Data Engineer

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🔥 3 minutes ago

🏛️ District of Columbia, Washington – Remote

🏛️ District of Columbia – Remote ☕ Washington – Remote

💵 $95k - $106k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Element

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

🏛️ Government

Consulting • Healthcare • Government

Element is a human-centered agency that partners with both government and commercial sectors to craft impactful user experiences. With a commitment to efficiency and excellence, Element focuses on digital interactions that spark positive change. The company offers services in DevOps, supporting continuous integration and operations, FHIR for compliance and interoperability, and data science to transform data into actionable insights. Element aims to empower communities through technology and drive innovation.

📋 Description

• 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

• 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

• 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

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