Top Data & Analytics Jobs in Baltimore, MD

Design, build, deploy, and support production data pipelines and enterprise data solutions in Databricks and GCP. Develop data models and layered architectures, ensure data quality, security, and governance, integrate multiple sources, and support analytics, AI/ML, reporting, and operational decision-making while collaborating with technical teams and federal stakeholders.

Plans and implements data management processes for defense programs. Reviews contracts to determine documentation requirements, schedules and tracks contractual data deliverables, coordinates customer requirements, performs quality reviews, reports data status, manages electronic and physical deliveries, archives work products, and flows requirements to subcontractors through SDRLs. The role requires active Secret clearance, SAP eligibility, U.S. citizenship, strong communication and leadership skills, and experience with CDRL processes.

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.

Develop and implement Databricks and AWS data-driven solutions supporting IRS tax-system modernization. Responsibilities include analyzing complex data, prototyping solutions, testing applications, conducting code reviews, debugging and improving software, responding to defects, and potentially leading engineering teams. The role requires collaboration in an Agile environment and communication with technical and client stakeholders.

Profiles and analyzes data sources, documents end-to-end lineage, maps source data to canonical models, and supports API schema design. Develops data quality, validation, metadata, and governance documentation while collaborating with engineers, architects, clients, and stakeholders to define clear technical requirements for enterprise data products, APIs, and analytics.

The Database Engineer will design and maintain database systems, optimize queries, support data integrity, and implement backup strategies in a mission-critical environment.

Leads database engineering for a secure enterprise initiative, designing database architectures, queries, storage and retrieval systems, parsers, loading software, workflows, and REST-based microservices. The role directs requirements from project inception through completion and supports cloud-based development, process automation, continuous monitoring, and system updates. Requires Python, MongoDB or MariaDB, Django or Flask, microservices experience, a technical bachelor’s degree or equivalent experience, and TS/SCI with Polygraph clearance.

Build and maintain databases, data warehouses, and ETL/ELT pipelines for client data solutions. Consult with clients to translate technical needs into data architectures, ensure data quality and governance, optimize system performance, and support secure, compliant data integration. Collaborate with data integration engineers, business analysts, software engineers, and technical and non-technical stakeholders in a client-facing role.

Develops and supports Oracle database solutions, including complex SQL and PL/SQL objects, performance tuning, security, data governance, quality management, and migration initiatives. Performs ETL/ELT, data validation, reconciliation, conversion, and post-migration verification while maintaining metadata, lineage, documentation, and data dictionaries. Collaborates with data owners, developers, DBAs, business users, and project managers. Requires five or more years of Oracle development experience and an active TS/SCI clearance with polygraph.

Develop and maintain high-performance cloud-based analytics solutions processing large data volumes. The role requires expertise in data analytics, big data, distributed computing, and technologies such as Spark, MapReduce, SQL/NoSQL, and scientific Python libraries. The engineer will support mission-critical software and systems for a U.S. Government customer, working independently and collaboratively while contributing to a technical, security-focused engineering environment.