Data Jobs in Ashland, NE

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16d ago

Senior Data Engineer

Akumin Ashland, NE 🇺🇸 Remote

Ashland, NE

16d ago

$125k - $150k/yr Full time Senior Big Data Data Architecture

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Job Description

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

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