Job Description

Data Ideology

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  

Senior Data Engineer

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.

Key Responsibilities

To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs.

• 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.

Supervisory Responsibilities: None

Qualifications

Education and Experience:

• 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

Work Environment: 

• Remote-first role with a limited hybrid requirement . Candidates must be able to attend occasional in-person meetings or client sessions as needed (approximately once per quarter ). Minimal travel required.
• Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. 

Physical Demands: 

• Must be able to remain in a stationary position 50% of the time. 
• The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. 
• Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. 
• The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.

• PTO Policy
• Eligibility for Health Benefits
• Retirement Plan
• Work from Home

Data Ideology is an EEO Employer 

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