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We're Hiring - Senior Data Ops Engineer!

Jessica Jacobson Jul 12, 2021 5:33:34 PM

Reports to: VP of Engineering
Full Time
Bonus Incentives
Health Benefits


NetWise helps businesses make executive-level data-driven decisions using our proprietary B2B Data and B2B2C ID-Graph. We operate a B2B Audience Data Platform enabling marketers to quickly build, analyze, and activate marketing campaign audiences. Our unique data products allow our customers to advertise to the same person at work and at home, across every channel, on every device, via any sales or marketing platform. Additionally, our data powers leading ad & mar-tech platforms, and our products and engineered services are used by the fortune 1000, leading global advertising firms, as well as a myriad of SMBs. The company has been profitable since its inception and continues to grow. This job will be part of a dynamic team of experienced entrepreneurs and data experts.


Do you love inventing data processing pipelines and optimizing that architecture for speed and efficiency? Do you enjoy analyzing data and discovering actionable patterns and trends? Do you take pride in work that accelerates critical business processes? Yes? Then, this is the job for you. Work with massive datasets from mobile and web, government agencies, web crawls, social media, and dozens of proprietary data sets to create new information for our customers, new ways to understand their markets, and new tools to visualize the directions they should head.


- Design and build sophisticated systems to process, analyze, search, and visualize massive amounts of data.
- Architect robust systems and write software that is highly fault tolerant, producing high quality results.
- Invent innovative ways to extract intelligence from a myriad of unique data sources.
- Create new information for our customers, new ways to understand their markets, and new tools to visualize the directions they should head.
- Cooperatively design and document data processing systems that can be cleanly and easily maintained by a team.
- Share a friendly, supportive, and reliable attitude with a great team that hold each other accountable.
- Be inquisitive when you don't know something, and confident when you do.
- Thrive in a fast-paced AND relaxed startup environment.


- Extremely data driven and detail oriented
- Experience working with a remote development team.
- Suggested 5+ years of startup/consulting experience as a programmer or system architect.
- Experience with Linux & Amazon Web Services (EC2, RDS, S3, Redshift, and much more).
- Extreme proficiency with:
- Python for Data Processing
- ETL Workflow Orchestration Utilities (like Luigi or Airflow)
- SQL & Relational Databases (specifically Postgres/MySQL)
- Data Warehouses (specifically Redshift/Spectrum)
- Search Utilities (specifically Elasticsearch)
- Architecting and operating ETL Systems in Linux & AWS
- Large Scale Web Crawling & Data Processing
- Familiar with executing complex data processing tasks at massive scale
- Ability to test, debug, profile, and optimize software using Linux and language specific tools.
- Familiar 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).
- Excited by a startup environment: smart, ethical, friendly, hard-working and proactive (no exceptions).
- Excited by the idea of building scalable and reliable products.
- Desire to work Remotely (Current Team is in all four US time zones, Headquarters in Boca Raton, FL)


- Work with talented, collaborative, and friendly people who love what they do.
- Learn from our team that has decades of experience in data industries.
- Explore our markets alongside a team of experienced and dedicated entrepreneurs.
- Be at the forefront of the data revolution, working with some of the largest data companies in the world.
- Leverage our health benefits.
- Live and work anywhere you want in USA.

Send resume to jessica.jacobson@netwisedata.com