Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and enhance data integration processes, ETL workflows, and data platforms.

• Lead the development of technical designs and functional specifications for scalable and dependable data solutions.

• Collaborate with stakeholders and third-party vendors to identify and align business requirements.

• Spearhead automated solutions that enhance business processes, improve productivity, and boost operational efficiency.

• Maintain ETL jobs and resolve critical production issues.

• Participate in the off-hours support rotation and serve as a subject matter expert.

• Design, implement, and oversee data platforms.

• Create and maintain documentation for data processes, reports, applications, and procedures.

• Design, develop, and deploy scalable reporting and dashboard solutions for business intelligence and operational efficiency.

• Ensure that appropriate security measures are in place for reporting and dashboard solutions.

⛳️ Requirements

• Advanced proficiency in Microsoft SQL Server for enterprise data solutions.

• Strong grasp of ETL, data integration, and transformation processes.

• Practical experience with implementing ETL solutions using Microsoft SSIS.

• Familiarity with version control concepts and experience using Microsoft DevOps.

• Expert knowledge in leading and managing SDLC processes.

• Advanced skills in T-SQL programming, scripting, and optimization.

• Ability to comprehend, retain, and execute oral and/or written instructions.

• Strong analytical and problem-solving capabilities.

• High school diploma or equivalent work experience; a bachelor’s degree in computer science is preferred.

• Four (4) or more years of experience in information technology with a focus on relational databases, ETL, data warehousing, business intelligence, report development, and dashboard design.

• Four (4) or more years of experience using SSIS.

• Four (4) or more years of experience with MS SQL.

• Strong working knowledge of application integration using APIs is preferred.

• Experience with Microsoft BI applications (SSRS, SSAS, Power BI) is preferred.

• Knowledge of cloud-based database management and integration services such as Azure Data Factory, Fabric, Snowflake, or Databricks is a plus.

• Proficiency in commonly used data engineering programming languages such as Python or Java.

🏝️ Benefits

• Comprehensive healthcare plans for you and your family.

• Discretionary 401(k) match of 50% on the first 4% of pay contributed.

• Discounts on fitness, restaurants, retail, and various other employee benefits.

• Tailored training programs.

• Bonuses for employee referrals.

• Educational reimbursement opportunities.

• Participation in community initiatives through the Carrington Charitable Foundation.