Senior Data Engineer (Healthcare)

Data Ideology•Pittsburgh, PA

12d•Remote

About The Position

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. For more information about Data Ideology, visit www.dataideology.com We are looking for a Senior Data Engineer to join our growing Quality Engineering team. The Senior Data Engineer will leverage their business and technical knowledge to develop production-ready data models by integrating multiple data sources while working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle.

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

Nice To Haves

Healthcare domain experience is a plus

Responsibilities

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.