Senior Data Engineer


September 21, 2020

Interos, founded by Jennifer Bisceglie, is one of the most transformative technologically advanced platforms that powers the global economy supply chain. By using ML and big data, Interos aspires to dynamically and continuously map all of a company’s business relationships to multiple tiers of dependency on a global scale and endeavors to help customers understand risk in their multi-tier, global supply chains. The scope of this value proposition extends across a variety of different technology sectors including risk management, supply chain intelligence, financial intelligence and cyber-security. Interos has raised $26M in total funding from Venrock, led by Nick Beim, and Kleiner Perkins, led by Ted Schlein. We have 70+ employees and are poised to double in size by end of 2020. Our offices are headquartered in Arlington, VA and we have presence in Menlo Park, CA.
We need an extraordinary team member who thrives as part of a fast-paced team and takes pride in their ability to succeed while delivering value to our customers. Be challenged by innovation and grow professionally by solving one of the most interesting challenges impacting businesses across the globe. 
The Opportunity:
The Senior Data Engineer will play a key role on the Data Governance team, partnering with analysts to identify, design, and deliver solutions that automate otherwise manual data management tasks. The Sr. Data Engineer will be responsible for the architecture of the Interos data lake and data pipelines, while mentoring other data engineers on the team.

Define and design Interos’ data lake and data pipeline architecture
Partner with Product to ensure external data sources are democratized (centralized, documented, unified, and accessible)
Collaborate with Research Analysts, Data Quality Analysts, and Data Operations Specialists to augment workflows with data technologies
Partner with Technology teams to ensure our data lake adds value to the Interos platform
Create automated data pipelines that provide analysts with clean data ready for analysis
Develop training programs to ensure users across the organization can effectively use the data lake
Partner with other teams to ensure effectiveness of data centralization processes
Partner with Machine Learning & Data Science teams to automate data extraction
Research and determine scope and complexity of issue so as to identify steps to fix issue
Resolve all internal data exceptions in timely and accurate manner
Analyze, query and manipulate data according to defined business rules and procedures
Serve as a steward of data integrity, applying rigorous standards for calculation of metrics and helping to drive adoption of data governance and data security best practices
Do the work of extracting, transforming and analyzing data with well-formed SQL queries and data and scientific libraries
Effectively train team members on data engineering activities
Collaborate with the leadership team to prioritize for and assign of work to the team
Be a change agent and drive innovation with your own ideas
In collaboration with others achieve technology improvement activities to ensure continuous enhancements of core platforms
Support ad-hoc data requests from internal/external clients for business continuity and ad-hoc analytics


Bachelor’s Degree in Computer Science or closely related field or foreign equivalent
5+ years of software development experience 
Ideal candidates will have experience with graph databases
Experience with streaming data solutions / Kafka
Strong Python, SQL, and other data-related technologies
Proven passion and expertise for the data quality discipline: Data profiling, Data Discovery, Information Chain and Root Cause analysis.
Have a demonstrated passion for data and working in data-driven organizations.
Familiarity with AWS S3, Snowflake, and other modern data warehouse & data lake technologies
Passionate about ELT and using tools that support agile data processes
Have familiarity with data warehouse technologies and best practices.
Have experience with one or more data BI visualization tools and/or libraries such as D3.
Experience in SQL, data warehouse, and data pipeline automation development.
Exceptional attention to detail
Excellent written and verbal skills


Comprehensive Health & Wellness package (Medical, Dental and Vision)
10 Paid Holiday Days Off
Accrued Paid Time Off (PTO)
401(k) Employer Matching
Stock Options
Career advancement opportunities
Casual Dress
On-site gym and dedicated Peloton room at headquarters
Company Events (Sports Games, Fitness Competitions, Birthday Celebrations, Contests, Happy Hours)
Annual company party
Employee Referral Program

Interos is proud to be an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, disability, protected veteran status or any other classification protected by law.
If you are a candidate in need of assistance or an accommodation in the application process, please contact

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