Associate Data Engineer - Remote

At the American Cancer Society, we're leading the fight for a world without cancer. Our employees and 1.5 million volunteers are raising the bar every single day. We actively seek candidates from diverse backgrounds including communities of color, the LGBTQ community, veterans, and people with disabilities. The greater the diversity of our people, the better we can serve our communities.

Position Description

JOB SUMMARY

American Cancer Society (ACS) is seeking a passionate data individual on the fight against cancer. This position sits within the Digital Solution’s Discovery Data Science team, where we work with a wide range of data sources and types from research grants, Salesforce, survey data, and genomics data. The associate data engineer will be working in tandem with our lead data engineer to continue to develop and implement a modern data pipeline for ACS.

MAJOR RESPONSIBILITIES

• Work with our analytics engineer and business intelligence analyst to build out best in class data models for data visualization.
• Define and execute database and data movement standards, design reviews, pipeline CI/CD process, and data container policies to ensure high quality data management
• Complete data integration from a multitude of sources into our cloud infrastructure.
• Collaborate closely with data governance to identify gaps in documentation and standards
• Document the architecture and solutions for business continuity.

Position Requirements

FORMAL KNOWLEDGE

Bachelor’s degree in Computer Science, Engineering, or equivalent experience. Two or more years of relevant work experience.

SKILLS

Required Qualifications:

• Expertise with SQL, YAML
• Experience with workflow orchestration (Prefect.io, Airflow. Etc.)
• 2+ years of building a modern data pipeline, including the ETL, cloud-storage, reporting, and deployment
• 2+ years of experience with python
• Experience with cloud services such as, Azure Cloud, AWS, Google Cloud
• Experience with Git – Azure DevOps, GitHub, Gitlab, etc.

Preferred Qualifications:

• Experience with healthcare data, such as claims, electronic health records, biospecimen, medical imaging, genomic data.
• Exposure to BI tools such as PowerBI, Tableau, Looker.
• Ability to understand the data needs of researchers, such as epidemiologist and cancer researchers, guiding them to the best practices for their data.
• Snowflake experience, particularly data integration from multiple sources.

SPECIALIZED TRAINING OR KNOWLEDGE

Proven experience in data engineering for a modern data pipeline.