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Analytics Engineer

United StatesUnited States·New Yorkmid
Data EngineerData
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Overview

Job Title Analytics Engineer Summary Join Aperia Solutions, a leader in SaaS solutions for the Payments and Compliance industries.

Technical Tools
Data EngineerData

Analytics Engineer

Join Aperia Solutions, a leader in SaaS solutions for the Payments and Compliance industries. Aperia is a Texas-based fintech and managed consultancy firm that creates custom SaaS applications and other software-based solutions for the payments, banking, and processing industry. Founded in 1999, Aperia offers business intelligence, risk management, compliance, and customer intelligence platforms. With offices in Dallas, Washington DC, and Vietnam, Aperia is a fast-paced, global organization that strives to improve efficiency in compliance, risk, and customer service operations. Aperia’s clients include banks, processors, payment facilitators, merchant service providers, independent sales organizations, and government entities. A career at Aperia promises a great challenge, culture, and opportunities to forge your own path.

  • Designs the merchant data foundation and model while it's still taking shape, builds analytics from scratch, and owns things end-to-end on a small, high-impact team
  • Goes deep into datasets, shapes infrastructure, and sees your work drive the business directly in a fast-moving environment
  • Operates across the full spectrum of data engineering (~10%), analytics engineering (~80%), and business intelligence (~10%), and serves as a core technical point of contact for business stakeholders
  • Handles regular and evolving ad hoc requests - often from senior management with imperfect data
  • Turns high level requirements and business needs into reliable pipelines that make analytics frictionless for downstream users
  • Does dimensional/semantic data modeling, performance tuning, and creates clean, consumable datasets
  • Designs, builds, and operates analytics pipelines with testing and monitoring built in
  • Builds analytics from the ground up while the underlying data model is still being defined, and helps define it
  • Discovers, evaluates, and onboards new datasets; manages connectors and ingestion methods
  • Integrates source systems into our central Snowflake platform and troubleshoots failures, latency, and data quality issues
  • Handles unpredictable, deep ad hoc requests in a high paced environment with imperfect data

Requirements

~1 min read
  • Bachelor's degree in computer science, business analytics, engineering, or a related field
  • 4+ years designing data models and pipelines, and handling ad hoc analytics requests
  • Advanced SQL and Python
  • Strong Snowflake experience (ingestion, transformations, access patterns, governance basics) and can operate independently
  • Proven ability to break ambiguous problems into structured, solvable components
  • Strong analytical and systems-design skills
  • High-ownership, proactive, and able to run multiple workstreams and follow through without constant direction
  • Someone who digs into the why behind a request - a real problem-solver who delivers
  • Snowflake SnowPro Core Certification
  • Familiarity with geospatial data
  • CI/CD pipeline development experience
  • Experience in a fast-paced, technical, and contribution-oriented environment
  • Must be willing to submit to a background investigation and drug test as part of the selection process.
  • This position is not eligible for visa sponsorship. Applicants must have authorization to work in the country without the need for sponsorship.
  • Full-Time
  • Monday to Friday

On-site in New York City, NY

What We Offer

~1 min read
Health insurance
Health savings account
Dental insurance
Vision insurance
401(k) matching
Life insurance
Paid time off
Parental leave
Disability insurance
Childcare assistance
Education reimbursement
Fitness membership
Volunteer time off

Location & Eligibility

Where is the job
New York, United States
On-site at the office
Who can apply
US

Listing Details

Posted
August 12, 2026
First seen
August 12, 2026
Last seen
August 13, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
60%
Scored at
August 12, 2026

Signal breakdown

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Analytics Engineer