Data Engineer

Title: Data Engineer (onsite)

Work authorization: any (candidate must be authorized to work in US)

Must-have skills: +3 y of IT exp; 1-2 y of data engineering exp; Python, SQL; Knowledge of Salesforce CRM; Salesforce CRM; data visualization tools (Tableau, PowerBI

Location: Juno Beach, FL

Estimated Duration: 4 months with possible extension​(s)

Rate: please send resumes of your consultants along with the minimum rate they will accept to take (and stay) on the job. The rate is OPEN.

PLEASE SEND LOCAL CANDIDATES ONLY (currently located in Juno Beach, FL)

Seniority on the skill/s required on this requirement: Mid.

Type: Temporary Project

Additional information: The candidate should be able to provide an ID if the interview is requested. The candidate interviewing must be the same individual who will be assigned to work with our client.

Requirements

• • Availability to work 100% at the Client's site in Juno Beach, FL (required);

• • Experience working as Data Engineer (1-2 years);

• • Experience with Python, SQL, and other programming or scripting languages;

• • Experience with Salesforce CRM, including customizing objects, profiles, roles, permissions, and workflows;

• • Bachelor's degree in computer science, Engineering, Statistics, or a related field

• Preferred:

• • Experience data visualization tools (Tableau, Power BI/etc.);

• • Experience in energy industry.

Responsibilities include but are not limited to the following

• • Engage in the creation and maintenance of data pipelines, ETL workflows, and visualization suites;

• • Leverage Python for data extraction, transformation, and loading tasks;

• • Utilize Salesforce for CRM-related data needs and operations;

• • Ensure the accuracy and integrity of data across various systems;

• • Collaborate cross-functionally with data analysts, data scientists, and business units to fulfill data needs as well as understanding the business impacts;

• • Participate in data modeling and architecture design;

• • Graph, chart, and present statistical findings for stakeholders;