Remote Data Engineer: Cloud ETL & Analytics

Blu Omega LLC; Atlanta (GA); On-site; USD 125,000 - 135,000; Full time

Job summary

Blu Omega is seeking a Data Engineer to support a federal program focused on data modernization. This role operates in a remote environment and is responsible for designing, developing, and maintaining cloud-based data pipelines, platforms, and data stores that enable analytics across large datasets.

The position requires experience in data engineering, data architecture, and ETL workflows within a mission-driven environment, with a Public Trust suitability determination as a requirement.

Qualifications

• 3+ years of experience in data warehouse development.
• 3+ years of experience analyzing and integrating data within cloud-based environments.
• 2+ years of experience developing and maintaining scalable data stores for big data analytics.
• Hands-on experience using SQL and Python for data processing and transformation.
• Experience designing and maintaining scalable ETL/ELT workflows using cloud technologies.
• Familiarity with Cloudera, Hadoop, or related big data technologies.
• Knowledge of cloud-based data architectures, storage, and pipelines.
• Experience with AI-assisted coding tools supporting development.
• Ability to perform backend SQL and NoSQL database testing and validation.
• Strong analytical and troubleshooting skills.
• Eligibility to obtain and sustain a Public Trust suitability determination.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines from cloud sources.
• Build and optimize data storage solutions for analytics, reporting, and BI.
• Develop and maintain scalable data stores for analysis.
• Write SQL and Python to process data with quality checks.
• Perform backend SQL and NoSQL testing and validation.
• Monitor and troubleshoot data pipelines for reliable ingestion.
• Develop scripts to standardize diverse datasets for analysis.
• Collaborate with analysts, developers, and stakeholders to translate requirements into data models.
• Support deployment, operation, and improvement of cloud data platforms.
• Leverage modern development practices and AI-assisted coding tools to enhance workflows.

Skills

SQL

Python

Data warehousing

ETL/ELT

Cloud technologies

AI-assisted coding

NoSQL testing

Troubleshooting

Education

Bachelor's degree in CS/DS/IS/Engineering

Tools

AWS Glue

PostgreSQL

Spark

Databricks

Hive

AWS EMR

MongoDB

Cassandra

Snowflake

Redshift

Job description

Blu Omega is seeking a Data Engineer to support a federal program focused on data modernization. This role operates in a remote environment and is responsible for designing, developing, and maintaining cloud-based data pipelines, platforms, and data stores that enable analytics across large datasets.

The position requires experience in data engineering, data architecture, and ETL workflows within a mission-driven environment, with a Public Trust suitability determination as a requirement.