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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.About your role at Ready ⚡️Partner with product and engineering teams to understand requirements and translate them into the right technical architecture — balancing cost, performance, and long-term maintainabilityEvaluate and recommend data tools, frameworks, and infrastructure choices with a pragmatic, product-first mindsetContribute to roadmap discussions and help the team make informed build-vs-buy decisionsDesign, 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 managementBuild and maintain production-grade Apache Airflow DAGs for ingestion, transformation, and export workflowsEnsure observability across the data platform — monitoring, alerting, and fast incident resolutionBuild and maintain robust DBT pipelines with data quality checks and well-structured data modelingDesign and maintain robust database schemas to support multi-state, multi-tenant program dataWrite and optimize SQL queries across PostgreSQL, Redshift and Athena for analytical and operational workloadsDevelop reusable data models, utilities, and shared Python packages that raise the bar for the whole teamDesign data models and infrastructure for large-scale time-series and event-based data management at scaleImplement efficient ingestion, storage, and retrieval patterns for high-frequency temporal datasetsWork with vector databases to support AI-powered features and semantic search capabilitiesIntegrate LLM workflows into ELT pipelines using AWS Bedrock, LangChain, and related frameworksBuild AI-assisted data comparison, validation, and enrichment pipelines that run reliably in productionExperience with MLflow, deploying production level ML pipelinesStay current on the evolving AI/ML tooling landscape and bring relevant innovations to the teamDesign and build automated data QA systems to validate quality, completeness, and consistency across datasetsImplement cleansing and reconciliation routines for complex multi-source ingestion flowsProactively monitor pipelines and resolve issues before they reach downstream consumers or clientsMentor junior and mid-level data engineers — through code reviews, pair programming, and architectural guidanceHelp establish team standards for code quality, testing, and documentationFoster a culture of ownership, curiosity, and continuous improvement on the data teamA bit about you 🥇5+ years of data engineering experience, with a track record of owning and operationally supporting production systems end-to-endProven ability to evaluate technical trade-offs and make pragmatic architecture decisions that balance cost and performanceStrong proficiency in SQL (PostgreSQL, Athena/Presto) and Python; you write production-quality codeDeep hands-on experience with AWS data services (S3, Athena, RDS, ECS, Lambda, IAM, CloudWatch)Experience with Apache Airflow or similar orchestration tools in production environmentsExperience with large-scale time-series, event-based, or streaming data systemsExperience with version control with Github/Subversion/GitLab/MercurialFamiliarity with vector databases and LLM integration patterns (LangChain, AWS Bedrock, or similar)Experience building data quality frameworks or automated validation systemsDemonstrated ability to mentor engineers and contribute to team cultureExcellent communication skills — you can make complex infrastructure decisions legible to non-engineersComfortable working with ambiguity and make decisions following first-principleComfortable working across multiple timezoneExperience managing data for SaaS platforms is a plusExperience with large-scale spatiotemporal data pipelines (PostGIS, spatial indexing, tiling) is a plusAbout Ready 🚀Creative problem solvers approaching a legacy industry with a new point of viewHumble but ambitious, knowledgeable but curious, persistent but not obnoxiousConcise and effective in written and spoken communicationComfortable working remotelyOne team, one dreamAbout what you get…Competitive salary plus meaningful equity upside; salary range is $190,000-$240,000Competitive (and ever expanding) benefits for employees and dependentsOpportunities to learn and grow – all things startupsA chance to play a role in defining the roadmap as we pursue a bold vision and and a big goalWork 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 all convene 2-3x / year for [optional, encouraged] retreatsWe’re actively shaping our benefits program: have a say in which benefits matter to youThe charter to realize a market that is set to receive $65 billion in grant funding across the United StatesEqual Employment OpportunityAt Ready, we believe that the best ideas come from people with different backgrounds, experiences, and perspectives. We are committed to creating an inclusive workplace where everyone has the opportunity to do their best work.Ready is proud to be an Equal Opportunity Employer. We make all employment decisions based on qualifications, merit, and business needs, and do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, pregnancy, national origin, ancestry, age, disability, genetic information, veteran or military status, marital status, or any other status protected by applicable law.If you need a reasonable accommodation during the hiring process, please let us know — we're happy to work with you to ensure an accessible and equitable experience.
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