Data Engineer - (Databricks) - 100% Remote

ContractStaffingRecruiters.com; Branford (CT); Remote; USD 80,000 - 110,000; Full time

Job summary

An established industry player is seeking a talented individual for a remote long-term contract position focused on data transformation and cloud technologies. This role involves designing and developing ETL processes to convert raw data into structured SQL databases, while leveraging expertise in Databricks and Azure SQL Server. The ideal candidate will possess strong programming skills in Python and SQL, along with the ability to manage multiple projects efficiently. Join a dynamic team where your passion for data and innovative solutions will drive impactful results in a fast-paced environment.

Qualifications

• Experience in programming languages like Python, SQL, and VB.
• Strong knowledge of big data technologies and cloud services.

Responsibilities

• Design and develop ETL processes for transforming raw data into SQL databases.
• Manage multiple projects and collaborate effectively with team members.

Skills

Databricks

Python

SQL

PLSQL

VB

Interpersonal Skills

Communication Skills

Tools

Azure SQL Server

Oracle

SQL Server

MySQL

Synapse

Job description

This is a remote long-term 1-year contract position for our client.

Requirements:

• Databricks experience is essential. We are seeking a leader passionate about Databricks who can work effectively in a fast-paced team environment.

Responsibilities:

1. Design and develop ETL processes to transform raw data, flat files, and Excel spreadsheets into SQL databases.
2. Understand data marts and data lakes, with experience in migrating legacy systems to these architectures.
3. Utilize additional cloud technologies, such as Azure SQL Server, understanding cloud service concepts.
4. Demonstrate an aptitude for learning new technologies, conducting ongoing research, analysis, and process improvements.
5. Exhibit strong interpersonal and communication skills to collaborate with team members, including customers, end users, and management.
6. Manage multiple projects, responsibilities, and priorities efficiently.

Experience Needed:

• Proficiency in programming languages and frameworks such as Python, SQL, PLSQL, and VB.
• Experience with database platforms like Oracle, SQL Server, and MySQL.
• Knowledge of big data concepts and technologies, including Synapse and Databricks.