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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

Want to keep up with our latest updates?

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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

Are you a Data Engineer looking to make an impact in the world of consumer insights? Join the fantastic team at MRI-Simmons Research, a leader in this industry that is reinventing itself with cutting-edge technology and a people-focused approach! As a remote Data Engineer, you’ll be pivotal in creating and maintaining scalable data pipelines and robust architectures that ensure our data is accessible and reliable. Your expertise in PL/SQL and SQL, along with your proficiency in languages like Python and Java, will help us streamline our data processes and enhance performance. Imagine collaborating with talented individuals from diverse backgrounds as you tackle data challenges head-on, all while working remotely from the comfort of your home. You’ll be responsible for implementing best practices in data governance and security, while keeping an eye on data quality and performance. Plus, with a competitive salary and benefits like a flexible work environment and education support, this opportunity is not just a job, but a career move that allows you to thrive both personally and professionally. Join us at MRI-Simmons, where your skills as a Data Engineer will shine, and your contributions will influence the future of consumer data analytics.

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

As a Data Engineer at MRI-Simmons Research, you will design, develop, and maintain large-scale data pipelines and architecture. Your role involves working with data from various sources, handling ETL processes, and ensuring the accuracy and reliability of data deliveries, making you integral to our mission of providing top-notch consumer insights.

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

To qualify for the Data Engineer position at MRI-Simmons Research, you'll need a Bachelor's degree in Computer Science or a related field, alongside 3-5 years of relevant experience in data engineering. Skills in PL/SQL, SQL, Python, and cloud platforms like Azure and Snowflake are crucial as well.

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What is the work environment like for Remote Data Engineers at MRI-Simmons?

Remote Data Engineers at MRI-Simmons Research enjoy a flexible working environment, allowing you to craft your work-life balance effectively. Our culture emphasizes collaboration, innovation, and problem-solving, with access to tools that facilitate remote teamwork.

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What technology stack does a Data Engineer use at MRI-Simmons Research?

As a Data Engineer at MRI-Simmons Research, you will work with a variety of technologies, including PL/SQL, SQL, Python, and Java. Additionally, familiarity with cloud services like Snowflake, Azure Data Factory, and CI/CD practices is important for ensuring efficient data processes.

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How does MRI-Simmons Research ensure data quality for its clients?

MRI-Simmons Research prioritizes data quality by implementing comprehensive validation processes and data governance practices. As a Data Engineer, you will play a vital role in identifying bottlenecks and enhancing performance to ensure our data is accurate, complete, and consistent.

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What are the growth opportunities for a Data Engineer at MRI-Simmons Research?

At MRI-Simmons Research, Data Engineers have numerous growth opportunities. With access to ongoing education support and professional development resources, you can enhance your skills and advance your career within this innovative environment.

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What benefits does MRI-Simmons Research offer its Data Engineers?

MRI-Simmons Research offers a competitive salary range of $84k to $120k for Data Engineers, along with comprehensive health insurance, flexible working conditions, industry-leading parental leave, and more to support your overall well-being.

Join Rise to see the full answer
Common Interview Questions for Data Engineer (Remote in US)
How do you approach designing a data pipeline?

When designing a data pipeline, focus on scalability, data integrity, and performance optimization. Start by identifying the data sources, then outline the flow from ETL processes to data storage, ensuring you build with monitoring and validation at each stage.

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Can you explain your experience with data warehousing?

Discuss your hands-on experience with data warehousing concepts, particularly in building and maintaining data warehouses. Include specific technologies you've used and any challenges you faced, followed by your strategies for overcoming them.

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What strategies do you employ to ensure data quality?

To ensure data quality, I implement validation checks throughout the ETL process and perform regular audits. I also focus on data standardization and create clear documentation for data handling procedures.

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How do you handle performance issues in data pipelines?

When facing performance issues, I analyze query performance, review data structures, and optimize ETL processes. I utilize profiling tools to identify bottlenecks, enabling me to make insightful adjustments accordingly.

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What languages and tools are you proficient in for data engineering?

I am proficient in several languages, including SQL, PL/SQL, Python, and Java. Additionally, I have hands-on experience with orchestration tools, such as Azure Data Factory, and version control systems like Git for collaboration.

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Describe a challenging data engineering project you worked on.

In a challenging data engineering project, I collaborated with a cross-functional team to integrate multiple data sources into a unified warehouse. Key challenges included data discrepancy and ensuring real-time processing, which we addressed through robust ETL strategies.

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How familiar are you with cloud technologies in data engineering?

I have extensive experience working with cloud-based services, particularly Azure and Snowflake. This experience includes setting up data storage solutions, data orchestration, and ensuring data security measures aligned with organizational standards.

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What best practices do you follow for data governance?

For data governance, I follow best practices such as data stewardship processes, compliance with data privacy regulations, and implementing access controls to safeguard sensitive information while maintaining transparency in data usage.

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How do you keep your skills updated in the evolving data engineering landscape?

I stay updated on the latest trends in data engineering by following industry blogs, participating in webinars, and engaging in continuing education programs, such as those offered through platforms like LinkedIn Learning.

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What role does collaboration play in your work as a Data Engineer?

Collaboration plays a crucial role in my work, as I often need to liaise with data architects, analysts, and other engineers to understand requirements and deliver optimal solutions. I believe in open communication and actively seek feedback to enhance project outcomes.

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Full-time, remote
DATE POSTED
November 21, 2024

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