Analytics Engineer

Swish Analytics

. Investigate individual incidents and requests end-to-end using raw production data and systems to determine root cause and recommend resolution .

Posted 9/28/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python and Rust for production systems, with strong SQL skills for data extraction and analysis. Capable of investigating complex problems using statistical methods and real-time data to provide actionable insights.

Highest-signal resume keywords

Python ProgrammingRust ProgrammingSQL ProficiencyStatistical AnalysisEvent-Driven Data Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringData ExtractionData WranglingData AnalysisProduction SystemsStatistical MethodsMetrics DevelopmentRoot Cause AnalysisReportingQuantitative Reasoning

Soft Skills

Problem SolvingCollaborationIndependence

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in StatisticsBachelor's Degree in Data Science

Industry Keywords

Analytics EngineeringApplied StatisticsSports BettingTrading Concepts

Tech Stack

Tools & technologies

PythonRustSQL

About the role

Key responsibilities & impact

Investigate individual incidents and requests end-to-end using raw production data and systems to determine root cause and recommend resolution
Build and maintain metrics measuring system health and performance over time using statistical methods
Produce clear descriptive reporting for stakeholders
Contribute to the team's core framework and tooling to make investigation and measurement more repeatable
Operate independently on ambiguous, partially-scoped problems
Identify and collaborate with data science, engineering, and trading partners when problems cross team boundaries
Work with real-time, event-driven data to reconstruct and explain system behavior during live events

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Statistics, Data Science, or similar major
Minimum of 4 years of professional software engineering experience, including production systems
Minimum of 2 years of experience with Python, including data extraction, wrangling, and analysis
Minimum of 1 year of experience with Rust in a production environment
Experience building and maintaining software that runs in production against real-world data — not just prototypes, one-off scripts, or notebook-based analysis
Strong SQL skills and direct experience working with raw/source data (logs, event streams, production tables)
Experience taking on open-ended problems with limited upfront direction
Genuine statistical/quantitative reasoning skills
Experience with event-driven or real-time data systems (preferred)
Background in analytics engineering, applied statistics, or a hybrid data/software role (preferred)
Exposure to sports, sports betting, or trading concepts (helpful, not required)