{"id":3988311,"url":"https://alion.io/job/exl-lead-data-engineer-4","title":"Lead Data Engineer","company":{"id":38016,"name":"EXL","domain":"exlservice.com","url":"https://alion.io/company/exl","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":239,"ghost_share":0,"stale_share":0.983,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Snowflake","optional":false},{"name":"Agile","optional":true},{"name":"Amazon Aurora","optional":true},{"name":"Amazon S3","optional":true},{"name":"CI/CD","optional":true},{"name":"Data Vault","optional":true},{"name":"Git","optional":true},{"name":"Jenkins","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-09T18:23:06Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T04:30:07Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Lead Data Engineer with hands-on experience in designing and delivering scalable data solutions. The role requires expertise in cloud data platforms, AWS, Snowflake, data pipelines, ETL/ELT, data modernization, along with strong stakeholder management\nBase Compensation Range: 110,000 - 140,000\nThe posted range is the hiring range for this role - a subset of the broader range available to employees over time - and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.\nFor more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits\n 7+ years of relevant experience in Data Engineering and project delivery.\nStrong expertise in Big Data concepts and cloud implementation projects.\nProficient in Snowflake, SQL, and AWS services (Glue, EMR, S3, Aurora, RDS, AWS architecture).\nExcellent hands-on experience with Python, PySpark, and AWS cloud microservices.\nCapability to perform coding, debugging, performance tuning, and deploying applications to production environments.\nStrong problem-solving abilities, analytical skills, and aptitude for ownership.\nSkilled in Agile Methodology with experience in iterative project deliveries.\nQuick learner with the ability to lead team members in adopting new 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