Head of Data Engineering & Analytics Services

MOREgroup; Reno (NV); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Insurance

401(k) plan with company match

Life insurance, long-term and short‑/短

Job summary

MOREgroup is seeking a skilled data professional to design, build, and maintain scalable data pipelines and analytics solutions. You will work across the data lifecycle, leveraging modern cloud platforms and integration tools to enable data-driven decision making.

The ideal candidate has hands-on experience with data warehousing, data modeling, and BI/analytics, and will lead offshore teams to deliver data initiatives in a growing organization.

Qualifications

• Bachelor’s degree preferred with 3+ years of professional experience in data engineering, integration, data science, or warehousing.
• Hands-on with modern cloud data platforms and integration tools.
• Strong SQL and data modeling skills; able to work across data lifecycle.

Responsibilities

• Design, develop, and maintain scalable data pipelines and architectures for reporting, analytics, and operations.
• Build and optimize data warehouses and analytical models for insights.
• Integrate data from internal and external sources via APIs, flat files, and DB connections using ETL/ELT tools.
• Collaborate with stakeholders to translate data needs into solutions.
• Evaluate BI and data solutions aligned with strategy and modernization.

Skills

SQL

Python

Cloud data platforms

ETL/ELT tools

Leadership

Data modeling

Data warehousing

API integration

Education

Bachelor’s degree in Computer Science, Data Science, Information Technology, or related field

Tools

Snowflake

Databricks

Amazon Redshift

Azure Synapse Analytics

Informatica

Boomi

Talend

Amazon Glue

Microsoft Fabric

SSIS

Job description

MOREgroup is seeking a skilled data professional to design, build, and maintain scalable data pipelines and analytics solutions. You will work across the data lifecycle, leveraging modern cloud platforms and integration tools to enable data-driven decision making.

The ideal candidate has hands-on experience with data warehousing, data modeling, and BI/analytics, and will lead offshore teams to deliver data initiatives in a growing organization.