Astro Studios, Inc.
We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity.
Our diverse teams of experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results.
We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.
Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands.
Your day to day
We’re an innovation and transformation consultancy that believes in the power of ingenuity to build a positive-human future in a technology-driven world. Our diverse teams of experts combine innovative thinking with breakthrough-technologies to progress further, faster.
Are you ready to harness the power of data to drive advancements in healthcare? Are you passionate about designing, building, and maintaining data infrastructure that plays a pivotal role in improving patient outcomes and shaping the future of medicine? If you're seeking a rewarding career at the intersection of healthcare and technology, we invite you to be part of our dynamic team. This is a unique, multi-year, project-based opportunity to build and grow a clinical data registry platform over many years working with a dedicated team of collaborators and customers. As a Data Engineer for our cutting-edge medical data registry, you'll be at the forefront of managing, optimizing, and expanding our data infrastructure, enabling critical insights that can positively impact patient outcomes.
Responsibilities
Building and managing fully automated data pipelines (ETL, ELT, ELTL) including designing and building data interfaces to source systems, combining and transforming data into the appropriate format for storage, developing data sets for analytics purposes, and developing pipelines that can handle common issues/errors in a robust and automated way. Qualifications
Applicants must be authorized to work for any employer in the U.S.
The salary range for this role is between $80,000 - $100,000. 2-4 years of industry working experience Advanced SQL and Python Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardizing, and serving billions of data rows spanning diverse datasets ranging from tens to hundreds Experience building dynamic, metadata driven pipelines and analyses Cloud experience in Azure, AWS or GCP Preferred qualifications: Spark / PySpark experience highly preferable Working in Agile and DevOps environments Basic Python, Bash, or PowerShell for automation Data visualisation in Power BI, Tableau, Qlik or similar Architecting Data Platforms - designing BI/MI/Analytics solutions using Big Data, Relational or Streaming technologies One or more of the following certifications:
Microsoft Certified: Azure Data Engineer Associate AWS Certified Data Analytics - Specialty GCP Professional Data Engineers
Benefits
Group medical insurance, Health Savings Account with company match, Teladoc and informed Nurse line resources, Long term care plan, Vision plan, 401(k) Savings Plan with company profit sharing contribution, Commuter and Parking tax-savings benefit, 15 days paid vacation days with the opportunity to buy five additional days, Company and Voluntary income protection benefits. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. We believe diversity fuels ingenuity and are dedicated to supporting the physical, emotional, social and financial well-being of our people.
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Building and managing fully automated data pipelines (ETL, ELT, ELTL) including designing and building data interfaces to source systems, combining and transforming data into the appropriate format for storage, developing data sets for analytics purposes, and developing pipelines that can handle common issues/errors in a robust and automated way. Qualifications
Applicants must be authorized to work for any employer in the U.S.
The salary range for this role is between $80,000 - $100,000. 2-4 years of industry working experience Advanced SQL and Python Expertise in the design and construction of Big Data Lakes and Data Warehouses capable of ingesting, standardizing, and serving billions of data rows spanning diverse datasets ranging from tens to hundreds Experience building dynamic, metadata driven pipelines and analyses Cloud experience in Azure, AWS or GCP Preferred qualifications: Spark / PySpark experience highly preferable Working in Agile and DevOps environments Basic Python, Bash, or PowerShell for automation Data visualisation in Power BI, Tableau, Qlik or similar Architecting Data Platforms - designing BI/MI/Analytics solutions using Big Data, Relational or Streaming technologies One or more of the following certifications:
Microsoft Certified: Azure Data Engineer Associate AWS Certified Data Analytics - Specialty GCP Professional Data Engineers
Benefits
Group medical insurance, Health Savings Account with company match, Teladoc and informed Nurse line resources, Long term care plan, Vision plan, 401(k) Savings Plan with company profit sharing contribution, Commuter and Parking tax-savings benefit, 15 days paid vacation days with the opportunity to buy five additional days, Company and Voluntary income protection benefits. Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week. We believe diversity fuels ingenuity and are dedicated to supporting the physical, emotional, social and financial well-being of our people.
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