Data Engineer supporting federal customers with Data Analytics and Business Intelligence solutions. Collaborating within an Agile environment to deliver actionable insights from complex data sets.
Responsibilities
Complete development efforts across data pipeline to store, manage, store, and provision to data consumers.
Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices.
Write code to ensure the performance and reliability of data extraction and processing.
Support continuous process automation for data ingest.
Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.
Work with program management and engineers to implement and document complex and evolving requirements.
Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork.
Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists.
Requirements
Must be a US Citizen.
Must be able to obtain a Public Trust Clearance.
7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models.
Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats.
Proficiency in developing ETL processes, and performing test and validation steps.
Proficiency to manipulate data (Python, R, SQL, SAS).
Strong knowledge of big data analysis and storage tools and technologies.
Strong understanding of the agile principles and ability to apply them.
Strong understanding of the CI/CD pipelines and ability to apply them.
Experience with relational database, such as, PostgreSQL.
Work comfortably in version control systems, such as, Git Repositories.
Benefits
Health, Dental, and Vision
Life Insurance
401k
Flexible Spending Account (Health, Dependent Care, and Commuter)
Paid Time Off and Observance of State/Federal Holidays
Data Architect designing end - to - end Snowflake data solutions and collaborating with technical stakeholders at Emerson. Supporting the realization of Data and Digitalization Strategy.
Manager of Data Engineering leading data assets and infrastructure initiatives at CLA. Collaborating with teams to enforce data quality standards and drive integration efforts.
Data Engineer building modern Data Lake architecture on AWS and implementing scalable ETL/ELT pipelines. Collaborating across teams for analytics and reporting on gaming platforms.
Chief Data Engineer leading Scania’s Commercial Data Engineering team for growing sustainable transport solutions. Focused on data products and pipelines for BI, analytics, and AI.
Entry - Level Data Engineer at GM, focusing on building large scale data platforms in cloud environments. Collaborating with data engineers and scientists while migrating systems to cloud solutions.
Data Engineer designing and building scalable ETL/ELT pipelines for enterprise - grade analytics solutions. Collaborating with product teams to deliver high - quality, secure, and discoverable data.
Data Engineer responsible for data integrations with AWS technology stack for Adobe's Digital Experience. Collaborating with multiple teams to conceptualize solutions and improve data ecosystem.
People Data Architect designing and managing people data analytics for Gen, delivering actionable insights for HR. Collaborating across teams to enhance data - driven decision - making.
Data Engineer role focused on shaping future connectivity for customers at Vodafone. Involves solving complex challenges in a diverse and inclusive environment.