[Remote] Data Engineer
Note: The job is a remote job and is open to candidates in USA. Datavail is a leading provider of data management, application development, analytics, and cloud services. The Data Engineer role involves deep knowledge of data modeling and cloud architecture, requiring hands-on experience with modern data platforms and the ability to engage with both technical and business stakeholders.
Responsibilities
- Deep knowledge of data modeling, data warehousing, and lakehouse patterns
- Hands‑on experience with at least one modern data platform
- Experience integrating data platforms with applications using APIs, services, or event‑driven patterns
- Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
- Strong communication skills with the ability to engage both technical and business stakeholders
- Experience working in client‑facing or consulting environments
Skills
- 7 + years of IT experience
- Deep knowledge of data modeling, data warehousing, and lakehouse patterns
- Hands‑on experience with at least one modern data platform
- Experience integrating data platforms with applications using APIs, services, or event‑driven patterns
- Solid understanding of cloud architecture concepts (security, networking, scalability, cost management)
- Strong communication skills with the ability to engage both technical and business stakeholders
- Experience working in client‑facing or consulting environments
- Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field
- 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting. Or, equivalent experience
- Deep hands on experience with Databricks Lakehouse Platform and Apache Spark
- Strong proficiency in PySpark, SQL, Delta Lake, Databricks SQL
- Experience implementing Unity Catalog, data governance, and enterprise security controls
- Cloud experience with Azure Databricks, AWS Databricks, or GCP Databricks
- Familiarity with CI/CD, DevOps, and automation for Databricks workloads
- 8–12+ years in data engineering or architecture, with 4–5+ years delivering Databricks solutions
- Proven experience in client facing consulting roles, including requirements discovery, solution design, and executive communication
- Nice to have Fabric, Snowflake, Synapse, BigQuery – experience
Company Overview
Company H1B Sponsorship