Senior Data Engineer — Real-Time Analytics & Pipelines

Quest Global; Windsor (CT); On-site; USD 125,000 - 165,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

PTO

Job summary

Quest Global seeks a data engineering professional to design scalable data pipelines and data lake/warehouse solutions. You will leverage Snowflake, DBT, Tableau, Python, and SQL to enable real‑time analytics and robust data governance across business units.

You will collaborate with product, analytics, and data science teams to translate business use cases into data solutions, define SLAs, and drive KPI reporting. Travel to client sites in the U.S. is anticipated up to ~30%.

Qualifications

• Master’s degree (or foreign equivalent) in Computer Engineering, or related field, plus two years of experience.
• Demonstrable knowledge of Snowflake, DBT, Tableau, Python, Pandas, NumPy, AirFlow, Shell scripting, PL/SQL, Postgres SQL, and GitHub.
• Travel to unanticipated client locations throughout the U.S., approximately 30% as required.

Responsibilities

• Design and implement scalable, fault‑tolerant data pipelines for batch and streaming data.
• Develop data lake and warehouse solutions using Snowflake for analytics.
• Perform advanced data modeling, including dimensional modeling, partitioning, and indexing.
• Enable real‑time analytics with low‑latency pipelines and integration with visualization platforms.
• Implement data quality checks, data lineage tracking, and metadata management.
• Collaborate with product, analytics, and data science teams to translate business use cases into scalable data solutions.
• Define data contracts and SLAs for data products.
• Create reusable ETL frameworks for orchestration, schema validation, and testing.
• Treat datasets as reusable products with versioning and SLAs.
• Own KPI definitions and metrics logic for consistent reporting.
• Partner with stakeholders to define data goals like customer 360, churn, attribution.
• Measure data adoption and impact, including usage tracking and cost optimization.
• Conduct technical interviews and contribute to internal best practices.

Skills

Data modeling

ETL pipelines

Python

SQL

Pandas

NumPy

AirFlow

GitHub

Shell scripting

PostgreSQL

DBT

Education

Master’s degree in Computer Engineering or related field

Tools

Snowflake

DBT

Tableau

AirFlow

PostgreSQL

GitHub

Job description

Quest Global seeks a data engineering professional to design scalable data pipelines and data lake/warehouse solutions. You will leverage Snowflake, DBT, Tableau, Python, and SQL to enable real‑time analytics and robust data governance across business units.

You will collaborate with product, analytics, and data science teams to translate business use cases into data solutions, define SLAs, and drive KPI reporting. Travel to client sites in the U.S. is anticipated up to ~30%.