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Senior Data Engineer- US Citizen at Vytwo

Prosper, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Apache Spark, PySpark, Scala, Databricks, Delta Lake, SQL, ETL/ELT, Data Lake Architectures, Git, Version Control, Data Pipelines, Performance Tuning, Cost Optimization, Data Quality Checks, Streaming Data Pipelines, Batch Processing

Industry

IT Services and IT Consulting

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 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 Flexible work from home options available.

Responsibilities

The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines primarily using Apache Spark and building optimized data workflows within Databricks environments. This includes ingesting, transforming, and curating large-scale datasets while ensuring performance tuning and data quality.