{"id":3707707,"url":"https://alion.io/job/strategic-staffing-solutions-senior-data-engineer","title":"Senior Data Engineer","company":{"id":2027987,"name":"Strategic Staffing Solutions","domain":"strategicstaff.com","url":"https://alion.io/company/strategicstaff","size_band":"5000+","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"B","score":81,"open_postings":9,"ghost_share":0,"stale_share":0.778,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["McLean, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-03T21:43:08Z","employer_posted_date":"2026-11-03","last_verified_at":"2026-11-09T05:42:10Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Title: Senior Data Engineer\nLocation: McLean, VA\nDuration: 7 Months\nPay Rate: $75 - $85/HR (W2 Only)\nJob/Role Description:\nWe are seeking an experienced Senior Data Engineer to design, develop, and maintain scalable data pipelines and data processing solutions within a large enterprise environment.\nDevelop, implement, and optimize data engineering solutions using Python, Scala, SQL, and AWS technologies.\nDesign, build, and maintain ETL/ELT pipelines to support data integration, transformation, and processing.\nUtilize AWS services, including EMR and Glue, to develop and manage cloud-based data processing solutions.\nDevelop and integrate REST APIs to support data exchange between applications and systems.\nBuild and maintain real-time data streaming solutions using Apache Kafka.\nWrite, optimize, and troubleshoot complex SQL queries for data extraction, transformation, and analysis.\nCollaborate with cross-functional teams to deliver reliable data solutions.\nEnsure data quality, integrity, performance, and scalability across data platforms.\nTroubleshoot and resolve data pipeline issues while identifying opportunities for performance improvements.\nSupport enterprise data engineering initiatives and contribute to the development of efficient, scalable data architectures.\nRequired Qualifications:\n5-10 years of professional experience in data engineering or a closely related field.\nStrong programming experience with Python and Scala.\nHands-on experience with Amazon Web Services (AWS).\nExperience with AWS EMR and AWS Glue for data processing and ETL development.\nStrong SQL skills, including complex queries, data transformations, and performance optimization.\nExperience developing and integrating REST APIs.\nHands-on experience with Apache Kafka for real-time data streaming and processing.\nExperience designing, developing, and maintaining scalable data pipelines.\nStrong understanding of data integration, ETL/ELT processes, and distributed data processing.\nExperience working with large datasets in enterprise environments.\nExperience with Artificial Intelligence (AI) or AI-related technologies is preferred.\nStrong analytical, troubleshooting, and problem-solving abilities.\nExcellent interpersonal, written, and verbal communication skills.\nAbility to collaborate effectively with cross-functional technical teams.\nStrong organizational skills and attention to detail.\nAbility to manage multiple priorities and deliver solutions in a fast-paced environment.\nWillingness to work onsite in McLean, VA preferred; 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