• Drive the technical strategy and execution for our engineering teams • Lead the development of a scalable, high-performance lending ecosystem from customer onboarding to checkout • Architect and build customer-centric financial products, ensuring a frictionless and optimized user experience and orchestrating large-scale financial transactions • Define and execute the technical vision and best practices for a high-performing engineering team • Lead architectural decisions to enhance scalability, reliability, and efficiency of the lending platform • Collaborate with Product, UX, and Business teams to align technology with strategic goals • Design, build, and maintain customer-facing lending applications using Node.js, TypeScript, React/Redux, Angular, Sequelize, PostgreSQL, and Docker • Develop and optimize high-quality, testable code, implementing unit and integration tests with Mocha, Chai, Sinon, and Sequelize • Ensure performance, security, and scalability through best-in-class software engineering practices • Identify and resolve defects through debugging, profiling, logging, log analysis, tracing, and FullStory session replays • Oversee code deployment to Staging and Production environments • Partner with Quality Engineers to address issues found in testing and improve automated testing coverage • Lead and participate in Agile ceremonies • Break down product requirements into engineering deliverables in Jira • Review and provide critical feedback on Product Requirements Documents, Epics, and User Stories, influencing the technical and business roadmap • Recommend alternative technical solutions to optimize delivery speed, enhance customer experience, and reduce costs • Maintain technical documentation • Contribute to Earnest’s DevOps culture and participate in rotating on-call support for production applications

• Lead requirements-gathering sessions • Architect scalable technical solutions • Contribute as a developer to build and deliver working systems • Collaborate across Cyclotron’s sales, delivery, and project management organizations

• Design, develop, and optimize scalable data solutions using GCP services, including BigQuery, Google Cloud Storage, and Cortex Framework. • Implement data pipelines with Terraform, Dataform, and Airflow Composer. • Collaborate with cross-functional teams to gather requirements and deliver impactful data products. • Utilize advanced data modeling techniques such as star schemas, snowflake schemas, tabular models, and dimensional models to support business intelligence initiatives. • Ensure data quality, integrity, and security across all data processes. • Develop dashboards and reports that effectively communicate insights to stakeholders. • Continuously improve data workflows and processes through automation and optimization. • Work within an agile environment to deliver high-quality solutions in a timely manner. • Foster an inclusive and collaborative team culture, leveraging diverse perspectives to enhance outcomes.

About Sayari: Sayari is a venture-backed and founder-led global corporate data provider and commercial intelligence platform that serves financial institutions, legal and advisory service providers, multinationals, journalists, and governments. Thousands of analysts and investigators in over 30 countries rely on our products to safely conduct cross-border trade, research front-page news stories, confidently enter new markets, and prevent financial crimes such as corruption and money laundering. Our company culture is defined by a dedication to our mission of using open data to prevent illicit commercial and financial activity, 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 DESCRIPTION Sayari is looking for an Entry-Level Associate Data Engineer to join our Data team located in Washington, DC. The Data team is an integral part of our Engineering division and works closely with our Software & Product teams, as well as other key stakeholders across the business. JOB RESPONSIBILITIES: Write and deploy crawling scripts to collect source data from the web Write and run data transformers in Scala Spark to standardize bulk data sets Write and run modules in Python to parse entity references and relationships from source data Diagnose and fix bugs reported by internal and external users Analyze and report on internal datasets to answer questions and inform feature work Work collaboratively on and across a team of engineers using basic agile principles Give and receive feedback through code reviews SKILLS & EXPERIENCE Required Skills & Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related technical field — or equivalent hands-on experience Working knowledge of SQL and relational databases (such as Postgres) Experience writing code in Python (e.g., pandas, NumPy, Scrapy) or Java/Scala Familiarity with data processing frameworks like Apache Spark, or strong interest in learning them on the job Understanding of object-oriented programming principles and collaborative development in shared repositories Ability to work closely with data scientists, analysts, and engineers to help solve complex problems across large, diverse datasets Desired Skills & Experience Exposure to workflow orchestration tools such as Apache Airflow and CI/CD pipelines Familiarity with graph, search, or NoSQL databases Experience contributing to data ingestion, transformation, or ETL pipelines Comfort working with containerized applications (e.g., Docker) Experience using cloud-based data tools in AWS or GCP environments Introductory experience or coursework involving machine learning, especially in distributed systems like Spark Awareness of entity resolution concepts or interest in learning how entities are linked across data sources Experience working with international or non-English datasets The target base salary for this position is $85,000-$100,000 plus company 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. Benefits: 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 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. Pay Range $85,000 — $100,000 USD