Senior Data Engineer, Ready
$190-240k
+ Equity
Growth platform for internet providers
Open for applications
Growth platform for internet providers
21-100 employees
Open for applications
$190-240k
+ Equity
21-100 employees
Company mission
To help broadband professionals monetize, and connect more people to better services.
Role
Who you are
- 5+ years of data engineering experience, with a track record of owning and operationally supporting production systems end-to-end
- Proven ability to evaluate technical trade-offs and make pragmatic architecture decisions that balance cost and performance
- Strong proficiency in SQL (PostgreSQL, Athena/Presto) and Python; you write production-quality code
- Deep hands-on experience with AWS data services (S3, Athena, RDS, ECS, Lambda, IAM, CloudWatch)
- Experience with Apache Airflow or similar orchestration tools in production environments
- Experience with large-scale time-series, event-based, or streaming data systems
- Experience with version control with Github/Subversion/GitLab/Mercurial
- Familiarity with vector databases and LLM integration patterns (LangChain, AWS Bedrock, or similar)
- Experience building data quality frameworks or automated validation systems
- Demonstrated ability to mentor engineers and contribute to team culture
- Excellent communication skills — you can make complex infrastructure decisions legible to non-engineers
- Comfortable working with ambiguity and make decisions following first-principle
- Comfortable working across multiple timezone
- Experience managing data for SaaS platforms is a plus
- Experience with large-scale spatiotemporal data pipelines (PostGIS, spatial indexing, tiling) is a plus
What the job involves
- Ready is expanding its data engineering team to support rapid growth across our broadband infrastructure monitoring platform and the BEAD (Broadband Equity, Access, and Deployment) program
- We're looking for a Senior Data Engineer who thrives in complex pipeline environments, is comfortable across AWS and GCP, and can bring structure and reliability to large-scale government data programs
- You'll work closely with the Head of Data and a cross-functional team to build, optimize, and maintain the data infrastructure that powers multi-state broadband programs
- This is a hands-on engineering role — expect to spend most of your time building Airflow DAGs, designing data models and making data move reliably at scale
- Partner with product and engineering teams to understand requirements and translate them into the right technical architecture — balancing cost, performance, and long-term maintainability
- Evaluate and recommend data tools, frameworks, and infrastructure choices with a pragmatic, product-first mindset
- Contribute to roadmap discussions and help the team make informed build-vs-buy decisions
- Design, implement, and maintain scalable data infrastructure on AWS (S3, Athena, RDS/PostgreSQL, ECS, Lambda, Secrets Manager, CloudWatch)
- Own data lake and warehouse architecture — partitioning strategies, storage optimization, and data lifecycle management
- Build and maintain production-grade Apache Airflow DAGs for ingestion, transformation, and export workflows
- Ensure observability across the data platform — monitoring, alerting, and fast incident resolution
- Build and maintain robust DBT pipelines with data quality checks and well-structured data modeling
- Design and maintain robust database schemas to support multi-state, multi-tenant program data
- Write and optimize SQL queries across PostgreSQL, Redshift and Athena for analytical and operational workloads
- Develop reusable data models, utilities, and shared Python packages that raise the bar for the whole team
- Design data models and infrastructure for large-scale time-series and event-based data management at scale
- Implement efficient ingestion, storage, and retrieval patterns for high-frequency temporal datasets
- Work with vector databases to support AI-powered features and semantic search capabilities
- Integrate LLM workflows into ELT pipelines using AWS Bedrock, LangChain, and related frameworks
- Build AI-assisted data comparison, validation, and enrichment pipelines that run reliably in production
- Experience with MLflow, deploying production level ML pipelines
- Stay current on the evolving AI/ML tooling landscape and bring relevant innovations to the team
- Design and build automated data QA systems to validate quality, completeness, and consistency across datasets
- Implement cleansing and reconciliation routines for complex multi-source ingestion flows
- Proactively monitor pipelines and resolve issues before they reach downstream consumers or clients
- Mentor junior and mid-level data engineers — through code reviews, pair programming, and architectural guidance
- Help establish team standards for code quality, testing, and documentation
- Foster a culture of ownership, curiosity, and continuous improvement on the data team
Our take
As internet providers strive to expand their services to harder-to-reach communities, companies such as Ready are finding new ways to serve their customer base. Founded in 2020, Ready.net helps these companies collect, audit, and share data, connect to more customers and generally scale their projects.
With federal and state governments in the US offering billions to fund internet connectivity expansion, Ready are already winning big contracts. This is because of the necessity for internet providers to give funding programs extensive data on service areas, socio-economic surveys and existing connectivity in the areas they’re planning to expand into - which Ready is able to provide.
Founded at a time when internet connectivity was at its highest demand, and with good early funding, Ready has certainly got off to a promising start. In 2022, it partnered with Nokia to help local broadband providers connect unserved and underserved communities. With the expansion of broadband services still a major goal in the US, the company should have plenty of opportunity for further success.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 3 rounds)
Oct 2022
$10.5m
SERIES A
May 2021
$4m
SEED
Total funding: $14.7m
Company benefits
- Meaningful equity upside
- Competitive (and ever expanding) benefits for employees and dependents
- Opportunities to learn and grow – all things startups
- A chance to play a role in defining the roadmap as we pursue a bold vision and and a big goal
- Work from anywhere you want, as long as you can get great internet (and your work here at Ready helps make this true in more places)
- To get away - we convene 2-3x / year for [optional, encouraged] retreats
- We’re actively shaping our benefits program: have a say in which benefits matter to you
Company HQ
SoMa, San Francisco, CA
Leadership
Jase Wilson
(CEO & Founder)Previously Founder and CEO at Neighborly and CEO at Luminopolis.
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