Senior Data Engineer

Akkodis; Orlando (FL); On-site; USD 96,432 - 110,208; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision insurance

401K plan

Paid Sick Leave

Job summary

A leading IT consulting firm is seeking a Senior Data Engineer for a contract position in Orlando, FL. This role involves planning advanced analytic data solutions and working closely with business leaders to deliver data pipelines. The ideal candidate should possess extensive experience in data engineering, specifically with AWS, Snowflake, and container technologies like Docker. A BA/BS degree in Computer Science or a related field is required, with a pay range of $70 to $80 per hour.

Qualifications

• 7+ years of experience in data engineering development.
• 3+ years using and designing relational databases like Snowflake.
• Experience with ELT/ETL data pipeline development.

Responsibilities

• Plan and lead R&D for advanced analytic data solutions.
• Work with business and technology leaders on data requirements.
• Design and deliver data pipelines for analytics projects.

Skills

Data Engineering

AWS

Snowflake

Airflow

ETL

SQL

Gen AI

Education

BA/BS Degree in Computer Science/Information Systems or related field

Tools

GitLab

GitHub

Docker

Kubernetes

Job description

Overview

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.

Qualifications

Basic Qualifications

Required Qualifications & Skills

• 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
• Experience translating project scope and high-level requirements into technical data engineering tasks
• Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes
• Experience with a variety of GenAI models, tools, and concepts
• Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms
• 3+ years using, designing, and building relational databases (preferably Snowflake or PostgreSQL)
• 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub
• 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners, or UC4
• Experience collaborating with multiple project teams in a fast-paced environment
• Experience with defining and estimating level-of-effort data engineering activities
• Experience with project and sprint planning
• Ability to communicate technical concepts and solutions to non-technical team members
• Experience designing and building data structures to support requirements
• Multiple years of experience with ELT/ETL data pipeline development and maintenance
• Multiple years of experience and expertise using SQL and Python
• Experience using containerization technologies such as Docker or Kubernetes
• Knowledgeable on cloud architecture and product offerings, preferably AWS

Preferred Qualifications

• Experience collaborating with multiple project teams in a fast-paced environment
• Experience with defining and estimating level-of-effort data engineering activities
• Experience with project and sprint planning
• Ability to communicate technical concepts and solutions to non-technical team members
• Experience designing and building data structures to support requirements
• Multiple years of experience with ELT/ETL data pipeline development and maintenance
• Multiple years of experience and expertise using SQL and Python
• Experience using containerization technologies such as Docker or Kubernetes
• Knowledgeable on cloud architecture and product offerings, preferably AWS

Required Education

• BA/BS Degree Comp Sci/IS or related field

Additional Information

• Bachelor’s degree (Computer Science, Mathematics, Software Engineering, or related field, or equivalent experience)
• Master’s 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 [e-mail].

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.