ONLY W2 (GC,USC, EAD) Senior ETL Data Engineer

Interested candidates should email their resume to karan.bhatia@systemone.com, along with work authorization information, current location, availability, and compensation details. Work authorization status current location availability compensation details. Can you work onsite from Day 1 ? Please reference the specific job title and job location in your email. Senior Data Engineer Columbia, MD Contract Visa : USC, EAD, GC on W2 The Senior Data Engineer is responsible for orchestrating, deploying, maintaining, and scaling cloud and/or on-premise infrastructure supporting big data and enterprise data platforms (Relational and NoSQL, distributed and converged systems). This role focuses on: • Reliability • Automation • Performance optimization • Delivering data-driven insights and business value Key Responsibilities (Essential Functions) 20% – Infrastructure Development • Develop and maintain data infrastructure systems (data warehouses, data lakes). • Build and maintain data access APIs. • Prepare and manipulate data using multiple technologies. 15% – Data Analysis & Reporting • Interpret and analyze data using statistical techniques. • Deliver ongoing reports and actionable insights. • Support data-driven decision-making for key projects. • Design and execute quality control procedures across multiple systems. 15% – Data Modeling • Develop logical and physical data models. • Evaluate and enhance data warehouse architecture. • Apply metadata standards and modeling conventions. • Plan data classes, indexing, replication, backup, retention, and recovery strategies. 15% – Data Collection Frameworks • Create frameworks for structured and unstructured data collection. 15% – Continuous Learning & Innovation • Stay current with emerging technologies and best practices. • Participate in professional workshops and industry networking. 10% – ETL / ELT Development • Apply data extraction, transformation, and loading techniques. • Integrate large datasets from multiple sources. 10% – Best Practices Implementation • Implement best practices in: • Data auditing • Scalability • Reliability • Application performance Required Qualifications Education • Bachelor’s Degree in: • Computer Science • Information Technology • Engineering • Related field In lieu of degree: Additional 4 years of relevant experience (on top of required experience). Experience • 5+ years of experience in: • Database design • Data modeling tools • ETL/ELT development • Application development • Relational database development • Data architecture Preferred Knowledge, Skills & Abilities (KSAs) Expert Level • SQL / NoSQL / Python (at least one programming language) • Database design & implementation • Data exchange formats • Data movement concepts • Strong analytical & problem-solving skills Advanced Level • Organizational and communication skills • Ability to manage multiple priorities Compliance & Work Expectations • Must disclose any debarment or exclusion impacting Federal healthcare program eligibility. • Ability to work in a fast-paced, dynamic environment. • Capable of handling shifting priorities and deadlines. • Strong customer service skills (internal & external stakeholders). • Ability to manage demanding or complex situations professionally. #M1 #DI-CB2 Ref: #851-Rockville-S1