Data Engineer III: 26-03327

Akraya; Oakland (CA); On-site; USD 83,000 - 87,000; Full time

Job summary

Akraya in Oakland, CA invites a data engineer to design, develop, and maintain robust data pipelines and analytic products. You will collaborate with cross-functional teams to deliver data applications, reports, and dashboards that support critical business initiatives.

This role focuses on utilities domain with opportunities to impact smart grid initiatives. Ideal candidates have experience building end-to-end pipelines, transforming data, and optimizing performance.

Qualifications

• End-to-end data pipelines development experience.
• Analytic applications, reports, and dashboards development.
• Strong problem-solving and attention to detail.

Responsibilities

• Develop data models, pipelines, and front-end apps with SMEs.
• Transform data to create new datasets and ontology objects.
• Monitor data quality and staleness.
• Optimize pipeline performance for latency and resources.
• Build and maintain visualizations and operational apps.

Skills

SQL

Python

PySpark

Palantir Foundry

Data Modeling/Visualization

Job description

Primary Skills:

• SQL (advanced)
• Python (advanced)
• PySpark (advanced)
• Palantir Foundry (advanced)
• Data Modeling/Visualization (advanced)

Contract Type:

W2

Duration:

6+ Months

Location:

Oakland, CA (1 Day Onsite)

Pay Range:

$60 to $63/hour on W2 #LP

This role focuses on designing, developing, and maintaining robust data pipelines and analytic products. You will collaborate with various teams to deliver essential data applications, reports, and dashboards that support critical initiatives. The position offers a unique opportunity to work within the advanced smart grid sector and contribute to sustainability goals.

Key Responsibilities:

• Develop data models, pipelines, and front-end applications in collaboration with subject matter experts.
• Transform data to create new datasets and ontology objects for business use.
• Monitor and resolve issues related to data staleness and quality.
• Optimize data pipeline performance for latency and resource utilization.
• Build and maintain operational applications and visualizations using specified tools.

Must-Have Skills:

• Extensive experience building end-to-end data pipelines.
• Proficiency in developing analytic applications, reports, and dashboards.
• Strong problem-solving and analytical abilities with meticulous attention to detail.

Domain / Industry Experience:

• Experience within the utility industry, particularly with smart grid technologies, is preferred.