Top Entry Level Data & Analytics Jobs in Baltimore, MD

Build and manage data pipelines, databases, ETL/ELT processes, analytics environments, and interactive Tableau dashboards. Develop SQL-based data models, apply Python or R for analysis and automation, and support JavaScript web assets, WordPress or headless CMS platforms, hosting environments, CRM integrations, and cross-platform engagement tracking. Ensure data governance and FERPA compliance while collaborating with marketing, communications, vendors, and university stakeholders.

Data Engineer supporting a United States Air Force program. Responsibilities include designing ETL pipelines, data warehouses and lakes, APIs, data quality controls, metadata and lineage practices, analytical datasets, security controls, automated deployments, monitoring, troubleshooting, and technical documentation. The role collaborates with government stakeholders, mission partners, technical teams, and data scientists while maintaining compliance with approved architectures, governance standards, and security boundaries.

Own operational processes in Addepar, onboard complex client relationships, build alternative transaction histories, create alternative assets, and produce recurring and ad hoc portfolio reports. Analyze investment data, troubleshoot reporting issues, improve processes, document data governance, manage reporting projects, and develop industry insights. The role requires expertise with Addepar, Canoe, Excel, and alternative investment products.

Leads program-wide reporting strategy, governance, executive performance reporting, dashboard development, and reporting automation. Integrates cost, schedule, cash flow, earned value, risk, change, and forecast data into accurate, decision-ready reports. Coordinates with Program Controls, Finance, and leadership, ensures data quality and audit traceability, and supports federal, public-sector, and infrastructure reporting requirements.

A one-year data engineering development program involving training, mentoring, and hands-on work designing, developing, testing, and delivering data assets and applications. Participants refine features, plan user stories, build data pipelines, apply SQL and data fundamentals, use AI and analytical tools, and collaborate with business and engineering teams. Occasional travel for business meetings and events is expected.

The Business Analyst will support various projects by analyzing processes, capturing requirements, assisting with research efforts, and creating documents, while adhering to project schedules.

Collect and transmit data from retail stores using a scanning device, counting inventories, scanning UPC codes, and collecting promotional information.

Define and improve data quality processes, analyze data issues, collaborate with stakeholders to document requirements, monitor data quality metrics, and support remediation efforts to ensure accurate, reliable data.

Design, implement, and administer operational data flows: ingest, clean, enrich, transform, secure, and move mission-critical data. Perform exploratory data analysis, troubleshooting, and collaborate with customers to ensure compliant, reliable data pipelines.

Design, build, and maintain scalable big data pipelines, architectures, distributed databases, and storage systems. Use Python and frameworks such as Hadoop, Spark, or Flink for data integration, transformation, and processing. Ensure system performance, availability, security, governance, and data quality while collaborating with cross-functional teams and documenting technical solutions.