Data Ops Engineer: Reliable Pipelines & Automation

Inclusion Cloud; Washington (District of Columbia); On-site; USD 80,000 - 100,000; Full time

Job summary

A data solutions provider in Washington, DC is seeking a skilled Data Operations Engineer to manage and monitor ETL data pipelines. In this role, you will improve data integrity and reliability while collaborating with teams across the organization. Candidates should hold a B.S. in computer science or possess 5+ years of relevant experience, with strong skills in SQL, Python, and data visualization tools. This is an excellent opportunity for detail-oriented individuals passionate about data optimization.

Qualifications

• Strong analytical and critical thinking skills.
• Proficient in shell scripting, Python, SQL.
• Experience with data visualization tools like Tableau.

Responsibilities

• Monitor and maintain data ETL pipelines.
• Analyze data workflows for reliability improvements.
• Facilitate onboarding of new data products.

Skills

Analytical thinking

Problem-solving skills

Shell scripting

Python

Spark/PySpark

SQL

HQL

HDFS

Data visualization

CI/CD principles

Education

B.S. in computer science or information systems

5+ years related work experience

Tools

GitHub

Tableau

Big Data Studio

AWS

GCP

Azure

Job description

A data solutions provider in Washington, DC is seeking a skilled Data Operations Engineer to manage and monitor ETL data pipelines. In this role, you will improve data integrity and reliability while collaborating with teams across the organization. Candidates should hold a B.S. in computer science or possess 5+ years of relevant experience, with strong skills in SQL, Python, and data visualization tools. This is an excellent opportunity for detail-oriented individuals passionate about data optimization.