Senior Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

InDepth Engineering Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

💼 Consulting

🏭 Manufacturing

🎖️ Defense

Consulting • Manufacturing • Defense

InDepth Engineering Solutions is a consulting firm providing full service mechanical design and engineering solutions aimed at improving the safety and reliability of transportation. The company serves a diverse range of industries including automotive, aerospace, and renewable energy, offering competencies such as mechanical system design, CAD modeling, testing, and staffing solutions. With a dedicated team of engineers, InDepth Engineering Solutions focuses on delivering innovative projects across the globe.

📋 Description

• Refactor and move existing ETL/ELT and analytics pipelines into a new environment • Migrate underlying data and validate that migrated data lands correctly • Work with a Staff Data Engineer to understand the migration plan, sequence work, and provide progress updates • Refactor PySpark, DABs, and dbt ETL/ELT code to meet new-account patterns and standards • Migrate data pipelines and datasets, including backfills, and validate source-target parity • Build and run reconciliation checks for row counts, schema conformance, freshness, and completeness • Migrate dashboards and downstream reporting assets, coordinating with analysts • Update orchestration, scheduling, alerting, and runbooks for post-cutover supportability • Troubleshoot pipeline failures and data discrepancies during and after cutover • Document migrations, changes, and ownership information • Handle adjacent migration and data engineering requests as the program evolves

🎯 Requirements

• 6+ years of experience in Data Engineering, Analytics Engineering, or Software Engineering working with production data systems • Strong expertise in SQL and Python for scalable data pipelines and transformations • Strong familiarity with AI tools such as Claude Code and Devin for software development processes • Hands-on experience building ELT pipelines using modern cloud data platforms • Databricks experience required • Experience building robust data-migration testing frameworks for completeness and quality • Deep experience with dbt, including model development, testing, documentation, and CI/CD integration • Experience designing and operating production-grade data pipelines with monitoring and observability • Strong collaboration skills and ability to partner with engineering teams, analysts, and operational stakeholders • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience • Prior data or platform migration experience