{"id":121518,"url":"https://alion.io/job/pattern-senior-data-engineer","title":"Senior Data Engineer","company":{"id":9124,"name":"Pattern","domain":"pattern.com","url":"https://alion.io/company/pattern","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":88,"open_postings":69,"ghost_share":0,"stale_share":0.275,"repost_share":0,"time_to_fill_p50_days":90,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lehi, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":110000,"max_usd":210000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1181},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"Apache Kafka","optional":false},{"name":"BigQuery","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Trino","optional":false},{"name":"Amazon EKS","optional":true},{"name":"Amazon Kinesis","optional":true},{"name":"AWS","optional":true},{"name":"AWS Lambda","optional":true},{"name":"Delta Lake","optional":true},{"name":"Kubernetes","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-05-06T20:28:55Z","employer_posted_date":"2026-05-06","last_verified_at":"2026-10-17T01:35:54Z","board_verified":true,"closed_at":null,"days_open":163,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":162},"description":"As a Senior Data Engineer, you will be a high-impact \"Game Changer\" responsible for architecting and building the very foundation of Pattern's data-driven future. You will tackle massive, petabyte-scale challenges, transforming raw data into high-octane fuel for our AI models and global marketplace strategies. This is your chance to lead high-stakes technical initiatives that directly accelerate growth for hundreds of global brands in a fast-paced, elite engineering environment.\nWhat is a day in the life of a Senior Data Engineer?\nDesigning and implementing robust ETL/ELT pipelines using Airflow, DBT, and cloud-native architectures.\n\nWriting sophisticated, production-grade Python code to automate data orchestration and processing.\n\nBuilding/optimizing complex SQL queries and dimensional models for OLAP and OLTP based systems\n\nCollaborating with cross-functional teams to ingest and harmonize data from dozens of global marketplaces.\n\nBuilding and maintaining infrastructure-as-code and containerized workflows to ensure platform reliability.\n\nLeveraging AI thoughtfully to optimize processes and workflows\n\nWhat will I need to thrive in this role?\nBachelor’s degree in Computer Science, Data Science, or a related technical field (or equivalent experience).\n\n7+ years of professional data engineering experience with a heavy focus on ETL/ELT and data modeling.\n\n5+ years of expert-level SQL mastery, including window functions, CTEs, and deep performance tuning.\n\n4+ years of professional Python development specifically tailored for data pipelines and tooling.\n\n3+ years of hands-on experience building/optimizing large-scale data warehouses like Snowflake, BigQuery, or Redshift.\n\nProficiency with open-source frameworks such as Apache Spark, Trino, Kafka, and Debezium.\n\nA \"Data Fanatic\" mindset with experience handling petabyte-scale diverse datasets.\n\nWhat does high performance look like?\nSuccessfully executing the migration or optimization of massive data streams with zero downtime.\n\nConsistently delivering clean, well-documented, and high-quality code that sets the standard for the engineering team.\n\nActing as a 'Doer' by taking the initiative to resolve platform bottlenecks before they impact partners.\n\nElevating the technical bar of the team through mentorship and the introduction of innovative engineering practices.\n\nWhat is my potential for career growth?\nOpportunity to lead major architectural shifts within a rapidly expanding global tech company.\n\nRegular networking and collaboration with high-level technical leadership and AI experts.\n\nUpward mobility toward Staff Data Engineer or specialized technical leadership roles.\n\nContinuous learning opportunities with cutting-edge technologies like Apache Iceberg and real-time streaming architectures.\n\nWhat does success look like in the first 30, 60, 90 days?\n30 Days: Complete onboarding, gain a deep understanding of current data architectures, and begin contributing to existing projects.\n\n60 Days: Identify and implement at least one major performance optimization within the data environment and lead a small-scale pipeline project.\n\n90 Days: Take responsibility for a significant segment of data processes, collaborating with other engineers and contributing to the long-term roadmap for lakehouse integration.\n\nWhat is the team like?\nThis role reports directly to the Director of Data Engineering.\n\nYou will be joining a growing team of data professionals that span multiple geographies.\n\nIn this role, you will collaborate closely with Data Scientists, Software Engineers, AI Engineers, and Product Managers as well as other departments including Marketing and Sales.\n\nSounds great! What’s the company culture? We are looking for individuals who are:\nGame Changers- A game changer is someone who looks at problems with an open mind and shares new ideas with team members, regularly reassesses existing plans and attaches a realistic timeline to goals, makes profitable, productive, and innovative contributions, and actively pursues improvements to Pattern’s processes and outcomes.\n\nData Fanatics- A data fanatic is someone who recognizes problems and seeks to understand them through data, draws unbiased conclusions based on data that lead to actionable solutions, and continues to track the effects of the solutions using data.\n\nPartner Obsessed- An individual who is partner obsessed clearly explains the status of projects to partners and relies on constructive feedback, actively listens to partner’s expectations, and delivers results that exceed them, prioritizes the needs of your partners, and takes the time to create a personable experience for those interacting with Pattern.\n\nTeam of Doers - Someone who is a part of a team of doers uplifts team members and recognizes their specific contributions, takes initiative to help in any circumstance, actively contributes to supporting improvements, and holds themselves accountable to the team as well as to partners.\n\nWhat is the hiring process?\nPhone Interview with Talent Acquisition\n\nVideo Interview\n\nOnsite Interview\n\nExecutive Review\n\nOffer\n\nHow can I stand out as an applicant?\nStrong Nice-to-Haves: Expertise in AWS services (Terraform, EKS, Lambda), experience with Apache Iceberg or Delta Lake, and a background in real-time streaming (Kafka/Kinesis).\n\nInterview Tips: Be prepared to discuss your experience managing large-scale data outages or complex optimizations; highlight any 'Partner Obsessed' moments where your data work solved a critical business problem; and demonstrate your 'Data Fanatic' nature through a deep dive into a past side project or complex pipeline you built.","description_format":"text","description_chars":5649,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Marketplaces","E-commerce Marketing"],"lifecycle":[{"event":"open","at":"2026-05-06T20:28:55Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 31","filings_12m":31,"filings_prev_12m":10,"green_card_filings_12m":0,"median_offered_wage_usd":102500,"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":2}],"liveness":{"score":21,"band":"cold","label":"Long shot","p_open":1,"p_active":0.591,"p_room":0.36,"age_days":162,"expected_fill_days":90,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pattern-senior-data-engineer","json_url":"https://alion.io/job/pattern-senior-data-engineer.json","meta":{"generated_at":"2026-10-17T01:49:33Z","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":2523,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-18T00:00:00Z"}},"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":9124},"rest":"https://alion.io/mcp/rest/get_company?id=9124"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpattern-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%2Fpattern-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%2Fpattern-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/pattern-senior-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpattern-senior-data-engineer"}]}