Sr Data Engineer (USC & GC only - Max $75/hr W2)

Lenmar Consulting Inc. • Reston, VA

3d • $0 - $75 • Remote

About The Position

We are seeking a Sr. Data Engineer with a strong background in quality testing, AI-enabled tools, and cloud data platforms. The role involves data investigation, validation, and ensuring the quality of production datasets and pipelines. The ideal candidate will have extensive experience with SQL, Python/Typescript, and cloud technologies like AWS and Databricks. This position requires a proactive approach to problem-solving, a learner's mindset, and the ability to collaborate effectively across teams.

Requirements

• USC and GC only on W2 – No H1B, OPT, CPT EAD at this time
• Remote - available for EST business hours
• BS degree in Engineering, Computer Science, or related field / equivalent experience
• 10+ years of general experience in quality testing
• Strong SQL skills and experience writing complex queries to analyze, validate, and troubleshoot data across multiple systems.
• Professional experience in data engineering, analytics engineering, data quality, software Engineering, or a related field with a strong focus on data investigation and validation.
• Exposure to AI-assisted development tools (e.g., GitHub Copilot, Claude) and hands-on experience applying to build and deploy AI agents that automate data pipelines, write code and testing workflows.
• Experience working with cloud data platforms and tools such as AWS, Redshift, Athena, Snowflake, Databricks, or similar technologies.
• Proficiency in Python or Typescript language used for automation, testing, and data analysis.
• Experience designing or maintaining data quality checks, monitoring, alerting, or observability processes for production datasets or pipelines.
• Strong understanding of data structures, data modeling, transformations, lineage, and common sources of data defects.
• Ability to investigate issues across systems, apply business logic, and translate ambiguous problems into structured analysis and action.
• Strong communication, documentation, and collaboration skills, with the ability to work effectively across technical and non-technical teams.
• A learner's mindset, curiosity about emerging technologies and AI-enabled tools, and a drive to improve systems and processes continuously.
• Ability to support high-priority operational periods and respond effectively to production data issues when needed.
• Strong interpersonal and consultative skills.
• Highly self-motivated and directed, with keen attention to detail.
• Strong leadership skills and customer satisfaction orientation.

Nice To Haves

• Experience working with BI/reporting tools such as Tableau, QuickSight, or similar platforms is helpful.

Responsibilities

• Perform quality testing on data pipelines and systems.
• Investigate, validate, and troubleshoot data across multiple systems using complex SQL queries.
• Apply AI-assisted development tools to automate data pipelines, write code, and create testing workflows.
• Design and maintain data quality checks, monitoring, alerting, and observability processes for production datasets.
• Analyze and translate ambiguous problems into structured analysis and action.
• Support high-priority operational periods and respond effectively to production data issues.
• Collaborate with technical and non-technical teams, providing strong communication and documentation.
• Continuously improve systems and processes with a focus on emerging technologies and AI-enabled tools.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior