Wireless Data Engineer

Wireless Data Engineer:
We are seeking a Wireless Data Engineer who will play a pivotal role in designing, developing, and maintaining globally distributed data architectures to support the efficient processing and analysis of large-scale network data. They will accelerate all aspects of data processing, from ingestion to storage analytics, and will work closely with data scientists, analysts, and other stakeholders to understand their data requirements and implement solutions; including edge computing solutions, to meet those needs.
In this role, you will:

• Design, develop, and maintain scalable data flows for ingesting, validating, processing, and transforming large volumes of structured and unstructured data.
• Create and implement data models and schemas optimized for wireless network analytics, focusing on factors such as dwell times and volume metrics.
•  Ensure data consistency, integrity, and quality throughout the integration process.
• Develop and optimize algorithms for data transport, workflows, and processing of large datasets across globally distributed wireless networks.
• Establish data quality standards and implement processes for data validation, normalization, and enrichment, ensuring high-quality data for analysis.
• Monitor and optimize the performance of data pipelines, databases, and processing systems, identifying, and resolving bottlenecks and performance issues.
• Collaborate with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions aligned with business objectives.
• Document data flows, architectures, and processes to ensure transparency and facilitate knowledge sharing across the organization.
• Stay abreast of emerging technologies, tools, and best practices in data engineering, incorporating them to enhance existing systems and processes.

The ideal candidate would possess:

• B.S. or M.S. in Computer Science, Engineering, or related field.
• Proven experience as a data engineer in a similar role, with a strong background in data management, data processing, and distributed systems.
• Proficiency in programming languages such as Python, Java, Scala, or SQL.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of database technologies, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases.
• Excellent problem-solving and attention to detail.
• Effective communication and collaboration skills, with the ability to work effectively in a team environment.

Why Choose DGS?

• Opportunity to work at the forefront of RF environmental awareness technologies, shaping the future of telecommunications.
• Competitive compensation package, including salary benefits, and opportunities for professional development.
  
  • Roth + Traditional 401(k) options
  • Dental, Medical, and Vision Insurance
• Make a meaningful impact by contributing to solutions that improve network performance, reliability, and sustainability.

If you are passionate about data science, telecommunications, and RF environmental awareness, we invite you to join us on our journey to revolutionize the wireless communication industry. Apply now to be part of our innovative team!
EEO/DEI Statement:
 

• The equal employment opportunity policy of the DGS Company provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. DGS hires and promotes individuals solely based on their qualifications for the job to be filled. 
• We are committed to fostering a culture of belonging where everyone feels seen, heard, valued for who they are and empowered to succeed. Our approach to cultivating a diverse, equitable, and inclusive culture is rooted in listening, learning and collective action. By embracing the diversity of our people, we achieve our best work and fuel innovation - generating the best possible outcomes for our customers and the communities they serve.