Data Engineer / Sr Data Engineer (Remote - US) - job 1 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer / Senior Data Engineer in the United States.

This role offers the opportunity to design, build, and optimize cloud-based data solutions that power AI and data-driven initiatives across large-scale business operations. The Data Engineer will work closely with data architects, scientists, and software engineers to ensure efficient, reliable, and secure access to structured and unstructured datasets. Responsibilities include developing scalable data pipelines, implementing robust ETL processes, and optimizing cloud data platforms. Candidates will operate in a collaborative, agile environment, helping drive technical excellence while continuously improving data architecture and workflow automation. This role is ideal for individuals passionate about modern data engineering and supporting AI/ML workflows in a fast-paced, global setting.

Accountabilities

The Data Engineer / Senior Data Engineer will:

• Build, maintain, and optimize scalable data models and pipelines in cloud-based environments, with a focus on BigQuery and other data warehousing technologies.
• Implement and manage data storage, partitioning, and clustering strategies to ensure high performance and reliability.
• Collaborate with cross-functional teams to understand requirements and deliver solutions aligned with business objectives, security standards, and data governance practices.
• Develop, maintain, and document SQL, Python, and ETL processes to support AI/ML and data-driven workflows.
• Ensure data quality and integrity by implementing validation and error-handling mechanisms.
• Continuously identify opportunities to improve data management processes, from ingestion to reporting layers.
• For senior-level team members: provide technical guidance, participate in code reviews, assess solutions for scalability and security, and support continuous improvement of internal standards and documentation.

Candidates should possess:

• Data Engineer: 3+ years of experience designing, building, and maintaining data solutions in cloud-based environments.
• Senior Data Engineer: 8+ years of experience in cloud-based data engineering, including BigQuery and Google Cloud Platform.
• Proficiency in SQL and Python to manipulate, store, manage, and retrieve data assets.
• Knowledge of data modeling, data warehousing, and big data architecture.
• Familiarity with Agile frameworks, ideally Scrum, and tools like Jira and Confluence.
• Strong analytical, problem-solving, and detail-oriented skills.
• Ability to communicate effectively with global team members, clarify requirements, and deliver solutions within timelines.
• Bachelor’s or Master’s degree in Computer Science, MIS, CIS, or equivalent experience.
• Military experience and military spouses are encouraged to apply.

• Medical, Dental, and Vision Coverage
• Holiday and Vacation Time
• Health & Wellness Days
• Birthday Bonus Day
• Flexible Remote and In-Office Collaboration
• Opportunities for Professional Growth and Learning
• Inclusive and Supportive Workplace Culture
• Targeted starting base salary in the U.S.: $60,000 – $160,000 USD, with potential for bonus and commission based on experience and role

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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