Top Remote Data & Analytics Jobs in Dallas, TX

Design, build, and maintain scalable data pipelines, data models, and analytics solutions using Microsoft Fabric and Azure. Develop Lakehouse and Warehouse architectures, Fabric Notebooks with PySpark and Spark SQL, ETL/ELT workflows, and Power BI semantic models. Optimize performance, ensure data quality, security, governance, and regulatory compliance, and collaborate with analysts, data scientists, and business stakeholders to support business intelligence and advanced analytics.

Clean and reconcile employee master data and historical leave records from multiple sources. Define standardized HR data structures, establish validation and access controls, and automate leave request, approval, and balance tracking workflows using Google Workspace or a suitable alternative. Document maintenance processes and support potential expansion across international branches. The contractor will independently manage the fixed-scope project, propose an RFQ, and provide timeline, hours, costs, assumptions, and deliverables.

Leads enterprise Snowflake architecture, administration, governance, security, performance, and cost optimization across AWS and Azure. Manages Snowflake administrators and data engineers, serves as Product Owner, and leads delivery for federal and public-sector clients. Responsibilities include stakeholder management, technical escalations, data integration, agile backlog prioritization, risk and SOW management, and executive engagement.

Develop customer analytics that improve retention, growth, adoption, and operational performance. Build and maintain BI dashboards, customer health metrics, churn-risk reporting, and predictive models. Partner with Client Success, Product, Sales, and Operations to translate complex findings into actionable recommendations. The role also owns data quality, governance, reporting automation, workflow improvements, and stakeholder communication.

Supports actuarial financial data systems and marts through data-set development, SQL testing, monthly refreshes, validation, quality assurance, reporting, and claims data analysis. The role gathers requirements, resolves system issues, documents technical specifications, develops decision-support solutions, and assists senior team members with business projects. Healthcare claims, Snowflake, and AWS experience are beneficial.

Maintains and optimizes actuarial data marts, performs financial data refreshes and quality checks, develops SQL-based claims data solutions, and supports reporting, audits, business requirements, application configuration, and project teams. Serves as a technical lead and liaison among actuarial, business, and vendor stakeholders while ensuring data accuracy, completeness, and auditability.

Leads enterprise data engineering and platform execution, including modernization roadmaps, cloud transformation, governance, reliability, operational excellence, budgets, vendors, and investment prioritization. Directs multiple engineering managers and teams across platform engineering, data engineering, integration, and operations. Partners with architecture, security, compliance, analytics, clinical, product, finance, and business leaders to deliver secure, scalable, resilient data capabilities supporting AI, interoperability, reporting, and digital transformation.

Administers Informix, MySQL, and other databases across cloud and hybrid environments. Responsibilities include configuration, maintenance, performance tuning, security remediation, replication, monitoring, Tier 3 support, schema changes, migrations, SQL data extraction, backup recovery testing, automation, compliance, and collaboration with engineering, architecture, security, and application teams.

Build and operate scalable cloud data pipelines, warehouses, transformation layers, and ML production systems. Lead data infrastructure architecture, warehouse performance optimization, DataOps monitoring, CI/CD improvements, data quality testing, and large-scale data product delivery. Collaborate across teams, promote data stewardship, and support batch and streaming pipelines while deploying, serving, and monitoring machine learning models.

Build and maintain Databricks data pipelines across bronze, silver, and gold layers. Ingest APIs, logs, billing exports, and reference data; implement attribution logic, governance, data quality monitoring, and cost optimization. Manage Unity Catalog permissions, lineage, refresh schedules, incremental processing, and CI/CD workflows while supporting multi-cloud storage and high-volume caller-identity data.

Own the architecture and technical direction of Northbeam’s data ingestion and integration platform. Design scalable API-based ETL, event-driven and batch processing systems; establish standards for observability, freshness, and failure handling; and guide build-versus-buy decisions. Collaborate across engineering, infrastructure, product, and business teams while mentoring engineers, leading design reviews, and driving complex platform initiatives to completion.