Top Remote Data & Analytics Jobs in San Antonio, TX

Leads the Enterprise Control Tower technical team and develops the enterprise data foundation supporting AI applications. Responsibilities include creating data products and ontologies, managing technical requirements and governance, overseeing engineering operations, mitigating technical risks, managing budgets and staffing, building stakeholder relationships, and hiring and developing architects and engineers. The role requires strategic leadership, enterprise data platform ownership, and delivery of measurable business value.

This is a general interest opportunity for candidates who want to connect with QuickLaunch Analytics for potential future roles. The company delivers enterprise data analytics solutions using Power BI, Databricks, and Azure Cloud, helping organizations centralize, transform, and use trusted data for better decision-making.

Designs, develops, and maintains secure, scalable data pipelines, curated datasets, and data products supporting analytics and AI. Uses PySpark, SQL, Microsoft Fabric, Azure Synapse, dimensional modeling, and lakehouse architectures. Ensures data quality, governance, security, monitoring, performance, and production reliability while applying software engineering and DevOps practices. Partners with analysts, engineers, data scientists, and business stakeholders to translate requirements into trusted data solutions and improve platform efficiency.

Own company-wide analytics covering growth, conversion, care utilization, clinical outcomes, retention, and operational performance. Build executive dashboards, define consistent metrics, transform operational data into analysis-ready datasets, monitor data quality, troubleshoot pipelines, and develop the analytics roadmap. Partner with leadership and engineering to deliver complex SQL and Python analyses, strategic insights, and trusted reporting while advancing AI-enabled workflows.

Lead the architecture and implementation of cloud-based lakehouse and data warehouse solutions. Translate client needs into technical designs, establish governance and data quality practices, automate cloud data platforms, and mentor data engineering teams. The role also supports consulting engagements, client presentations, deployment optimization, and adoption of Databricks, Spark, MLOps, and modern data engineering technologies across Azure, AWS, and GCP.

Develop and lead scalable cloud data engineering solutions for data warehouse migration, modernization, analytics, and ETL/ELT projects. Design and implement solutions using Google Cloud technologies, SQL, Python, and BigQuery. Create testing strategies and plans, collaborate with customers and development teams, translate business requirements into technical solutions, and contribute to an agile environment.

Designs and implements enterprise cloud data architectures, including pipelines, warehouses, lakes, migrations, schemas, security, governance, and analytics solutions. Collaborates with executives, stakeholders, architects, engineers, and security teams to deliver scalable, reliable, and compliant systems. Creates technical documentation, presents solutions, mentors technical staff, evaluates emerging technologies, and improves deployment efficiency. The role requires customer-facing consulting, architecture design, data engineering, cloud platform expertise, and hands-on experience with distributed data systems.

Designs, builds, and optimizes scalable data pipelines, ETL workflows, integrations, and reporting solutions. Develops SQL, Python, and Spark processes; supports Azure and Microsoft Fabric data platforms; monitors production reliability; collaborates with stakeholders; participates in code reviews and documentation; and mentors junior engineers.

Designs, develops, and maintains scalable data systems, pipelines, ETL processes, databases, and data warehouses supporting public health operations. Responsibilities include data integration, cleansing, transformation, governance, security, monitoring, optimization, and collaboration with analysts, data scientists, and stakeholders. The role also provides technical guidance, training, and mentorship while supporting sustainable data infrastructure and traveling domestically up to 10%.

Abstracts fatal overdose data from death certificates and coroner or medical examiner reports into SUDORS. Coordinates with public health, vital records, forensic, and law enforcement partners; performs data quality assurance, narrative reviews, case validation, closeout reporting, and database updates. The role follows confidentiality protocols, supports surveillance teams, attends workgroups, and may contribute to reports, manuscripts, and data briefs. Remote work supports New Mexico, with occasional on-site abstraction travel as needed.

Owns end-to-end data visualization development for drug overdose surveillance and prevention programs. Collects, prepares, and analyzes quantitative and qualitative data; identifies trends; and creates accessible dashboards, charts, graphs, maps, reports, presentations, and fact sheets. Coordinates with communications and program teams to develop visuals for diverse audiences and stakeholders while managing program activities and competing priorities.

Leads real estate market research and analytics supporting franchise expansion, territory planning, site selection, portfolio optimization, and franchisee decision-making. Develops market models, dashboards, reports, GIS data, and territory packages; manages Sitewise and data integrations; evaluates demographics, competition, saturation, and location performance. Collaborates with development, marketing, real estate, franchisees, and external stakeholders on strategic analyses, special projects, and M&A evaluations.

Conduct quantitative research using healthcare data to produce analyses, thought leadership, presentations, visualizations, reports, and white papers. Responsibilities include analyzing large datasets with SQL, Python, R, and Excel; developing de-identified research datasets; identifying research topics; partnering with Marketing; communicating findings to technical and nontechnical audiences; and advising stakeholders on healthcare operations, clinical behavior, and care delivery.

Develops and optimizes SQL queries and data transformation processes for VA healthcare data migration, integration, validation, reporting, and quality initiatives. Analyzes large clinical and operational datasets, creates Power BI and other dashboards, investigates discrepancies, supports source-to-target mapping and database modeling, and maintains data quality monitoring, reconciliation reports, technical documentation, and validation procedures.