{"id":2033833,"url":"https://alion.io/job/ahead-senior-technical-consultant-data-analytics","title":"Senior Technical Consultant - Data & Analytics","company":{"id":3614,"name":"AHEAD","domain":"ahead.com","url":"https://alion.io/company/ahead","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":72,"open_postings":50,"ghost_share":0,"stale_share":0.92,"repost_share":0,"time_to_fill_p50_days":64,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":160000,"max":215000,"currency":"USD","period":"year","gross":null,"usd_annual":215000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon Kinesis","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Hadoop","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Windows","optional":false}],"status":"live","first_seen_at":"2025-03-03T21:50:25Z","employer_posted_date":"2025-03-03","last_verified_at":"2026-10-12T22:54:06Z","board_verified":true,"closed_at":null,"days_open":588,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":587},"description":"AHEAD is looking for a Senior Data Engineer to work closely with our dynamic project teams (both on-site and remotely). This Senior Data Engineer will be responsible for strategic planning and hands-on engineering of Big Data and cloud environments that support our clients’ advanced analytics, data science, and other data platform initiatives. This consultant will design, build, and support modern data environments that reside in the public cloud or multi-cloud enterprise architectures. They will be expected to be hands-on technically, but also present to leadership, and lead projects.\nThe Senior Data Engineer will have responsibility for working on a variety of data projects. This includes orchestrating pipelines using modern Data Engineering tools/architectures as well as design and integration of existing transactional processing systems. As a Senior Data Engineer, you will design and implement data pipelines to enable analytics and machine learning on rich datasets.\nRoles and Responsibilities\nA Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems\nCreate robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset\nImplement custom applications using tools such as Kinesis, Lambda and other cloud native tools as required to address streaming use cases\nEngineers and supports data structures including but not limited to SQL and NoSQL databases\nEngineers and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop)\nEngineers API’s for returning data from these structures to the Enterprise Applications\nLeverages the right tools for the right job to deliver testable, maintainable, and modern data solutions\nRespond to customer/team inquiries and assist in troubleshooting and resolving challenges\nWorks with other scrum team members to estimate and deliver work inside of a sprint\nResearch data questions, identifies root causes, and interacts closely with business users and technical resources\nQualifications\n8+ years of professional technical experience\n4+ years of hands-on Data Architecture and Data Modelling.\n4+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake\n4+ years of programming languages such as Python\n2+ years of experience working in cloud environments (AWS and/or Azure)\nStrong client-facing communication and facilitation skills\nKey Skills\n Python, Cloud, Linux, Windows, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Snowflake, SQL/RDBMS, OLAP, Data 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