Data Platform Engineer: Real-Time Analytics Pipelines

Optomi; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Optomi, in partnership with a financial services company, is seeking a Data Platform Engineer to advance the next generation data warehouse and analytics platforms. You will build platform capabilities to support data pipelines, integrations, and workflows that enable trusted, high-quality data for decision-making.

The role emphasizes hands-on data engineering, collaboration with cross-functional teams, and implementing industry best practices in data ingestion, governance, and data access.

Qualifications

• Hands-on data engineering experience with Python, SQL, DBT, and version control in Gitlab/Bitbucket.

Responsibilities

• Build data platform features and pipelines supporting self-service analytics and varying data domains.
• Develop data ingestion patterns for real-time, near real-time, and batch processes.

Skills

Python

SQL

DBT

Git

AWS

Tools

Databricks

Redshift

Terraform

Informatica

Ascend.io

Job description

Optomi, in partnership with a financial services company, is seeking a Data Platform Engineer to advance the next generation data warehouse and analytics platforms. You will build platform capabilities to support data pipelines, integrations, and workflows that enable trusted, high-quality data for decision-making.

The role emphasizes hands-on data engineering, collaboration with cross-functional teams, and implementing industry best practices in data ingestion, governance, and data access.