V4C.ai is seeking a motivated Data Engineer to join our remote team in the United States. In this role, you will support the design, development, and maintenance of data solutions using Databricks, helping clients and internal teams process, transform, and analyze data effectively. You'll work on building reliable data pipelines and workflows in a collaborative environment, gaining hands-on experience with modern data engineering tools and cloud technologies.
Key Responsibilities- Collaborate with team members and stakeholders to understand data requirements and contribute to building scalable data pipelines and workflows in Databricks.
- Develop and implement ETL/ELT processes using Databricks, Python, SQL, and related tools to ingest, transform, and prepare data.
- Assist in optimizing data workflows for better performance, reliability, and cost-efficiency within Databricks environments.
- Support the creation and maintenance of data models, tables, and integrations in cloud platforms (Azure, AWS, or similar).
- Work closely with cross-functional teams (data analysts, scientists, and engineers) to deliver clean, accessible data for analytics and reporting.
- Monitor data pipelines, troubleshoot basic issues, and contribute to documentation and best practices.
- Stay curious about new Databricks features and data engineering trends to support ongoing improvements.
- Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field (or equivalent practical experience).
- 1-2 years of professional experience in data engineering, data processing, analytics engineering, or a closely related role (internships, co-ops, or academic projects with relevant tools count toward this).
- Hands-on experience and comfort building basic data pipelines or transformations.
- Proficiency in Python and SQL; experience with Scala is a plus but not required.
- Basic understanding of cloud platforms such as Azure, AWS, or GCP (ex: working with storage, compute, or data services).
- Solid analytical and problem-solving skills with attention to detail and a focus on writing clean, maintainable code.
- Strong communication skills and ability to work collaboratively in a remote team environment.
- Eagerness to learn, take ownership of tasks, and grow within data engineering.
Skills Required
- Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or related field (or equivalent practical experience)
- 1-2 years professional experience in data engineering, data processing, or analytics engineering
- Hands-on experience building data pipelines or transformations
- Proficiency in Python
- Proficiency in SQL
- Experience with Databricks
- Basic understanding of cloud platforms (Azure, AWS, or GCP)
- Experience with Scala
- Strong analytical and problem-solving skills; attention to detail; ability to write clean, maintainable code
- Strong communication skills and ability to work collaboratively in a remote team
- Eagerness to learn, take ownership of tasks, and grow within data engineering
v4c.ai Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about v4c.ai and has not been reviewed or approved by v4c.ai.
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Flexible Benefits — Flexible work arrangements, including remote-first and hybrid options, are highlighted across roles and company materials. Flexibility is positioned as part of the benefits package supporting work–life balance.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings such as wellness programs and regular social events are explicitly called out. These lifestyle benefits are framed as supporting employee happiness.
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Healthcare Strength — Comprehensive health insurance plans are stated as part of the package. Health coverage is presented as a core benefit alongside wellness support.
v4c.ai Insights
What We Do
v4c.ai is a premier IT services consultancy specializing in Databricks to help organizations unlock the full potential of their data. We partner with enterprises to accelerate their journey to becoming data-driven by delivering end-to-end Databricks services across Lakehouse implementation, data engineering, AI/ML, and governance. Our expertise in integration, optimization, and enablement empowers clients to unify disparate data sources, modernize analytics, and build AI-ready platforms. By aligning Databricks capabilities with strategic business goals, we help organizations achieve faster insights, stronger competitive advantage, and scalable innovation.
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