Senior Data Engineer | Remote Cloud Data Pipelines (Energy)

Placements24; Riverton (UT); Remote; USD 140,000 - 170,000; Full time

Benefits offered by this job

Remote benefits package

Home office setup budget

Flexible working hours

Job summary

Placements24 is seeking a Senior Data Engineer to join a fully remote cloud-native team focusing on building robust data pipelines for the energy sector. You will architect, develop, and maintain scalable data infrastructure across AWS, Azure, and GCP to enable advanced analytics and machine learning initiatives.

The role requires 7+ years of cloud-based data engineering experience, proficiency in SQL and at least one language (Python/Scala), and a strong background in data modeling and

Qualifications

• 7+ years of data engineering experience with cloud-based solutions.
• Experience with AWS, Azure, or GCP data services.
• SQL proficiency and at least one of Python/Scala.
• Experience with Spark/Hadoop and data warehousing concepts.
• Strong data modeling and governance understanding.
• Ability to work in a fully remote team.

Responsibilities

• Design, build, and maintain scalable data pipelines on cloud platforms (AWS, Azure, GCP).
• Develop ETL/ELT processes for ingesting, transforming, and loading data into data warehouses and data lakes.
• Optimize data storage and processing performance for large-scale datasets.
• Implement data governance and security best practices in cloud environments.
• Collaborate with data scientists and analysts to ensure data is readily available and meets their needs.
• Evaluate and recommend new technologies and tools to enhance the data infrastructure.

Skills

SQL

Python

Scala

Cloud platforms

Big data (Spark/Hadoop)

Data modeling

Data governance

Remote collaboration

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

AWS (S3, Redshift, Glue)

Azure (Data Lake, Synapse)

GCP (BigQuery, Dataflow)

Job description

Placements24 is seeking a Senior Data Engineer to join a fully remote cloud-native team focusing on building robust data pipelines for the energy sector. You will architect, develop, and maintain scalable data infrastructure across AWS, Azure, and GCP to enable advanced analytics and machine learning initiatives.

The role requires 7+ years of cloud-based data engineering experience, proficiency in SQL and at least one language (Python/Scala), and a strong background in data modeling and