Analytics Engineer

Confido

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience building and operating modern data warehouses and analytics platforms.
  • Strong SQL skills and experience modeling large datasets.
  • Deep experience with distributed data processing and ETL pipeline optimization.
  • Experience with data pipeline orchestration and data infrastructure.
  • Familiarity with modern analytics tooling like Snowflake or dbt.
  • Ability to balance short-term business objectives with long-term platform development.
  • Strong communication skills with experience in cross-functional collaboration.

Responsibilities

  • Design, build, and maintain the centralized data warehouse and analytics infrastructure.
  • Develop scalable data models for reporting and dashboards.
  • Serve as steward of data landscape, ensuring easy discoverability and trustworthiness.
  • Consolidate data models to create a single source of truth across teams.
  • Establish best practices for data modeling, testing, and governance.
  • Partner with various teams to define metrics and provide actionable insights.
  • Improve data quality and accessibility for the organization.
  • Enable self-service analytics with scalable datasets.

Benefits

  • Equity
  • Paid Relocation
  • Unlimited PTO
  • 401(K) through Vestwell
  • Provided MacBook
  • Fully Paid Health, Dental, and Vision plans
  • Catered Lunches on Fridays
  • Nightly Team Dinners for those staying past 6:30pm
  • Unlimited coffee and snacks featuring our brands
Full Job Description
The Role

At Confido, data powers everything from customer-facing insights to internal decision making. We are looking for an Analytics / Data Engineer to build the foundation that enables scalable reporting, trusted metrics, and seamless data access across the company.

What You'll Do
  • Design, build, and maintain our centralized data warehouse and analytics infrastructure.
  • Develop scalable data models that power reporting, dashboards, operational workflows, and customer-facing data exports.
  • Serve as the steward of Confido's data landscape, creating visibility into data ownership, lineage, and dependencies while ensuring data is discoverable, trustworthy, and easy to consume across the organization.
  • Consolidate and standardize data models across multiple products and teams, creating a single source of truth for the business.
  • Establish data engineering best practices, including data modeling standards, testing, documentation, monitoring, and governance.
  • Partner closely with Engineering, Product, Operations, and Customer teams to define metrics and deliver actionable insights.
  • Improve data quality, reliability, and accessibility across the organization.
  • Enable self-service analytics by creating scalable datasets and semantic layers for downstream consumers.

What We're Looking For
  • Experience building and operating modern data warehouses and analytics platforms.
  • Strong SQL skills and experience modeling large datasets.
  • Deep experience with distributed data processing, including designing performant ETL pipelines and optimizing large-scale data workloads.
  • Experience with data pipeline orchestration, ETL/ELT workflows, and data infrastructure.
  • Familiarity with modern analytics tooling such as Snowflake, dbt, or similar technologies.
  • Ability to balance immediate business needs with long-term platform investments.
  • Excellent communication skills and a track record of working cross-functionally with technical and non-technical stakeholders.

Success in This Role

In your first year, you'll establish the foundation of Confido's analytics platform by building a scalable data warehouse, unifying fragmented data models across teams, and creating the infrastructure and standards that allow every engineer to reliably publish and consume data. Your work will directly enable faster decision-making, better customer insights, and a more data-driven organization.

Perks + Benefits
  • Equity
  • Paid Relocation
  • Unlimited PTO
  • 401(K) through Vestwell
  • Provided MacBook
  • Fully Paid Health, Dental, and Vision plans
  • Catered Lunches on Fridays
  • Nightly Team Dinners for those staying past 6:30pm
  • Unlimited coffee and snacks featuring our brands


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