

Akkodis
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a contract basis in Orlando, FL, for 6 months, paying $70-$80/hr. Candidates must have 7+ years in data engineering, expertise in AWS, Snowflake, Airflow, ETL, SQL, and Gen AI.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
640
-
ποΈ - Date
February 4, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
Orlando, FL
-
π§ - Skills detailed
#Databases #Python #AWS (Amazon Web Services) #AI (Artificial Intelligence) #Snowflake #Data Pipeline #Knowledge Graph #Data Engineering #GitHub #DevOps #SQL (Structured Query Language) #PostgreSQL #Deployment #Mathematics #Docker #Kubernetes #Airflow #"ETL (Extract #Transform #Load)" #GitLab #Cloud #Computer Science #Apache Airflow
Role description
Akkodis is seeking a Senior Data Engineer for a Contract position with a client located in Orlando, FL (Onsite 4 days a week).
Pay Range: $70/hr - $80/hr, The rate may be negotiable based on experience, education, geographic location, and other factors
Need local or nearby candidates only. W2 candidates only, NO C2C!!!
Must have Data Engineering, AWS, Snowflake, Airflow, ETL, SQL, and Gen AI.
Job Description:
What You Will Do
You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout, and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders.
Basic Qualifications
Required Qualifications & Skills
β’ 7+ years of overall experience in a data engineering development capacity using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion
β’ Experience translating project scope and high-level requirements into technical data engineering tasks
β’ Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes
β’ Experience with a variety of GenAI models, tools, and concepts
β’ Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms
β’ 3+ years using, designing, and building relational databases (preferably Snowflake or PostgreSQL)
β’ 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub
β’ 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners, or UC4
β’ Experience collaborating with multiple project teams in a fast-paced environment
β’ Experience with defining and estimating level-of-effort data engineering activities
β’ Experience with project and sprint planning
β’ Ability to communicate technical concepts and solutions to non-technical team members
β’ Experience designing and building data structures to support requirements
β’ Multiple years of experience with ELT/ETL data pipeline development and maintenance
β’ Multiple years of experience and expertise using SQL and Python
β’ Experience using containerization technologies such as Docker or Kubernetes
β’ Knowledgeable on cloud architecture and product offerings, preferably AWS
Preferred Qualifications
β’ Experience collaborating with multiple project teams in a fast-paced environment
β’ Experience with defining and estimating level-of-effort data engineering activities
β’ Experience with project and sprint planning
β’ Ability to communicate technical concepts and solutions to non-technical team members
β’ Experience designing and building data structures to support requirements
β’ Multiple years of experience with ELT/ETL data pipeline development and maintenance
β’ Multiple years of experience and expertise using SQL and Python
β’ Experience using containerization technologies such as Docker or Kubernetes
β’ Knowledgeable on cloud architecture and product offerings, preferably AWS
Required Education
β’ BA/BS Degree Comp Sci/IS or related field
Preferred Education
Additional Information
β’ Bachelorβs degree (Computer Science, Mathematics, Software Engineering, or related field, or equivalent experience)
β’ Masterβs degree preferred (Computer Science, Mathematics, Engineering, or related field preferred
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Anirudh Srivastava at 610-227-6773 or anirudh.srivastava@akkodisgroup.com.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.
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.
Akkodis is seeking a Senior Data Engineer for a Contract position with a client located in Orlando, FL (Onsite 4 days a week).
Pay Range: $70/hr - $80/hr, The rate may be negotiable based on experience, education, geographic location, and other factors
Need local or nearby candidates only. W2 candidates only, NO C2C!!!
Must have Data Engineering, AWS, Snowflake, Airflow, ETL, SQL, and Gen AI.
Job Description:
What You Will Do
You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout, and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders.
Basic Qualifications
Required Qualifications & Skills
β’ 7+ years of overall experience in a data engineering development capacity using multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion
β’ Experience translating project scope and high-level requirements into technical data engineering tasks
β’ Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes
β’ Experience with a variety of GenAI models, tools, and concepts
β’ Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms
β’ 3+ years using, designing, and building relational databases (preferably Snowflake or PostgreSQL)
β’ 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub
β’ 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners, or UC4
β’ Experience collaborating with multiple project teams in a fast-paced environment
β’ Experience with defining and estimating level-of-effort data engineering activities
β’ Experience with project and sprint planning
β’ Ability to communicate technical concepts and solutions to non-technical team members
β’ Experience designing and building data structures to support requirements
β’ Multiple years of experience with ELT/ETL data pipeline development and maintenance
β’ Multiple years of experience and expertise using SQL and Python
β’ Experience using containerization technologies such as Docker or Kubernetes
β’ Knowledgeable on cloud architecture and product offerings, preferably AWS
Preferred Qualifications
β’ Experience collaborating with multiple project teams in a fast-paced environment
β’ Experience with defining and estimating level-of-effort data engineering activities
β’ Experience with project and sprint planning
β’ Ability to communicate technical concepts and solutions to non-technical team members
β’ Experience designing and building data structures to support requirements
β’ Multiple years of experience with ELT/ETL data pipeline development and maintenance
β’ Multiple years of experience and expertise using SQL and Python
β’ Experience using containerization technologies such as Docker or Kubernetes
β’ Knowledgeable on cloud architecture and product offerings, preferably AWS
Required Education
β’ BA/BS Degree Comp Sci/IS or related field
Preferred Education
Additional Information
β’ Bachelorβs degree (Computer Science, Mathematics, Software Engineering, or related field, or equivalent experience)
β’ Masterβs degree preferred (Computer Science, Mathematics, Engineering, or related field preferred
If you are interested in this role, then please click APPLY NOW. For other opportunities available at Akkodis, or any questions, please contact Anirudh Srivastava at 610-227-6773 or anirudh.srivastava@akkodisgroup.com.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits, and a 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State, or local law; and Holiday pay upon meeting eligibility criteria.
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.






