Senior Data Engineer

Akumin is seeking a Senior Data Engineer to build out the enterprise data platform that underpins analytics and AI initiatives. This role, based in Ashland, Nebraska with remote work options, oversees data storage infrastructure, third-party integrations, data provisioning, and ETL/ELT tooling to enable rapid access to insights for decision-making. The position offers a salary range of USD 125,000 to 150,000 per year.

Responsibilities

• Development of complex SQL queries for data extraction, manipulation, 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%

Technologies

• SQL
• Transact-SQL
• Python
• JavaScript
• Google
• GCP
• AWS
• Azure
• BigQuery
• S3
• Snowflake
• DBT
• Fivetran
• Kafka
• Hadoop
• Spark
• Docker
• Kubernates
• FHIR

Position 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%

Preferred Requirements

• Master's degree in Data Science, Computer Science or MIS, Mathematics, Engineering, or related field
• DBT Certification
• Data Modeling experience preferred
• Experience working with Clinical Data and Regulatory Governance in a Healthcare setting
• Experience Healthcare data models, datasets, and source systems (e.g. EHR, claims, DICOM images, labs, etc.)
• Experience with healthcare reference data (ICD, CPT etc.)
• Experience with big data technologies (ex.Kafka, Hadoop, Spark) and containerization (ex. Docker, Kubernates)
• Experience with FHIR and FHIR store formats and data repositories
• Hands-on design and configuration experience with cloud services Google (related to data storage and processing)
• Data Governance Principles and enterprise frameworks (Warehousing, Data-as-a-Product, MESH, MDM)
• Knowledge of HIPAA; ability to implement systems and processes in accordance with regulations