Senior Analytics Engineer: Data Pipelines (Remote)

Constructor; United States; Remote; USD 80,000 - 120,000; Full time

Benefits offered by this job

Fully remote team

Unlimited vacation

Home office stipend

Apple laptops provided

Training budget

Maternity & Paternity leave

Stock options

Job summary

Constructor is hiring Senior Analytics Engineers to turn billions of daily events into reliable data products, pipelines, models, dashboards, and tools that power decision-making across teams.

You will combine strong technical craft with business understanding to define and validate metrics, ensure data quality, and deliver end-to-end analytics ownership in a fast-paced environment. This remote-friendly role offers high-impact work and competitive compensation.

Qualifications

• Strong experience building data pipelines, data models, and analytics tooling.
• Expert-level SQL and experience working with large-scale datasets and distributed data systems.
• Experience with Python for data work and tooling.
• Experience with modern analytics stacks (e.g. dbt, Airflow, or similar modeling and orchestration tools).
• Product & business understanding: Experience defining and validating business metrics and understanding why they matter.
• Understanding of product funnels and ecommerce metrics (revenue, conversion, engagement).
• Ability to translate stakeholder needs into data models, dashboards, and tools.
• Communication & ownership: Ability to communicate clearly with both technical and business stakeholders.
• Comfortable owning an analytics area end to end in a fast-paced environment.
• Preferred: Experience building customer-facing or embedded analytics.
• Preferred: Experience working in ecommerce.

Responsibilities

• Design and build data pipelines and data models for analytics
• Build dashboards, reports, and tools that make large-scale behavioral data usable and trustworthy
• Define and validate business metrics together with stakeholders, not just implement them
• Ensure data quality, consistency, and performance across systems processing billions of events
• Partner with analysts, engineers, and product managers to translate business needs into well-designed data solutions
• Work with SQL, Python, and distributed data systems at very large scale

Skills

Data pipelines

Data models

Analytics tooling

SQL

Python

Stakeholder communication

Ownership

Ecommerce metrics

Business metrics

Team collaboration

Ownership of analytics area

Tools

dbt

Airflow

Job description

Constructor is hiring Senior Analytics Engineers to turn billions of daily events into reliable data products, pipelines, models, dashboards, and tools that power decision-making across teams.

You will combine strong technical craft with business understanding to define and validate metrics, ensure data quality, and deliver end-to-end analytics ownership in a fast-paced environment. This remote-friendly role offers high-impact work and competitive compensation.