Sr. Data Engineer
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Job Location:
Washington, AR - USA
Monthly Salary:
$ 165000 - 200000
Posted on:
16 hours ago
Vacancies:
1 Vacancy
Job Summary
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 down complex problems to their fundamental elements we create modern digital solutions that drive efficiencies 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 engagement setting a higher standard for impactful work. Come be a part of our team and shape a better future.
Position Summary:
Element Solutions is looking for a driven and experienced Data Engineer to support a government contract working hybrid with additional on-site presence as required by the client. The Senior Data Engineer is responsible for designing building and maintaining scalable data infrastructure that supports enterprise data processing and analytics initiatives. This role develops and manages data pipelines ETL processes and storage solutions that enable efficient collection transformation and delivery of data from multiple sources. The Senior Data Engineer collaborates closely with data scientists analysts and technical teams to ensure data platforms are reliable performant and optimized for advanced analytics and business intelligence.
Key Responsibilities
- Design construct and maintain the infrastructure and architecture required for large-scale data processing systems.
- Develop and implement data pipelines ETL processes and data integration workflows to collect transform and deliver data from diverse data sources.
- Build and maintain scalable data storage solutions including data lakes data warehouses and cloud-based data platforms.
- Collaborate with data scientists analysts and application developers to ensure data accessibility and usability for analytics and reporting.
- Optimize data systems for performance scalability and reliability.
- Implement data quality checks validation processes and monitoring to ensure data integrity.
- Support the development and maintenance of data models and data architectures that align with business and analytical requirements.
- Troubleshoot and resolve issues related to data pipelines infrastructure and system performance.
- Maintain documentation for data architecture workflows and technical processes.
- Stay current with industry trends emerging technologies and best practices in data engineering and data architecture.
Minimal Requirements
- Bachelors degree in Computer Science Data Engineering Information Systems or related field.
- Minimum 8 years of professional experience in data engineering data integration or a related technical field including 3 years in a leadership role.
- Ability to document data flows data dependencies and technical processes in support of business process analysis.
- Experience supporting data-intensive analytical research financial or regulatory environments.
- Demonstrated experience designing developing data pipelines data transformations and data workflows.
- Strong experience developing ETL/ELT pipelines and large-scale data processing solutions.
- Familiarity with data governance data quality metadata and access control considerations.
- Proficiency with SQL and programming languages such as Python Java or Scala.
- Experience working with relational and/or non-relational databases and data storage technologies.
- Strong understanding of data modeling data warehousing and data integration concepts.
- Ability to support modernization or migration efforts from legacy data environments.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Ability to work effectively in agile hybrid or iterative delivery environments including collaboration with cross-functional teams and incremental solution delivery.
- US Citizenship required.
- Must reside in the Continental US; and be within driving distance to Washington DC.
- Depending on the government agency specific requirements may include public trust background check or security clearance.
Preferred Qualifications
- Experience supporting data pipelines used for modeling forecasting or analytical workloads.
- Demonstrated experience in analyzing interdependencies across data pipelines repositories analytical models and workflows.
- Familiar with cloud-based data platforms and services (AWS preferred) and modern data engineering tools.
- Familiar with programming languages used for data analytics (e.g. R SAS Stata etc.)
- Familiar with data pipeline and orchestration tools (e.g. Databricks Apache Airflow AWS Glue Informatica etc.)
- Experience working in environments with federated ownership models and complex governance structures.
Required Experience:
Senior IC
About Company
We are a human-centered agency, sparking positive change with every digital interaction. Grounded in the scientific method, our approach to government modernization and digital transformation is enhanced by extensive expertise in DevOps, FHIR, and data analytics. We are a small busine ... View more
