Senior Data Engineer

We Are Looking For You've designed and operated production data platforms. You've made architectural decisions around ingestion, storage, modeling, orchestration, and reliability, and you understand the trade-offs between them. You have strong data modeling fundamentals. You have well-developed views on how data should be structured, can explain the trade-offs behind them, and know when different approaches make sense. You put business value first. You build for impact, not for the sake of building, and you know how to make pragmatic trade-offs between speed and quality. You're comfortable working with ambiguity. You can take an underspecified problem, work out what matters, and drive it to a production solution. You use AI tools effectively as part of your engineering workflow. You give agents good context, critically review their output, recognize when they're wrong, and stay accountable for the code and technical decisions that result. You're strong in Python and SQL, and experienced with modern cloud data platforms such as BigQuery, Snowflake, or Databricks. You've worked with data orchestration tools such as Dagster, Airflow, or Prefect. We use Dagster. You're comfortable owning cloud infrastructure. You can work with infrastructure-as-code such as Terraform and own the infrastructure your data systems depend on. You communicate clearly across technical and non-technical teams. You can understand stakeholder problems in Finance, Network Integration, Product, and beyond, challenge assumptions when needed, and explain technical decisions and trade-offs. You don't need to know the telecom industry. Bonus Points If: You have experience with GCP data services such as BigQuery, Pub/Sub, or Dataflow. You know stream processing. We don't do much of it yet, but it's coming soon. You've worked with dbt or similar transformation and modeling frameworks. You're comfortable reading or contributing to application code in Go or Ruby when needed for an integration. Our backend is mostly written in those languages. You've worked with financial, billing, metering, or usage data where errors have real downstream consequences. Work At Gigs At Gigs, we value in-person collaboration. We believe the best ideas, decisions, and relationships are built when teams spend meaningful time together, and our culture is designed around that belief. We support flexibility where it makes sense. Some focused work can be done remotely, and not every role or week looks the same. You should expect regular time in one of our hubs , as well as occasional travel for team workshops, customer meetings, and Gigs Republic, our bi-annual company off-site . Our offices are designed to feel like home-inspired workspaces, with plants, thoughtful tools, and small, tight-knit teams that make collaboration feel natural, energizing, and effective. What We Offer At Gigs, we believe in rewarding excellence. We offer competitive compensation and stock options because we see you as a true partner in our growth. We also provide stipends for your home office or work setup, a budget for learning and development to fuel your career, and of course, a free phone and international data plan Want to learn more about our benefits, hubs, and what it’s like to work at Gigs? Check out our Careers page.