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

Ochin Data Engineer Interview Guide

Getting ready for an Data Engineer interview at Ochin? The Ochin Data Engineer interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Ochin Data Engineer roles.</li>
<li>Gain insights into the Data Engineer interview process at Ochin.</li>
<li>Practice real Ochin 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 Ochin Data Engineer interview.


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

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

Overview

Ochin 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.

Ochin 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 are given a dictionary with a key-value of <code>{string: number}</code> where values in the dictionary could be duplicates. You are required to extract the unique values from the dictionary where the value occurred only once.

Return a list of values where they occur only once.

Note: You can return the values in any order.

Input:

<pre tabindex="0" class="chroma"><code>dictionary = {&#34;key1&#34;: 1, &#34;key2&#34;: 1, &#34;key3&#34;: 7, &#34;key4&#34;: 3, &#34;key5&#34;: 4, &#34;key6&#34;: 7}
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>find_unique_values(dictionary) -&gt; [3,4]

#Only 3 and 4 occurred once.
</code></pre>

Dictionary Unique Values

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

Ochin Data Engineer Interview Questions

Job Type
 Full-time
 
 Description
 Make a difference at OCHIN OCHIN is a rapidly growing national nonprofit health IT organization with two decades of experience transforming health care delivery to drive health equity. We are hiring for a number of new positions to meet increasing demand. When you choose to join OCHIN, you have the opportunity to continuously grow your skills and do meaningful work to help fulfill our mission. OCHIN provides leading-edge technology, data analytics, research, and support services to nearly 1,000 community health care sites, reaching nearly 6 million patients nationally. We believe that every individual, no matter their race, ethnicity, background, or zip code, should have fair opportunity to achieve their full health potential. Our work addresses differences in health that are systemic, avoidable, and unjust. We partner, learn, innovate, and advocate, in order to close the gap in health for individuals and communities negatively impacted by racism or other structural inequities. At OCHIN, we value the unique perspectives and experiences of every individual and work hard to maintain a culture of belonging. Founded in Oregon in 2000, OCHIN employs a growing virtual workforce of more than 800 diverse professionals, working remotely across 46 states. We offer a generous compensation package and are committed to supporting our employees' entire well-being by fostering a healthy work-life balance and equitable opportunity for professional advancement. We are curious, collaborative learners who strive to live our values everyday: leadership, collaboration, excellence, innovation, inclusion, and stewardship. OCHIN is excited to support our continued national expansion and the increasing demand for our innovative tools and services by welcoming new talent to our growing team. Position Overview The Health Equity Data Analyst coordinates and conducts rapid cycle evaluation and analytics projects to surface data insights that advance OCHIN's capacity to be a driving force for health equity. This position will closely partner with OCHIN leaders and subject matter experts to conduct data-driven, evidence-based analyses that help surface and address inequities in care delivery and outcomes across OCHIN's network. Essential Duties Primary Responsibilities <ul> <li>Conduct systematic literature reviews to inform analyses </li><li>Establish and implement equity, justice, and data de-colonization frameworks that can be applied to data analytics projects on the Evaluation and Analytics Team </li><li>Conduct rapid-cycle evaluations and analytics that generate data insights that can be used to drive internal decision-making and external policy and advocacy efforts </li><li>Develop and apply quantitative analytic methods to identify, collect, process, and analyze large data sets. </li><li>Generate high quality, readily interpretable deliverables (e.g., data tables, graphs, charts, study reports) and package findings for executive level stakeholders </li><li>Analyze clinical quality measure performance across OCHIN's network and surface bright spots, disparities, and recommendations for improvement </li><li>Collect, validate, analyze, and interpret data-based findings, complimenting and supplementing additional efforts (e.g., qualitative) where applicable, towards refinement of program efforts and determination of evidence-base for program interventions. </li><li>Build, maintain, and continuously seek opportunities to improve systems and processes for assigned data collection, analysis, and reporting (e.g., health equity analyses, other assigned projects) </li> <li>Assist OCHIN in obtaining and using data to drive change and improve outcomes </li><li>Manage multiple projects simultaneously to help OCHIN improve products, services, and outcomes </li><li>Continuously seek opportunities to improve OCHIN's systems and processes for evaluation </li> <li>Build and maintain relationships with internal and external stakeholders </li> <li>Maintain current knowledge of cutting-edge empirical methods in social science, particularly with regards to data de-colonization, equity, and justice </li><li>Work and communicate across disciplines and OCHIN teams </li> <li>Actively participate in internal OCHIN cross-departmental project teams as needed (e.g. Research, Clinical, HCCN) </li></ul> Secondary Responsibilities <ul> <li>Act as a change agent to foster and support a culture of learning throughout the organization </li><li>Provide excellent customer service and represent OCHIN professionally in all interactions with clinical practices </li> <li>Escalate risks and issues as appropriate </li><li>Lead and model OCHIN's Values </li><li>Contribute to the growth and development of the team </li> <li>Actively pursue continuous learning and professional growth </li> </ul>
 Requirements
 <ul><li>Bachelor's degree in statistics, biostatistics, public health, or a related field required; Master's degree preferred and a </li><li>Minimum of three (3) years of experience in rapid cycle evaluation or implementation science experience OR </li><li>A Masters Degree in Biostatistics/Statistics with 1 year of experience </li><li>Experience working with quantitative software: R, SAS, (Tableau preferred) </li><li>Experience working with health outcomes data preferred </li><li>Experience applying approaches to data justice and de-colonization preferred </li><li>Intermediate level of proficiency working with MS Excel (including formulas, calculations, charts, graphs) required </li><li>Experience working 100% remotely is required </li><li>Demonstrated experience with program evaluation </li><li>Excellent interpersonal, intercultural, and customer service skills </li><li>Excellent communicator with the ability to successfully communicate with a wide range of roles and personalities, both written and spoken </li><li>Possess a learning mindset and curiosity for new knowledge </li> <li>Strong time management skills and demonstrated capability to work on multiple projects at one time </li><li>Strong organizational skills, especially around documentation and information management </li> </ul> COVID-19 Vaccination Requirement To keep our colleagues, members, and communities safe, OCHIN requires all employees-including remote employees, contractors, interns, and new hires-to be vaccinated with a COVID-19 vaccine, as supported by state and federal public health officials, as a condition of employment. All new hires are required to provide proof of full vaccination or receive approval for a medical or religious exemption before their hire date. Work Location and Travel Requirements OCHIN is 100% remote organization. Work from home requirements are: <ul><li>Ability to work independently and efficiently from a home office environment </li><li>High Speed Internet Service </li><li>It is a requirement that employees work in a distraction free workplace </li><li>Travel may be required to support our member organizations on-site based on business requirements for OCHIN </li></ul> We offer a comprehensive range of benefits. See our website for details: https://ochin.org/employment-openings Equal Opportunity Statement OCHIN is proud to be an equal opportunity employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills for the benefit of our staff, our mission, and the communities we serve. As an Equal Opportunity and Affirmative Action employer, OCHIN, Inc. does not discriminate on the basis of race, ethnicity, sex, gender identity, sexual orientation, religion, marital or civil union status, age, disability status, veteran status, or any other protected characteristics. All aspects of employment are based on merit, performance, and business needs. Base Pay Overview The typical offer range for this role is minimum to midpoint, with the midpoint representing the average pay in a national market scope for this position. Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls. The actual salary offer will consider a wide range of factors directly relevant to this position, including, but not limited to, skills, knowledge, training, responsibility, and experience, as well as internal equity and alignment with market data. #LI-Remote #Tableau #Biostatistics/Statistics Masters #Rapid cycle evaluation #health outcomes data 
 Salary Description
 Min$70,214 Mid-$87,767 Max-$105,320

Must-haves <ul><li>10 years' experience developing data-related solutions and software</li><li>Experience of Extract/Transform/Load (ETL) and Extract/Load/Transform (ELT) tools, including both batch and real-time data transmission applications such as SSIS, Azure Data Factory, Informatica, Kafka, Spark, MuleSoft, or equivalent software</li><li>Experience of database technologies such as Microsoft SQL Server, Oracle, or NoSQL databases</li><li>Experience of multiple programming languages, such as C#, Java, Python, SQL, Scala, or similar</li><li>Knowledge of IT infrastructure standards and tools, such as application performance monitoring, IT service management, and DevOps software</li><li>Bachelor's or foreign equivalent degree in MIS, computer science or a related field required</li></ul> Day-to-Day Insight Global is looking for a Sr Data Engineer to join their clients Business Intelligence team building and supporting the data warehouse used globally by our Private Client Group business. The team designs and develops extract workloads in Azure Data Factory, builds dimensional and tabular models to support data and reporting solutions. You will define and establish data models and supporting the tools and methods of populating data into transactional databases, data warehouses, data marts, or other data repositories and establishing and supporting reporting toolsets and frameworks. You will provide operational support and incident/problem management including logging, instrumentation, analysis, and implementation of process improvements. You will collaborate with the business to oversee the visualization of data and report generation to meet various needs. You will coordinate with other IT teams to Benefits:<ul><li>100% paid medical, dental and vision premiums for you and your qualifying dependents</li><li>A 50% 401(k) match, up to the IRS maximum</li><li>20 days of PTO*, plus 10 paid holidays (*17 days of PTO and 3 days of sick time for California employees)</li><li>Family Support programs including 8 weeks Paid Primary Caregiver leave, adoption assistance and back-up child care</li><li>$10,000 fertility, hormonal health and family-forming benefit</li><li>Opportunity to participate in our hybrid work from home program. This program is subject to change. Based on tenure and performance eligibility, you will have the opportunity to work from home up to 75 days per year</li></ul>

Job Description: We are seeking a skilled and experienced Lead Data Engineer to join our team and take a pivotal role in building, optimizing, and maintaining our data platform. As a technical leader, you will leverage your expertise in cloud technologies and data engineering to ensure high performance and scalability of our data solutions. This position requires a passion for data, a commitment to innovation, and a focus on delivering efficient and effective solutions. Key Responsibilities: Lead a team of data engineers in the development and maintenance of scalable data pipelines for the platform. Optimize data capture, ingestion, and processing workflows to enable advanced analytics, data science, and operational intelligence. Collaborate with Data Platform Architects and ML Engineers to integrate feature stores, manage model deployment, and implement data preparation workflows. Ensure data engineering processes are designed for high performance, scalability, and resource efficiency. Provide technical leadership and mentorship to team members, fostering an environment of continuous improvement and innovation. Design and maintain data pipelines for streaming data, batch processing, and real-time analytics. Implement secure and scalable data capture and ingestion workflows. Support data preparation, exploration, and visualization to facilitate data-driven decision-making. Work closely with other engineering teams to ensure data pipelines are secure, efficient, and aligned with business requirements. Qualifications: Bachelor’s degree in Computer Science, a technical field, or a related business discipline. Equivalent experience, certifications, or training will be considered. Master degree preferred 5+ years of experience in designing and delivering secure cloud solutions. 3+ years of experience with Databricks 2+ years of experience with Agile Methodology Strong problem-solving, analytical, and communication skills.

Work at OMRON!OMRON is a global leader in the field of automation, an $8 billion global technology company celebrating more than 80 years of success. OMRON’s business fields cover a broad spectrum, ranging from industrial automation and electronic components to social systems and healthcare. OMRON Management Center of America, Inc. is the regional headquarters for OMRON in the Americas. Data EngineerAs a Data Engineer at OMRON, you will play a crucial role in designing, implementing, and maintaining robust data pipelines and infrastructure on Snowflake, leveraging your expertise in data integration tools and AWS cloud services. You will work closely with cross-functional teams to ensure the efficient flow of data across various systems and platforms, while also validating data integrity and adherence to best practices. Additionally, you will contribute to data modeling efforts and collaborate with data Analysts/scientists to support advanced analytics initiatives. Experience with Power BI visualizations will be considered a plus. Our Commitment to Employees:<ul><li>Training and Career Development Program to give employees a learning path with the necessary tools and resources they need to help build their career at Omron.</li><li>Great financial opportunities with competitive compensation, immediate 401k match with 100% vesting, profit sharing, and Blue Cross Blue Shield for medical, dental, vision and prescription drug benefits.</li><li>Community Awareness that includes activities with local non-profit organizations and a Matching Gift Program.</li><li>Work-Life Balance with Flexible Work Arrangements, Flexible Work Hours, and Sick/Vacation/Holiday Pay.</li><li>Wellness Activities such as Walking Contests, Nutritional Learning Sessions, On Site Flu shots and Health Screenings.</li></ul> Responsibilities:<ul><li>Design, develop, and maintain data pipelines on Snowflake using Appflow, IICS, or other data integration tools.</li><li>Ensure data quality and integrity by implementing rigorous validation processes and recommending best practices for data management.</li><li>Collaborate with stakeholders to understand data requirements and translate them into scalable and efficient solutions.</li><li>Implement and optimize data models to support analytics and reporting needs, considering performance and scalability requirements.</li><li>Work closely with AWS cloud services, leveraging various tools and services for data storage, processing, and analysis.</li><li>Collaborate with data experts to deploy machine learning models and support data science projects.</li><li>Develop Power BI visualizations and dashboards to provide insights to stakeholders and drive decision-making.</li><li>Stay abreast of emerging technologies and industry trends, continuously improving processes and solutions.</li><li>Other duties and miscellaneous projects as needed</li></ul> Job Requirements:<ul><li>Bachelor’s degree in business or technical field; master’s degree preferred.</li><li>Proven experience as a Data Engineer, with a focus on Snowflake, data integration tools, and AWS cloud services.</li><li>Strong proficiency in SQL</li><li>Experience with programming languages such as Python is a big plus</li><li>Experience with data modeling concepts and tools.</li><li>Familiarity with data science techniques and tools is a plus.</li><li>Experience with Power BI or other data visualization tools is preferred.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills, with the ability to work effectively in a team environment</li></ul> Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Omron we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Omron is an Equal Opportunity Employer. We provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, we comply with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

I am partnered with a leading manufacturing company of water metering and management solutions, who are looking for a Data Practice Manager to join the business and build out of a Data & Analytics Practice. This individual will be responsible for building out the data practice under the Data Governance & Analytics pillar, where you will be responsible for managing, leading and developing a team and you will understand the internal challenges and requirements and present data analytics tailored solutions to the business. You will have a background in Data Governance, data management and the infusion of policies and procedures to be able to take a lead on this exciting new role for them. Responsibilities<ul><li>Lead and develop a team of 6 people</li><li>Create techniques for quality data collection</li><li>Work closely with internal teams to ensure alignment between customer expectations for internal data offerings</li><li>Monitor and analyze information and data systems</li><li>Ensure digital databases are protected from security breaches and data losses</li></ul> Requirements<ul><li>7-10 years+ of experience as a Data Practice Manager or experience as a Data Scientist with leadership experience</li><li>Experience with Azure or AWS Cloud</li><li>Expeirence with Power BI</li><li>Ability to act in a technical capacity and providing solutions</li></ul> This position will be hybrid with 2 days onsite in office.

Senior Data EngineerProvo, Utah - Hybrid*Only candidates residing in the Untied States will be consideredNo agencies$160-175K/year As a Senior Data Engineer focusing on data automation and quality you will be expected to use a highly programmatic approach to solving the company’s data needs. This includes leveraging python and ANSI SQL to build data pipelines and quality tools using Spark, Databricks DLT pipelines, and other methods on the Databricks platform. This job is focused less on data architecture / structure and more on building resilient software. As such you should expect to be developing python code daily. In this role a successful data engineer is one who has the desire to build and maintain environments that run millions of lines of code with few or no failures while maintaining a high degree of accuracy. Education<ul><li>Bachelor’s degree (BS) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or equivalent industry experience or other math based technical field that requires significant programing course work to complete the degree. (EcEn, Econ, Stats, etc.)</li><li>Desired; 2 Year master’s degree (MS) in computer science or other math based technical field that requires significant programing.</li></ul> Experience<ul><li>3-5 years As a technical data engineering experience specifically focusing on automation and quality using python and spark based technologies to process and automate data.</li><li>3-5 years Experience designing cloud-based data pipelines using a variety of tools (e.g., Databricks, Fivetran, or similar).</li><li>3-5 years Experience with cloud data technologies (e.g., Snowflake, AWS, Azure) and industry best practices around data in cloud platforms.</li></ul> Essential Knowledge, Skills, and Abilities<ul><li>Prior experience as a Data Engineer or similar technical data professional</li><li>Deep knowledge of Databricks and experience processing both streaming (Kinesis) and batch data at scale using python.</li><li>A strong desire to be a Team player and build a collaborative environment.</li><li>Possess a very strong understanding of python and ANSI SQL including accessing remote data outside of the base environment using HTTP, Rest APIs, etc.</li><li>Demonstrated ability to learn new platforms and technologies.</li><li>Build and maintain the data infrastructure required to transform OLTP data sources into usable data structures optimized for business intelligence and data engineering.</li><li>Design, implement, and maintain the next-generation data pipelines using industry leading technologies such as Databricks.</li><li>In collaboration with IT and other business stakeholders, consolidate multiple complex data silos into a single enterprise data warehouse used for companywide data engineering and analytics.</li><li>Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.</li><li>Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.</li><li>Work with stakeholders including the Engineering, IT, and other Data Services teams to assist with data-related technical issues and support their data infrastructure needs.</li><li>Ensure compliance with security, data retention, and privacy policies to keep our data secure across multiple data centers and cloud vendors.</li><li>Create data tools for Data Engineering team members that assist them in building and optimizing our services.</li><li>Maintain current data pipelines to support business needs.</li><li>Work with data and analytics experts to strive for greater functionality in our data systems.</li><li>Other duties as assigned by management.</li><li>Experience using multiple programming languages (e.g., SQL, , Spark, Python,) to create reproducible, automated processes to create data infrastructure and products for business users.</li><li>Advanced SQL knowledge and query optimization.</li><li>Experience building, maintaining, and optimizing (balancing speed and cost) cloud data warehouses.</li><li>Deep knowledge of OLAP vs OLTP database architectures</li><li>Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.</li><li>Experience working with API’s and command line interface tools to automate data extraction, loading, and transformation.</li><li>Experience working with business users to develop automated quality assurance error checks.</li><li>Strong project management and organizational skills.</li><li>Ability to apply analytical and critical thinking to solve complex problems.</li><li>Experience supporting and working with cross-functional teams in a dynamic environment.</li><li>Demonstrate outstanding ethics, integrity, and judgment.</li><li>Exceptional written communication skills with specific ability to communicate concepts and ideas concisely and defend their validity.</li><li>Interact with others in a professional and mature manner.</li><li>Advanced understanding modern data warehouse practices</li><li>Experience with relational SQL and NoSQL databases, including MS SQL Server.</li><li>Experience building AWS infrastructure.</li></ul> PrincePerelson & Associates is an Equal Opportunity Employer and we do not discriminate against applicants due to race, color, religion, sex, national origin, age, disability, genetics, veteran status, or on the basis of disability or any other federal, state or local protected class. All applicants applying for U.S. job openings must be authorized to work in the United States.

Ochin Data Engineer Interview Guide

Overview

Ochin Data Engineer Salary

Ochin Data Engineer Interview Process

Ochin Data Engineer Interview Questions

Ochin Data Engineer Jobs