Senior Data Ops Engineer

R-15257

Updated on 11/30/2023

5,001-10,000 employees

Website

Business intelligence products for companies

Company Overview

Dun & Bradstreet seeks to create a global network of trust enabling clients to turn uncertainty into confidence, risk into opportunity, and potential into prosperity. The company is building on its world-class data and analytics—Dun & Bradstreet Data Cloud—to deliver more data and deeper insights.

Financial Services

Data & Analytics

Company Stage

Seed

Total Funding

$385.4M

Founded

1840

Headquarters

Jacksonville, Florida

Growth & Insights

Headcount

6 month growth

↓ -4%

1 year growth

↑ 1%

2 year growth

↑ 1%

Locations

Austin, TX, USA

Experience Level

Entry

Junior

Mid

Senior

Expert

Desired Skills

Agile

AWS

Bash

Confluence

Data Analysis

Development Operations (DevOps)

Docker

Google Cloud Platform

JIRA

Git

Redshift

SQL

Kubernetes

Python

Quality Assurance (QA)

CategoriesNew

QA & Testing

DevOps & Infrastructure

Software Engineering

Requirements

Extensive experience working with GCP services, including Big Query, Dataflow, Pub/Sub, Cloud Storage, Cloud Run, Cloud Functions and related technologies is required.
Extensive experience with SQL and relational databases, including optimization and design.
Expertise in containerized infrastructure and CI/CD systems, including CloudBuild, Docker, Kubernetes, and GitHub Actions.
Testable and efficient Python coding for data processing and analysis.
Experience with Amazon Web Services (EC2, RDS, S3, Redshift, EMR, and more).
Experience with OS level scripting (bash, sed, awk, grep, etc.).
Experience in AdTech, web cookies, and online advertising technologies.
Familiarity with parallelization of applications on a single machine and across a network of machines.
Experience with version control (GIT/Github/BitBucket) and Agile Project Management tools (Clickup/Jira/Confluence).
Experience with object-oriented programming, functional programming a plus.
Analytic tools and ETL/ELT/data pipeline frameworks a plus.

Responsibilities

Collaborate with the data, platform, QA, and DevOps teams to design and construct advanced systems for processing, analyzing, searching, and visualizing vast datasets.
Architect resilient systems and write highly fault-tolerant software to consistently deliver high-quality results.
Take initiative to become familiar with existing application code and achieve a complete understanding of how the applications function.
Pioneering novel methods for extracting intelligence from a wide array of unique data sources.
Generate fresh insights for our clients, provide novel perspectives on their markets.
Co-create and document data processing systems that are easy to maintain, fostering collaborative and supportive team environment.
Help maintain existing systems, including troubleshooting and resolving alerts.
Be a good collaborator with your peers. Be easy to get ahold of and attend all required meetings.
Share ideas across teams to spread awareness and use of frameworks and tooling.
Share a friendly, supportive, and reliable attitude with a great team that hold each other accountable.

Desired Qualifications

Analytic tools and ETL/ELT/data pipeline frameworks
Experience with object-oriented programming, functional programming

Why We Work at Dun & Bradstreet

Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us!

This Role:

Develop, maintain, and analyze datasets from diverse sources, including mobile and web, government agencies, web crawls, social media, and proprietary datasets, to create insights for our clients, power our platform, and create an innovative market understanding. Create designs and share ideas for creating and improving data pipelines and tools.

This position is a hybrid role and will need to be in Austin office 2 days a week - NO REMOTE

Key Requirements:

Collaborate with the data, platform, QA, and DevOps teams to design and construct advanced systems for processing, analyzing, searching, and visualizing vast datasets.
Architect resilient systems and write highly fault-tolerant software to consistently deliver high-quality results.
Take initiative to become familiar with existing application code and achieve a complete understanding of how the applications function.
Pioneering novel methods for extracting intelligence from a wide array of unique data sources.
Generate fresh insights for our clients, provide novel perspectives on their markets.
Co-create and document data processing systems that are easy to maintain, fostering collaborative and supportive team environment.
Help maintain existing systems, including troubleshooting and resolving alerts.
Be a good collaborator with your peers. Be easy to get ahold of and attend all required meetings.
Share ideas across teams to spread awareness and use of frameworks and tooling.
Share a friendly, supportive, and reliable attitude with a great team that hold each other accountable.

This position is a hybrid role and will need to be in Austin office 2 days a week - NO REMOTE

Key Requirements:

Extensive experience working with GCP services, including Big Query, Dataflow, Pub/Sub, Cloud Storage, Cloud Run, Cloud Functions and related technologies is required.
Extensive experience with SQL and relational databases, including optimization and design.
Expertise in containerized infrastructure and CI/CD systems, including CloudBuild, Docker, Kubernetes, and GitHub Actions.
Testable and efficient Python coding for data processing and analysis.
Experience with Amazon Web Services (EC2, RDS, S3, Redshift, EMR, and more).
Experience with OS level scripting (bash, sed, awk, grep, etc.).
Experience in AdTech, web cookies, and online advertising technologies.
Familiarity with parallelization of applications on a single machine and across a network of machines.
Experience with version control (GIT/Github/BitBucket) and Agile Project Management tools (Clickup/Jira/Confluence).
Experience with object-oriented programming, functional programming a plus
Analytic tools and ETL/ELT/data pipeline frameworks a plus.

This position is a hybrid role and will need to be in Austin office 2 days a week - NO REMOTE

Benefits We Offer

· Generous paid time off in your first year, increasing with tenure.

· Up to 16 weeks 100% paid parental leave after one year of employment.

· Paid sick time to care for yourself or family members.

· Education assistance and extensive training resources.

· Do Good Program: Paid volunteer days & donation matching.

· Competitive 401k & Employee Stock Purchase Plan with company matching.

· Health & wellness benefits, including discounted Gympass membership rates.

· Medical, dental & vision insurance for you, spouse/partner & dependents.

· Learn more about our benefits: http://bit.ly/41Yyc3d.

All Dun & Bradstreet job postings can be found at https://www.dnb.com/about-us/careers-and-people/joblistings.html. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever’s Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

Equal Employment Opportunity (EEO): Dun & Bradstreet is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. View the EEO is the Law poster here and its supplement here. View the pay transparency policy here.