Senior Data Engineer (Max $75/hr W2) at Lenmar Consulting Inc.

Reston, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Sep, 26

Salary

75.0

Posted On

10 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI-enabled tools, AWS, Databricks, Tableau, QuickSight, Data Modeling, Data Structures, Typescript, Python, GitHub Copilot, SQL, Data Quality Engineering, Data Validation, Snowflake, Redshift, Athena

Industry

Information Technology & Services

Description

Company Description Education Job Description USC and GC only on W2 – No H1B, OPT, CPT EAD at this time Data Quality Engineering & Monitoring (45%) Investigation, Analysis, & Remediation (35%) Governance, Documentation, & Team Success (20%) Skills: AI-enabled tools, AWS / Databricks, Tableau / QuickSight, Data Modeling, Data Structures, Typescript / Python, Copilot As a Senior Data Engineer, you'll help ensure that the data powering our products, reporting, and operational workflows is accurate, complete, timely, and trustworthy. You'll design and implement data quality checks, monitoring, and remediation processes across pipelines and platforms, working closely with engineers, analysts, product teams, and business stakeholders. Your work will help identify issues early, reduce operational risk, and improve confidence in the data used to support critical decisions and digital assessment experiences. This role blends hands-on technical investigation, automation, and cross-functional collaboration. About You 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 type script 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. Experience working with BI/reporting tools such as Tableau, QuickSight, or similar platforms is helpful. 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. Additional Information All your information will be kept confidential according to EEO guidelines.

Responsibilities

Design and implement data quality checks, monitoring, and remediation processes to ensure data accuracy and trustworthiness. Collaborate with cross-functional teams to identify data issues early and reduce operational risk across pipelines and platforms.