Senior Data Engineer

Cooperative Computing (CC):  We accelerate growth minded companies into the automated economy. 

The business market is in rapid change, with consumer behavior placing significantly high expectations on businesses at every phase in the client experience.  Each day, we experience a company dramatically shifting “industry norms” and in many cases, removing historical market leaders from their market leading position.  These elements create extraordinary opportunities for our team members to excel.    

CC delivers superior client experiences as the premier digital enabler of growth minded enterprises enabling their rapid growth and ensuring their sustainable and smooth transition into the Automated Economy.  

Our team is passionate in delivering client value and is fanatical in how we go about ensuring we deliver extraordinary business results for our clients.  We are committed to growing as individuals first, becoming the best version of ourselves in who we have been created to be.  We take responsibility in our thoughts and actions, know our purpose and our end in mind and put these first in our lives. 

• Be Fanatical and Passionate Delivering Superior Client Experiences - It’s who we are!  
• Growth is Contagious - I grow, You grow, We all grow!  
• Be Innovative - Looking at tomorrow today. We live outside our comfort zone; we ask difficult questions of ourselves; we take risks, and we are fearless to experiment and lead the way forward  
• Show Empathy & Be Honest - Every single word spoken, or action performed for our Customers, Team Members, Partners & Stakeholders will be filled with kindness, candor and honesty  
• High Performance - It’s not for everyone - Our culture is our team members. We make the lives of our fellow team members better by first recognizing “I” am a team member first. We measure our progress constantly to be a better version of ourselves with every new day 

The Role: 

To advance our mission of inspiring greatness and transforming the lives of others, our Senior Data Engineer will play a pivotal role in designing, implementing, and optimizing data pipelines to support data-driven decision-making and business growth. Leveraging your technical expertise, you'll collaborate with cross-functional teams to create efficient data architectures, automate processes, and develop analytics tools that provide valuable insights. Your experience in data engineering, database design, and business intelligence will contribute to enhancing operational efficiency, customer acquisition, and overall business performance. 

Capabilities (Key Behaviors): 

The Senior Data Engineer is expected to have: 

• Bachelor's degree in data science, computer science, or a related field. 
• Technical expertise in data models, data mining, and segmentation techniques. 
• 2+ years of experience in a programming language, preferably Python. 
• 8+ years of experience with advanced SQL/MySQL/Snowflake/PostgreSQL database design and T-SQL. 
• 6+ years of experience in Business Intelligence and data visualization tools such as Tableau, Microsoft Power BI, or Looker. 
• Advanced working knowledge of SQL/MySQL/Snowflake/PostgreSQL and experience with relational databases and query authoring. 
• Passion for data analytics and fast learning ability. 
• Strong communication skills for client meetings. 
• Experience in Machine Learning is a big plus. 
• Ability to work independently, solve problems, and learn quickly as part of an agile team. 
• Create and maintain efficient data pipeline architectures that support data processing and analysis. 
• Assemble large, complex data sets that meet both functional and non-functional business requirements. 
• Identify and implement process improvements, automate manual processes, and optimize data delivery. 
• Build infrastructure for optimal data extraction, transformation, and loading from diverse data sources using Advanced SQL and AWS 'big data' technologies. 
• Develop analytics tools that leverage data pipelines to provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics. 
• Collaborate with cross-functional teams including Executive, Product, Data, and Design to address data-related technical issues and support data infrastructure needs. 
   

Results: 

By leveraging these capabilities, the Senior Data Engineer will aim to achieve: 

• Design and maintain data pipelines that ensure smooth data processing and analysis. 
• Assemble high-quality, comprehensive data sets to meet diverse business requirements. 
• Drive internal process improvements, automation, and data delivery optimization. 
• Build robust infrastructure for data extraction, transformation, and loading from a variety of data sources. 
• Develop analytics tools that enable data-driven decision-making and provide valuable insights. 
• Assist cross-functional teams with data-related technical challenges and support data infrastructure needs. 
• Apply advanced database design techniques to ensure efficient and scalable data storage. 
• Utilize Business Intelligence tools to create meaningful data visualizations for stakeholders. 
• Enable teams to make informed decisions through access to accurate and actionable data. 
• Address data-related challenges and technical issues in a timely and effective manner. 
• Optimize data query performance for relational databases using SQL. 
• Stay up to date with emerging data engineering technologies and techniques. 
• Provide reliable data engineering support, ensuring data availability and accuracy. 
• Collaborate effectively with colleagues to drive agile development and project success. 
• Contribute to the generation of valuable insights that drive business growth and improvement.