Data Engineer

Talentify; Foster City (CA); On-site; USD 41,000 - 54,000; Full time

Job summary

Talentify is seeking a Data Engineer in Foster City, CA to design and maintain dashboards, build ETL pipelines, and model release data for trend analysis.

You will use SQL, Python (Pandas/PySpark), and BI tools like QuickSight/Tableau/Power BI to surface insights and support data-driven decisions. Collaboration with PSQA and cross-functional teams is essential.

Qualifications

• Strong SQL skills for querying, aggregation, and data modeling.
• Python proficiency (Pandas/PySpark) for ETL and data transformation.
• Experience building dashboards with BI tools (QuickSight, Tableau, or Power BI).
• Ability to model release/version-based data for longitudinal tracking.
• Basic data science skills — statistics, EDA, notebook-based analysis.
• Familiarity with AWS fundamentals (S3, Athena/Redshift).
• Experience with Git for version control.
• Strong written and verbal communication skills.

Responsibilities

• Design, build, and maintain dashboards and scorecards for PSQA release and quality metrics.
• Query, aggregate, and transform release/version data using SQL and Python.
• Develop ETL pipelines to process and simplify quality and release data from multiple components.
• Model release- and version-based data to enable tracking and trend analysis over time.
• Perform exploratory data analysis to surface insights and support data-driven quality decisions.
• Collaborate with PSQA and cross-functional stakeholders to translate quality and release needs into actionable dashboards.
• Take ownership of assigned data deliverables, driving issues to resolution independently.
• Document data models, pipeline logic, and dashboard definitions for maintainability.

Skills

SQL

Python

BI dashboards

Data modeling

EDA

AWS

Git

Communication

Tools

Pandas

PySpark

QuickSight

Tableau

Power BI

S3

Athena

Redshift

Job description

Title: Data Engineer
Location: Foster City CA
Duration: 06+ Months
Pay Rate: $30-38.89/hr. on w2.

Job Description:

Responsibilities:

• Design, build, and maintain dashboards and scorecards for PSQA release and quality metrics
• Query, aggregate, and transform release/version data using SQL and Python
• Develop ETL pipelines to process and simplify quality and release data from multiple components
• Model release- and version-based data to enable tracking and trend analysis over time
• Perform exploratory data analysis to surface insights and support data-driven quality decisions
• Collaborate with PSQA and cross-functional stakeholders to translate quality and release needs into actionable dashboards
• Take ownership of assigned data deliverables, driving issues to resolution independently
• Document data models, pipeline logic, and dashboard definitions for maintainability

Required Skills:

• Strong SQL skills for querying, aggregation, and data modeling
• Python proficiency (Pandas/PySpark) for ETL and data transformation
• Experience building dashboards with BI tools (QuickSight, Tableau, or Power BI)
• Ability to model release/version-based data for longitudinal tracking
• Basic data science skills — statistics, EDA, notebook-based analysis
• Familiarity with AWS fundamentals (S3, Athena/Redshift)
• Experience with Git for version control
• Strong written and verbal communication skills.