The H1 Data Engineer interview guide, interview questions, salary data, and interview experiences.

H1 Data Engineer Interview Guide

Getting ready for an Data Engineer interview at H1? The H1 Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for H1 Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at H1.</li>
<li>Practice real H1 Data Engineer interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the H1 Data Engineer interview.


Getting ready for an Data Engineer interview at H1? The H1 Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for H1 Data Engineer roles.
- Gain insights into the Data Engineer interview process at H1.
- Practice real H1 Data Engineer interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the H1 Data Engineer interview.
        

Overview

H1 Data Engineer Salary

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Python

Machine Learning

Product Metrics

A/B Testing

Analytics

Statistics

Probability

Algorithms

H1 Data Engineer Interview Process

Given a table called <code>employees</code>, get the largest salary of any employee by department

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>department</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>largest_salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Write a query to get the largest salary of any employee by department

Largest Salary by Department

You’re tasked with designing a database system for Swipe Inc., a company that manages payments for software developers. Swipe manages a set of APIs so developers can abstract payment processes for their web service and transfer control over to Swipe’s APIs to manage payment security and finance handling (contacting credit card providers, etc.)

Your database system should store a collection of API keys with their attributes, as shown in the example below:

<pre tabindex="0" class="chroma"><code>{
 &#34;API_key&#34;:{
 &#34;Transaction_list&#34;:{
 &#34;User_ID&#34;:{
 &#34;Name&#34;:{
 &#34;f_name&#34;: 
 &#34;l_name&#34;: 
 }
 &#34;Card_Details&#34;:{
 &#34;Bank&#34;:
 &#34;Card_No&#34;:
 &#34;Expiry&#34;:
 &#34;CV&#34;:
 } 
 }
 }
 &#34;Curr_balance&#34;:
 }
}
</code></pre>

What are the functional and non-functional requirements for this database?

Determine the requirements for designing a database system to store payment APIs

Swipe Payment API

You’re given a dataframe of students named <code>students_df</code>:

<code>students_df</code> table

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Nicole Johnson</td>
<td>20</td>
<td>yellow</td>
<td>95</td>
</tr>

<tr>
<td>Elsa Williams</td>
<td>21</td>
<td>green</td>
<td>82</td>
</tr>

<tr>
<td>John James</td>
<td>20</td>
<td>blue</td>
<td>75</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>
Write a function named <code>grades_colors</code> to select only the rows where the student’s favorite color is green or red and their grade is above 90.

Example:

Input:

<pre tabindex="0" class="chroma"><code>import pandas as pd

students = {&#34;name&#34; : [&#34;Tim Voss&#34;, &#34;Nicole Johnson&#34;, &#34;Elsa Williams&#34;, &#34;John James&#34;, &#34;Catherine Jones&#34;], &#34;age&#34; : [19, 20, 21, 20, 23], &#34;favorite_color&#34; : [&#34;red&#34;, &#34;yellow&#34;, &#34;green&#34;, &#34;blue&#34;, &#34;green&#34;], &#34;grade&#34; : [91, 95, 82, 75, 93]}

students_df = pd.DataFrame(students)
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def grades_colors(students_df) -&gt;
</code></pre>

<table>
<thead>
<tr>
<th>name</th>
<th>age</th>
<th>favorite_color</th>
<th>grade</th>
</tr>
</thead>

<tbody>
<tr>
<td>Tim Voss</td>
<td>19</td>
<td>red</td>
<td>91</td>
</tr>

<tr>
<td>Catherine Jones</td>
<td>23</td>
<td>green</td>
<td>93</td>
</tr>
</tbody>
</table>

Write a function to select only the rows where the student's favorite color is green or red and their grade is above 90.

Good Grades and Favorite Colors

H1 Data Engineer Interview Questions

Homes.com - Senior Data Engineer Job Description Overview CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the worlds real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. Weve continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate. Homes.com is already one of the fastest growing real estate portals in the industry, we are driven to be #1. Just ask Brad Bellflower, Chief Change Officer at Apartments.com. After its acquisition in 2014, Apartments.com quickly turned into the most popular place to find a place. Proven success at the highest level and were doing it again with the new Homes.com. Homes.com is a CoStar Group company with 20+ years' experience in leading and growing digital marketplaces. We pride ourselves on continually improving, innovating, and setting the standard for property search and marketing experiences. With Homes.com were building a brand on the cusp of defining the industry. Were looking for big thinkers, brave leaders, and creative advertising wizards ready to influence a new age of homebuying within a tried-and-true, award-winning company. Learn more about Homes.com We are hiring talented Senior Data Engineers in roles related to building cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development. This position is located in San Diego, CA (UTC Area) and offers 2 days remote per week. Responsibilities <ul> <li>Designing, building, testing and deploying scalable, reusable and maintainable applications that handle substantial amounts of data. </li> <li>Taking full ownership of your work from development and testing to eventual deployment and support in production. </li> <li>Collaborating with other engineers, product owners, designers, and leadership. </li> <li>Becoming a trusted team member in matters of technical architecture, design and code. </li> <li>Advocating for evolution and improvement - both technical and non-technical - within our teams. Includes new tech, tools and best practices. </li> <li>Gaining a deep understanding of the CoStar business, including the Analytic products. </li> </ul>Basic Qualifications <ul> <li>Bachelors Degree required from an accredited, not for profit university or college </li> <li>A track record of commitment to prior employers </li> <li>A demonstrable record of accomplishment of building and launching successful products that use terabytes of data </li> <li>5+ years of data pipeline engineering experience, and/or deep database engineering experience </li> <li>Ability to analyze technical requirements and design new architectures, data models and ETL strategies </li> <li>Hands-on experience with cloud-based relational and non-relational databases </li> <li>Deliver work products that meet specifications, are free of defects, with excellent performance </li> <li>Define Architecture and Development best practices </li> <li>Facilitate discussions among developers to exchange ideas and introduce innovative technologies </li> <li>Evaluate emerging technologies to find opportunities, trends and best practices that can be used to strengthen CoStars technology platform and development practices </li> <li>Willingness to take an active role in mentoring other developers </li> </ul>Preferred Qualifications And Skills <ul> <li>Performance tuning of database queries (SQL Server or PostgreSQL), database design, monitoring, and analysis </li> <li>Experience with No-SQL databases (e.g. DynamoDB) </li> <li>Experience with data pipeline tools (e.g. Glue, Step Functions, Lambda) </li> <li>Experience using Confluent Kafka </li> <li>Knowledge and/or experience working with Apache Spark/Databricks </li> <li>Monitoring & dashboard metric management (e.g. CloudWatch, Kibana) </li> </ul> Whats in it for You When you join CoStar Group, youll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed. We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program. Our benefits package includes (but is not limited to): <ul> <li>Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug </li> <li>Life, legal, and supplementary insurance </li> <li>Virtual and in person mental health counseling services for individuals and family </li> <li>Commuter and parking benefits </li> <li>401(K) retirement plan with matching contributions </li> <li>Employee stock purchase plan </li> <li>Paid time off </li> <li>Tuition reimbursement </li> </ul> On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes Access to CoStar Groups Diversity, Equity, & Inclusion Employee Resource Groups Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply.? However, please note that CoStar Group is not able to provide visa sponsorship for this position. This position offers a base salary range of $110,000 - $199,000, based on relevant skills and experience and includes a generous benefits plan. #LI-CK1 #LI-Hybrid CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

iCapital is powering the world's alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services approximately $170 billion in global client assets invested in 1,392 funds, as of October 2023. iCapital has been named to the Forbes Fintech 50 for six consecutive years (2018-2023); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a three-time winner of MMI/Barron's Solutions Provider award (See link below). Job Description We are looking for an outstanding Data Engineer to join our New York-based team who can help build the infrastructure to make data a central part of iCapital. Data driven decisions are very critical for iCapital, as a result, we are looking for engineers that will not only be able to use the data but also understand it and help make actionable decisions. Data Engineers quickly grasp complex and fluid business problems and solve them with robust and creative analyses after having built highly-performant and highly scalable infrastructure to warehouse the data. If you love using the latest technologies, working on creative software projects, and/or thinking about innovative new business plans in your spare time, read on. How You Will Fulfill Your Potential <ul> <li>Leverage open-source technologies and cloud solutions to build elegant features that iCapital platform users love </li><li>Develop and automate large scale, high-performance data platform infrastructure to drive iCapital business growth and enable data-driven organization </li><li>Design and develop reusable components and frameworks for ingestion, cleansing, and data quality </li><li>Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse </li><li>Design data models for optimal storage and retrieval that represent the product entities and meet business requirements </li><li>Coordinate closely with sales and product development teams daily to push iCapital's FinTech strategy and improve the overall profitability of our business </li></ul>What We're Looking For <ul> <li>Bachelor's Degree in Computer Science, Data Science, Mathematics, Statistics or other quantitative area or related field </li><li>5+ years of experience with open-source technologies or object-oriented/functional programming, strong ability to write easy-to-scale, high-quality code </li><li>Experienced in at least 1 numeric research framework (python/pandas, R/Splus, Octave/Matlab) </li><li>Familiarity with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases. </li><li>Familiarity with various database designs (Relational, Columnar, NoSQL) </li><li>Some background in probability/statistics </li><li>Detail-oriented, ability to multitask and work in a fast-paced environment </li><li>Ability to work independently while also being a strong team player </li><li>Excellent written and verbal communication </li><li>Passionate about programming and cutting-edge technologies </li></ul>Preferred Qualifications <ul> <li>Master's in Computer Science, Data Science or related field </li><li>Professional experience with Python and JVM based languages such as Scala, Java, and Kotlin </li><li>Experience building data-pipelines, data-lakes and data warehouses. </li><li>Good knowledge of financial markets and financial instruments </li><li>Experience with AWS solutions such as Lambda, S3, Kinesis, ElastiCache </li><li>Familiarity with AWS and infrastructure-as-code (terraform or cloud formation) </li><li>Familiarity with the use and restrictions of PII data for analysis, research, development, and testing </li><li>Full-time or internship experience as a data engineer in the financial technology industry is a plus </li></ul> Benefits The base salary range for this role is $120,000 to $150,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. We offer most employees the flexibility to work in the office three or four days. Every department has different needs, and some positions will be designated in-office jobs, based on their function. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

H1 Data Engineer Interview Guide

Overview

H1 Data Engineer Salary

H1 Data Engineer Interview Process

H1 Data Engineer Interview Questions

H1 Data Engineer Jobs