IT Cloud Data Engineer – HVR, DBT

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🔥 4 minutes ago

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $40 - $60 / hour

⏰ Full Time

🟡 Mid-level

🟠 Senior

☁️ Cloud Engineer

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Advocate Aurora Health

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

⚕️ Healthcare Insurance

💰 $10.2M Grant on 2019-08

Healthcare • Healthcare Insurance

Advocate Aurora Health is a leading healthcare organization that operates across various regions including Central Chicagoland, Central Wisconsin, Greater Milwaukee, and more. With a diverse range of career areas such as advanced practice clinicians, behavioral health, nursing, and more, Advocate Aurora Health is committed to helping people live well. The organization offers numerous benefits and opportunities for career advancement, fostering an environment where individuals can thrive and innovate in the healthcare sector. Advocate Aurora Health prioritizes the safety of its candidates and maintains a robust recruitment process to protect sensitive information.

📋 Description

• Drive scope definition, requirements analysis, data and technical design, pipeline build, product configuration, unit testing, and production deployment • Design scalable ingestion processes to bring on-prem, API drive, 3rd party, end user generated data sources to integrate in common cloud infrastructure • Design reusable assets, components, standards, frameworks, and processes to accelerate and facilitate data integration projects • Develop data integration and transformation jobs using Python, SQL and ETL /ELT tools • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources • Build processes supporting data transformation, data structures, metadata, dependency and workload management • Develop and implement scripts for data process maintenance, monitoring, and performance tuning • Test and document data processes through data validation and verification procedures • Ensure delivered solutions meet/perform to technical and functional/non-functional requirements • Provide technical guidance and mentorship to junior engineers, ensuring best practices in data engineering

🎯 Requirements

• Bachelor's Degree in Computer Science or related field • Typically requires 5 years of experience in at least two IT disciplines, including database management, cloud engineering, data engineering and middleware technologies • 2 years of work experience with cloud platforms, including experience with data integration, performance optimization, and platform administration • Experience defining, designing, and developing solutions with data integration platforms/tools • Proven experience building and optimizing data pipelines, and data sets • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases • Must have experience in data transformation and data pipeline development using GUI based tools or programming languages like SQL and Python • Proficiency in Python and SQL for scripting and building data transformation processes is preferred • Must have experience with DevOps tool chains and processes

🏖️ Benefits

• Paid Time Off programs • Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability • Flexible Spending Accounts for eligible health care and dependent care expenses • Family benefits such as adoption assistance and paid parental leave • Defined contribution retirement plans with employer match and other financial wellness programs • Educational Assistance Program