NielsenIQ Logo

NielsenIQ

Principal Data Engineer

Posted 7 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Colonia México, Nezahualcóyotl, México
Senior level
Remote or Hybrid
Hiring Remotely in Colonia México, Nezahualcóyotl, México
Senior level
Design, build, and maintain scalable ETL pipelines and a resilient data platform. Automate infrastructure and deployments, orchestrate workflows with Airflow, optimize performance, ensure data quality and security, and collaborate with engineering and DevOps teams to deliver cloud-based data solutions for financial services products.
The summary above was generated by AI
Company Description

NielsenIQ (NIQ) is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior. With operations in more than 90 countries, NIQ provides manufacturers and retailers with accurate, actionable insights to innovate and grow.

Job Description

NIQ is looking for a Senior Data Platform Engineer to join our Financial Services Engineering team.

At NIQ, the Financial Services team uses alternative datasets to help global public equity investors (hedge funds, mutual funds, pension funds) make better investment decisions. We work with some of the largest hedge funds in the world. As a Principal Data Platform Engineer, you will be at the cutting edge of the alternative data space where you will help maintain and improve our data platform, which enables us to develop market research products and delivery data to our customers. In this role, you would also get the opportunity to work with world-class big data and cloud services, such as: AWS, Azure, Snowflake, Databricks, DBT, Airflow, and Looker. Apply now to start taking your career to the next level.

Who we are looking for:

  • You have a strong entrepreneurial spirit and a thirst to solve difficult challenges through innovation and creativity with a strong focus on results
  • You have a passion for data and the insights it can deliver
  • You are intellectually curious with a broad range of interests and hobbies
  • You take ownership of your deliverables
  • You have excellent analytical communication and interpersonal skills
  • You have excellent communication skills with both technical and non-technical audiences
  • You can work with distributed teams situated globally in different geographies
  • You want to work in a small team with a start-up mentality
  • You can work well under pressure, prioritize work and be well organized. Relish tackling new challenges, paying attention to details, and, ultimately, growing professionally.

Responsibilities:

  • Design, develop, and maintain robust and scalable data pipelines that support the extraction, transformation, and loading of data from various sources into our data platform.
  • Build and extend our automation tools for infrastructure provisioning, auto-scaling, code deployment, monitoring, alerting, reporting, and failover.
  • Collaborate with the engineering team to build and maintain a resilient data platform, ensuring high availability, reliability, and performance.
  • Leverage your expertise in Apache Airflow to orchestrate and manage complex ETL workflows efficiently.
  • Optimize data pipeline performance, troubleshoot issues, and ensure data quality and accuracy through monitoring, testing, and validation.
  • Keep up to date with the latest trends in data engineering and evaluate and introduce new technologies and tools to improve our data infrastructure.
  • Drive the design and implementation of data security and access control policies to protect sensitive information.
  • Collaborate with the DevOps team to ensure seamless deployment and monitoring of data pipelines and workflows.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
  • 7+ years of experience as a Data Engineer with a strong background in ETL processes and data warehousing.
  • 4+ years of experience with Apache Airflow for orchestrating data pipelines.
  • Proficiency in using ETL tools and frameworks such as Apache Spark, Matillion.
  • Strong software engineering fundamentals, including proficiency in Python, Java, or other relevant languages.
  • Knowledge of data modeling, data warehousing, and SQL.
  • Expertise in working with both structured and unstructured data.
  • Experience with cloud-based data solutions, such as AWS, GCP, or Azure.
  • Solid understanding of data storage, data transformation, and data integration concepts.
  • Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
  • Strong communication and team collaboration skills.
  • Knowledge of data security and encryption best practices is a plus.
  • Ability to work in a global, (English required, interviews will be completed in english)

Additional Information

Our Benefits

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

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

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?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.  All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

HQ

NielsenIQ Chicago, Illinois, USA Office

200 W Jackson Blvd, Chicago, IL, United States, 60606

Similar Jobs

3 Days Ago
Remote
Senior level
Senior level
Information Technology • Software
Lead design, development, and optimization of cloud-native data platforms and ETL/ELT pipelines. Architect data models, enforce engineering best practices, implement orchestration (Airflow/dbt), monitoring, and data quality frameworks. Mentor engineers, drive architectural decisions, ensure security and governance, and support analytics and machine learning initiatives across teams.
Top Skills: AirflowAWSAzureCi/CdData LakeData VaultData WarehouseDbtEltETLGCPPythonSnowflake SchemaSQLStar Schema
24 Days Ago
Remote
6K-13K Annually
Senior level
6K-13K Annually
Senior level
Payments
The Principal Engineer will oversee data infrastructure, optimizing databases, and facilitating data systems for high volume processing while integrating new technologies.
Top Skills: AWSAws DmsAws RedshiftDbtElasticsearchGitGitlabGoKubernetesMySQLPostgresPythonSQLTypescript
8 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
Junior
Junior
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
The Account Executive will engage with small to medium customers, focusing on IoT sales. Responsibilities include prospecting, closing deals, and building relationships. Requires high-volume cold calling and a collaborative approach.
Top Skills: SFDC

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account