Data Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain scalable ETL/ELT pipelines and data frameworks that integrate information from various sources.

• Transform, model, validate, and arrange data for dashboards, visualizations, reporting, and decision-making support.

• Convert client and business needs into data engineering solutions utilizing Databricks or Microsoft Fabric, SQL, and related technologies.

• Enhance data accessibility, reliability, and delivery efficiency through automation, data quality controls, documentation, and technical process enhancements.

• Design, create, maintain, and troubleshoot pipelines that channel data into centralized platforms.

• Construct and optimize data processing workflows.

• Develop and sustain structured and dimensional data models.

• Integrate and organize source-system data into accessible and consistent datasets.

• Implement validation, quality controls, governance practices, and thorough documentation.

• Identify and address data issues, inconsistencies, and pipeline failures.

• Create datasets and structures that support dashboards and analytical solutions for stakeholders.

• Assist in the development of dashboards and visualizations using Power BI or similar platforms.

• Collaborate with client stakeholders, analytics teams, business leaders, and technical partners to gather requirements.

• Convey technical concepts, data limitations, dependencies, and delivery progress to both technical and non-technical stakeholders.

• Automate workflows, minimize manual processes, enhance maintainability, and support geospatial or location-intelligence requirements when applicable.

⛳️ Requirements

• Approximately 3–4+ years of relevant experience in data engineering, analytics engineering, business intelligence, or a closely related field.

• Practical experience with Databricks or Microsoft Fabric, including hands-on development of data solutions.

• Proven experience in building, maintaining, and troubleshooting ETL/ELT pipelines.

• Strong working knowledge of SQL, data transformation, data integration, and data modeling.

• Experience in preparing structured datasets for business intelligence, dashboards, reporting, visualization, or stakeholder consumption.

• Understanding of data quality, validation, governance, and data management practices.

• Ability to translate business requirements into technical deliverables and collaborate effectively with business, client, and technical stakeholders.

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Data Analytics, or a related field is preferred.

• Experience with both Databricks and Microsoft Fabric is preferred.

• Familiarity with Lakehouse architecture, Delta Lake, Unity Catalog, or similar modern data-platform technologies is preferred.

• Experience utilizing Python or another programming language for data engineering or automation is preferred.

• Familiarity with Power BI, Tableau, or similar visualization platforms is preferred.

• Experience with dimensional modeling, data warehousing, enterprise reporting, or enterprise data management frameworks is preferred.

• Background in Esri/ArcGIS, geospatial analytics, mapping, or location intelligence is preferred.

• Experience supporting enterprise clients, consulting engagements, client-facing analytics initiatives, or AI-enabled analytics technologies is preferred.

🏝️ Benefits

• Health insurance

• Vision insurance

• Dental insurance

• Flexible spending accounts

• Health savings accounts

• Retirement savings plans

• Life insurance

• Disability insurance

• Paid and unpaid time away from work

• Competitive pay