Data Analytics Engineer – Audit Pipelines & Flexible Hours

Torsap Thai Kitchen; West Sacramento (CA); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Personal development programs

Flexible work arrangements

Comprehensive benefits

Job summary

GIA Data Analytics team in West Sacramento is hiring a Data Analytics Engineer to enable audit analytics with curated datasets and self-serve applications. You will identify and integrate new data sources, run data quality checks, and develop automated data preparation routines with timestamps.

You will document processes, maintain the analytics library, and mentor analysts on the use of data assets and audit logs, while ensuring platform security and backups.

Qualifications

• Minimum 5 years in a similar data analytics or data engineering role.
• Fluent English with strong communication skills.
• Experience connecting to diverse data sources via APIs and SQL databases.
• Proficient in Python and ETL workflows for data pipelines.

Responsibilities

• Enable audit teams with curated data and self-serve applications.
• Identify, integrate, and operationalise new data sources.
• Run data input quality checks for completeness and accuracy.
• Develop scheduled data preparation routines with time-stamping.
• Document data integration processes and train others.
• Maintain data analytics library with definitions, limitations, provenance.
• Maintain AWS data analytics platform; manage vulnerabilities and backups.
• Mentor analysts on data use and governance.

Skills

Data analytics

Fluent English

APIs

SQL databases

Python

ETL workflows

Auditing knowledge

AI awareness

Education

Degree with high technical content

Tools

Python (Pandas/NumPy/SQLAlchemy)

AWS

Azure

Terraform

S3

EC2

Glue

Athena

IAM

Job description

GIA Data Analytics team in West Sacramento is hiring a Data Analytics Engineer to enable audit analytics with curated datasets and self-serve applications. You will identify and integrate new data sources, run data quality checks, and develop automated data preparation routines with timestamps.

You will document processes, maintain the analytics library, and mentor analysts on the use of data assets and audit logs, while ensuring platform security and backups.