Sr AWS Data Engineer
US, MD, Montgomery, Virtual, United States
Full Time Senior-level / Expert USD 137K - 167K
Solventum
Solventum is a healthcare company built from a legacy of innovation and dedicated to enabling better, smarter, safer healthcare to improve lives. Learn more.Job Description:
At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers’ toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.
We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.
The Impact You’ll Make in this Role
Solventum is seeking a highly motivated Senior Cloud Data Engineer to help shape the future of global health informatics. In this role, you’ll collaborate with cross-functional teams to design and support our Enterprise Data Mesh, enabling data-driven healthcare innovations on a global scale. You will work closely with SaaS application teams to build and maintain robust and scalable data solutions used by a wide network of healthcare providers.
Key Responsibilities
- Design and build scalable, efficient, and fault-tolerant data operations with structured and unstructured data.
- Develop, Build and maintain AWS data platform services such as S3, RDS, Aurora, Redshift, PostgreSQL, DynamoDB using cloud deployment pipeline.
- Develop, maintain and optimize robust data pipelines for performance, reliability, and scalability.
- Provide technical leadership to data engineers, fostering a culture of excellence and continuous improvement.
- Promote best practices in data engineering by mentoring internal teams on database standards, pipeline development, and efficient data usage.
- Partner with senior technical leads, analysts, engineers, and scientists to implement scalable data initiatives using AWS cloud services.
- Implement advanced data architectures for accelerated solution design, including data integration, modeling, governance, and applications.
- Collaborate with domain teams to design physical data models and data mappings.
- Implement and manage database security, including user access controls and data encryption. Ensure the protection of healthcare data by maintaining compliance with HIPAA, SOC 2, FedRAMP, and StateRAMP security standards
Qualifications:
- Bachelor’s degree (or higher) in Computer Science or a related field from an accredited institution AND Minimum 8 years of experience deploying and managing cloud data platforms on AWS.
- Extensive expertise in cloud-based data storage and processing on AWS, with deep experience in AWS S3, RDS, Aurora PostgreSQL, and MSSQL, along with strong skills in implementing data pipelines for efficient deployment and automation.
Additional qualifications that could help you succeed even further in this role include:
- Experience in scripting using Python, PySpark, Scala, and advanced SQL techniques.
- Expertise in data modeling, ETL processes, and data warehousing.
- Knowledge of cloud-native architecture and distributed computing with AWS tools like Glue, and EMR.
- Experience in data engineering, data governance, and modern data warehouse/Lakehouse architecture.
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes, Terraform).
- Familiarity with GraphQL.
- Agile development experience; proficiency with tools like JIRA and Confluence.
- Strong collaboration and communication skills.
- AWS professional certificate(s)
Work location:
- Remote
Travel: May include up to 15% domestic/international
Relocation Assistance: Not authorized
Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).
Supporting Your Well-being
Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.
Applicable to US Applicants Only:The expected compensation range for this position is $137,439 - $167,981, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-RewardsResponsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.
Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.
Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
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Tags: Agile Architecture AWS Computer Science Confluence Data governance DataOps Data pipelines Data warehouse Data Warehousing Docker DynamoDB Engineering ETL GraphQL Jira Kubernetes MS SQL Pipelines PostgreSQL Privacy PySpark Python Redshift Scala Security SQL Terraform Unstructured data
Perks/benefits: Career development Competitive pay Flex hours Health care Insurance Relocation support
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