{"id":4022115,"url":"https://alion.io/job/aaratech-data-engineer","title":"Data Engineer","company":{"id":4424511,"name":"Aaratech","domain":"aaratechinc.com","url":"https://alion.io/company/aaratech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":80000,"max":90000,"currency":"USD","period":"year","gross":null,"usd_annual":90000},"salary_estimate":null,"experience_years_min":null,"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":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Collibra","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-10T15:18:40Z","employer_posted_date":null,"last_verified_at":"2026-11-10T15:18:40Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Aaratech Inc. is seeking a Senior Data Engineer to build and improve cloud-based data solutions. The role designs and maintains scalable data pipelines, shapes data models and engineering standards, and supports analytics and BI teams with reliable, well-structured data.\n\nResponsibilities\nDesign and build ETL/ELT pipelines for enterprise data integration on cloud platforms\nHelp design and optimize data warehouse and lakehouse structures (Snowflake, Databricks, Synapse)\nWrite efficient SQL and Python/PySpark transformations\nContribute to CI/CD, testing, and monitoring practices for data pipelines\nHelp maintain data quality and documentation across the platform\nPartner with analysts, data scientists, and application teams to deliver trusted data\nSupport and guide junior engineers through code reviews and knowledge sharing\n\nSkills\nAt this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship\nBachelor's degree in Computer Science, IT, or a related field — or equivalent hands-on experience\n4+ years of data engineering or related experience (ETL, data warehousing, cloud data work)\nStrong SQL and solid Python skills\nHands-on experience with at least one cloud data platform — Databricks, Snowflake, Azure Synapse/Data Factory, or AWS Glue/Redshift\nExperience designing data models or pipelines for multi-source environments\nComfortable explaining technical work to non-technical stakeholders\nStreaming experience (Kafka, Event Hubs, Kinesis)\nTerraform or other infrastructure-as-code exposure\nFamiliarity with data governance or catalog tools (Unity Catalog, Purview, Collibra)\nAny work preparing data for AI/ML use cases\nCertifications such as Databricks Data Engineer, SnowPro, DP-203, or AWS Data Engineer — a plus, not a requirement\n\nCompany Overview\nAaraTech Inc. is a leading IT solutions and services provider dedicated to empowering businesses through innovative technology solutions. It was founded in undefined, and is headquartered in East Brunswick, New Jersey, USA, with a workforce of 51-200 employees. 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