{"id":786048,"url":"https://alion.io/job/sumersports-data-engineer","title":"Data Engineer","company":{"id":688645,"name":"SumerSports","domain":"sumersports.com","url":"https://alion.io/company/sumersports","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US","CA"],"hiring_countries_total":2,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":110000,"period":"year","method":"role_seniority_country_cell","sample_n":31},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dagster","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Great Expectations","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-10T23:26:41Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-29T11:53:26Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"SumerSports is a leading football intelligence technology company that specializes in providing an innovative suite of products for football fans and NFL clubs. We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia.\nOur data-driven platform empowers teams with insights and tools to make informed decisions within salary cap constraints. The platform also serves the NCAA, offering insights around the transfer portal and more.\nWhat sets us apart is our unique blend of big tech talent, data scientists, and former NFL personnel, who have a combined 600+ years of NFL experience. Our domain knowledge is augmented by AI and machine learning technologies to create a unique view into many aspects of Football.\nPosition Summary\nOur data engineering team is the foundation of this system, ensuring data is accurate, fast, and always available for our models and AI applications.\nAs a Data Engineer, you’ll design, build, and maintain the data pipelines that power our deep learning, video and LLM systems. You’ll work across ingestion, transformation, and orchestration layers - from real-time feeds to analytics-ready datasets. Your mission is to make data reliable, discoverable, and scalable for use by model training, analytics, and AI-driven products across multiple sports. You’ll collaborate closely with our MLOps, and Sports Data teams to ensure seamless integration between data and AI.\nResponsibilities\nBuild and operate robust data pipelines for ingestion, cleaning, and transformation using Databricks, Airflow, or Kubernetes.\nDevelop efficient ETL/ELT workflows in Python and SQL to support both batch and streaming workloads.\nPartner with ML/AI teams to make datasets and tools discoverable and safe for autonomous agents, including evaluation and guardrails for AI-generated queries.\nDevelop retrieval pipelines (RAG, vector search) over structured stats and unstructured sources (scouting notes, video metadata) to power AI applications.\nModel and maintain structured data assets (Delta, Parquet, Iceberg) for reliability, versioning, and lineage tracking.\nImplement orchestration and monitoring: schedule jobs, track dependencies, and automate recovery from failures.\nEnsure data quality and compliance through validation frameworks, schema enforcement, and audit logging.\nContribute to data platform evolution: evaluate tools, standardize best practices, and improve developer experience.\nSupport performance and cost optimization across compute, storage, and orchestration systems.\nQualifications\n3-8 years of experience as a Data Engineer or ETL Developer in a production environment.\nProficiency in Python and SQL; strong familiarity with Databricks, Spark, or equivalent big-data frameworks.\nExperience with workflow orchestration tools such as Airflow, Dagster, Luigi or Prefect.\nDeep understanding of data modeling, data warehousing, and distributed data processing.\nKnowledge of modern data lakehouse architectures.\nFamiliarity with CI/CD, GitHub Actions, Infrastructure as Code, and data pipeline testing frameworks.\nComfort working in a cross-functional environment with ML, product, and analytics teams.\nExposure to LLM-powered data tools: text-to-SQL, RAG, agent/tool interfaces (e.g. MCP), or natural-language analytics.\nPrevious work with cloud infrastructure (AWS, GCP, or Azure) and container orchestration (Docker, Kubernetes).\nPreferred\nPrevious experience with sports, telemetry, or sensor data pipelines.\nFamiliarity with streaming frameworks and event driven data processing (Kafka, Spark Structured Streaming, Flink).\nGeneral knowledge of American football, the NFL, and college football.\nBackground in data governance, lineage, and observability tools (Monte Carlo, Great Expectations, Unity Catalog, OpenLineage).\nExperience designing semantic layers or metric definitions consumed by AI and BI tools.\nExposure to best practices in machine-learning model management and MLOps.\nBenefits\nCompetitive Salary and Bonus Plan\nComprehensive health insurance plan\nRetirement savings plan (401k) with company match\nRemote working environment\nA flexible, unlimited time off policy\nGenerous paid holiday schedule - 13 in total including Monday after the Super Bowl\nSumerSports is committed to fair and equitable compensation practices.\nActual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.\nThe total compensation package for this position may also include annual performance bonus, benefits and/or other applicable incentive compensation plans.","description_format":"text","description_chars":4782,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["401k plan","Health insurance","Retirement plans"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-12T01:56:34Z"}],"visa":[],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.294,"p_room":0.35,"age_days":48,"expected_fill_days":7,"reasons":["conf:2","win:tail"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/sumersports-data-engineer","json_url":"https://alion.io/job/sumersports-data-engineer.json","meta":{"generated_at":"2026-10-29T15:02:04Z","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":"assistant_verified","counted_by":"address","units_charged":1,"used_today":2117,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"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":688645},"rest":"https://alion.io/mcp/rest/get_company?id=688645"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsumersports-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%2Fsumersports-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%2Fsumersports-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/sumersports-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsumersports-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":786048}},{"tool":"search_jobs","arguments":{"company":"sumersports.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":786048},"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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