Senior Data Engineer

Posted Yesterday
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Englewood Cliffs, NJ
5-7 Years Experience
Big Data • Cloud • Software
Empower every company operating in the cloud to own their own data.
The Role
As a Senior Data Engineer, you will provide technical leadership, design and implement data architecture and pipelines, manage data quality, and lead a team while working with various data sources and business stakeholders to enhance analytical capabilities.
Summary Generated by Built In

Own is the leading data platform trusted by thousands of organizations to protect and activate SaaS data to transform their businesses. Own empowers customers to ensure the availability, security and compliance of mission-critical data, while unlocking new ways to gain deeper insights faster. By partnering with some of the world’s largest SaaS ecosystems such as Salesforce, ServiceNow and Microsoft Dynamics, Own enables customers around the world to truly own the data that powers their business.

It’s their platform. It’s your data. Own it.

The Job

The Data and Analytics team at Own seeks an outstanding Senior Data Engineer (Tech Lead) to work with a team of Data Engineers, Business Intelligence Analysts, Analytics Engineers, Data Scientists and business stakeholders to create and leverage datasets that help measure, interpret, scale and grow our business. 

The successful candidate will provide technical guidance to an existing team of Data Engineers while preparing and analyzing large volumes of customer, product, marketing, sales and system activity data.  This position requires passion for working with data in the context of business processes, a good analytical mindset, business acumen, excellent communication skills and creativity. The ideal candidate needs to be a hands-on engineer with potential to grow into a people manager, and be able to communicate well with business and technical personnel.

Your Day-to-Day Role

  • Provide technical leadership to the existing team of Data Engineers
  • Design, implement, and maintain the data architecture and pipelines, and navigate permissions/compliance requirements to onboard new datasets while balancing performance and cost
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Python, Snowflake, and AWS technologies
  • Implement ETL to collect data from disparate sources (in motion or at rest) to support critical business operations
  • Build and integrate tools to monitor and ensure data quality and reliability
  • Identify, design, and implement internal processes and infrastructure for greater scalability
  • Share in the ownership of the technical vision and direction for advanced analytics and insight products/services

Tech Stack: Snowflake, dbt, Airflow, Git, Python, Fivetran, AirByte,Tableau

Your Work Experience

  • Bachelor's or higher degree in technical field (analytics focus preferred) with a minimum of 5 years experience working with structured and unstructured data as a Data Engineer
  • Advanced, hands-on experience with SQL, Python, data modeling, data warehouse architectures, data warehouse administration (specifically Snowflake), AWS technologies and building ETL pipelines
  • Experience with software engineering best practices across the development lifecycle, and comfortable working and managing development using Agile methodologies. 
  • Experience in deployment automation & containerization (Docker, Kubernetes), scripting languages (Python), and data pipeline, workflow and development management tools (Airflow, dbt, etc.)
  • Experience with developing and executing automated test procedures
  • Excellent written and spoken communication skills. Ability to convey complex technical concepts to business stakeholders required
  • Robust project management skills and experience, and the ability to keep track of timelines and deliverables involving multiple projects and initiatives involving participants from different teams required

Important Details

This is a full-time position. The ideal candidate will work out of our Englewood Cliffs, NJ office a minimum of 3 days per week to maximize collaboration and interaction with the business. Travel may be required.

Own is dedicated to creating an environment where employees thrive, which is why base pay is only one part of the total compensation package that is provided to compensate and recognize employees for their work. This role may also be eligible for unlimited PTO, generous medical benefits, a 401(k) savings plan with a 4% employer match, discretionary bonuses/incentives, and stock options. We also offer catered lunches in the office five days a week, a full fitness center, and free shuttle bus service to and from New York City.

Creating an environment where employees thrive also means making sure every employee feels accepted. As we scale to help all types of companies protect precious data, our team must reflect the diversity we serve. Own is an Equal Opportunity Employer and we believe that every employee in the company brings a unique perspective that they can and should contribute in order to make an impact every day. We strive to be one team and one culture that builds trust through transparency. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, age, national origin, protected veteran status or disability status.

Learn more at owndata.com.

#LI-Onsite

Top Skills

Python
SQL
The Company
HQ: Englewood Cliffs, NJ
786 Employees
Hybrid Workplace
Year Founded: 2015

What We Do

Own is the leading data platform trusted by thousands of organizations to protect and activate SaaS data to transform their businesses. Own empowers customers to ensure the availability, security and compliance of mission-critical data, while unlocking new ways to gain deeper insights faster. By partnering with some of the world’s largest SaaS ecosystems such as Salesforce, ServiceNow and Microsoft Dynamics 365, Own enables customers around the world to truly own the data that powers their business.
It’s their platform. It’s your data. Own it.

Learn more at owndata.com.

Why Work With Us

We offer tremendous opportunities for career advancement and collaboration among some of the best global technology talent.

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