Data Reliability Engineer II

DoubleVerify is the leading independent provider of marketing measurement software, data and analytics that authenticates the quality and effectiveness of digital media for the world's largest brands and media platforms.
$70,000 - $139,000
Data
Mid-Level Software Engineer
Hybrid
1+ year of experience
Enterprise SaaS

Description For Data Reliability Engineer II

DoubleVerify is seeking a Data Reliability Engineer II to join their Data Operations Team. This role is integral in analyzing and externalizing DoubleVerify's data internally, as well as monitoring, troubleshooting, and improving various company data pipelines and technologies. The successful candidate will gain in-depth knowledge of data collection, processing, and externalization within DoubleVerify's architecture. They will script extensively in Python and SQL, work with data analysis tools like Grafana, and be part of the on-call rotation. The role involves working with technologies such as Databricks, BigQuery, Snowflake, OLTP, and MongoDB. The ideal candidate should have a Bachelor's degree in CS or equivalent experience, strong SQL querying skills, Linux environment experience, and a good understanding of BI and Data Warehousing concepts. They should be proactive, resourceful, and able to adapt quickly to new challenges. The role offers opportunities to build strong relationships across different teams, solve operational issues, and implement quality improvements. The salary range for this position is between $70,000 - $139,000, with additional benefits including bonus/commission eligibility and equity. DoubleVerify encourages applications from candidates who meet most, but not necessarily all, of the listed requirements, promoting diversity and inclusion in their hiring process.

Last updated 2 months ago

Responsibilities For Data Reliability Engineer II

  • Gain in-depth knowledge of how data is collected, processed, and externalized to clients within DoubleVerify's architecture
  • Script in python and SQL extensively
  • Work with data analysis tools such as Grafana to create reports and data visualization
  • Be part of the on-call rotation
  • Work with Databricks, BigQuery, Snowflake, OLTP, MongoDB, etc
  • Build strong relationships with different teams in the company, solving operational issues, and implementing quality improvements

Requirements For Data Reliability Engineer II

Python
Linux
MongoDB
  • Bachelor's degree in CS or equivalent experience. Degree in a technical field preferred
  • Strong SQL querying skills
  • 1+ years SQL experience
  • 1+ years Linux environment experience
  • 1+ years of experience writing SQL and scripting languages python, bash, etc
  • Good understanding of BI and Data Warehousing concepts (ETL, OLAP vs. OLTP, Slowly Changing Dimensions)
  • Demonstrated ability to quickly adapt, 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 proven ability to execute multiple tasks simultaneously
  • Resourceful, results orientated with the ability to get things done and overcome obstacles
  • Excellent interpersonal skills, including relationship building with diverse, global, cross-functional team
  • Proven ability to troubleshoot and problem solve in complex systems
  • Good understanding of process automation

Benefits For Data Reliability Engineer II

  • Bonus
  • Equity

Interested in this job?

Jobs Related To DoubleVerify Data Reliability Engineer II

Analytics Engineer, Strategy and Analytics

Analytics Engineer role at Novo focused on building and improving analytical architecture for decision making across product suite.

Data Engineer

Data Engineer position at Capco focusing on implementing enterprise data solutions and analytics for financial services clients.

Data Engineer

Data Engineer position at Ebury, working on data warehouse and ETL pipelines using modern cloud technologies in Madrid

Data Visualization Engineer

Data Visualization Engineer role at Tempus, building healthcare insights dashboards using SQL, Looker, and modern data warehouse technologies.

Data Engineer - Growth Team

Data Engineer position at Pigment focusing on growth initiatives, requiring Python/SQL expertise and 2+ years of experience, offering competitive benefits and hybrid work environment.