Software, Data Analytics, Sales & Marketing Technology

Senior Analytics Engineer

RemoteRemoteFull TimeSeniorPosted 25 days ago

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Required skills

SQL
dbt
Python
Snowflake
Databricks
BigQuery
Redshift
dimensional modeling
data quality
data pipelines

Nice to have

data cataloging
data lineage
AI Platform

Role summary

ZoomInfo is seeking a Senior Analytics Engineer to join their Enterprise Data Engineering team. This role involves designing, building, and maintaining scalable data models and pipelines to support data-driven decision-making. Responsibilities include collaborating with cross-functional teams, establishing data definitions and metrics, improving infrastructure reliability, and implementing data quality practices. The ideal candidate will have 4+ years of experience in analytics or data engineering, strong SQL and data modeling skills, experience with cloud data warehouses (Snowflake, BigQuery, etc.), dbt, and Python. Familiarity with data governance, cataloging, and CI/CD is also preferred.

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen fast.

We are seeking an experienced Senior Analytics Engineer to join the Enterprise Data Engineering team at ZoomInfo.

As an Analytics Engineer, you will play a pivotal role in advancing the maturity of our data organization. Working cross-functionally with Engineering, Product, Security and business stakeholders, you’ll design, build, and own the core infrastructure and data models that power data-driven decision-making across the organization.

What You’ll Do

Design, develop, and maintain scalable analytics data models that support reporting, business intelligence, product analytics, and operational decision-making.

Build and manage trusted data pipelines and transformation workflows using modern analytics engineering practices.

Partner with stakeholders across Engineering, Product, Design, Strategy & Operations, and AI Platform to understand business needs and translate them into effective data solutions.

Establish clear definitions, metrics, dimensions, and data contracts to create consistency across teams and use cases.

Develop reusable datasets and semantic models that enable self-service analytics and reduce duplicated work.

Improve the reliability, performance, observability, and maintainability of analytics infrastructure.

Implement data quality checks, testing, documentation, lineage, and monitoring for critical data assets.

Collaborate with data engineers and platform teams to optimize data architecture, warehouse performance, and transformation workflows.

Work with analysts, data scientists, and business partners to ensure data products are intuitive, discoverable, and fit for purpose.

Help establish best practices for analytics engineering, including version control, code review, CI/CD, documentation, and deployment standards.

Communicate technical concepts clearly to both technical and non-technical audiences.

What You’ll Bring

4+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a related field.

Strong SQL skills, including experience developing complex queries and dimensional data models.

Experience building and maintaining analytics transformations using tools such as dbt or comparable frameworks.

Proficiency in Python or another programming language used for data processing and automation.

Experience working with modern cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift.

Strong understanding of data modeling concepts, including dimensional modeling, fact and dimension tables, slowly changing dimensions, and semantic layers.

Experience implementing data quality testing, monitoring, documentation, and observability practices.

Demonstrated ability to partner with cross-functional stakeholders and translate ambiguous business questions into scalable data solutions.

Strong communication, problem-solving, and organizational skills.

A thoughtful approach to data governance, security, privacy, and responsible use of data.

Familiarity with data cataloging and lineage tools.

Our Tech Stack

Warehousing: Snowflake as the primary warehouse; BigQuery for GCP-native workloads

Ingestion: Fivetran for SaaS-to-Snowflake pulls; Airflow (on AWS) for custom DAGs, Lambda-based extraction, and S3 staging

Modeling: dbt for transformation and semantic layer definition

Custom compute: Databricks for bespoke modeling work that doesn't fit cleanly into dbt/Snowflake

Infrastructure: Terraform for managing Fivetran connections, GCP infrastructure, and AWS resources

Version control & CI/CD: GitHub

Consumption: Tableau dashboards; internal tools built on top of semantic data layers

#LI-JH1 #LI-Remote

About us:

ZoomInfo (NASDAQ: GTM), the all-in-one AI GTM platform, enables sales, marketing, and customer success teams to execute their go-to-market strategy with confidence. Powered by the industry's most comprehensive B2B data, including more than 100 million companies, 500 million contacts, and billions of signals, ZoomInfo delivers the intelligence, automation, and integrations that modern revenue teams need to identify, engage, and convert their best buyers.

ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

Sample ZoomInfo Technologies LLC interview questions

1
What security policies should be considered when resetting an Active Directory password?
technicalmedium
2
How would you use Windows RE to restore a system to a working state?
technicalmedium
3
How do balanced and unbalanced binary trees affect search performance?
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4
Merge a New Interval Merge a new interval into a list of non-overlapping intervals. Input: intervals = [[1,2],[3,5],[6,7],[8,10],[12,16]], newInterval = [4,8] Output: [[1,2],[3,10],[12,16]] Explanation: The new interval overlaps with [3,5], [6,7], and [8,10], merging them all into the unified block [3,10].
codingmedium
5
Determine if a string can be a palindrome after deleting at most one character.
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