Thanks for your interest. Please apply for further information. Term-Full Time Location–Customer is in Denver area–This is a mainly remote role for those close to the Denver area $-Salary is open for this position and depends on experience, with base salaries ranging from $85, 000 to $140, 000 per year + potential for bonus. Vertical–Services. Open to mid to approaching senior/stand alone resource Please note that this role is open to remote candidates provided that they lives relatively close to Denver CO. Customer needs team members that excel when working directly with clients to meet their goals. They understand the client’s needs and requirements and build a collaborative environment to ensure a successful project delivery. Data Engineers analyze and develop on-premises and/or cloud data and ETL solutions to solve the client’s challenges. They enjoy the challenges of consulting and thrive to knock the socks off of clients Please note that this role is vendor agnostic in regards to what ETL tools are used, so having multi vendor experience would be ideal. Responsibilities: Hands-on development and serve as technical expert on projects Develop data solutions leveraging traditional and cloud product offerings from leading vendors Develop data models to meet client needs Develop data models to meet client needs, including transactional, third-normal form, dimensional, columnar, distributed and NoSQL Develop ETL/ELT processes and patterns to efficiently move data Create data visualizations, dashboards and reports as needed Data migrations and conversions to the cloud and to cloud data warehouse services Develop and scope requirements Travel as needed (currently less than 5%) Maintain effective communication with team and customers Qualifications 2+ years designing and developing data analytics solutions 2+ years with databases such as SQL Server, Oracle, MySQL 2+ years data warehouse, dimensional modeling design and architecture Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery A passion to learn and improve your skills to deliver the best possible solutions to customers Experience with cloud based data services offered by Azure, AWS and Google Experience with data visualization tools such as Power BI and Tableau Previous consulting experience preferred Degree in computer science, information technology, engineering or business #J-18808-Ljbffr
Tableau data-warehouse Amazon Web Services (AWS) Amazon Redshift azure-synapse Computer Science Data Engineering Azure dimensional-modeling snowflake-cloud-data-platform cloud-computing Information technology (IT) SQL Google ETL google-bigquery Engineering NoSQL business Power BI