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Akumin

Senior Data Engineer

Akumin
Ashland, NE Remote $125k - $150k/yr Full time Posted 11d ago
Senior Big Data Data Architecture Data Engineer Data Integration Data Pipeline Data Platform Data Processing Data Warehouse Database ETL SQL
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Job Description

As a Senior Data Engineer at Akumin in Ashland, NE (remote), you will help build the enterprise data platform to support analytics and AI. This role involves overseeing data storage infrastructure, third party integrations, data provisioning, and ETL/ELT tooling to enable rapid decision making.

Responsibilities

  • Develop complex SQL queries for data extraction, manipulation, reporting, and transformation technologies.
  • Design and deploy robust ETL/ELT pipelines using custom tooling (Python/Google) and off the shelf solutions with a focus on monitoring, supportability, and resource stewardship.
  • Contribute to coding standards and best practices to ensure efficient and reusable services and components.
  • Architect, implement and productionize new data models and data processes.
  • Build data pipelines that acquire, cleanse, transform, and publish data from diverse sources.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Partner with data asset managers, architects, and development leads to ensure the data provided is fit for use and aligned with architecture blueprints.
  • Identify, document, design, and implement internal process improvements.
  • Other duties as assigned by management.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, MIS, Mathematics, Engineering, or a related field.
  • 5+ years of prior experience in Data Management, ETL/ELT, or Data Warehousing.
  • Experience developing Data Quality routines for cleansing data and capturing confidence scores and mastering data management (MDM).
  • Hands-on experience designing and implementing data pipelines and ELT/ETL processes (for example, Fivetran, DBT).
  • Hands-on experience with cloud platforms (GCP, AWS, Azure) and related services (BigQuery, S3, Snowflake, etc.).
  • Strong understanding of data modeling, data integration, and data governance principles (DBT).
  • Experience working in a highly regulated domain (for example, Healthcare or Banking).
  • Strong knowledge of 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.
  • Travel may be required between 5 to 10%.

Technologies

  • SQL, Transact-SQL
  • Python, JavaScript
  • Google Cloud Platform, AWS, Azure
  • BigQuery, S3, Snowflake
  • DBT, Fivetran
  • Kafka, Hadoop, Spark
  • Docker, Kubernetes
  • 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 (e.g., Fivetran, DBT).
  • Hands-on experience with cloud platforms (GCP, AWS, Azure) and related services (BigQuery, S3, Snowflake, etc.).
  • Strong understanding of data modeling, data integration, and data governance principles (DBT).
  • Experience working in a highly regulated domain (e.g., Healthcare, Banking).
  • Strong knowledge of 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.
  • Travel may be required between 5 to 10%.

Preferred Requirements

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

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