Senior Data Engineer | Remote Data Pipelines & Cloud

Vytwo; Prosper (TX); Remote; USD 110,000 - 150,000; Full time

Benefits offered by this job

Performance recognition

Professional development opportunities

Job summary

A leading data solutions company is seeking a Senior Data Engineer (Remote) to design and maintain data pipelines, optimize data frameworks on cloud platforms like Databricks and Snowflake, and lead data engineering best practices. Candidates should have 7+ years of experience in data engineering, proficiency in Python, and strong SQL skills. This role offers a challenging environment with opportunities for professional growth and the potential for a security clearance requirement.

Qualifications

• 7+ years of experience in data engineering or software engineering.
• Hands-on experience with Databricks or Snowflake.
• Experience with orchestration tools such as Apache Airflow.
• Advanced SQL skills with OLTP and OLAP modeling.
• Solid programming expertise in Python or similar.

Responsibilities

• Design scalable data pipelines using Python and PySpark.
• Build data processing frameworks on cloud platforms.
• Implement robust data models for analytics and reporting.
• Develop high quality SQL code including complex queries.
• Manage workflow orchestration using Apache Airflow.
• Enforce data governance and metadata standards.
• Create automated data quality and validation frameworks.
• Collaborate with cross-functional teams for data solutions.
• Lead technical design sessions and code reviews.
• Support cloud infrastructure and DevOps practices.
• Monitor and troubleshoot production data pipelines.
• Contribute to enterprise data platform evolution.

Skills

Data engineering

Python

SQL

Databricks

PySpark

Apache Airflow

Cloud ecosystems (Azure, AWS, GCP)

OLTP/OLAP data modeling

Data governance

Tools

Databricks

Snowflake

Microsoft Purview

Docker

Kubernetes

Job description

A leading data solutions company is seeking a Senior Data Engineer (Remote) to design and maintain data pipelines, optimize data frameworks on cloud platforms like Databricks and Snowflake, and lead data engineering best practices. Candidates should have 7+ years of experience in data engineering, proficiency in Python, and strong SQL skills. This role offers a challenging environment with opportunities for professional growth and the potential for a security clearance requirement.