{"id":4080669,"url":"https://alion.io/job/sunrise-biztech-systems-data-engineer","title":"Data Engineer","company":{"id":3801118,"name":"Sunrise Biztech Systems","domain":"sunrisesys.com","url":"https://alion.io/company/sunrise-biztech-systems","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":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Databricks","optional":true},{"name":"Power BI","optional":true},{"name":"Pulumi","optional":true}],"status":"live","first_seen_at":"2026-11-10T18:19:01Z","employer_posted_date":null,"last_verified_at":"2026-11-10T18:19:01Z","board_verified":false,"closed_at":null,"days_open":1,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":1},"description":"Job Title: Data Engineer\nLocation: Chicago, IL - Hybrid, Tuesday to Thursday onsite\nDuration: 06 Months Contract\n\nJob Description\n\nOverview:\n\nWe are seeking a skilled Data Engineer with a strong background in designing and building robust ETL pipelines. The ideal candidate has hands-on experience with Apache Spark, Python, and SQL, and can deliver scalable data solutions that support business intelligence, analytics, and downstream applications.\n\nKey Responsibilities:Design, develop, and maintain scalable ETL pipelines to process and transform large data sets.\nBuild efficient and reliable data workflows using Python and Apache Spark.\nWrite complex SQL queries for data extraction, transformation, and analysis.\nCollaborate with cross-functional teams to understand data requirements and ensure data quality and consistency.\nOptimize pipeline performance and troubleshoot issues in large-scale data systems.\nImplement best practices in data engineering, version control, and code documentation.\n\nMust-Have Qualifications:5+ years of proven experience building and maintaining ETL pipelines in production environments.\nProficiency in Python and SQL for data transformation and scripting.\nStrong understanding and hands-on experience with Apache Spark.\nSolid data engineering foundation with attention to scalability, reliability, and performance.\nStrong communication skills and ability to work in collaborative, agile environments.\n\nNice-to-Have Skills:Experience with Azure cloud services, especially Azure Data Factory (ADF) and Databricks.\nFamiliarity with Power BI for data visualization.\nExposure to infrastructure as code tools like Pulumi.\n\nCompensation: \n\nThe hourly rate for this position is between $57.62-$60.00per hour.\n\nFactors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].\n\nBenefits: \n\nSunrise offers ACA compliant medical coverage/dental insurance/vision insurance to all employees. 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