Investigate and resolve client-facing tickets, including data investigations and analysis of the business logic behind our data
Develop automation and tooling that streamlines ticket handling and reduces recurring operational work
Script in Python and SQL extensively
Create reports and data visualizations using analysis tools such as Splunk and Grafana
Work with Databricks, BigQuery, Snowflake, OLTP databases, MongoDB, and similar technologies
Work with Kubernetes, Docker, Terraform, Helm charts, and related tools
Build strong relationships with teams across the company, solve operational issues, and implement quality improvements
Participate in the on-call rotation - the rotation covers one week of on-call roughly every 5-6 weeks
About You
The ideal candidate is equally comfortable untangling a complex data issue and building the tooling that keeps it from happening again. They are curious about how data moves through a complex system and take pride in making it dependable for the clients who rely on it.
Required Experience & Skills
Bachelor's degree in CS or equivalent experience. Degree in a technical field preferred
3+ years of experience writing Advanced SQL and scripting languages, Python, bash, etc
3+ years of Linux experience
Experience working with Kubernetes, Docker, Terraform, Helm charts, and fundamentals of DevOps
3+ years of experience working with SQL/NoSQL Databases and data warehouses such as Databricks, BigQuery, Snowflake, MongoDB, etc.
Knowledge of Cloud computing fundamentals and experience working with public cloud providers such as GCP, AWS, Azure, etc.
Experience working with GitHub, CI/CD, GitLab, or other automation/delivery tools
Good understanding of BI and Data Warehousing concepts (ETL, OLAP vs. OLTP, Slowly Changing Dimensions)
Demonstrated ability to adapt quickly, learn new skill sets, and be able to understand operational challenges
Strong analytical, problem-solving, negotiation, and organizational skills with a clear focus under pressure
Must be proactive with a proven ability to execute multiple tasks simultaneously
Excellent interpersonal skills, including relationship building with diverse, global, cross-functional teams
Good understanding of process automation
Preferred Experience & Skills
Experience developing AI agents or LLM-based applications
Experience with LLM operations and observability, such as monitoring agents in production and measuring agent accuracy and performance
Previous experience in AdTech
This position is full-time and located in our New York City headquarters offices offering a hybrid work model from office and remote.
The successful candidate’s starting salary will be determined by a number of non-discriminatory factors, including qualifications for the role, level, skills, experience, location, and internal equity relative to peers at DV.
The estimated salary range for this role, based on the qualifications set forth in the job description, is between $94,000 $175,000. This role will also be eligible for bonus/commission (as applicable), equity, and benefits.
The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles and recognize that the person we hire may be more or less experienced than this job description as posted.
Not-so-fun fact: Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!
