Senior Data Engineer

Elder Research•Raleigh, NC

79d•Hybrid

About The Position

Elder Research, Inc. (ERI) is seeking to hire a Senior Data Engineer with strong engineering skills who will provide technical support across multiple project teams by leading, designing, and implementing the software and data architectures necessary to deliver analytics to our clients, as well as providing consulting and training support to client teams in the areas of architecture, data engineering, ML engineering and/or related areas. The ideal candidate will have a strong command of Python for data analysis and engineering tasks, a demonstrated ability to create reports and visualizations using tools like R, Python, SQL, or Power BI, and deep expertise in Microsoft Azure environments. The candidate will play a key role in collaborating with cross-functional teams, including software developers, cloud engineers, architects, business leaders, and power users, to deliver innovative data solutions to our clients. This role requires a consultative mindset, excellent communication skills, and a thorough understanding of the Software Development Life Cycle (SDLC). Candidates should have 7-12 years of relevant experience and experience in client-facing or consultative roles. The role will be based out of Raleigh NC or Charlottesville VA and will require 2-4 days of Business Travel to our customer site every 6 weeks.

Requirements

Experience: 7-12 years in data engineering, analytics, or related fields, with a focus on Azure environments.
Education: Masters degree in Computer Science, Data Science, Engineering, or a related field.
Programming: Advanced expertise in Python; experience with R is a plus.
Data Tools: Proficient in SQL, Power BI, and Azure-native data tools.
Azure Knowledge: Strong understanding of Azure services, including data integration, storage, and analytics solutions.
SDLC Knowledge: Proven track record of delivering data solutions following SDLC methodologies.
Consultative Skills: Strong client-facing experience with excellent communication and presentation abilities.
Due to Customer requirements Candidates must be US Citizens or Permanent Residents of the United States of America.

Nice To Haves

Certifications in Azure (e.g., Azure Data Engineer, Azure Solutions Architect).
Familiarity with Azure Functions, Event Grid, and Logic Apps.
Hands-on experience with machine learning frameworks and big data processing tools (e.g., Spark, Hadoop).
Familiarity with CI/CD pipelines and DevOps practices for data engineering workflows.

Responsibilities

Develop, optimize, and maintain scalable data pipelines and systems in Azure environments.
Analyze large, complex datasets to extract insights and support business decision-making.
Create detailed and visually appealing reports and dashboards using R, Python, SQL, and Power BI.
Work closely with software developers, cloud engineers, architects, business leaders, and power users to understand requirements and deliver tailored solutions.
Act as a subject-matter expert in data engineering and provide guidance on best practices.
Translate complex technical concepts into actionable business insights for stakeholders.
Leverage Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Blob Storage for data solutions.
Ensure data architecture is aligned with industry standards and optimized for performance in cloud environments.
Follow and advocate for SDLC best practices in data engineering projects.
Collaborate with software development teams to ensure seamless integration of data solutions into applications.

Benefits

Competitive Salary and Benefits
Important Work / Make a Difference supporting U.S. national security.
Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract.
People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement.
Company Stock Ownership: all employees are provided with shares of the company each year based on company value and profits.

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