Senior Data Engineer

InDepth Engineering Solutions

Senior Data Engineer migrating Databricks ETL/ELT pipelines and datasets for InDepth Engineering Solutions. Refactoring PySpark, dbt, dashboards, orchestration, and data-quality validation for automotive systems.

Posted 8/18/2026contractRemote • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Data Engineering and Analytics Engineering, with a strong focus on building and migrating scalable ETL/ELT pipelines using SQL and Python. Proficient in utilizing Databricks and dbt for data transformation and migration processes, ensuring data quality and completeness.

Highest-signal resume keywords

Data EngineeringSQLPythonDatabricksDbt

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETLELTData MigrationData Pipeline DevelopmentData Quality TestingData TransformationModel DevelopmentCI/CD IntegrationMonitoringObservability

Soft Skills

CollaborationCommunication

Tools & Technologies

AI ToolsClaude CodeDevinCloud Data Platforms

Industry Keywords

Production Data SystemsData EngineeringAnalytics EngineeringSoftware Engineering

Tech Stack

Tools & technologies

CloudETLPySparkPythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account InDepth Engineering Solutions Website LinkedIn All 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. Senior Data Engineer Job not on LinkedIn 🔥 1 minute ago 🇺🇸 United States – Remote ⏳ Contract/Temporary 🟠 Senior 🚰 Data Engineer 🦅 H1B Visa Sponsor Cloud ETL PySpark Python SQL Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 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
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