Senior Data Engineer : 26-02981

Akraya Inc.; Lehi (UT); Hybrid; USD 62,000 - 69,000; Full time

Benefits offered by this job

Hybrid work

Remote option

Job summary

Akraya in Lehi, UT is seeking a data engineer to design data models, integrate diverse sources, and manage data warehouses to drive finance and business insights.

The role includes developing internal tools for standardized contractual data and applying AI/LLMs to improve efficiency. Hybrid work is preferred, with remote options available.

Qualifications

• Expertise in SQL and Python.
• Proficiency with data warehousing technologies.
• Experience building and managing data pipelines.

Responsibilities

• Architect and build data models and pipelines.
• Manage and optimize data warehouses.
• Develop services and tools for financial reporting.
• Standardize data collection for contracts and product usage.
• Explore and implement AI/LLM solutions.

Skills

SQL

Python

Databricks

Data Warehousing

LLMs

Job description

Primary Skills

SQL (advanced), Python (advanced), Databricks (advanced), Data Warehousing (advanced), LLMs (intermediate)

Contract Type

W2

Duration

8+ Months

Location

Lehi, UT (#Hybrid Prefer, Open for remote)

Pay Range

$45-$50 #LP

Job Summary

This role focuses on developing robust data infrastructure to support finance and business strategy teams. You will be responsible for designing data models, integrating diverse data sources, and managing data warehouses to unlock valuable insights. The position also involves creating internal tools and processes for standardizing contractual data and leveraging AI/LLMs for innovative problem-solving and efficiency gains.

Key Responsibilities

• Architect and build data models and pipelines.
• Manage and optimize data warehouses.
• Develop services and tools for financial reporting.
• Standardize data collection for contracts and product usage.
• Explore and implement AI/LLM solutions.

Must-Have Skills

• Expertise in SQL and Python.
• Proficiency with data warehousing technologies.
• Experience building and managing data pipelines.

Domain / Industry Experience

Experience with financial data, accounting principles, and understanding of SaaS contract structures is highly preferred.