{"id":3895433,"url":"https://alion.io/job/freese-and-nichols-data-engineer-analytics-developer","title":"Data Engineer & Analytics Developer","company":{"id":2247336,"name":"Freese and Nichols","domain":"freese.com","url":"https://alion.io/company/freese-com","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":86,"open_postings":33,"ghost_share":0,"stale_share":0.576,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-11-07T05:47:08Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Raleigh, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"DuckDB","optional":true},{"name":"GCP","optional":true},{"name":"JavaScript","optional":true},{"name":"Polars","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-06T23:04:05Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T04:23:56Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"FNI is seeking a hands-on Data Engineer & Analytics Developer to transform complex, inconsistent, and disparate data into trusted, analysis-ready information, meaningful insights, and working analytical tools. The primary emphasis of this role is data engineering, accessing and assessing source data, building repeatable extract-transform-load (ETL/ELT) processes, improving data quality, and producing reliable data models and outputs. The role also conducts analysis and builds interactive dashboards, reports, and geospatial or other data-driven tools. The ideal candidate is detail-oriented and comfortable with in depth data exploration, bringing strong data management practices to their work to ensure data, code, transformations, metadata, and analytical outputs are organized, documented, traceable, and maintainable.\nThis position partners with a business analyst / visualization lead who guides client discovery, translates user requirements, and directs the overall user experience (UI/UX) and visualization approach. The Data Engineer & Analytics Developer is responsible for executing the technical work: engineering the data, analyzing it, and implementing and refining the visualization deliverables under that guidance. Successful candidates can work alongside the business analyst / visualization lead to go from raw data to a functioning end-user solution, applying sound technical and analytical judgment to produce reliable, maintainable outputs and meaningful insights.\nKey Responsibilities\nData Engineering, Integration & Quality | Primary Focus\nInvestigate and profile source data, including databases, spreadsheets, APIs, GIS datasets, files, and cloud-based systems; identify access, structure, quality, and integration challenges.\nDesign, build, document, and maintain repeatable ETL/ELT pipelines that extract, combine, clean, standardize, and transform data from disparate sources.\nWrite and optimize SQL queries and use programming or scripting to automate data preparation, transformation, validation, and recurring workflows.\nDevelop and maintain logical data models, schemas, and structured datasets suitable for analysis, reporting, dashboards, and geospatial applications.\nImplement data-quality checks, reconciliation, and exception handling for missing, duplicated, inconsistent, or erroneous records; verify results with project subject matter experts.\nTroubleshoot data issues, improve reliability and performance, and maintain clear documentation of source-to-output transformations, assumptions, and dependencies.\nEvaluate technical feasibility, dependencies, and implementation effort and provide practical data-engineering solutions in coordination with the project and business analysis leads.\nApply sound data management practices throughout the data lifecycle, including consistent naming and organization, metadata standards and data dictionaries, documentation of data sources, transformations and lineage, identification of authoritative and derived datasets, and capture of important assumptions, limitations, and intended uses.\nUse version control practices to manage code, scripts, configuration, and other technical assets so that analytical workflows are traceable, reproducible, and maintainable.\nData Analysis & Insight Development\nPerform exploratory and quantitative analysis to identify patterns, trends, anomalies, relationships, and findings that address project questions.\nApply an understanding of data provenance, domain context, and analytical limitations to distinguish meaningful insights from misleading or incomplete results.\nDevelop analysis-ready datasets, calculations, summaries, and clean outputs that support decision-making and downstream applications.\nWork with technical experts and the business analyst / visualization lead to interpret results, validate conclusions, and help explain the significance and practical implications of findings.\nDashboard, Visualization & Analytical Tool Execution\nBuild, configure, test, and deploy interactive dashboards, analytical reports, and data-driven tools using platforms such as Power BI, Tableau, Excel, and Esri GIS applications, as project needs dictate.\nImplement the visualization lead's direction for page layouts, charts, map displays, filters, navigation, labeling, user interactions, and other UI/UX elements; refine the product through iterative review.\nConnect visualization products to reliable datasets and implement calculations, data relationships, and refresh processes necessary for accurate, maintainable tools.\nTest analytical results, dashboard behavior, usability, and performance; correct defects and enhance deployed products as data and user needs evolve.\nProject Delivery & Collaboration\nTranslate documented requirements and visualization direction into technical tasks and working deliverables; raise feasibility, data-quality, scope, and implementation concerns early.\nCoordinate with FNI engineers, scientists, project managers, and other technical staff to validate data and deliver solutions that fit the client's operating context.\nCommunicate technical progress, analytical findings, and implementation options clearly to both technical and non-technical team members.\nPrepare maintainable documentation and handoffs; contribute reusable code, data processes, templates, and technical input to scoping and proposal efforts.\nQualifications\nBachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Geography, or a related field.\nAt least five (5) years of professional experience in data engineering, data analytics, business intelligence, or a related discipline, including substantial hands-on data engineering responsibility.\nDemonstrated success taking raw or poorly structured data through ingestion, ETL/ELT, cleaning, validation, transformation, and modeling to produce reliable analytical outputs; experience building processes, not solely consuming prepared datasets.\nStrong SQL skills, including joins, complex queries, and relational data modeling; proficiency with Python or another scripting/programming language used for data processing and automation.\nAbility to integrate and reconcile information from multiple data sources, identify data-quality problems, and document reproducible solutions.\nProven ability to perform analysis, assess the credibility of results, and explain what the data means in the context of a real-world problem.\nExperience developing interactive analytical tools or dashboards in at least one enterprise-grade platform such as Microsoft Power BI, Tableau, or Esri GIS / Experience Builder.\nAbility to work from technical requirements and UI/UX direction to implement a complete, functional deliverable, including testing and iterative improvement.\nWorking knowledge of version control practices for managing code, scripts, configurations, and other technical assets in a collaborative environment.\nEffective communication, collaboration, and time-management skills across concurrent assignments.\nPreferred Qualifications\nExperience with cloud data services or platforms such as Microsoft Azure, AWS, or Google Cloud, and with scheduled or orchestrated data-processing workflows.\nExperience with advanced Power BI data modeling, DAX, Power Query (M), Tableau development, or comparable BI-platform capabilities.\nExperience with geospatial data integration, GIS analysis, and Esri applications; familiarity with environmental, municipal, infrastructure, or public-sector data.\nAdditional skills in R, Python, JavaScript, statistical analysis, or other analytical and application-development methods.\nKnowledge of iterative or Agile delivery practices and relevant certifications (for example, Microsoft PL-300, Tableau, or Esri credentials).\nExperience with modern data processing, query, and analytical technologies beyond traditional relational databases, such as DuckDB, Spark, Polars, or similar tools.\nAbout Freese and Nichols\nAt the heart of our culture is our LEADS values (Learn continuously, Engage as family, Act with integrity, Deliver quality, and Serve always). Each year, our employee engagement survey confirms that our leaders and our employees live our values.\nWe 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.\nBesides our comprehensive benefits package (see more at Benefits That Work for You), we offer paid overtime for salaried employees, an annual bonus, and access to company cabins in Red River, New Mexico and Banner Elk, North Carolina. We are proud of our flexible work environment which includes a hybrid schedule with up to 40% of remote work.\nJoin our team of 1,400+ employees as we grow from Virginia to Colorado.\nFreese 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.\nFreese and Nichols provides reasonable accommodations to qualified applicants with disabilities. 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