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CodeRoad

Data Engineer – Support Project L2

CodeRoad

. Identify, investigate, and troubleshoot missing, duplicate, inconsistent, or unexpected data in operational systems .

Posted 11/1/2026full-timeRemoteJuniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in SQL query writing for data investigation and troubleshooting, with a strong focus on data integrity and operational efficiency. Proficient in collaborating with cross-functional teams to resolve data-related issues and streamline processes using automation and AI tools.

Highest-signal resume keywords
SQL Query WritingData Pipeline UnderstandingData Reporting Tools FamiliarityAnalytical Troubleshooting SkillsAutomation and Scripting Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLData InvestigationData Integrity StandardsETL/ELT ProcessesData MovementPythonPowerShellData CorrectionTroubleshootingIncident Tracking
Soft Skills
Attention to DetailProactive Issue ResolutionEffective CommunicationCollaborationAnalytical Thinking
Tools & Technologies
Microsoft SQL ServerAzure Data FactoryAirflowSQL Server AgentTableauBI Platforms
Industry Keywords
IT OperationsData OperationsApplication SupportDatabase SupportOperational Systems

Tech Stack

Tools & technologies
AirflowAzureETLMS SQL ServerPythonSQLTableau

About the role

Key responsibilities & impact
  • Identify, investigate, and troubleshoot missing, duplicate, inconsistent, or unexpected data in operational systems
  • Use SQL queries to trace data issues, identify root causes, and help implement resolutions
  • Monitor data processing workflows, scheduled jobs, and pipeline executions
  • Investigate pipeline failures, identify bottlenecks, and coordinate troubleshooting to maintain reliable data flows
  • Troubleshoot data discrepancies, failed refreshes, and issues affecting reporting tools and dashboards
  • Perform approved data corrections and operational changes while following procedures, documentation, and data integrity standards
  • Streamline recurring investigations and reduce manual effort through scripting, automation, and AI-assisted tools
  • Experiment with AI solutions to accelerate troubleshooting and improve operational workflows
  • Work within a three-person infrastructure team to resolve data-related operational issues
  • Track incidents and resolutions through ticketing systems
  • Collaborate with developers, IT Operations, and business stakeholders

Requirements

What you’ll need
  • 1–3 years of professional experience in IT Operations, Data Operations, application support, database support, or a similar technical troubleshooting role
  • Hands-on experience writing SQL queries to investigate data issues, validate records, identify discrepancies, and troubleshoot problems
  • Familiarity with relational databases, particularly Microsoft SQL Server, is preferred
  • Basic understanding of data pipelines, ETL/ELT processes, scheduled jobs, and data movement between operational systems and reporting environments
  • Exposure to Azure Data Factory, Airflow, or SQL Server Agent is a plus
  • Familiarity with data reporting tools, dashboards, or data refresh processes
  • Experience with Tableau or similar BI platforms is an advantage
  • Basic experience with Python, PowerShell, or other scripting tools is a plus
  • Proactive approach to leveraging AI-assisted coding and automation tools
  • Strong analytical and troubleshooting skills
  • Attention to detail and proactive issue resolution
  • Comfortable following documented procedures, managing tickets, and escalating issues when necessary
  • Good English communication skills, written and verbal
  • Ability to document findings, communicate technical issues clearly, and collaborate effectively within a small, cross-functional team

Benefits

Comp & perks
  • USA Contractor / 100% Remote
  • Competitive Pay (USD)
  • Holidays Off & Paid Time Off
  • Health insurance assistance program
  • Opportunity to work with high-growth US-based companies and cutting-edge tech stacks
  • Agentic AI tools and training
  • Coursera Enterprise
  • Studio practice labs
  • High-touch onboarding
  • Transparent leadership communication
  • Community recognition
  • Psychological safety
  • Continuous multi-project pipeline
  • Direct engagement with U.S. client teams and roadmaps