Senior Data Engineer

🕒 June 12

🌵 Arizona, Florida, +3 more states – Remote

🌵 Arizona – Remote 🐊 Florida – Remote 🌾 Iowa – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote

💵 $125k - $150k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 35%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Akumin®

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

⚕️ Healthcare Insurance

💊 Pharmaceuticals

Healthcare • Healthcare Insurance • Pharmaceuticals

Akumin is a leading provider of outpatient radiology and oncology services, offering a broad range of diagnostic imaging and radiation therapy solutions. The company collaborates with health systems, hospitals, and physician groups to deliver high-quality, accessible care tailored to meet patients' specific needs. Akumin is committed to operational excellence and patient-centered care, with services designed to improve outcomes and foster community well-being across the country. Their offerings include innovative imaging technologies and comprehensive cancer care, ensuring that medical professionals and patients have access to state-of-the-art facilities and expertise.

📋 Description

• Development of complex SQL queries for data extraction, manipulation, and reporting and transformation technologies • Design and implement robust ETL/ELT pipelines using custom-tooling (Python/Google) and off-the shelf tooling with focus on monitoring, supportability, and resource stewardship. • Contribute to and leverage coding standards and best practices to ensure efficient and re-usable services and components. • Architect, implement and deploy new data models and data processes in production • Builds data pipelines which acquire, cleanse, transform and publish data from a wide variety of sources. • Assembles large, complex data sets which meets functional and non-functional business requirements. • Partners with data asset managers, architects, and development leads to ensure technical solution provides data which is fit for use and in line with architecture blueprints. • Identify, document, design, and implement internal process improvements. • Other duties as assigned by management.

🎯 Requirements

• Bachelor’s degree required in Data Science, Computer Science or MIS, Mathematics, Engineering, or related field. • 5+ years of prior experience in Data Management / ETL / ELT / Data Warehousing. • Experience in writing Data Quality routines for cleansing of data and capturing confidence score and master data management (MDM). • Hands-on experience with designing and implementing data pipelines and ELT/ETL processes (ex. Fivetran, DBT). • Hands-on experience with cloud platforms (ex.GCP, AWS, Azure) and related services (ex. BigQuery, S3, Snowflake, etc.). • Strong understanding of data modeling, data integration, and data governance principles (ex. DBT). • Experience working in a highly regulated domain (ex. Healthcare, Banking, etc. • Strong knowledge of Structured Query Language (SQL) and Transact-SQL (T-SQL). • Experience using scripting languages such as JavaScript or Python. • Experience with agile delivery methodologies. • Strong organizational, administrative, and analytical skills required. • Travel may be required between 5 to 10%.