Associate Data Engineer

About Sayari: Sayari is the transparency company providing the public and private sectors with immediate visibility into complex commercial relationships by delivering the largest commercially available collection of corporate and trade data as a dynamic model of global ownership and trade activity. Sayari’s solutions harness this model to enable risk resilience, complex investigations, and clear-eyed business decisions. Sayari is headquartered in Washington, D.C., and its solutions are used by thousands of frontline analysts in over 35 countries.Our company culture is defined by a dedication to our mission of using open data to enhance visibility into global commercial and financial networks, a passion for finding novel approaches to complex problems, and an understanding that diverse perspectives create optimal outcomes. We embrace cross-team collaboration, encourage training and learning opportunities, and reward initiative and innovation. If you like working with supportive, high-performing, and curious teams, Sayari is the place for you.POSITION DESCRIPTIONSayari provides instant access to structured business information from hundreds of millions of corporate, legal, and trade records for a variety of use cases. As a member of Sayari's data team you will work with our Product and Software Engineering to build the graph that underlies Sayari’s products. Please note that we cannot provide H1B and/or Visa Sponsorship for this role at this time.nJob ResponsibilitiesBuild and maintain ETL pipelines to process and export record data to Sayari Graph applicationDevelop and improve entity resolution processesImplement logic to calculate and export risk informationWork with product team and other development teams to collect and refine requirementsRun and maintain regular data releases Required Skills & ExperienceExpertise with Python or a JVM programming language (e.g. Java, Scala)Expertise with SQL (e.g., Postgres) databases0-2+ years of experience designing, maintaining, and orchestrating ETL pipelines (e.g., Apache Spark, Apache Airflow) in cloud based environments (e.g., GCP, AWS, or Azure).Additional Preferred Skills & ExperiencesExperience with entity resolution, graph theory, and/or distributed computingExperience with KubernetesExperience working as part of an agile development team using Scrum, Kanban, or similarn$85,000 - $95,000 a yearThe target base salary for this position is $85000 - $95,000 USD plus bonus and equity. Final offer amounts are determined by multiple factors including location, local market variances, candidate experience and expertise, internal peer equity, and may vary from the amounts listed above.nBenefits: · 100% fully paid medical, vision, and dental for employees and their dependents· Generous time off; we observe all US federal holidays, close our office for a winter break (12/24-12/31), in addition to granting 18 PTO days and 10 sick days · Outstanding compensation package; competitive commissions for revenue roles and quarterly bonuses for non-revenue positions· A strong commitment to diversity, equity, and inclusion· Eligibility to participate in additional benefits such as 401k match up to 5%, 100% paid life insurance (up to $100,000 coverage),, and parental leave· A collaborative and positive culture - your team will be as smart and driven as you· Limitless growth and learning opportunities Sayari is an equal opportunity employer and strongly encourages diverse candidates to apply. We believe diversity and inclusion mean our team members should reflect the diversity of the United States. No employee or applicant will face discrimination or harassment based on race, color, ethnicity, religion, age, gender, gender identity or expression, sexual orientation, disability status, veteran status, genetics, or political affiliation. We strongly encourage applicants of all backgrounds to apply.Please mention the word **SUPPORTER** and tag RMTguMjM3Ljg5LjE5Nw== when applying to show you read the job post completely (#RMTguMjM3Ljg5LjE5Nw==). This is a beta feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.

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