{"id":2941552,"url":"https://alion.io/job/fanduel-data-engineer-5","title":"Data Engineer","company":{"id":174501,"name":"FanDuel","domain":"fanduel.com","url":"https://alion.io/company/fanduel","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":81,"open_postings":11,"ghost_share":0,"stale_share":0.545,"repost_share":0,"time_to_fill_p50_days":65,"computed_at":"2026-10-21T05:46:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":116000,"max":152250,"currency":"USD","period":"year","gross":null,"usd_annual":152250},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Databricks","optional":false},{"name":"Datadog","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Grafana","optional":false},{"name":"Incident Management","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"Buildkite","optional":true},{"name":"CI/CD","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Looker","optional":true},{"name":"PagerDuty","optional":true},{"name":"SQL","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-10-20T15:22:16Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-22T03:08:05Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"THE POSITION\nOur roster has an opening with your name on it\nFanDuel is looking for a Data Support Engineer to advance our data capabilities and ensure the reliability and performance of our critical data pipelines and infrastructure. FanDuel's competitive edge is enabled by our ability to leverage accurate and timely data for informed decision-making.\nAs a Data Support Engineer, you will be a valued member of the Data Support team, maintaining exceptional standards and servicing the needs of data consumers across the company. You will ensure the health of our data infrastructure, contribute to the delivery of reliable, timely, and consumable data, and combine technical troubleshooting with proactive monitoring. You'll have the opportunity to work in an agile environment where you will team up with colleagues having experience in data engineering, machine learning and more.\nIn addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.\nTHE GAME PLAN\n Everyone on our team has a part to play\nProvide on-call technical assistance to analysts, data consumers, and data engineering teams, responding to inquiries relating to query optimization, reporting anomalies, complex data pipeline issues, failed jobs, and data inconsistencies.\nInvestigate and resolve data quality issues in response to system alerts or notifications from stakeholders, ensuring compliance with internal/external audits and control practices.\nDesign and implement batch and real-time data pipelines to the data warehouse or data lake using data transformation technologies, enhancing monitoring dashboards and support tools.\nLead impactful initiatives to enhance data pipelines and other data operations capabilities while mentoring and onboarding new support data engineers. Identify operational inefficiencies and implement automation solutions to reduce manual intervention.\nCreate and maintain technical support documentation, including FAQs, troubleshooting steps, support runbooks, and a knowledge base of solutions to recurring issues.\nDrive operational best practices and shape workflows for routine consumer support, operations monitoring, incident management, and problem management.\nAdminister account access to tools across the technology stack in accordance with our governance policies.\nAble to join team's On-call Pager duty rotation to ensure 24/7 coverage and timely response to critical data issues.\nTHE STATS\nWhat we’re looking for in our next teammate\nMinimum of 3+ years of experience in data engineering with focus on operational support\nAdvanced SQL skills with proven query optimization experience\nStrong problem-solving skills with ability to take ownership and accountability for issues through resolution\nPython programming proficiency for automation and data processing\nExperience with cloud data platforms (AWS, Databricks, Spark)\nUnderstanding of data warehousing and ETL/ELT processing\nExperience with dimensional data modeling, batch data ingestion, and real-time technologies like Kafka or Kinesis\nWorking knowledge of orchestration and monitoring tools (Airflow, Datadog, Databand, DataFold, Monte Carlo, Prometheus, Grafana)\nStrong incident management and root cause analysis capabilities\nCustomer-oriented mindset with focus on delivering high-quality support services and attention to detail\nExceptional communication and interpersonal skills\nProven ability to work effectively within teams and across organizational boundaries\nExperience owning and coordinating issues across multiple time zones\nExperience identifying operational inefficiencies and implementing automation solutions using AI techniques\nPreferred Qualifications:\nExperience with data streaming patterns and tools like Dbt\nFamiliarity with CI/CD practices for data pipelines (BuildKite or Github Actions)\nFamiliarity with data visualization tools such as Tableau or Looker\nExposure to database design, performance analysis, and data quality metrics\nExposure to Data Science, Machine Learning, and AI applications\nABOUT FANDUEL\nFanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including America’s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry’s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product. \nIn addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.\nThe company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company’s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.\nFanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).\nPLAYER BENEFITS\nWe treat our team right\nWe offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO & sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits, pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.\nFanDuel is an equal opportunities employer and we believe, as one of our principles states, “We are One Team!”. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.\nFanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please email .\nThe applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.\nIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.","description_format":"text","description_chars":7670,"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","Dental insurance","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Sports Betting","iGaming & Gambling"],"lifecycle":[{"event":"open","at":"2026-10-20T17:26:19Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":287500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+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":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":0,"expected_fill_days":65,"reasons":["conf:1","stale_co","velocity","win:early"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":152250,"is_top_pay":true},"html_url":"https://alion.io/job/fanduel-data-engineer-5","json_url":"https://alion.io/job/fanduel-data-engineer-5.json","meta":{"generated_at":"2026-10-22T03:10:48Z","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":2865,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-23T00:00:00Z"}},"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":174501},"rest":"https://alion.io/mcp/rest/get_company?id=174501"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffanduel-data-engineer-5"},{"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%2Ffanduel-data-engineer-5"},{"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%2Ffanduel-data-engineer-5"},{"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/fanduel-data-engineer-5\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffanduel-data-engineer-5"}]}