{"id":803586,"url":"https://alion.io/job/ready-senior-data-engineer","title":"Senior Data Engineer","company":{"id":173864,"name":"Ready","domain":"ready.net","url":"https://alion.io/company/ready-3","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":4,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":11,"computed_at":"2026-11-01T06:10:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":190000,"max":240000,"currency":"USD","period":"year","gross":null,"usd_annual":240000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"IAM","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"MLFlow","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Presto","optional":false},{"name":"Python","optional":false},{"name":"Semantic Search","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":false},{"name":"PostGIS","optional":true}],"status":"live","first_seen_at":"2026-09-09T17:02:14Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-11-01T07:21:56Z","board_verified":true,"closed_at":null,"days_open":52,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":52},"description":"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.\nYou'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.\nAbout your role at Ready\nPartner with product and engineering teams to understand requirements and translate them into the right technical architecture - balancing cost, performance, and long-term maintainability\n\nEvaluate and recommend data tools, frameworks, and infrastructure choices with a pragmatic, product-first mindset\n\nContribute to roadmap discussions and help the team make informed build-vs-buy decisions\n\nDesign, implement, and maintain scalable data infrastructure on AWS (S3, Athena, RDS/PostgreSQL, ECS, Lambda, Secrets Manager, CloudWatch)\n\nOwn data lake and warehouse architecture - partitioning strategies, storage optimization, and data lifecycle management\n\nBuild and maintain production-grade Apache Airflow DAGs for ingestion, transformation, and export workflows\n\nEnsure observability across the data platform - monitoring, alerting, and fast incident resolution\n\nBuild and maintain robust DBT pipelines with data quality checks and well-structured data modeling\n\nDesign and maintain robust database schemas to support multi-state, multi-tenant program data\n\nWrite and optimize SQL queries across PostgreSQL, Redshift and Athena for analytical and operational workloads\n\nDevelop reusable data models, utilities, and shared Python packages that raise the bar for the whole team\n\nDesign data models and infrastructure for large-scale time-series and event-based data management at scale\n\nImplement efficient ingestion, storage, and retrieval patterns for high-frequency temporal datasets\n\nWork with vector databases to support AI-powered features and semantic search capabilities\n\nIntegrate LLM workflows into ELT pipelines using AWS Bedrock, LangChain, and related frameworks\n\nBuild AI-assisted data comparison, validation, and enrichment pipelines that run reliably in production\n\nExperience with MLflow, deploying production level ML pipelines\n\nStay current on the evolving AI/ML tooling landscape and bring relevant innovations to the team\n\nDesign and build automated data QA systems to validate quality, completeness, and consistency across datasets\n\nImplement cleansing and reconciliation routines for complex multi-source ingestion flows\n\nProactively monitor pipelines and resolve issues before they reach downstream consumers or clients\n\nMentor junior and mid-level data engineers - through code reviews, pair programming, and architectural guidance\n\nHelp establish team standards for code quality, testing, and documentation\n\nFoster a culture of ownership, curiosity, and continuous improvement on the data team\n\nA bit about you\n5+ years of data engineering experience, with a track record of owning and operationally supporting production systems end-to-end\n\nProven ability to evaluate technical trade-offs and make pragmatic architecture decisions that balance cost and performance\n\nStrong proficiency in SQL (PostgreSQL, Athena/Presto) and Python; you write production-quality code\n\nDeep hands-on experience with AWS data services (S3, Athena, RDS, ECS, Lambda, IAM, CloudWatch)\n\nExperience with Apache Airflow or similar orchestration tools in production environments\n\nExperience with large-scale time-series, event-based, or streaming data systems\n\nExperience with version control with Github/Subversion/GitLab/Mercurial\n\nFamiliarity with vector databases and LLM integration patterns (LangChain, AWS Bedrock, or similar)\n\nExperience building data quality frameworks or automated validation systems\n\nDemonstrated ability to mentor engineers and contribute to team culture\n\nExcellent communication skills - you can make complex infrastructure decisions legible to non-engineers\n\nComfortable working with ambiguity and make decisions following first-principle\n\nComfortable working across multiple timezone\n\nExperience managing data for SaaS platforms is a plus\n\nExperience with large-scale spatiotemporal data pipelines (PostGIS, spatial indexing, tiling) is a plus\n\nAbout Ready\nCreative problem solvers approaching a legacy industry with a new point of view\n\nHumble but ambitious, knowledgeable but curious, persistent but not obnoxious\n\nConcise and effective in written and spoken communication\n\nComfortable working remotely\n\nOne team, one dream\n\nAbout what you get…\nCompetitive salary plus meaningful equity upside; salary range is $190,000-$240,000\n\nCompetitive (and ever expanding) benefits for employees and dependents\n\nOpportunities to learn and grow - all things startups\n\nA chance to play a role in defining the roadmap as we pursue a bold vision and and a big goal\n\nWork 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).\n\nTo get away - we all convene 2-3x / year for [optional, encouraged] retreats\n\nWe’re actively shaping our benefits program: have a say in which benefits matter to you\n\nThe charter to realize a market that is set to receive $65 billion in grant funding across the United States\n\nEqual Employment Opportunity\nAt 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.\nReady 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.\nIf 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.","description_format":"text","description_chars":6497,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Telecom Infrastructure","Field Service Management Software"],"lifecycle":[{"event":"open","at":"2026-09-12T08:54:12Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":2,"green_card_filings_12m":0,"median_offered_wage_usd":210000,"route":null,"cap_exempt":false,"checked_at":"2026-10-29T16:27:21+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":1}],"liveness":{"score":12,"band":"cold","label":"Long shot","p_open":1,"p_active":0.334,"p_room":0.35,"age_days":52,"expected_fill_days":11,"reasons":["conf:2","win:tail"],"computed_at":"2026-11-01T06:10:25Z"},"pay":{"stated_usd_annual":240000,"is_top_pay":true},"html_url":"https://alion.io/job/ready-senior-data-engineer","json_url":"https://alion.io/job/ready-senior-data-engineer.json","meta":{"generated_at":"2026-11-01T09:22:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":14550,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-02T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":173864},"rest":"https://alion.io/mcp/rest/get_company?id=173864"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fready-senior-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fready-senior-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fready-senior-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ready-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fready-senior-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":803586}},{"tool":"search_jobs","arguments":{"company":"ready.net","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":803586},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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