Senior Data Engineer- US Citizen

Vytwo Technologies Inc.; Prosper (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Flexible work from home options

Job summary

Vytwo Technologies Inc. is seeking a Senior Data Engineer. This role involves designing and maintaining scalable data pipelines and optimizing workflows within Databricks. The candidate must have over 5 years of experience, especially with Apache Spark and Databricks, and must be a US Citizen. This position offers flexible work from home options to enhance work-life balance.

Qualifications

• 5+ years of experience in Data Engineering or related roles.
• Strong hands-on experience with Apache Spark (PySpark or Scala).
• Proven experience working in Databricks environments.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Apache Spark.
• Build and optimize data workflows on Databricks and implement data quality checks.
• Collaborate with stakeholders to deliver analytics-ready data.

Skills

Apache Spark (PySpark or Scala)

SQL

Databricks

ETL/ELT pipelines

Data Lake architectures

Git-based version control

Job description

Role: Senior Data Engineer - US Citizen

Location: Minneapolis, MN

Rate: Depends on experience

Additional Requirements

• Must be a U.S. Citizen
• Must be currently located in Minnesota (MN) or willing to relocate

Description

We are looking for a Senior Data Engineer to join our dynamic team! With our extensive knowledge in application, data, and cloud engineering services, we strive to create groundbreaking solutions that provide real value to our clients.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Apache Spark (PySpark and/or Scala)
• Build and optimize data workflows on Databricks, including Delta Lake, notebooks, and scheduled jobs
• Ingest, transform, and curate large-scale structured and semi-structured datasets
• Perform performance tuning and cost optimization of Spark workloads and Databricks clusters
• Implement data quality checks, monitoring, and error handling
• Collaborate with analytics and business stakeholders to deliver well-modeled, analytics-ready data
• Support batch processing and, where applicable, streaming data pipelines
• Follow best practices for testing, documentation, security, and version control

Required Qualifications

• 5+ years of experience in Data Engineering or related roles
• Strong hands‑on experience with Apache Spark (PySpark or Scala)
• Proven experience working in Databricks environments
• Strong SQL skills and experience with relational and analytical databases
• Experience building and maintaining ETL/ELT pipelines at scale
• Familiarity with modern data lake architectures (Delta Lake preferred)
• Experience with Git‑based version control
• Must be a US Citizen

Benefits

Flexible work from home options available.