Data Ideology, LLC
Enterprise • Data Engineering • Artificial Intelligence
Data Ideology, LLC is a consulting firm specializing in data strategy, analytics, artificial intelligence, machine learning, and data engineering. The company offers solutions to maximize business outcomes through data-driven insights and strategies, providing services such as data governance, analytics and visualization, and efficient data engineering pipelines. It works with industries including healthcare, financial services, and retail, offering its expertise to enterprise, mid-market, and private equity clients. Data Ideology partners with leading technology platforms like Snowflake, Databricks, Microsoft, and Google to deliver improved data quality, eliminate data silos, and enhance security and compliance for IT teams, finance, operations, and sales and marketing functions.
Senior Data Engineer, Healthcare
November 18
Data Ideology, LLC
Enterprise • Data Engineering • Artificial Intelligence
Data Ideology, LLC is a consulting firm specializing in data strategy, analytics, artificial intelligence, machine learning, and data engineering. The company offers solutions to maximize business outcomes through data-driven insights and strategies, providing services such as data governance, analytics and visualization, and efficient data engineering pipelines. It works with industries including healthcare, financial services, and retail, offering its expertise to enterprise, mid-market, and private equity clients. Data Ideology partners with leading technology platforms like Snowflake, Databricks, Microsoft, and Google to deliver improved data quality, eliminate data silos, and enhance security and compliance for IT teams, finance, operations, and sales and marketing functions.
📋 Description
• Ability to collect and understand business requirements and translate those requirements into data models, integration strategies, and implementation plans. • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake, ensuring functionality, performance and data integrity. • Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse. • Optimize and troubleshoot ETL/ELT workflows, applying best practices for scheduling, orchestration, and performance tuning • Maintain documentation, architecture diagrams, and migration plans to support knowledge transfer and project tracking.
🎯 Requirements
• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience) • 5+ years of experience in data engineering, data warehousing, or data architecture • Expert-level experience with Snowflake, including data modeling, performance tuning, security, and migration from legacy platforms • Hands-on experience with Azure Data Factory (ADF) for building, orchestrating, and optimizing data pipelines • Strong experience with Informatica (PowerCenter and/or IICS) for ETL/ELT development, workflow management, and performance optimization • Deep knowledge of data modeling techniques (dimensional, tabular, and modern cloud-native patterns) • Proven ability to translate business requirements into scalable, high-performance data solutions • Experience designing and supporting end-to-end data pipelines across cloud and hybrid architectures • Strong proficiency in SQL and experience optimizing large-scale analytic workloads • Experience working within SDLC frameworks, CI/CD practices, and version control • Ability to lead technical work and provide code reviews • Excellent communication and documentation skills • Healthcare domain experience is a plus.
🏖️ Benefits
• PTO Policy • Eligibility for Health Benefits • Retirement Plan • Work from Home
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