Senior Data Engineer/Analyst

About Codazen

Want to apply technology in ways that make life more enriching? 

We think the digital experiences that make up more and more of our everyday lives should be seamless and engaging—even magical. Using our unique recipe of specialized skills and digital alchemy, we engineer experiences that help businesses engage with users, and users engage with the world. 

The source of our magic comes from our people. We continually strive to be better versions of ourselves—and have fun while doing it. If a career creating innovative experiences and digital products sounds exciting, we hope you’ll consider joining our amazing team.

Rethink Experience™

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.)

Full compensation packages are based on candidate experience and certifications.Salt Lake City Pay Range$132,000—$169,000 USD

What Codazen Offers

• Competitive salary
• Generous paid time off and sick leave
• Paid holidays
• Health, dental, vision
• 401k (with company contributi