Data Engineer

Horizontal Talent
Foster City, CA, United States
5 days ago
Apply on www.jofdav.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$45,760.0 - $79,040.0
Working hours
Regular working hours
Job source

Tech stack

Airflow Amazon Web Services Amazon S3 Data Analysis Software Quality Extract Transform Load (ETL) Data Transformation Cursor Database Queries Document-Oriented Databases Python (Programming Language) Release Management
+10 more
Power BI SQL Databases Tableau (Software) Git Pandas Pyspark Tools for Reporting GPT Software Version Control Data Pipelines

Job description

Join a dynamic team as a Data Engineer supporting product quality and release analytics through impactful dashboards, data pipelines, and reporting solutions. This onsite role in Foster City, CA offers the opportunity to work closely with cross-functional stakeholders to turn complex release and quality data into clear, actionable insights. Responsibilities

  • Design, build, and maintain dashboards and scorecards that track release and quality metrics
  • Query, aggregate, and transform release and version data using SQL and Python
  • Develop ETL pipelines that streamline quality and release data from multiple sources and components
  • Model release- and version-based data to support trend analysis over time
  • Perform exploratory data analysis to uncover insights that inform quality decisions
  • Partner with PSQA and cross-functional teams to translate reporting needs into effective dashboards
  • Take ownership of assigned data deliverables and drive issues through resolution independently
  • Document data models, pipeline logic, and dashboard definitions to support long-term maintainability

Requirements

  • Strong SQL skills for querying, aggregation, and data modeling
  • Proficiency in Python, including Pandas or PySpark for ETL and data transformation
  • Experience building dashboards using BI tools such as QuickSight, Tableau, or Power BI
  • Ability to model release/version-based data for longitudinal tracking and analysis
  • Basic data science skills, including statistics and exploratory data analysis
  • Experience working in notebook-based analysis environments
  • Familiarity with AWS fundamentals, including S3 and Athena or Redshift
  • Version control experience using Git
  • Strong written and verbal communication skills

Preferred Skills

  • Experience with data pipeline scheduling tools such as Airflow
  • Practical use of AI productivity tools such as Copilot, Cursor, or ChatGPT
  • Prior exposure to QA, release management, or software quality metrics

Horizontal is committed to creating an inclusive environment where diverse perspectives are valued and every team member can contribute authentically. We encourage candidates from all backgrounds to apply and help us build solutions that reflect a broad range of experiences and ideas.

Benefits & conditions

Please apply through this online posting or by visiting our Job Board at www.horizontaltalent.com/job-board. Applications will be accepted for 4 weeks. For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement. Check out all we have to offer and how you can become part of the Horizontal Talent Team. The pay range for this role is $22 - $38 per hour based on qualifications and experience. Engineering 1 day ago Applications Support Engineer Horizontal Talent Foster City, California $49.00 - $85.00 per hour

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.jofdav.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

40 sec

Generative pre-trained transformer models powering code completions

lgonta lgonta +1 · World Congress 2024

6:21 min

Investigating push inefficiencies with upstream Git experts

Jonathan Creamer · Coffee With Developers

2:03 min

Accelerating pandas dataframes using cudf module plugins

Ankit Patel Ankit Patel · World Congress 2024

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:33 min

Refactoring data science workflows using Rapids QDF and Pandas

Paul Graham Paul Graham · LIVE

51 sec

Assessing GPT-4o performance for pull request feedback

Merrill Lutsky Merrill Lutsky · World Congress 2025

Videos

See all

Related articles

See all