Analytics Engineer

Confido, LLC
New York, NY, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$150,000.0 - $190,000.0
Working hours
Regular working hours
Job source

Tech stack

Adaptable Database Systems Business Analytics Applications Data Analysis Big Data Data Architecture Data Infrastructure Extract Transform Load (ETL) Data Security Data Warehousing Database Queries Distributed Computing Environment Snowflake
+1 more
Data Pipelines

Job description

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.

Requirements

Do you have experience in Tooling?, * 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.

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Relocation assistance
  • Unlimited paid time off, * 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

Confido provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Compensation Range: $150K - $190K

About the company

Confido is the AI infrastructure powering CPG brands from deduction to production plan. We unify cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics in one integrated platform. The result: measurable time savings, smarter top- and bottom-line decisions, and the speed to scale.

Confido is trusted by 200+ brands managing $20B+ in revenue, including OLIPOP, Simple Mills, Dr. Squatch, Tropicana, and more.

We’ve achieved best-in-class growth and recently raised a $15M Series A led by Footwork Ventures and Y Combinator to accelerate our momentum.

Apply for this position

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

Apply on indeed.com

Good distractions

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

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · WWC Europe 2026

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all