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Data Engineer

Interos

Data Engineer

National
Full Time
Paid
  • Responsibilities

    Job Description

    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 doubled in size in 2020 and are planning a similar trajectory in 2021. Our offices are headquartered in Arlington, VA, we have presence in Menlo Park, CA and are hiring across the nation for remote team members.

    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 Data Engineer is responsible for delivering data management and ELT/automation solutions in the Interos data lake.  The Data Engineer will collaborate with analysts and engineers to build pipelines and transformations. You will turn high velocity data into high quality data at scale.

    DUTIES:

    • Collaborate with Research Analysts, Data Quality Analysts, and Data Operations Specialists to augment workflows with data technologies
    • Partner with Product to ensure external data sources are democratized (centralized, documented, unified, and accessible)
    • 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
    • Maintain data the Interos data dictionary
    • Partner with other teams to ensure effectiveness of data centralization processes
    • Resolve all internal data exceptions in timely and accurate manner
    • Analyze, query and manipulate data according to defined business rules and procedures
    • Be a change agent and drive innovation with your own ideas
    • Daily monitoring of data load processes to identify holes in data
    • Collaborate with other team members to design and implement improvement approaches
    • Assists with 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

    QUALIFICATIONS:

    • Bachelor's degree in Computer Science or closely related field or a foreign equivalent
    • 2+ years of software development experience
    • Ideal candidates will have experience with graph databases
    • Be comfortable working in and presenting data in spreadsheets
    • Experience with streaming data solutions / Kafka
    • Proven passion and expertise for the data quality discipline: Data profiling, Data Discovery, Information Chain and Root Cause analysis.
    • 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 a demonstrated passion for data and working in data-driven organizations
    • Have familiarity with data warehouse technologies and best practices.
    • Exceptional attention to detail
    • Excellent written and verbal skills

    BENEFITS

    • 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 HR@interos.ai