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Data Engineer (Remote in US)

Company Description

MRI-Simmons Research is a leading consumer insights company? We are an established organization, with a great brand, that is aggressively reinventing itself through investments in technology and people! The innovative private equity firm, Symphony Technology Partners, also backs us.

MRI-Simmons measures consumer preferences, attitudes and behaviors. We do this by collecting data through surveys and passively measure data in a way that is representative of the general population, applying data science and making sense of consumer data through enterprise-grade software.  Marketers and media companies then use MRI-Simmons data and technology to develop marketing strategies, consumer segmentation schemes and media activation approaches.

We are seeking a highly skilled and experienced data engineer to join our team. As a Data engineer, you will play a crucial role in designing, developing and maintaining robust data pipelines and architecture. Skilled with data modeling, ETL (Extract, Transform, Load) processes and storage to enhance data accessibility, reliability, and performance.

Job Description

As Data Engineer, you will have following key accountabilities:

  • Design, implement and maintain scalable pipelines and architecture to collect, process, and store data from various sources.
  • Unit test and document solutions that meet product quality standards prior to release to QA.
  • Identify and resolve performance bottlenecks in pipelines due to data, queries and processing workflows to ensure efficient and timely data delivery.
  • Implement data quality checks and validations processes to ensure accuracy, completeness and consistency of data delivery.
  • Work with Data Architect and implement best practices for data governance, quality and security.
  • Collaborate with cross-functional teams to identify and address data needs.
  • Ensure technology solutions support the needs of the customer and/or organization.
  • Define and document technical requirements.

Qualifications

  • Strong PL/SQL, SQL development skills
  • Proficient in multiple languages used in data engineering such as Python, Java.
  • Minimum 3-5 years of experience in Data engineering working with Oracle and MS SQL.
  • Experience with data warehousing concepts and technologies including cloud-based services (e.g. Snowflake).
  • Experience with cloud platforms like Azure and knowledge of infrastructure.
  • Experience with data orchestration tools (e.g. Azure Data Factory, DataBricks workflows)
  • Understanding of data privacy regulations and best practices.
  • Experience working with remote teams
  • Experience working on a team with a CI/CD process.
  • Familiarity using tools like Git, Jira.
  • Great problem-solving abilities.
  • Great work ethics.
  • Bachelor's degree in Computer Science or Computer Engineering.

Additional Information

This role has a market-competitive salary with an anticipated base compensation of the following range $84k to $120k. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a sales-based incentive or performance-based bonus. Other benefits include flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support and more.

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

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CEO of NielsenIQ
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Average salary estimate

$102000 / YEARLY (est.)
min
max
$84000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer (Remote in US), NielsenIQ

As a Data Engineer with MRI-Simmons Research, you'll join a vibrant and forward-thinking team dedicated to harnessing the power of consumer insights. Our company, a major player in the consumer research landscape backed by the innovative Symphony Technology Partners, is all about data. We leverage cutting-edge technology to analyze consumer behaviors, attitudes, and preferences through extensive surveys and data collection methods. In this pivotal role, you will design, build, and maintain scalable data pipelines and architectures essential for our operations. Your expertise in data modeling, ETL processes, and modern cloud technologies will directly enhance the way we deliver insights to marketers and media companies. You’ll collaborate closely with cross-functional teams to identify data needs, ensuring we meet and exceed the expectations of our clients. With responsibilities that include implementing data quality checks and addressing performance bottlenecks, every day will be an exciting challenge to improve our data governance and security protocols. The dynamic nature of this position allows for innovative problem-solving and the opportunity to document solutions that maintain our high product quality standards. If you're looking to advance your career in a company that prioritizes technological investment and personal development, MRI-Simmons is the place for you.

Frequently Asked Questions (FAQs) for Data Engineer (Remote in US) Role at NielsenIQ
What does a Data Engineer at MRI-Simmons Research do?

A Data Engineer at MRI-Simmons Research is responsible for designing, building, and maintaining data pipelines and architectures that support the company's consumer insights operations. This role involves working with various data sources, quality checks, and collaborating with teams to identify and meet data needs.

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What skills are required for the Data Engineer position at MRI-Simmons Research?

To succeed as a Data Engineer at MRI-Simmons Research, candidates should possess strong SQL skills, experience with programming languages like Python and Java, and familiarity with data warehousing concepts and cloud platforms, particularly Snowflake and Azure.

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What is the work environment like for a Data Engineer at MRI-Simmons Research?

MRI-Simmons Research offers a flexible working environment for their Data Engineers, allowing for remote work while promoting collaboration and teamwork through modern communication tools.

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What kind of projects will a Data Engineer work on at MRI-Simmons Research?

A Data Engineer at MRI-Simmons Research will work on projects involving the collection, processing, and analysis of consumer data to create insights that drive marketing strategies and enhance customer experiences.

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What is the salary range for a Data Engineer at MRI-Simmons Research?

The anticipated salary for a Data Engineer at MRI-Simmons Research ranges from $84,000 to $120,000, depending on experience, qualifications, and specific skills. Additional performance-based incentives and bonuses may also be available.

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What kind of career growth opportunities does MRI-Simmons Research provide for Data Engineers?

MRI-Simmons Research is committed to employee growth, offering education support and career advancement opportunities within the organization, allowing Data Engineers to enhance their skills and progress in their careers.

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How does MRI-Simmons Research ensure data quality and security for its Data Engineers?

At MRI-Simmons Research, Data Engineers are involved in implementing data quality checks, validation processes, and adhering to best practices for data governance and security to ensure reliable and accurate data delivery.

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Common Interview Questions for Data Engineer (Remote in US)
Can you explain your experience with SQL and PL/SQL as a Data Engineer?

When answering this question, be specific about your experiences with SQL and PL/SQL, detailing how you have used them in previous projects. Highlight specific challenges you faced and how you resolved them, showing your depth of knowledge and practical application.

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What data modeling techniques are you familiar with in your role as a Data Engineer?

Discuss various data modeling techniques you have used, such as dimensional modeling, normalization, or denormalization. Provide examples of how these contributed to successful data architectures in your past positions.

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Describe a complex ETL process you have worked on in your previous positions.

Share a detailed account of an ETL process you’ve handled, outlining the steps involved, the tools you used, and the outcome. This showcases your technical ability and problem-solving skills.

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How do you approach performance bottlenecks in your data pipelines?

Explain your systematic approach to identifying performance bottlenecks, including the tools and techniques you employ. Illustrate with a real-world example where you successfully optimized pipeline performance.

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What cloud platforms have you worked with, and how do you leverage them in data engineering?

Discuss your hands-on experience with cloud platforms such as Azure or Snowflake, elaborating on specific projects or tools you have used to enhance data processing and analytics capabilities.

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Can you give an example of a collaborative project where you worked with cross-functional teams?

Provide a narrative of a collaborative project, emphasizing your role, how you coordinated with different teams, and the resulting impact of your collective efforts on the project's success.

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What strategies do you use to ensure data governance and privacy?

Discuss the best practices and strategies you implement to maintain data governance and protect privacy. Highlight compliance with regulations, tools used, and your overall philosophy regarding data security.

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How do you ensure the accuracy and consistency of data you deliver?

Articulate your methods for implementing data quality checks and validations throughout the data pipeline. Discuss the significance of accuracy in your work as a Data Engineer.

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What tools do you use for version control and project management?

Describe your experience with tools like Git and project management platforms such as Jira, emphasizing how these tools help you in maintaining code quality and facilitating teamwork.

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What motivates you in your role as a Data Engineer?

Share your personal motivations related to data engineering, such as problem-solving, innovation, and contributing to data-driven decisions. Relate your answer to specific aspects of MRI-Simmons Research’s mission.

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Full-time, remote
DATE POSTED
November 24, 2024

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