Senior Data Engineer/Analyst

Summary   

As an engineering consulting agency providing services to large enterprise organizations, Codazen is positioned to support and strongly influence the success of those organizations. As a Senior Data Engineer/Analyst at Codazen, you will partner with our customers, relevant stakeholders, data scientists, and software engineers to ensure value can be derived from data. We are seeking a highly skilled and experienced Senior Data Engineer/Analyst with a strong focus on data analysis, data forecasting, and data modeling to join our team. As a Senior Data Engineer/Analyst in this role, you will be responsible for extracting insights from complex datasets, developing accurate forecasts, building data pipelines, and designing robust data models to support data-driven decision-making. Your expertise in data analysis, statistical modeling, and data engineering will play a vital role in optimizing our data infrastructure and driving strategic business outcomes.  

  Role Responsibilities   

• Cross-functional partnership with our customers to identify and understand data needs  
• Design, develop, and deliver effective and reliable data pipelines  
• Securely source new data that can enhance and improve the quality of information  
• Proficient in developing data models that allow for efficient storage and effective retrieval  
• Evaluate the potential value and impact of data engineering projects by assessing project scope, business requirements, and strategic objectives  
• Prepare comprehensive reports, documentation, and presentations summarizing opportunity sizing analysis, findings, and recommendations
• In-depth knowledge of statistical techniques used in power analysis, such as sample size determination, effect size estimation, and power calculations  
• Develop, implement, and evaluate advanced statistical models and forecasting techniques to analyze historical data and predict future trends 
• Design and develop automation scripts and frameworks using programming languages (Python, etc.) to automate repetitive tasks
• Collect, clean, and preprocess data from various sources, ensuring data integrity and accuracy
• Provide technical leadership to members of your team through mentorship, coaching, and knowledge sharing
• This is a hybrid position, 4 days on-site, 1 day WFH; Monday through Friday based out of Irvine, CA 

  Qualifications   

• Bachelor's or Master's degree in Computer Science or related technical field 
• Proven experience as a Data Engineer, preferably with a focus on data analysis, opportunity sizing, project evaluation, and forecasting 
• Strong knowledge of data storage, processing, and integration technologies 
• Demonstrated ability in data modeling, ETL development, and data warehousing 
• Excellent communication, analytical and collaborative problem-solving skills  
• Experience building/operating highly available, distributed systems of data extraction 
• 5+ years working with SQL
• 3+ years experience with Data Modeling 
• 3+ years of relevant experience in cloud-based data engineering
• 2+ years of Python or other modern programming language experience
• 2+ years experience working with enterprise Data Engineering tools and experience learning in-house Data Engineering tools  

  Plus   

• Solid programming foundation including object-oriented programming, algorithms, and data structures  
• Experience with SQL performance tuning and end-to-end process optimization   
• Experience with anomaly/outlier detection   
• Experience with notebook-based Data Science workflow  
• Experience with Big Data Technologies (NoSQL databases, Hive, Elasticsearch, etc.)