SynapOne
Analytical Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Analytics Engineer (Contractor) with a remote location, offering a competitive pay rate. Requires 5+ years in analytics engineering, 3+ years in healthcare data, expert SQL and dbt experience, and familiarity with AWS and cloud data warehouses.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 2, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#dbt (data build tool) #Data Transformations #Scala #BI (Business Intelligence) #GIT #Data Engineering #Datasets #Data Quality #Documentation #AWS (Amazon Web Services) #Data Warehouse #Data Modeling #"ETL (Extract #Transform #Load)" #Tableau #Airflow #Redshift #Kafka (Apache Kafka) #BigQuery #SQL (Structured Query Language) #Snowflake #Cloud
Role description
Senior Analytics Engineer, Data Platform - Contractor
Location :-Remote
About the Role We’re looking for a Senior Analytics Engineer who brings deep expertise in data modeling, transformation design, and analytics-focused engineering. In this role, you’ll build and optimize the semantic and transformation layers that power analytics across the organization. You’ll architect dbt models, implement data quality frameworks, standardize metrics, and improve the discoverability and reliability of our analytics ecosystem. You’ll partner closely with data engineers, analysts, product, and platform teams to elevate how the company uses and trusts data. Key Responsibilities
● Build and optimize dbt models, dimensional structures, and semantic layers.
● Develop high-quality SQL transformations and reusable analytics datasets.
● Implement data tests, validation frameworks, and lineage visibility.
● Collaborate with data engineers and analysts to productionize pipelines.
● Document models, metrics, and business logic for cross-team use.
Qualifications Required:
● 5+ years of experience in analytics engineering, BI engineering, or data engineering working with AWS.
● 3+ years of experience in healthcare particularly demonstrated experience with processing healthcare data
● Expert SQL and production-grade dbt experience (core or Cloud) for building modular, tested, and scalable transformation pipelines.
● Strong data modeling skills including dimensional modeling, semantic layer design, and standardized metric definitions.
● Hands-on experience with a major cloud data warehouse (Snowflake, BigQuery, Redshift, etc.) and understanding of performance optimization.
● Familiarity with orchestration tools (Airflow, Dagster, Prefect) for scheduling and operationalizing data transformations.
● Solid engineering fundamentals including Git, CI/CD pipelines, testing, and documentation in a modern software development workflow.
● Proven cross-functional collaboration with analysts, data engineers, and product teams to translate business needs into scalable data models.
Preferred/Nice to have:
● Experience building internal developer platforms or data portals
● Exposure to Kafka, catalogs, or lineage tools
● Experience with Tableau
Senior Analytics Engineer, Data Platform - Contractor
Location :-Remote
About the Role We’re looking for a Senior Analytics Engineer who brings deep expertise in data modeling, transformation design, and analytics-focused engineering. In this role, you’ll build and optimize the semantic and transformation layers that power analytics across the organization. You’ll architect dbt models, implement data quality frameworks, standardize metrics, and improve the discoverability and reliability of our analytics ecosystem. You’ll partner closely with data engineers, analysts, product, and platform teams to elevate how the company uses and trusts data. Key Responsibilities
● Build and optimize dbt models, dimensional structures, and semantic layers.
● Develop high-quality SQL transformations and reusable analytics datasets.
● Implement data tests, validation frameworks, and lineage visibility.
● Collaborate with data engineers and analysts to productionize pipelines.
● Document models, metrics, and business logic for cross-team use.
Qualifications Required:
● 5+ years of experience in analytics engineering, BI engineering, or data engineering working with AWS.
● 3+ years of experience in healthcare particularly demonstrated experience with processing healthcare data
● Expert SQL and production-grade dbt experience (core or Cloud) for building modular, tested, and scalable transformation pipelines.
● Strong data modeling skills including dimensional modeling, semantic layer design, and standardized metric definitions.
● Hands-on experience with a major cloud data warehouse (Snowflake, BigQuery, Redshift, etc.) and understanding of performance optimization.
● Familiarity with orchestration tools (Airflow, Dagster, Prefect) for scheduling and operationalizing data transformations.
● Solid engineering fundamentals including Git, CI/CD pipelines, testing, and documentation in a modern software development workflow.
● Proven cross-functional collaboration with analysts, data engineers, and product teams to translate business needs into scalable data models.
Preferred/Nice to have:
● Experience building internal developer platforms or data portals
● Exposure to Kafka, catalogs, or lineage tools
● Experience with Tableau
