Top Remote Data & Analytics Jobs in San Antonio, TX

Build and support scalable big data pipelines, integrations, and Data Lakehouse architecture for marketing, analytics, reporting, and AI applications. The role develops data models, monitors data quality, troubleshoots production issues, provides post-deployment support, and partners with analytics, data science, business, and engineering teams on long-term platform strategy.

The role involves driving the identification of requirements, improving systems processes, developing prototypes, and ensuring usability in product development projects within an AI company.

Leads data product engineering across Natera’s data platform, building certified, AI-ready analytics products and self-service experiences. Establishes standards, golden paths, data quality, governance, observability, and measurable delivery practices across domains. Drives AI-native engineering, agentic development, and productivity improvements while hiring and developing engineering teams. Requires hands-on technical leadership across Python, SQL, dbt, Snowflake, AWS, orchestration, and regulated healthcare data environments.

Develop and maintain Power BI, SSRS, SQL, recurring, and ad hoc reports for the Mortgage Lending Division. Analyze large datasets, validate regulatory reporting data, identify trends, automate reporting, and provide actionable insights. Collaborate with business units, support HMDA and fair lending reporting, document data dictionaries and procedures, and train users on reporting tools.

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).

Leads complex data analysis projects supporting healthcare operations, including claims, provider, member, clinical, HEDIS, pharmacy, and reporting functions. Extracts, models, reconciles, audits, and analyzes data from multiple systems using SQL and analytical tools. Develops reports, identifies trends and operational impacts, supports management decisions, ensures reporting compliance, and mentors other Data Analysts. Requires project involvement and may coordinate workload and activities for analysts.

Administers and secures Oracle databases supporting DISA contract systems. Responsibilities include database installation, tuning, access management, outage response, disaster recovery, security patching, STIG compliance, scripting, release support, data modeling, legacy data migration, reconciliation, and system integration. The role also supports Appian data stores and coordinates database changes with DISA, hosting providers, ISSOs, and development teams.

Build and maintain SQL-based marketing analytics infrastructure, data models, dashboards, and reporting. Analyze marketing channels, affiliates, conversion funnels, cohorts, revenue, profitability, and partner performance. Translate complex findings into actionable recommendations for budget allocation and optimization. Ensure data quality, governance, documentation, and metric consistency while partnering cross-functionally with Marketing, Sales, Finance, Operations, Product, and Technology. The role is a hands-on individual contributor with potential responsibility for mentoring or managing one analyst.

Leads enterprise data engineering strategy and architecture, designing scalable cloud data platforms, pipelines, models, governance, and AI-assisted engineering solutions. Establishes technical standards, security, observability, and reusable frameworks; influences architecture decisions across teams without direct management. Mentors senior engineers, partners with business and technical stakeholders, and remains hands-on with cloud technologies, software architecture, data modeling, and platform design.

Own go-to-market funnel reporting, dashboards, data quality, and analysis for Sales, Marketing, and RevOps. Integrate CRM and marketing data, monitor lead scoring and attribution models, investigate funnel performance, identify root causes, and provide actionable recommendations. Maintain reporting systems, audit data hygiene and tool adoption, and communicate insights clearly to non-technical stakeholders in a remote-first SaaS environment.