{"id":2636437,"url":"https://alion.io/job/seamless-senior-data-engineer","title":"Senior Data Engineer","company":{"id":21333,"name":"Seamless","domain":"seamless.ai","url":"https://alion.io/company/seamless","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":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Columbus, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":117000,"max_usd":212000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":340},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-18T16:12:07Z","employer_posted_date":"2026-08-18","last_verified_at":"2026-10-16T09:07:12Z","board_verified":true,"closed_at":null,"days_open":58,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":58},"description":"Seamless delivers the world’s best sales leads. Through our product, we help sales teams maximize revenue, increase sales, and easily acquire their total addressable market using artificial intelligence; by development of a robust real-time contact and company search engine as well as a suite of technically-advanced tools to support sales and lead generation. We have been recognized as one of Ohio’s fastest growing companies and have been recently ranked No. 7 in LinkedIn's Top 50 Startups of 2022, featured in Forbes as #1 Software company in Ohio in 2022, and on G2’s “Top 100 Highest Satisfaction Products for 2022” list!\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Visa Sponsorship is not included in our hiring package. Applicants must be authorized to work in the U.S.\nThe Opportunity\nThe Senior Data Engineer will play a critical role in our expanding Data Product Team. They will work hands-on with our entire company and contact profile universe with the main objective of improving the coverage, accuracy, and infrastructure scalability of our product data. This person will be tasked with solving significant data problems that are positively impacting millions of business professionals in the ever evolving lead intelligence space. The Senior Data Engineer will have the opportunity to work with cutting edge technology in big-data, ETL orchestration, data analytics, machine learning, and AI.\nAWS-Based ETL Pipeline - Deep Data Engineering - Infrastructure Performance - Data Analytics\nThis is a hybrid data engineering and analytics role, not a pure pipeline-building position. Much of the work involves investigating data-quality issues, analyzing why current scoring rules produce bad outcomes, and deciding how they should change - that requires real analytical and statistical reasoning on top of the engineering work, not just building infrastructure to move data from A to B. You'll be expected to own architecture decisions independently and work with limited day-to-day guidance.\nOur pipeline processes billions of records, so this is not a role for someone who has only worked with SQL/Spark at small-to-moderate scale. Query and job design choices here have real cost and runtime consequences, and inefficient code fails or times out in ways it wouldn't on a smaller dataset.\nResponsibilities\nWhat You'll Work On\nLarge-scale data processing and ETL\nData integration and normalization across diverse data sources\nData quality and validation\nQuerying and processing performance\nCloud-based data infrastructure\nData analysis and scoring systems\nAutomated testing and production reliability\nMachine learning and statistical approaches to data quality\nEmerging AI, LLM, and agentic technologies\nThe specific problems will evolve as our product and data platform grow. We are looking for someone who can learn the system, understand the underlying data, and determine the best technical approach rather than simply following a predefined implementation pattern.\nEducation & Experience\nMinimum 4 year bachelors degree required from a reputable school with a concentration in computer science, engineering, mathematics, statistics or a related field of study\n5+ years of professional data engineering experience, with demonstrated ownership of projects end-to-end (design through production)\nComfortable making and defending architecture decisions with minimal oversight\nComfortable owning a project end-to-end: from analysis/planning through implementation and testing\nAble to work with dependencies on other teams' data deliverables and adjust scope accordingly\nClear communicator who can document architecture decisions and tradeoffs\nData Engineering\nStrong Python and SQL skills\nSignificant hands-on experience with Apache Spark or a comparable distributed data processing technology\nExperience designing data processing solutions for large datasets where performance, scalability, and cost are important considerations\nExperience working with AWS cloud-based data platforms\nExperience building and maintaining production ETL or data processing pipelines\nExperience with automated testing and validation of data processing code\nAnalytical & Data Reasoning\nStrong ability to investigate unfamiliar data and identify the source of data quality or processing problems\nExperience using data analysis to evaluate business or product outcomes and guide engineering decisions\nAbility to reason about the accuracy and reliability of data rather than assuming that existing data or business rules are correct\nExperience evaluating changes using historical or production data before deploying them\nAbility to translate ambiguous data problems into measurable requirements and testable solutions\nStrong attention to detail when validating changes to production data\nSystems & Architecture\nExperience working with multi-stage data pipelines and understanding dependencies across systems\nExperience with workflow orchestration or comparable distributed processing systems\nAbility to troubleshoot production systems across multiple services and identify where failures or unexpected results originate\nExperience working with data from multiple sources and developing consistent, reliable datasets\nAbility to understand and document complex data flows and system behavior","description_format":"text","description_chars":5477,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Sales & Marketing","Business Development","Sales Enablement"],"lifecycle":[{"event":"open","at":"2026-10-15T17:30:35Z"}],"visa":[],"liveness":{"score":9,"band":"cold","label":"Long shot","p_open":1,"p_active":0.253,"p_room":0.35,"age_days":58,"expected_fill_days":7,"reasons":["conf:1","win:tail"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/seamless-senior-data-engineer","json_url":"https://alion.io/job/seamless-senior-data-engineer.json","meta":{"generated_at":"2026-10-16T11:55:10Z","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 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