Top Remote Data & Analytics Jobs in San Antonio, TX

Designs, builds, and operates scalable batch and streaming data pipelines, ETL/ELT workflows, cloud solutions, and secure Python REST APIs. Develops data foundations for machine learning, generative AI, embeddings, and retrieval-based applications. Ensures data quality, security, observability, lineage, and reliability while optimizing performance and cost. Leads architecture and code reviews, establishes engineering standards, mentors engineers, and collaborates with product, analytics, data science, and machine learning teams.

Leads analytics for a designated sub-vertical, serving as the primary analytics partner to Sales and senior clients. Translates ambiguous business questions into actionable insights, manages analytic engagements, supports partner performance, and influences campaign strategy. Uses SQL, AI tools, and compelling storytelling to deliver analysis, QBR narratives, measurement frameworks, and recommendations. Represents analytics in cross-functional and external discussions while helping prioritize team capacity and evolve scalable analytic processes.

Develops, architects, and maintains production ETL/ELT and C#/.NET data pipelines across cloud data platforms. Responsibilities include supporting Iceberg, DynamoDB, AWS Lambda, and Trino/Starburst systems; onboarding data sources; tuning performance; monitoring data quality; resolving incidents; coordinating schemas; documenting processes; mentoring engineers; and supporting releases, deployments, architecture, and roadmap decisions.

Conduct market research and competitive intelligence on U.S. higher education trends, learner behavior, program demand, and markets. Analyze internal and external data, build and maintain Microsoft Fabric and Power BI models, create dashboards, identify meaningful trends, and develop executive-ready presentations. Partner with marketing and other teams on program reviews, proposals, and strategic questions while managing multiple research projects and ensuring data accuracy.

Own the assessment, architecture, roadmap, and hands-on improvement of a large-scale database estate centered on MariaDB. Lead reliability, performance, replication, disaster recovery, observability, provisioning, migrations, and database automation. Partner with application teams on schemas and data-store decisions, investigate complex incidents, participate in on-call, and mentor engineers. The role requires deep MariaDB expertise, strong software engineering skills, Linux and infrastructure fundamentals, and the ability to influence technical decisions across teams.

Leads the enterprise data architecture vision and multi-year roadmap centered on data mesh principles. Defines domain ownership, data products, platform architecture, governance, standards, interoperability, security, and quality frameworks. Partners with executives, engineering, security, privacy, and compliance teams to drive adoption and modernization. Chairs architecture reviews, evaluates technologies, guides proofs of concept, mentors architects and engineers, and builds business cases for platform investment and migration.

Build and maintain SQL-based integrations connecting behavioral healthcare EHR/EMR systems to the Eleos platform. Investigate pipeline failures, data discrepancies, and quality issues to identify root causes. Develop reusable extraction, automation, and validation tooling; document data models, mappings, and business logic; and create standardized data models. Collaborate with platform engineers, product teams, and customer technical teams to establish secure access and deliver scalable, reliable integrations.

Leads enterprise Microsoft Fabric architecture, strategy, governance, and onboarding standards for large-scale data acquisition and operationalization. Designs Lakehouse, Warehouse, OneLake, semantic, ingestion, and reusable data-product architectures across Medallion layers. Establishes metadata, lineage, observability, security, compliance, and operational controls while advising executives and mentoring architects, engineers, and data modelers. Partners with delivery teams to align platform architecture with analytics, reporting, modeling, and AI initiatives.

Design and operate Alpaca’s scalable data platform on GCP, including lakehouse infrastructure, Kubernetes-based deployments, streaming and CDC pipelines, batch ingestion, BI access, cataloging, monitoring, and governance. Build infrastructure as code with Terraform and Ansible, operate distributed query engines and Apache Iceberg, maintain reliability practices, and collaborate with DevOps and analytics teams to support rapidly evolving data requirements.

Lead discovery and requirements gathering for credit union data and reporting initiatives. Map core banking and ancillary system data, define regulatory reporting logic and controls, specify executive dashboards, validate outputs, and drive adoption. Partner with credit union stakeholders and engineers to deliver data products addressing member growth, lending, deposits, risk, compliance, and marketing performance. Contribute domain expertise to reusable use cases, demonstrations, and prospect conversations.