Senior Lead Engineer

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 delivers world‑class end‑to‑end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi‑dimensional approach enables us to solve the most critical and large‑scale challenges across the aerospace & defense, automotive, energy, hi‑tech, healthcare, medical devices, rail and semiconductor industries.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.

Position Responsibilities

• Design and implement scalable, fault‑tolerant data pipelines to process both batch and streaming data.
• Develop data lake and warehouse solutions leveraging services like Snowflake for high‑performance analytical processing.
• Perform advanced data modeling and optimization, including dimensional modeling, partitioning, clustering, and indexing to ensure efficient data access.
• Enable real‑time analytics and monitoring by building low‑latency, event‑driven pipelines and integrating with visualization and alerting platforms.
• Implement data quality checks, data lineage tracking, and metadata management to maintain trust and traceability across the organization.
• Collaborate cross‑functionally with product, analytics, and data science teams to translate business use cases into scalable data solutions.
• Define and enforce data contracts and data SLAs, ensuring accuracy, timeliness, and compliance across data products.
• Create reusable frameworks for ETL orchestration, schema validation, and pipeline testing to accelerate development across teams.
• Treat datasets as reusable products with versioning, contracts, and SLAs.
• Own KPI definitions and metrics logic, ensuring consistent reporting and analytics across business units.
• Partner with senior stakeholders to define strategic data goals, such as customer 360, churn prediction, or marketing attribution models.
• Measure and improve data adoption and impact, including usage tracking, performance benchmarking, and cost optimization.
• Conduct technical interviews and contribute to the development of internal best practices and coding standards.

Position Requirements

• Master’s degree (or foreign equivalent) in Computer Engineering, or related field, plus two (2) years of experience in the job offered or a related position.
• 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.
• Any suitable combination of education, training, or experience is acceptable.

Apply at careers.quest-global.com and reference Job Code 28290.0303.

Pay Range: USD $140,712/year.

Compensation decisions are made based on factors including experience, skills, education, and other job‑related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.