Element Solutions

Element Solutions

·yesterday

Data engineer

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Location

remote, United States

Salary

$95k – $106k/yr

Commitment

Full Time

Level

Middle (2-4 years)

Required skills

Data engineeringSnowflakeApache AirflowSQLPythonETL/ELTData pipelinesData modelingGitCloud platformsData qualityWorkflow orchestrationAutomationData integrationCI/CD

Job Description

Who is Element?

We serve as a partner at the intersection of innovation and our clients' needs, efficiently crafting meaningful user experiences for government and commercial customers. By breaking complex problems down into their fundamental elements, we create modern digital solutions that drive efficiency, maximize taxpayer dollars, and deliver essential outcomes that serve the people.

Why Work at Element?

Make an impact that resonates-join our vibrant team and discover how you can improve lives through digital transformation. Our talented professionals bring unparalleled energy and engagement, setting a higher standard for impactful work. Be a part of our team and shape a better future.

Position Summary

Element Solutions is looking for an analytical and critical thinking Data Engineer. The Data Engineer is responsible for designing, developing, implementing, and maintaining scalable data pipelines and data solutions that support customer and organizational needs. This role leverages Snowflake and Apache Airflow to build and manage data integration workflows, optimize data processing, and ensure data quality, reliability, and accessibility.

The Data Engineer works collaboratively with senior engineers, software developers, data analysts, and other project stakeholders to translate technical and business requirements into effective data solutions. This position requires hands-on experience with cloud-based data platforms, workflow orchestration, SQL development, automation, and data pipeline monitoring. The ideal candidate can independently manage routine engineering tasks, troubleshoot technical issues, and contribute to the continuous improvement of data infrastructure and engineering practices.

Key Responsibilities

  • Data Pipeline Development and Management
  • Snowflake Development and Optimization
  • Workflow Orchestration and Automation
  • Data Quality, Testing, and Security
  • Collaboration and Continuous Improvement

Minimum Requirements

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or Associates 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.
  • Be either a US citizen or Permanent Resident due to the work we do.

Preferred Qualifications

  • Experience supporting data engineering solutions in a government contracting, healthcare (CMS (Center of Medicare & Medicaid) or in the health industry, or other regulated environment.
  • Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform.
  • Familiarity with cloud-based storage services and data ingestion tools.
  • Experience implementing CI/CD pipelines and automated testing for data workflows.
  • Knowledge of data governance, data lineage, metadata management, and role-based access controls.
  • Experience working with REST APIs, JSON, and other structured or semi-structured data formats.
  • Familiarity with containerization technologies such as Docker.

Qualified individuals living in HUBZone-certified areas are strongly encouraged to apply. To find out if you live in a HUBZone go to: HUBZone Map.

Salary

$95,000 - $106,000 a year. The likely salary range for this position is $95,000-$106,000. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Our People

We invest in the lives of our employees, both in and out of the workplace, by providing competitive pay and benefits packages. Benefits offered may include health care, dental, vision, life insurance; 401(k); paid time off including PTO, holidays, and any other paid leave required by law.

Location

Be in your Element. We are a remote first company based out of Washington, DC. As a HUBZone-certified business we are committed to supporting local economic development.

Element is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, marital status, protected veteran status, or any other legally protected class.

We believe in a world where solutions we build improve the lives of those who use them.

Ready to join the team?

Apply now

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