Data Engineer & Analytics Developer at Freese and Nichols | NC, US | Rezi

Data Engineer & Analytics Developer at Freese and Nichols

Data Engineer & Analytics Developer

Freese and Nichols · NC, US

Today

Data Engineer & Analytics Developer

Freese and Nichols · NC, US

5 hours ago
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About the Role

FNI is seeking a hands-on Data Engineer & Analytics Developer to transform complex data into trusted information, meaningful insights, and working analytical tools. This role emphasizes data engineering, ETL/ELT processes, data quality, and reliable data modeling, while also conducting analysis and building interactive dashboards and tools. The ideal candidate is detail-oriented, comfortable with data exploration, and brings strong data management practices.

Responsibilities

  • Investigate and profile source data from various systems to identify challenges.
  • Design, build, document, and maintain repeatable ETL/ELT pipelines.
  • Write and optimize SQL queries and use programming/scripting for data automation.
  • Develop and maintain logical data models, schemas, and structured datasets.
  • Implement data-quality checks, reconciliation, and exception handling.
  • Troubleshoot data issues, improve reliability and performance, and maintain documentation.
  • Evaluate technical feasibility and provide data-engineering solutions.
  • Apply sound data management practices throughout the data lifecycle.
  • Use version control practices to manage code, scripts, and configurations.
  • Perform exploratory and quantitative analysis to identify patterns and trends.
  • Apply understanding of data provenance and context to assess results.
  • Develop analysis-ready datasets, calculations, and summaries.
  • Interpret results and validate conclusions with technical experts and leads.
  • Build, configure, test, and deploy interactive dashboards, reports, and tools.
  • Implement visualization direction for layouts, charts, maps, and user interactions.
  • Connect visualization products to reliable datasets and implement necessary calculations.
  • Test analytical results, dashboard behavior, usability, and performance.
  • Translate requirements and visualization direction into technical tasks.
  • Coordinate with team members to validate data and deliver solutions.
  • Communicate technical progress, analytical findings, and implementation options.
  • Prepare maintainable documentation and handoffs; contribute reusable assets.

Requirements

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Geography, or a related field.
  • At least five (5) years of professional experience in data engineering, data analytics, business intelligence, or a related discipline.
  • Demonstrated success in taking raw data through ingestion, ETL/ELT, cleaning, validation, transformation, and modeling.
  • Strong SQL skills, including joins, complex queries, and relational data modeling.
  • Proficiency with Python or another scripting/programming language for data processing and automation.
  • Ability to integrate and reconcile information from multiple data sources.
  • Ability to identify data-quality problems and document reproducible solutions.
  • Proven ability to perform analysis, assess credibility of results, and explain data meaning.
  • Experience developing interactive analytical tools or dashboards in at least one enterprise-grade platform (e.g., Power BI, Tableau, Esri GIS).
  • Ability to work from technical requirements and UI/UX direction to implement a complete deliverable.
  • Working knowledge of version control practices for managing code, scripts, configurations, and technical assets.
  • Effective communication, collaboration, and time-management skills.

Skills

  • Data Engineering
  • Analytics Development
  • ETL/ELT
  • Data Quality
  • Data Modeling
  • SQL
  • Python
  • Scripting
  • Data Analysis
  • Data Management
  • Version Control
  • Power BI
  • Tableau
  • Esri GIS
  • Geospatial Data Integration
  • R
  • JavaScript
  • Statistical Analysis
  • Agile Delivery Practices

Location

  • Remote
  • Hybrid

Work Type

  • Hybrid
  • Full-time

Experience Level

  • 5+ years of professional experience
  • Substantial hands-on data engineering responsibility

Education Level

  • Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Geography, or a related field.

Benefits

  • Comprehensive benefits package
  • Paid overtime for salaried employees
  • Annual bonus
  • Access to company cabins in Red River, New Mexico and Banner Elk, North Carolina

About the Company

  • At the heart of our culture is our LEADS values (Learn continuously, Engage as family, Act with integrity, Deliver quality, and Serve always).
  • We strive to be the firm of choice for clients and employees through innovative approaches, practical results, and outstanding service.
  • For more than 130 years, we have been planning and designing the infrastructure our communities need: developing water supplies, designing roadways and bridges, preparing for natural disasters, and much more.
  • Join our team of 1,400+ employees as we grow from Virginia to Colorado.

Equal Opportunity

  • Freese and Nichols is firmly committed to Equal Employment Opportunity (EEO) and prohibits employment discrimination for employees and applicants based upon race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
  • Freese and Nichols provides reasonable accommodations to qualified applicants with disabilities. If you need an accommodation to participate in our application or interview process, please submit a request through our Contact Us form.