Senior Databricks Data Engineer — Cloud Pipelines Analytics

Oscar; Dallas (TX); On-site; USD 165,000 - 185,000; Full time

Benefits offered by this job

Competitive salary

Annual performance-based bonus

Opportunities for professional development

Job summary

A financial services company is seeking a skilled Databricks Data Engineer to optimize big data pipelines across its client sites nationwide. The ideal candidate should have extensive experience with Databricks, Apache Spark, SQL, and cloud services, particularly Azure and AWS. Offering a competitive salary of $165,000 to $185,000 along with annual bonuses and opportunities for professional growth.

Qualifications

• 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks.
• Proficient in Apache Spark, SQL, and Python.
• Strong understanding of data warehousing, data lakes, and data modeling principles.

Responsibilities

• Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake.
• Develop robust ETL/ELT solutions for structured and unstructured data.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.

Skills

Apache Spark

SQL

Python

Azure Data Services

AWS services

DevOps practices

Tools

Databricks

Terraform

DBT

Airflow

Job description

A financial services company is seeking a skilled Databricks Data Engineer to optimize big data pipelines across its client sites nationwide. The ideal candidate should have extensive experience with Databricks, Apache Spark, SQL, and cloud services, particularly Azure and AWS. Offering a competitive salary of $165,000 to $185,000 along with annual bonuses and opportunities for professional growth.