Senior Data Engineer (Hybrid)

Analytica

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Engineering, IT, or related fields
  • Over 7 years of experience in a Data Engineer role or similar within enterprise initiatives
  • Minimum 3 years of hands-on experience with various Azure technologies (ADF, ADLS Gen 2, etc.)
  • Proficiency in DataOps, DevSecOps, and CI/CD workflows, preferably with StreamSets
  • Experience in designing and developing metrics and reporting tools like Tableau or PowerBI
  • Strong communication and interpersonal skills to collaborate effectively with cross-functional teams
  • Ability to secure US Federal Clearance

Responsibilities

  • Lead initiatives to create and maintain optimal data pipeline architecture
  • Architect data systems and build out ETL pipelines and data models
  • Design and maintain complex data processing pipelines using Azure Databricks
  • Automate deployment processes for data collection and processing systems
  • Design data schemas and manage internal data warehouses and SQL databases
  • Implement DataOps and DevSecOps practices for data initiatives
  • Conduct continuous improvement initiatives and root cause analysis
  • Mentor and support team members in their professional development

Benefits

  • Engagement with federal clients on high-impact projects
  • Opportunity to lead and shape data engineering practices
  • Collaborative Agile/Scrum team environment
  • Professional development and mentoring opportunities
  • Cutting-edge projects utilizing Azure technologies
Full Job Description
Analytica is seeking an experienced Senior Data Engineer to support architecting, building, and optimizing enterprise DataOps pipelines to support federal clients. The ideal candidate will be comfortable working in an agile, multi-faceted team that involves direct, collaborative client engagement to design and develop scalable, efficient data pipelines.

Responsibilities include (but not limited to):
  • Lead initiatives to create and maintain optimal data pipeline architecture.
  • Architect data systems, stand up data platforms, build out ETL pipelines, write custom code, interface with data stores, perform data ingestion, and build data models
  • Design, build and maintain large, complex data processing pipelines using Azure Databricks that meet enterprise requirements for reporting and analytics.
  • Design, implement, and automate deployment of our distributed system for collecting and processing data from multiple sources.
  • Design data schema and operate internal data warehouses and SQL database systems.
  • Implement DataOps and DevSecOps for data initiatives using UMA's preferred processes and tools. Participate as team member / leader in Agile/Scrum teams
  • Work on continuous improvement initiatives and effectively address root cause analysis outcomes to deliver sustainable excellence.
  • Mentor, coach, and support team members


Basic Qualifications:
  • Bachelor's degree in Computer Science, Engineering, IT, or other scientific or quantitative fields
  • 7+ years of experience in a Data Engineer or equivalent role in enterprise initiatives
  • 3+ years of experience with Azure: ADF, ADLS Gen 2, Azure Synapse, Databricks, Data Factory or equivalent technologies,
  • Experience with Data Ops , DevSecOps, CI/CD workflows, ideally with StreamSets
  • Experience building processes to support data transformation, data structures, metadata, dependencies, and workload management.
  • Experience with design and development of ongoing metrics, reports, analyses, and dashboards using tools like Tableau or PowerBI to drive key business decisions
  • Strong communication, interpersonal, and collaboration skills with both business and technical resources
  • Demonstrated team player with proactive, can-do attitude with a demonstrated ability to handle multiple priorities.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Ability to secure a US Federal Clearance.

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