Data Engineer

Element

. Design, build, and maintain reliable, scalable ETL/ELT pipelines .

Posted 11/2/2026full-timeRemote • United StatesMid-LevelSenior💰 $95,000 - $106,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and maintaining ETL/ELT pipelines, with a strong focus on Snowflake and Apache Airflow for data integration and transformation. Proficient in SQL and Python for automation, alongside a solid understanding of data governance and quality practices.

Highest-signal resume keywords

Snowflake Data EngineeringApache Airflow DevelopmentSQL Query OptimizationPython Scripting for AutomationData Integration and Transformation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

ETL/ELT Pipeline DevelopmentSQL TransformationsData ModelingData Quality PracticesData GovernanceData Integration PatternsSnowflake Schemas and TablesAutomated TestingVersion Control with GitData Validation Checks

Soft Skills

Analytical SkillsTroubleshooting SkillsProblem-Solving SkillsCollaborationTechnical Guidance

Tools & Technologies

Apache AirflowSnowflakePythonGitCI/CD Practices

Certifications & Qualifications

Public Trust DesignationSecurity Clearance

Industry Keywords

Data EngineeringData IntegrationData Processing WorkflowsData LineageOperational Logging

Tech Stack

Tools & technologies

AirflowApacheETLPythonSnowflakeSQL

About the role

Key responsibilities & impact

Design, build, and maintain reliable, scalable ETL/ELT pipelines
Develop Apache Airflow DAGs to orchestrate pipeline tasks, schedules, dependencies, and data-processing workflows
Integrate data from databases, APIs, and files while applying transformations and preserving data consistency
Develop SQL transformations and Snowflake data structures
Build reusable pipeline components and automate recurring processes
Support pipeline configuration and deployments across development, test, and production environments
Develop and maintain Snowflake schemas, tables, and views
Implement Snowflake data loading and transformation processes
Optimize SQL queries and Snowflake workloads for performance, warehouse utilization, and cost
Apply Snowflake data modeling and performance optimization techniques, including clustering when beneficial
Implement and maintain Snowflake roles and permissions
Configure Airflow schedules, dependencies, retries, timeouts, and failure handling
Monitor workflow runs, investigate failures, and implement corrective actions
Configure alerts and operational logging
Develop Python scripts and automation for pipeline operations
Maintain workflow and operational documentation
Develop automated data validation checks and tests
Investigate and resolve data-quality issues
Follow data governance, privacy, security, and access-management requirements
Document data lineage and transformation logic
Follow error-handling and data-recovery procedures
Work with technical teams and stakeholders to clarify data requirements and deliver engineering solutions
Participate in code reviews, technical design discussions, and development planning
Contribute to version control, automated testing, and CI/CD practices
Propose improvements to reliability, scalability, maintainability, and cost efficiency
Share knowledge and provide technical guidance
Perform other related duties as assigned

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or an associate degree plus two years' experience
At least 3 years of professional experience in data engineering, data integration, ETL/ELT development, or a related technical field
At least 3 years of hands-on experience with Snowflake and Apache Airflow in data engineering or data pipeline development
Strong proficiency in SQL, including query development, data transformation, and performance optimization
Experience developing, scheduling, monitoring, and troubleshooting data pipelines using Apache Airflow
Experience designing and maintaining data structures, transformations, and workflows in Snowflake
Proficiency in Python or a comparable scripting language for automation and data processing
Understanding of relational databases, data modeling, data integration patterns, and data quality practices
Experience with version control tools such as Git and collaborative software development practices
Strong analytical, troubleshooting, and problem-solving skills
Ability to work independently on assigned engineering tasks while collaborating effectively with technical teams and stakeholders
Must live in the Continental US
Must be either a US citizen or Permanent Resident
May need to possess or obtain a Public Trust designation or security clearance, depending on agency requirements
Successful completion of a background check, background investigation, and standard onboarding process required
Qualified individuals living in HUBZone-certified areas are strongly encouraged to apply

Benefits

Comp & perks

Competitive pay and benefits packages
Health care insurance
Dental insurance
Vision insurance
Life insurance
401(k)
Paid time off, including PTO, holidays, and other paid leave required by law
Remote-first work arrangement
Equal opportunity employment