Ecclesiastes Interview Guide

Updated weekly

Everything we know about interviewing at Ecclesiastes: what each round tests and compensation by level.

Machine Learning EngineerSoftware Engineer

01Skills

What Ecclesiastes evaluates

How often each skill shows up across reported interview loops.

Machine Learning Engineering100%Integration Engineering100%Python97%BizTalk Server95%MLOps (Model Lifecycle Management)94%Enterprise Integration91%Model Deployment91%Data Science / ML Architecture88%Guidewire Integration87%Model Development (Supervised Learning)85%BizTalk Orchestration (BPMN-style orchestration)83%Data Preprocessing82%

02Role guides

Interview guides by role

Each guide has the questions Ecclesiastes interviewers actually ask, the loop structure, and total compensation by level.

2roles

Machine Learning Engineer

What is a Machine Learning Engineer at Ecclesiastes? A Machine Learning Engineer at Ecclesiastes plays a pivotal role in harnessing the power of data to drive innovation and enhance decision-making across the organization. This position is not merely about building models; it encompasses a comprehensive understanding of the product domain,...

$122k–$175kView

Software Engineer

What is a Software Engineer at Ecclesiastes? The role of Software Engineer at Ecclesiastes is a cornerstone of our technology-driven mission, where you will have the opportunity to design, build, and maintain software solutions that not only serve our clients but also elevate the overall user experience. As a Software...

$72k–$163kView

03Compensation

What Ecclesiastes pays, by level

Estimated total compensation: base salary plus stock and annual cash bonus.

Median $133k

LevelBaseStockBonus / yrTotal comp

All levels$75k–$175k——$72k–$175k

Ranges blend verified compensation data points · base + stock + annual bonus shown. Estimates only.

04FAQ

Ecclesiastes interview FAQ

Answered from real candidate and workplace data, marked up for rich results.

How much does Ecclesiastes pay for data roles?

Reported total comp for data roles at Ecclesiastes ranges from roughly $72k to $175k per year, varying by level, team, and location.

What topics does Ecclesiastes test in interviews?

Ecclesiastes interviews most often cover Machine Learning Engineering, Integration Engineering, Python, BizTalk Server, and MLOps (Model Lifecycle Management). The exact emphasis depends on the specific role you apply for.

What roles can I prepare for at Ecclesiastes?

Dataford has interview guides for 2 roles at Ecclesiastes, including Machine Learning Engineer and Software Engineer.

Where is Ecclesiastes headquartered?

Ecclesiastes is headquartered in Newark, US.