate would have deep experience in designing analytics, business intelligence, data warehousing, IoT and reporting solutions utilizing modern Azure data products like Data Lake, Synapse, Databricks, Data Factory, Stream Analytics IoT Hub, and Power BI. We are looking for a versatile Microsoft Azure Architect who can lead, sell, design, and implement cloud-based modern architecture for a diverse set of customers and industries. If you love leading a team helping customers solve complex problems related to Business Intelligence, Advanced Analytics, and Data Science, we’d like to hear from you! We solve complex business problems, align stakeholders, develop a client’s data DNA, and deliver rapid ROI. Working at Redapt means being a part of a fantastic team, working with the latest technologies, and having a direct impact on project success. Redapt’s Performance Analytics Advisory Teams team is responsible for providing data-driven insights, strategic recommendations, and solutions to help clients make informed decisions and optimize their business processes. ![]()
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