Data Engineer

Data Engineer Location: Remote Experience Level: Mid-Level (3–5 years) Start Date: ASAP Technical Skills – Must-Haves (Stack-Ranked): 1. Oracle SQL / PLSQL 1. Python / Unix Shell Scripting 1. ETL Development (batch & streaming) Additional Technical Skills Desired: • Experience with healthcare claims or fraud analytics • Control-M, MFT, Kafka, SOA APIs • Experience with production cloud infrastructure (Azure or AWS) • MongoDB, SQL Server, SQLite • Kubernetes, Docker (Containerization) • Development tools: Jira, Confluence, Git, JupyterHub, Databricks • Operating Systems: Linux, Mac, HP-UX, Windows • Generative AI tools (a plus) Soft Skills: • Ability to work independently and proactively • Intermediate problem-solving and analytical thinking • Strong communication and collaboration skills • Eagerness to upskill in data engineering, AI, and cloud platforms Education & Certification: • Required: Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field • Preferred: Certifications in Data Engineering, SQL, Python, ETL tools, or cloud platforms (Azure, AWS) Experience Required: • 3–5 years of professional experience in data engineering or a closely related field Position Summary As a Data Engineer, you will collaborate with data modelers, business analysts, architects, and DevSecOps teams to create and operationalize data pipelines, optimize batch and streaming workflows, and build scalable backend systems supporting high-impact healthcare initiatives. Key Responsibilities • Design, develop, and implement scalable and stable ETL/ELT processes using technologies like Python, Oracle SQL/PLSQL, and Unix shell scripting. • Build, test, and monitor data pipelines for data ingestion, transformation, validation, and orchestration. • Optimize performance of API connections and SQL queries for batch and streaming workflows. • Collaborate with business and technical teams to define data integration strategies and ensure alignment with requirements. • Work on both pre-pay systems (Oracle, SQL, Unix, Control-M) and post-pay systems (data transfers with vendors and internal reporting). • Maintain and improve backend systems, including: • Vended system policy edits/exclusions • Self-service capabilities • Claim status integration with Splunk • Batch process stabilization • End-to-end data flow enhancements • Participate in Agile ceremonies, weekly performance reviews, and cross-functional collaboration meetings. • Manage project documentation for design changes, integration points, and team coordination. Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status