Remote Cloud Data Engineer (Mid-Level) - (25031301)

Description:

• We are looking for a Mid-Level Data Engineer, preferably with experience in Google Cloud Platform (GCP), to join a dynamic team focused on building and optimizing data pipelines in a cloud-based environment.
• The role involves ingesting and processing large datasets, ensuring efficient data flow between systems, and collaborating with cross-functional teams.
• The ideal candidate should be technically proficient, communicative, and comfortable working with both developers and business stakeholders.
• This is a fully remote, long-term contract opportunity with competitive hourly compensation ranging from $55 to $60 per hour, plus benefits.
• There is a strong pathway for future growth and the potential for permanent hire based on business needs and performance.

Requirements:

• Candidates must have a degree in Computer Science, Data Science, or a related field.
• A minimum of 3 years of experience in data engineering, preferably within a large enterprise environment, is required.
• Advanced expertise in SQL, including advanced functions such as ranking functions, is necessary.
• Experience with Google Cloud Platform (GCP) and all related cloud services is essential.
• Hands-on experience with ETL/ELT processes and data pipeline development is required.
• Proficiency in Python, with experience using libraries such as Pandas and NumPy, is needed.
• Familiarity with Jenkins for pipeline automation is important.
• Strong communication skills are required, as the candidate must be comfortable interfacing with business stakeholders, developers, and other cross-functional team members.
• A proactive mindset is essential; candidates should take initiative, ask questions, and troubleshoot issues rather than waiting for direction.
• Nice-to-have qualifications include preferred experience in ingesting and processing Clickstream Data from Adobe Analytics and experience with Pub/Sub.

Benefits:

• The position offers comprehensive medical, dental, and vision insurance options, with 50% of employer-paid premiums.
• A 401K option is available after one year of employment.
• Profit sharing is included as part of the benefits package.
• Professional development and training opportunities are provided to enhance skills and career growth.
• The role is fully remote, and employer-provided equipment will be supplied to facilitate work.