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Company Background Our client is a U.S.-based fintech company providing financing solutions to small and medium-sized businesses. Founded in 2006, the company operates as both a direct lender and a financing marketplace, having deployed more than $10 billion in growth capital to support over 65,000 businesses across the United States. Its technology- and data-driven solutions help business owners access funding quickly and efficiently. Project Description The project focuses on transforming and scaling a modern data platform. The team is building a Snowflake-based data platform and converting existing Alteryx workflows into governed, production-ready data products. The initial phase is focused on Treasury and Finance, with additional business domains planned for future phases. Technologies Snowflake dbt Fivetran Dagster/Airflow MetricFlow SQL and Data Modeling Cursor and LLM-based Development Tools Data Quality and Monitoring Tools What You'll Do Provide technical leadership to a small team of Data Engineers; Support the implementation of the target data architecture; Design and build scalable data pipelines and data products on Snowflake; Develop and maintain dbt models and transformation workflows; Use Dagster or Airflow to orchestrate data workflows; Review technical designs and contribute to engineering decisions; Collaborate with BI teams to understand and migrate existing Alteryx business logic; Partner with Data Governance teams on data quality, business definitions, and critical data elements; Validate outputs, investigate data issues, and troubleshoot complex logic gaps; Mentor engineers and help establish strong engineering practices; Leverage AI-assisted development tools, such as Cursor and LLMs, to improve engineering productivity; Job Requirements 5+ years of experience as a Data Engineer; Strong hands-on experience with Snowflake; Advanced hands-on experience with dbt; Experience with Dagster, Airflow, or similar orchestration platforms; Strong background in modern data architecture and data engineering; Experience with data quality, monitoring, and observability; Ability to lead technical discussions and mentor engineers; Experience collaborating across Engineering, BI, and Data Governance teams; Comfortable using AI-assisted software development tools; English proficiency at B2 level or higher; Snowflake certification is preferred; Availability to maximize overlap with U.S. Central Time working hours, especially from 2:00 p.m. CT onward, is a strong plus; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.