Top Remote Data & Analytics Jobs in Houston, TX

Build and maintain large-scale data processing pipelines using Apache Spark (PySpark/Scala) and Python. Design ETL workflows, implement distributed data processing, use version control (Git), and work with cloud platforms (GCP/AWS/Azure).

Build and optimize Power BI reports, dashboards, and semantic models. Partner with stakeholders and Data Engineering (Microsoft Fabric) to transform data into insights, use Copilot Studio for AI-enabled reporting, improve performance/governance, support Excel-heavy reporting, and assist project management to maintain contractual compliance.

Design, build, and maintain cloud and on-prem data warehouses, data pipelines, and ETL/ELT workflows (Snowflake, SQL Server, Airflow, DBT, Python). Ensure data quality, performance, CI/CD, and support analytics-ready datasets for reporting and BI while collaborating with stakeholders and following Agile practices.

Designs, builds, and maintains scalable data warehouses, pipelines, and lakes using the Microsoft analytics stack. Transforms and models data, develops ETL/ELT, reporting, and dashboards, and partners with clients to gather requirements and deliver reliable analytics solutions. Works across the full delivery lifecycle and within Agile practices.

Design, build, and optimize Microsoft Fabric-based lakehouse solutions. Develop scalable ETL/ELT pipelines and Spark notebooks, implement medallion architectures, support CI/CD, governance, lineage, and client-facing collaboration for cloud analytics projects.

Senior Exasol data engineer to design, build, optimize, and validate SQL-based data pipelines for healthcare analytics. Responsibilities include complex query tuning, extracting/staging from SQL Server, chart validation, applying clinical terminologies, quality measure development, and maintaining disciplined version-controlled engineering practices.

Summer 2027 paid internship in FTI Consulting's Technology segment. Interns join project teams, work with professionals and senior leaders, gain hands-on experience in Technology or Advanced Analytics practice areas, and are mentored by a dedicated coach. Candidates must be students graduating Dec 2027–Sep 2028, work full-time during the internship, and be authorized to work in the U.S.

FTI's Skills Accelerate program hires recent graduates as Technology Consultants or Advanced Analytics Researchers to learn e-discovery, digital forensics, advanced analytics, and document review. Consultants work on client-facing engagements across investigations, litigation support, data privacy, and project management, receiving coaching and formal development and potential full-time placement post-graduation.

Own and deliver analytics solutions to support operational and financial decisions. Define reporting requirements and KPIs with stakeholders, validate and reconcile data, write and optimize SQL, support ETL pipelines, and develop/maintain Power BI dashboards to produce actionable insights for Revenue Cycle Management.

Support federal clients with organizational assessment, data analytics, and visualization. Develop and implement analytic tools/reports, prepare briefings, maintain SharePoint/Teams, collaborate with stakeholders, manage project tasks, and support implementation of recommendations. Remote role with occasional travel; Power Platform experience preferred.

Design, build, and maintain scalable ETL/ELT data pipelines and analytical platforms on AWS and Databricks. Migrate legacy workflows to cloud-native services, implement data lake and catalog solutions, enable AI/RAG/vector search, ensure FedRAMP/NIST compliance, optimize performance, and mentor junior engineers while collaborating in Agile teams.

Design, build, and maintain scalable ETL/ELT pipelines and data models using Databricks, Spark, dbt, SQL, and AWS services. Optimize ingestion, transformation, orchestration, and monitoring across structured and semi-structured data. Collaborate in Agile teams, support analytics and reporting for large-scale federal environments, and evaluate new data tools and platform improvements.

Design, build, and maintain scalable AWS-native data platforms and ETL/ELT pipelines using Databricks, Spark, Python, dbt, and SQL. Implement ingestion, transformation, orchestration, and analytics solutions (Iceberg, Parquet, Redshift, Athena), support FedRAMP/NIST controls, migrate legacy systems to cloud-native services, and mentor junior engineers while collaborating in Agile teams.