Akumin
Senior Data Engineer
Remote Data Engineering role with clear candidate location fit.
PostedJul 4, 2026
Eligible countries2 accepted countries
Seniority signalSenior
Work settingRemote
Accepted candidate locations
Puerto RicoUSA
Role overview
Senior Data Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Specific duties include, but are not limited to:
- 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.
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%.
Position 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.
Similar roles
Keep a backup shortlist.
Stack
Use these tags to compare similar remote roles.
Location eligibility
Candidates should apply only when their profile country is listed here.
Your profileCountry not setSign in to check your country against this role.
Hiring flow
WithMira shows the role, then sends candidates to the company application.
1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.