Top Senior Data & Analytics Jobs in Baltimore, MD

Build, deploy, and maintain scalable data pipelines and platforms for mission-driven projects. Validate and normalize datasets, develop schemas, implement ETL workflows, and create monitoring dashboards and metrics. Collaborate with AI/ML engineers, cloud architects, and technical leaders to support governed, high-quality data flows and reliable model performance. Improve pipeline performance and support data engineering for operational, research, and enterprise systems.

Performs configuration and data management for DOD and commercial systems. Supports configuration control, engineering change proposals, technical documentation, audits, configuration control boards, contract technical packages, and procedural compliance. Maintains data applications, configuration management plans, technical specifications, and organizational standards while coordinating hardware and software configuration changes.

Senior Addepar data engineer/analyst responsible for supporting and scaling Addepar integrations, building and maintaining data pipelines (Addepar↔Snowflake/Canoe/other platforms), diagnosing and resolving data quality issues, developing SQL-based reconciliations and automation, partnering with business and technology stakeholders, and supporting production operations, governance, testing, and documentation for wealth and asset management data.

Build and operate Sinclair’s enterprise Snowflake data platform, developing production pipelines, integrations, ELT models, data quality controls, observability, governance, and performance optimizations. The role requires hands-on Snowflake, Openflow, SQL, and Python expertise, production troubleshooting, enterprise integrations, deployment practices, and collaboration across technical and business teams. This is an on-site position in Hunt Valley, Maryland.

Leads and supports database design, development, administration, optimization, and maintenance. Develops database schemas, parser and loading software, queries, scripts, and macros while aligning structures with system architecture. Directs requirements fulfillment, data organization, storage and retrieval, and complex database systems using cloud methodologies. Requires extensive Oracle platform experience, Linux and Bash skills, a current poly clearance, and substantial database engineering experience.

Conduct research, analyze complex business data, develop reports, document processes, present findings, and recommend improvements for customer projects. The role gathers stakeholder and survey information, evaluates business processes, anticipates requirements, and supports new solutions. It requires strong analytical, documentation, communication, organizational, presentation, and troubleshooting skills, along with Microsoft Office and SharePoint proficiency.

Design, build, and optimize scalable AWS and Snowflake data pipelines, databases, data models, and cloud-based solutions. Implement ETL/ELT workflows, data quality and monitoring frameworks, CI/CD pipelines, automated recovery, documentation, and performance improvements. Collaborate with stakeholders and cross-functional teams in an Agile environment while conducting advanced analysis using Python and SQL.

Owns the design, development, optimization, and lifecycle management of Tableau dashboards, data products, and procurement reporting solutions. Analyzes spend, sourcing, supplier, contract, and accounts payable data; translates findings into recommendations; supports Tableau Server governance; and enables self-service analytics. Partners with procurement and cross-functional stakeholders, presents insights to senior leaders, and evaluates AI-enabled opportunities to improve business outcomes.

Oversee the organization, production, quality, and timely delivery of client reports, pitchbooks, due diligence materials, regulatory reports, reconciliations, and valuation statements. Maintain reporting systems, identify process improvements, ensure compliance and service standards, escalate risks, and develop expertise in investment products and offerings to support clients and internal stakeholders.

Leads data analytics and operational improvement across a college’s administrative functions. Develops dashboards and executive reporting, standardizes workflows, evaluates process inefficiencies, translates business requirements into technical specifications, and partners with development teams on workflow systems. Manages improvement projects, change management, training, documentation, stakeholder reporting, and continuous system refinement across areas including procurement, inventory, HR, budgeting, and facilities.