Senior Data Engineer - Enterprise Data Platform (Remote)

Akumin®; Dothan (AL); On-site; USD 125,000 - 150,000; Full time

Benefits offered by this job

Competitive compensation

Flexible scheduling

Cross training opportunities

Medical, dental, and vision insurance

HSA with employer contributions

401(k) eligibility with employer match

Paid holidays

Defined PTO and sick time programs

Job summary

Akumin is seeking a Senior Data Engineer to build and scale the company's enterprise data platform. You will own data collection processes, uphold data integrity, and enable rapid access for analytics and AI across the organization.

In this role, you will design and deploy ETL/ELT pipelines, work with Python/Google tooling, and collaborate with data asset managers to ensure data quality and governance in a regulated healthcare context.

Qualifications

• Bachelor’s degree 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%.

Responsibilities

• 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.

Skills

SQL

ETL/ELT

Python

Data Governance

Data Modeling

Cloud Platforms

Agile Delivery

Analytical Skills

Education

Bachelor's degree (Data Science/CS/MIS)

Master's degree (preferred)

Tools

DBT

BigQuery

Snowflake

Google Cloud Platform (GCP)

AWS

Azure

Kafka/Hadoop/Spark

Docker

Kubernetes

Job description

Akumin is seeking a Senior Data Engineer to build and scale the company's enterprise data platform. You will own data collection processes, uphold data integrity, and enable rapid access for analytics and AI across the organization.

In this role, you will design and deploy ETL/ELT pipelines, work with Python/Google tooling, and collaborate with data asset managers to ensure data quality and governance in a regulated healthcare context.