Senior Data Engineer (Healthcare) at Data Ideology

Data IdeologyAt 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 more information about Data Ideology Senior Data EngineerWe are looking for a Senior Data Engineerto 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 ResponsibilitiesTo 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 tuningMaintain documentation architecture diagrams and migration plans to support knowledge transfer and project tracking.Supervisory Responsibilities: NoneQualificationsEducation and Experience:Bachelors degree in Computer Science Information Systems or a related field (or equivalent experience)5 years of experience in data engineering data warehousing or data architectureExpert-level experience with Snowflake including data modeling performance tuning security and migration from legacy platformsHands-on experience with Azure Data Factory (ADF) for building orchestrating and optimizing data pipelinesStrong experience with Informatica (PowerCenter and/or IICS) for ETL/ELT development workflow management and performance optimizationDeep knowledge of data modeling techniques (dimensional tabular and modern cloud-native patterns)Proven ability to translate business requirements into scalable high-performance data solutionsExperience designing and supporting end-to-end data pipelines across cloud and hybrid architecturesStrong proficiency in SQL and experience optimizing large-scale analytic workloadsExperience working within SDLC frameworks CI/CD practices and version controlAbility to lead technical work and provide code reviewsExcellent communication and documentation skillsHealthcare domain experience is a plusWork 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.Benefits:PTO PolicyEligibility for Health BenefitsRetirement PlanWork from HomeData Ideology is an EEO Employer Required Experience:Senior IC Key Skills Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala Employment Type : Full-Time Experience: years Vacancy: 1