Sr. Developer, Data Analytics

Overview

Under the supervision of the Manager of Analytics, the Senior Developer works with developers, business analysts, and business partners in a fast-paced delivery environment for data and analytics. The Senior Developer is responsible for designing, building, and optimizing enterprise-grade data pipelines, analytical data models, and machine-learning–ready datasets within our Snowflake ecosystem. This role serves as a bridge between Data Engineering, Analytics, and Data Science, enabling high-quality insight creation and data-driven innovation across the organization.

The Senior Developer has deep experience with modern cloud data platforms, advanced SQL development, data modeling, AI/ML integration, and business intelligence solutions.

• Design, build, and maintain scalable data pipelines, transformations, and models in Snowflake, ensuring performance, reliability, and optimal storage patterns.
• Collaborate closely with Analytics and Data Science teams to enable advanced analytics, experimentation frameworks, and model monitoring.
• Advanced data design, analysis, and profiling
• Understand, create and implement process design and target data models
• Partner with business stakeholders, data scientists, and analysts to translate requirements into well-governed datasets and analytical assets
• Develop, test, debug, and document data structures, data schemas, and data processes
• Address performance or data quality issues
• Data mining, auditing, aggregation, validation, and reconciliation
• Support operational excellence through monitoring, automated testing, CI/CD deployment practices, and Data Ops principles
• Agile ceremonies:
  Code reviews, Sprint Reviews/Commitments, Sprint planning

• Bachelor’s Degree in Computer Science, MIS, Mathematics or related field
• 6+ years of professional experience in data engineering in data warehouse, big data, and analytics areas
• Expertise with ETL, ELT and streaming data pipelines and related tools and technologies
• 3+ years of hands-on experience using Snowflake or other relational data stores
• Advanced experience with semi-structured document processing such as XML & JSON
• Advanced experience with programming and scripting using bash, Python, Perl, etc
• Must be knowledgeable of data warehouse concepts including the use of dimensional modeling and schema designs
• Advanced experience with performance tuning of SQL queries
• Thorough understanding of systems analysis and design, SDLC
• Ability to analyze complex applications and systems with minimal supervision
• Strong problem-solving skills
• Experience with CI/CD (Azure Dev Ops preferred), version control, and automated deployment frameworks
• Prior work in fintech, risk analytics, consumer lending, or highly regulated environments is strongly preferred

• Ability to effectively communicate with business users to understand business processes
• Highly Proficient in analyzing business objectives and requirements
• Skills in design and development of efficient data integration solutions
• Ability to design and maintain scalable data architectures that support analytics, operational insights, and machine learning
• Experience with data integration tools such as Informatica, Matillion, Streamsets, or similar tools
• Highly proficient in SQL
• Ability to analyze business and system processes to support solution development
• Understanding and ability to manage through an enterprise-wide project/solution impacts, issues, and risks
• Ability to manage across company teams to ensure collaboration in support of high-quality solutions
• Familiarity with AI/LLM integration patterns (feature engineering, inference pipelines, embeddings, and ML frameworks)
• Strong verbal and written communication and presentation skills
• Advanced experience with Visio and related design/flow tools. Fluent with Microsoft Excel, Word, and Outlook. Medium skill level with MS Project.
• Comfortable in a fast-paced and cutting-edge development environment

Equal Opportunity Employer

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