

Akkodis
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Contract, Remote) with a pay rate of $65-$70/hr. Key skills include Snowflake, dbt, data modeling, and AWS integration. Strong experience with data transformation and medallion architecture is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
560
-
ποΈ - Date
June 30, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Yes
-
π - Location detailed
Medford, MA
-
π§ - Skills detailed
#Snowflake #dbt (data build tool) #DataOps #Terraform #Data Modeling #Kafka (Apache Kafka) #Data Engineering #Infrastructure as Code (IaC) #AWS (Amazon Web Services) #Security #GitLab #BI (Business Intelligence) #Data Mart #Data Vault #Cloud #DAC (Discretionary Access Control) #Documentation #Data Warehouse #Fivetran #Vault #IAM (Identity and Access Management) #S3 (Amazon Simple Storage Service) #Data Lake #Lambda (AWS Lambda) #"ETL (Extract #Transform #Load)" #Scala #Macros
Role description
Akkodis is seeking a Senior Data Engineer (Internal Data Platform - Snowflake + dbt) for a Contract position.
Rate Range: $65-$70/hr on W2 without benefits, The rate may be negotiable based on experience, education, geographic location, and other factors
Title: Senior Data Engineer (Internal Data Platform - Snowflake + dbt)
Job Types: Contract
Location: REMOTE
Position Summary: Weβre looking for a Senior Data Engineer to serve as the lead developer on our internal data platform team. Youβll play a central, hands-on role in building and maintaining a scalable data foundation leveraging Snowflake, dbt, and a modern medallion-style architecture.
This position is ideal for an engineer who brings strong data modeling fundamentals, practical experience with modern transformation tooling, and a desire to build high-quality, reusable data assets for analytics, operations, and administration using DataOps.
Required Qualifications
Core Technical Expertise
β’ Snowflake
β’ Practical hands-on experience designing schemas, stages, tables, streams, and tasks.
β’ Strong understanding of warehouse performance and policies, data sharing and cost-control practices.
β’ Able to perform and automate administrative tasks.
β’ Integration expertise with AWS, Fivetran, and BI Tools.
β’ dbt (Core or Cloud)
β’ Expertise in developing models, macros, tests, selectors, and documentation.
β’ Familiarity with structuring dbt projects for maintainability across multiple layers.
β’ Data Modeling
β’ Strong command of star schema and dimensional modeling techniques.
β’ Experience implementing SCDs (Types 1 & 2).
β’ Understanding of Data Marts and Data Lake architecture
β’ Medallion Architecture
β’ Hands-on experience building bronze/silver/gold layers with clear logical boundaries.
Preferred Qualifications (Nice-to-Have)
β’ Role based access (RBAC) and Discretionary access control (DAC) implementation strategies for data warehouses and data lakes
β’ Familiarity with Data Vault 2.0 (hubs, links, satellites).
β’ Experience working in an AWS environment (S3, IAM, Glue, Lambda, Step Functions, event-driven architectures).
β’ Exposure to streaming/event ingestion frameworks (Kafka, Kinesis, etc.).
β’ Strong CI/CD skillset with IaC tools such as Terraform, and Gitlab pipelines.
Benefits:
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
Β· The California Fair Chance Act
Β· Los Angeles City Fair Chance Ordinance
Β· Los Angeles County Fair Chance Ordinance for Employers
Β· San Francisco Fair Chance Ordinance
Akkodis is seeking a Senior Data Engineer (Internal Data Platform - Snowflake + dbt) for a Contract position.
Rate Range: $65-$70/hr on W2 without benefits, The rate may be negotiable based on experience, education, geographic location, and other factors
Title: Senior Data Engineer (Internal Data Platform - Snowflake + dbt)
Job Types: Contract
Location: REMOTE
Position Summary: Weβre looking for a Senior Data Engineer to serve as the lead developer on our internal data platform team. Youβll play a central, hands-on role in building and maintaining a scalable data foundation leveraging Snowflake, dbt, and a modern medallion-style architecture.
This position is ideal for an engineer who brings strong data modeling fundamentals, practical experience with modern transformation tooling, and a desire to build high-quality, reusable data assets for analytics, operations, and administration using DataOps.
Required Qualifications
Core Technical Expertise
β’ Snowflake
β’ Practical hands-on experience designing schemas, stages, tables, streams, and tasks.
β’ Strong understanding of warehouse performance and policies, data sharing and cost-control practices.
β’ Able to perform and automate administrative tasks.
β’ Integration expertise with AWS, Fivetran, and BI Tools.
β’ dbt (Core or Cloud)
β’ Expertise in developing models, macros, tests, selectors, and documentation.
β’ Familiarity with structuring dbt projects for maintainability across multiple layers.
β’ Data Modeling
β’ Strong command of star schema and dimensional modeling techniques.
β’ Experience implementing SCDs (Types 1 & 2).
β’ Understanding of Data Marts and Data Lake architecture
β’ Medallion Architecture
β’ Hands-on experience building bronze/silver/gold layers with clear logical boundaries.
Preferred Qualifications (Nice-to-Have)
β’ Role based access (RBAC) and Discretionary access control (DAC) implementation strategies for data warehouses and data lakes
β’ Familiarity with Data Vault 2.0 (hubs, links, satellites).
β’ Experience working in an AWS environment (S3, IAM, Glue, Lambda, Step Functions, event-driven architectures).
β’ Exposure to streaming/event ingestion frameworks (Kafka, Kinesis, etc.).
β’ Strong CI/CD skillset with IaC tools such as Terraform, and Gitlab pipelines.
Benefits:
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
Β· The California Fair Chance Act
Β· Los Angeles City Fair Chance Ordinance
Β· Los Angeles County Fair Chance Ordinance for Employers
Β· San Francisco Fair Chance Ordinance





