Data analyst jobs in Baltimore, MD

VETS, Inc., is looking to add an experienced Data Analyst to our growing team. This is a permanent, full time position with full benefits working onsite at the Pentagon. This position requires an active/current DoD TS-SCI clearance. The successful candidate will: Generate and maintain information on intelligence workforce Work with other data analysts to visualize data derived for DOD and IC databases, showcasing baseline and trend analysis as well as comparative analysis of data. Conduct data analyses and predictive modeling of human capital program performance Conduct annual analysis of performance management results scores, by component, to determine ratings distributions by component, occupation, work-level, and GG grade and demographic group using EEOC reporting categories. Conduct annual analysis of performance-based payouts of base pay and bonuses REQUIRED SKILLS Four-year undergraduate degree from a nationally accredited university 2+ years experience in database and business intelligence reporting tools. 2+ years of subject matter expertise experience working with intelligence information systems or architecture supporting the combatant commands, services, or the Intelligence Community. 2+ years of experience data-mining in databases such as CMIS, DCPDS, ADVANA and other similar tool; visualizing analysis discovered from data-mining 1+ years experience with visualizing data in databases 1+ years experience with visualization tools such as Tableau, Qlik 1+ years experience with coding, programing and scripting languages in SQL, Java, python, R. 1+ years experience with Microsoft excel: pivot tables, graphs, charts and formulas. 1+ years experience in basic statistics with demonstrated experience in inferential statistics.

WFM Scheduling Lead- Dayforce Permanent $90,000-$130,000 + package Remote (US Based) A large, global organisation operating in a complex, 24/7, high-volume environment is embarking on a major workforce transformation programme. As part of this, we're recruiting a Senior WFM Scheduling Lead to take ownership of multi-site rostering and drive the development of a consistent, scalable scheduling model across multiple regions. You will work closely with operational leaders, planners and HR teams to understand local rules, working patterns, contract structures and skills requirements, then translate these into structured, system-ready scheduling logic. This role suits someone who thrives in demanding environments, enjoys solving complex rostering challenges and is confident influencing stakeholders at all levels. Key Responsibilities Lead the scheduling and rostering workstream across multiple UK and US sites, ensuring local rules and operational practices are accurately reflected in the WFM system. Analyse, map and standardise scheduling processes, working with planners and station managers to move towards a unified, scalable model. Shape and validate Dayforce scheduling configuration, testing and optimisation, supporting future adoption of more advanced functionality. Experience Required Strong hands on background in workforce management, rostering or scheduling within large, multi site, shift based environments. Dayforce WFM scheduling experience with the ability to translate complex operational rules into system logic. Confident stakeholder management style; comfortable influencing operational leaders and navigating demanding, change heavy environments. WFM Scheduling Lead- Dayforce Permanent $90,000-$130,000 + package Remote (US Based)

Data Scientist - Transit Data Focus_Columbia, MD (On-site / hybrid)_Contract (6 Months) Data Scientist - Transit Data Focus Employment type: Contract Duration: 6 Months Justification: To manage and analyze customer databases, AVA (automated voice announcement), and schedule data for predictive maintenance and service planning. Experience Level: 3-5 years Job Responsibilities: Collect, process, and analyze transit-related datasets including customer databases, AVA (automated voice announcement) logs, real-time vehicle data, and schedule data. Develop predictive models and data-driven insights to support maintenance forecasting, service planning, and operational optimization. Design and implement data pipelines to integrate, clean, and transform large, heterogeneous transit data sources. Perform statistical analysis and machine learning to identify patterns, trends, and anomalies relevant to transit service performance and reliability. Collaborate with transit planners, maintenance teams, and IT staff to translate data insights into actionable business strategies. Monitor data quality and integrity; implement data validation and cleansing processes. Technical Skills & Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Transportation Engineering, or a related quantitative field. 3-5 years of experience working as a data scientist or data analyst, preferably in a transit, transportation, or public sector environment. Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with SQL for database querying, manipulation, and data extraction. Familiarity with transit data standards such as GTFS, AVL/CAD, APC (Automated Passenger Counters), and AVA systems. Experience with data visualization tools such as Power BI, or equivalent.

Azure Data Modeler - Budget Transformation Project Our client is embarking on a major budget transformation initiative and is seeking an experienced Azure Data Modeler to support data architecture, modeling, and migration activities. This role will play a critical part in designing and optimizing data structures as the organization transitions to SAP. Experience with SAP is preferred, but strong ERP data experience in any platform is also valuable. Responsibilities Design, develop, and optimize data models within the Microsoft Azure environment. Support data architecture needs across the budget transformation program. Partner with cross-functional stakeholders to enable the transition to SAP (or other ERP systems). Participate in data migration planning, execution, and validation efforts. Work collaboratively within SAFe Agile teams and support sprint activities. Provide off-hours support as needed for critical tasks and migration windows. Engage onsite in Washington, DC up to three days per week. Required Qualifications Strong hands-on expertise in data architecture and data model design. Proven experience working with Microsoft Azure (core requirement). Ability to work flexibly, including occasional off-hours support. Ability to be onsite in Washington, DC as needed (up to 3 days/week). Preferred Qualifications Experience with SAP ECC or exposure to SAP implementations. Experience with other major ERP systems (Oracle, Workday, etc.). SAFe Agile certification. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Business Systems Analyst (12-Month Contract | Hybrid Owings Mills, MD) I'm working with a major financial services organization that's looking for a Business Systems Analyst with hands-on SS&C AWD/Chorus experience. This is a 12-month contract with strong extension potential, and the team urgently needs someone due to a recent departure. Here's what makes this a compelling opportunity: Why this role stands out: You'll join a highly tenured, high-performing team that is deeply embedded in the AWD/Chorus ecosystem. Work on high-impact initiatives tied to brokerage, Salesforce, and major upstream changes from groups like Goldman. SS&C handles all configuration changes, so you focus on true BA work-requirements, documentation, analysis, and validation. Variety in the work: operational improvements, workflow updates, communications/letter changes, QC adjustments, data alignment, and more. Yearly AWD upgrade project offers significant ownership, cross-team visibility, and PM-like leadership opportunities. The manager is pragmatic, supportive, and wants someone who can get deep into the business logic-not just gather surface-level requirements. What they're looking for: 1-2+ years of AWD/Chorus experience (non-negotiable). Strong requirements gathering, documentation, and workflow analysis skills. Ability to communicate with tenured business users and upstream tech teams. Testing and validation experience (no automation tools). Bonus (not required): Blue Prism or Operational Analytics/BI. Logistics: Hybrid onsite in Owings Mills (2 days/week). One-step interview with hiring manager + Product Owner. Team has been down ~8 weeks - fast-moving process, quick start. If you've worked with AWD/Chorus and you're looking for a role where your expertise actually matters-and where you can immediately add value-this is a great one to consider.

We are seeking an analytical and detail-oriented Business Analyst / Scrum Master to support a federal government client in advancing AI and automation initiatives. This position requires a strong ability to gather and translate requirements from diverse stakeholders ranging from technical teams to government leadership into actionable deliverables and technical solutions. The ideal candidate will have a strong background in business analysis, Agile project management, technical solution quality and delivery, and ensuring alignment between business needs and system capabilities. Key Responsibilities: Lead requirement gathering sessions with stakeholders to capture operational needs, AI and automation opportunities, and workflow improvement areas. Analyze current-state processes to identify inefficiencies, redundancies, or areas suitable for AI and automation. Recommend AI and automation strategies that reduce manual effort and improve consistency across government systems. Design and implement AI and automation workflows informed by operational requirements, business rules, and known system capabilities. Collaborate with senior developers, project managers, testers and client stakeholders to ensure requirements are fully understood and implemented. Assess post-implementation data and user feedback to recommend enhancements to business workflows. Lead Agile team activities including backlog refinement, sprint planning, and user story refinement. Maintain clear and organized documentation using tools like Confluence; manage task tracking through JIRA. Maintain clear and concise documentation for automations, provide regular and transparent updates on task progress. Required Qualifications: Bachelor's degree. 1-3 years of experience as a Business Analyst, Project Manager, or Product Owner, ideally within federal government or consulting environments. Exceptional attention to detail and ability to break down complex processes clearly and logically. Strong interpersonal and communication skills, with the ability to tailor messaging for both technical and non-technical audiences. Experience in a project-based technical delivery environment. Nice to Have: Experience with DHS or USCIS. Experience supporting Agile teams using tools such as JIRA and Confluence. Experience with UiPath, AWS, and generative AI solutions.

• Functions as the primary technical architect for data warehousing projects to solve business intelligence challenges • Possesses deep technical expertise in database design, ETL (OWB/ODI), reporting, and analytics • Previous consulting experience utilizing an agile delivery methodology Position Requirements • Solutions architect must have expertise as both a solutions architect and AI architect. • 3+ years experience with Azure ETL processing • 3+ years experience utilizing data warehousing methodologies and processes • Strong conceptual, analytical, and decision-making skills • Knowledge and Experience of dimensional modeling • Strong knowledge of Azure Databricks • Proficiency in creating PL/SQL packages • Full SDLC and Data Modeling experience • Ability to create both logical and physical data models • Ability to tune databases for maximum performance • Experience in Data Preparation: Data Profiling, Data Cleansing, and Data Auditing • Ability to work with Business Analysts to create functional specifications and data • Manages QA functions • Develops unit, system, and integration test plans and manages execution • Ability to write technical and end-user system documentation • Excellent written and oral communication skills • Experience transforming logical business requirements into appropriate schemas and models • Ability to analyze and evaluate moderate to highly complex information systems by being able to interpret such devices as Entity Relation Diagrams, data dictionaries, record layouts, and logic flow diagrams

Candidates local to McLean, VA only needed. Skills: UiPath Document Understanding We are seeking a detail-oriented UiPath Business Analyst to join our Automation team. The ideal candidate will be responsible for identifying business process automation opportunities, gathering requirements, and collaborating with stakeholders and RPA developers to design and implement solutions using UiPath. This role acts as a bridge between business units and the technical team, ensuring successful delivery of RPA initiatives that drive operational efficiency. Key Responsibilities: Analyze existing business processes to identify automation opportunities. Work with stakeholders to gather, validate, and document business and functional requirements. Perform process assessments using UiPath's tools and frameworks (e.g., Process Mining, Task Capture). Translate business needs into clear and concise process definitions and solution designs. Collaborate with RPA Developers to design and implement automation solutions using UiPath. Conduct feasibility analysis and ROI estimations for automation candidates. Participate in solution testing, UAT (User Acceptance Testing), and post-deployment reviews. Support change management and user training related to RPA implementations. Monitor RPA performance and provide suggestions for improvements. Maintain detailed documentation of business processes, workflows, and RPA solutions. Qualifications: Bachelor's degree in Business, Information Technology, Computer Science, or a related field. 3+ years of experience as a Business Analyst, with at least 1-2 years in RPA or process automation. Strong knowledge of UiPath tools and frameworks (e.g., Studio, Orchestrator, Insights). Experience with process discovery and assessment methodologies.

Role: RPA Business Analyst (UiPath RPA) Type: HYBRID- 2 days onsite Willing to relocate is OK. UiPath Certification is a big plus. We are seeking a highly experienced RPA Business Process Analyst with deep expertise in UiPath and Document Understanding Your insights will help drive operational efficiency and scale automation adoption across the organization. Key Responsibilities Lead end-to-end process discovery, mapping, and analysis efforts using Document Understanding, Task Mining or equivalent tools to uncover automation opportunities. Collaborate with business stakeholders (process owners, subject matter experts) to understand current-state workflows, pain points, KPIs, and desired outcomes. Elicit, document, and validate functional and non-functional requirements in clear artifacts (e.g. process maps, user stories, use cases, business requirement documents, PDDs). Perform complexity assessment, ROI analysis, and feasibility studies for automation candidates. Support pilot implementations, user acceptance testing (UAT), go-live, and post-deployment stabilization. Act as a liaison between business, IT, and RPA teams to manage change, risks, and stakeholder communication. Required Qualifications & Skills 5+ years of experience in business process analysis, process improvement, or operations roles with exposure to automation programs. At least 2-3 years of hands-on experience with Document Understanding, UiPath Task mining / Task Capture, especially in leveraging AI in Process documentation Proven track record of leading discovery workshops, mapping complex processes, and identifying scalable automation opportunities. Solid understanding of business process modeling techniques. Excellent communication and stakeholder management skills - able to bridge between technical teams and business users. UiPath Certification is big plus.

Job Title: Developer Premium I Duration: 7 Months with long term extension Hybrid Onsite: 4 days per week from Day 1, with a full transition to 100% onsite anticipated soon Job Requirement: Strong expertise in Data Architecture & Date model design. MS Azure (core experiment) Experience with SAP ECC preferred SAFE agile certification is a plus Ability to work flexibility including off hours to support critical IT task & migration activities. Educational Qualifications and Experience: Bachelor's degree in Computer Science, Information Systems or in a related area of expertise. Required number of years of proven experience in the specific technology/toolset as per Experience Matrix below for each Level. Essential Job Functions: Take functional specs and produce high quality technical specs Take technical specs and produce completed and well tested programs which meet user satisfaction and acceptance, and precisely reflect the requirements - business logic, performance, and usability requirements Conduct/attend requirements definition meetings with end-users and document system/business requirements Conduct Peer Review on Code and Test Cases, prepared by other team members, to assess quality and compliance with coding standards As required for the role, perform end-user demos of proposed solution and finished product, provide end user training and provide support for user acceptance testing As required for the role, troubleshoot production support issues and find appropriate solutions within defined SLA to ensure minimal disruption to business operations Ensure that Bank policies, procedures, and standards are factored into project design and development As required for the role, install new release, and participate in upgrade activities As required for the role, perform integration between systems that are on prem and also on the cloud and third-party vendors As required for the role, collaborate with different teams within the organization for infrastructure, integration, database administration support Adhere to project schedules and report progress regularly Prepare weekly status reports and participate in status meetings and highlight issues and constraints that would impact timely delivery of work program items Find the appropriate tools to implement the project Maintain knowledge of current industry standards and practices As needed, interact and collaborate with Enterprise Architects (EA), Office of Information Security (OIS) to obtain approvals and accreditations “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”

Title: Senior Data Analyst 6+ Months Contract with potential for extension Prioritizing local candidates Required Skills: 8+ years of experience in Business and Data Analysis Proficiency in SQL Experience working in Agile teams, including creating business and technical user stories in Jira Mortgage domain experience (required) Familiarity with command-line operations, including executing Python scripts and navigating log directories to analyze logs Strong analytical skills with the ability to interpret disparate data sources, distill complex information, and generate actionable insights Ability to translate non-technical business requirements into technical rules or methodologies Ability to quickly learn business operations and processes Strong communication skills, capable of articulating complex concepts to diverse audiences Flexibility and adaptability to adjust plans based on evolving business needs Responsibilities Contribute to the buildout of strategic, scalable data platforms in partnership with business and technology stakeholders Partner with client analytics teams to understand business-specific data sources, elements, and relationships Translate high-level business requirements into complete, end-to-end analytical solutions Identify opportunities for advanced analytics and reporting across business-aligned testing teams Collaborate with clients to expand capabilities in machine learning, natural language processing, and automation Conduct exploratory data analysis to develop a strong understanding of targeted business areas Work closely with peers, colleagues, and managers to resolve issues and drive project goals

Purpose: As a Cloud Data Architect, you'll be at the forefront of innovation - guiding clients and teams through the design and implementation of cutting-edge solutions using Databricks, modern data platforms, and cloud-native technologies. In this role, you won't just architect solutions -you'll help grow a thriving Analytics & Data Management practice, act as a trusted Databricks SME, and bring a business-first mindset to every challenge. You'll have the opportunity to lead delivery efforts, build transformative data solutions, and cultivate strategic relationships with Fortune-500 organizations. Key Result Areas and Activities: Architect and deliver scalable, cloud-native data solutions across various industries. Lead data strategy workshops and AI/ML readiness assessments. Develop solution blueprints leveraging Databricks (Lakehouse, Delta Lake, MLflow, Unity Catalog). Conduct architecture reviews and build proof-of-concept (PoC) prototypes on platforms like Databricks, AWS, Azure, and Snowflake. Engage with stakeholders to define and align future-state data strategies with business outcomes. Mentor and lead data engineering and architecture teams. Drive innovation and thought leadership across client engagements and internal practice areas. Promote FinOps practices, ensuring cost optimization within multi-cloud deployments. Support client relationship management and engagement expansion through consulting excellence. Roles & Responsibilities Essential Skills: 10+ years of experience designing and delivering scalable data architecture and solutions. 5+ years in consulting, with demonstrated client-facing leadership. Expertise in Databricks ecosystem including Delta Lake, Lakehouse, Unity Catalog, and MLflow. Strong hands-on knowledge of cloud platforms (Azure, AWS, Databricks, and Snowflake). Proficiency in Spark and Python for data engineering and processing tasks. Solid grasp of enterprise data architecture frameworks such as TOGAF and DAMA. Demonstrated ability to lead and mentor teams, manage multiple projects, and drive delivery excellence. Excellent communication skills with proven ability to consult and influence executive stakeholders. Desirable Skills Recognized thought leadership in emerging data and AI technologies. Experience with FinOps in multi-cloud environments, particularly with Databricks and AWS cost optimization. Familiarity with data governance and data quality best practices at the enterprise level. Knowledge of DevOps and MLOps pipelines in cloud environments. Qualifications: Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related fields. Professional certifications in Databricks, AWS, Azure, or Snowflake preferred. TOGAF, DAMA, or other architecture framework certifications are a plus. Qualities: Self-motivated and focused on delivering outcomes for a fast growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work with teams and clients in different time zones Research focused mindset "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."

Hybrid Role Job Title: Data Intelligence - Engineer, Data Sr Project Type: Contract Duration of the project: 12 Months We are looking for candidates with 5+ years' experience in Ab Initio Administration. (Internal Notes: Please do not send Developers) Must have 2+ years' experience with AWS. Working with Ab Initio in AWS Cloud. Must have solid experience building, installing and configuring Ab Initio. Must have AWS EKS containerization. Will be involved moving Linux instances to AWS EKS. Ab Initio Lead Infrastructure This position is an Ab Initio Administrator and not a developer position. The Senior Ab Initio ETL Administrator is responsible for the tasks involved in administration of ETL tool (Ab-Initio) as well as migrating Ab Initio infrastructure to the Cloud. The candidate will support the implementation of a Data Integration/Data Warehouse for the Data products on-prem and in AWS Cloud like EKS containerization for Ab Initio. 6 - 8 Years' Experience At least 6 years of Experienced with all the tasks involved in administration of ETL Tool (Ab Initio) Experienced with managing the project of migration or infrastructure build without supervisor At least 6 years of Experienced with Advance knowledge of Ab Initio Graphical Development Environment (GDE), Meta Data Hub, Operational Console Experience with Ab Initio, AWS EKS, S3, Dynamo DB, Mongo DB, ProgreSQL, RDS, DB2 Created Big Data pipelines (ETL) from on-premises to Data Factories, Data Lakes, and Cloud Storage such as EBS or S3. DevOps (CI/CD Pipeline) prefers Jenkins experience Experience with Advance knowledge of UNIX and SQL Experience with manage metadata hub-MDH, Operational Console and troubleshoot environmental issues which affect these components Experience with scripting and automation such as design and develop automated ETL process and architecture and unit testing of the ETL code Experience with working on the break fix and continuous development items, review, and inspection for the production changes Perform the code review for the ETL code developed by the development team and guide to resolve an issue. Service Oriented Architecture (SOA) knowledge and Demonstrated knowledge and best practices of testing environments and processes Demonstrated experience working in an Enterprise environment with crossed team interaction and collaboration and policies Strong testing skills Excellent problem-solving skills Strong analytical skills Excellent verbal and written communications skills Familiar with structured programming techniques Must be able to perform assigned tasks with minimum supervision Strong documentation skills Experience working in an Agile environment is a plus Software: Applies and implements best practices for data auditing, scalability, reliability, and application performance. AWS certification is a plus Extensive UNIX AIX or Linux and Scripting experience Extensive SDLC experience with some development or Systems programming experience Ability to analyze and trouble-shoot Mid-tier/infrastructure issues. Very strong verbal and written communication skills (Critical) Ability to facilitate technical requirements gathering and design sessions Collaborate and interpret business and technical needs Excellent attention to detail and quality work products (Critical) Strong customer service skills with internal and external customers (Critical) Must be able to perform assigned tasks with minimum supervision (Critical) Strong analytical and documentation skills Excellent time management ability. (Critical) Skills Preferred Experience with DEVOPS or IAAS AIX or Linux LDAP EIAM (Identity Access Management) Ab Initio Admin and Architect

The HR Systems Analyst plays a key role in supporting and enhancing the organization's suite of human resources applications. This individual will partner with HR and IT stakeholders to evaluate, optimize, and implement technology solutions that align with business goals. The role involves a balance of day-to-day system management, troubleshooting, and participation in larger projects aimed at improving HR operations and data integrity. Responsibilities Provide ongoing technical and functional support for HR platforms, addressing issues, managing integrations, and ensuring data accuracy. Take ownership of or assist with system-related projects, enhancements, and new technology rollouts. Act as a liaison between internal teams, vendors, and third-party providers to resolve technical challenges. Collaborate with software partners to handle integrations, testing, and system error corrections. Recommend workflow and process enhancements that increase efficiency and user experience. Support annual HR cycles such as performance reviews, merit increases, and compensation adjustments through data validation and system updates. Manage authentication and integration elements, including single sign-on (SSO) configurations. Test and deploy new releases, patches, and upgrades for HR software. Create and maintain custom reports and dashboards using Power BI, SQL, or similar tools. Conduct routine audits to confirm data accuracy for employee transactions, benefits, and payroll changes. Monitor shared HR technology inboxes, responding to data or reporting requests in a timely manner. Maintain proper documentation of system changes, permissions, and process updates. Oversee HR intranet content and provide day-to-day operational support. Develop training materials and conduct user training sessions on HR technology and data best practices. Qualifications Strong customer service orientation with a focus on professionalism and confidentiality. Proven ability to manage multiple priorities and meet deadlines in a fast-paced environment. Excellent analytical thinking and problem-solving skills. Capable of translating technical topics into clear, user-friendly language. Demonstrated teamwork skills and the ability to lead small-scale initiatives. Advanced Excel expertise is required. Experience with HRIS/HCM systems such as UKG, Workday, Ceridian, or equivalent. Working knowledge of tools such as Power BI, Cognos, or ViGlobal is advantageous. High attention to detail and accuracy in auditing data. Strong written and verbal communication skills. Education and Experience Bachelor's degree or equivalent combination of education and experience required. At least three years of direct experience working with HR systems or HR technology functions. The Phoenix Group Advisors is an equal opportunity employer. We are committed to creating a diverse and inclusive workplace and prohibit discrimination and harassment of any kind based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We strive to attract talented individuals from all backgrounds and provide equal employment opportunities to all employees and applicants for employment.

Immediate need for a talented Data Engineer / Big data Engineer. This is a 12 months contract opportunity with long-term potential and is located in Mclean, VA(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-93504 Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design, develop, and maintain data pipelines leveraging Python, Spark/PySpark, and cloud-native services. Build and optimize data workflows, ETL processes, and transformations for large-scale structured and semi-structured datasets. Write advanced and efficient SQL queries against Snowflake, including joins, window functions, and performance tuning. Develop backend and automation tools using Golang and/or Python as needed. Implement scalable, secure, and high-quality data solutions across AWS services such as S3, Lambda, Glue, Step Functions, EMR, and CloudWatch. Troubleshoot complex production data issues, including pipeline failures, data quality gaps, and cloud environment challenges. Perform root-cause analysis and implement automation to prevent recurring issues. Collaborate with data scientists, analysts, platform engineers, and product teams to enable reliable, high-quality data access. Ensure compliance with enterprise governance, data quality, and cloud security standards. Participate in Agile ceremonies, code reviews, and DevOps practices to ensure high engineering quality. Key Requirements and Technology Experience: Proficiency in Python with experience building scalable data pipelines or ETL processes. Strong hands-on experience with Spark/PySpark for distributed data processing. Experience writing complex SQL queries (Snowflake preferred), including optimization and performance tuning. Working knowledge of AWS cloud services used in data engineering (S3, Glue, Lambda, EMR, Step Functions, CloudWatch, IAM). Experience with Golang for scripting, backend services, or performance-critical processes. Strong debugging, troubleshooting, and analytical skills across cloud and data ecosystems. Familiarity with CI/CD workflows, Git, and automated testing. Our client is a leading Banking and Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.

Arcland Property Company is the largest privately held owner, manager and developer of self storage in the Mid-Atlantic Region and rapidly growing regionally and nationally under the Self Storage Plus brand. We are seeking a candidate to join our team as an Acquisitions and Development Analyst. Position Summary: The ideal candidate must be a highly motivated self-starter who is intellectually curious, enjoys working in a fast-paced environment, and adapts easily to change. The Acquisitions and Development Analyst will be involved in all stages of the investment and development cycle. Essential Duties and Responsibilities Support the Acquisitions Team in underwriting and evaluating potential Class-A self storage development sites and existing assets nationally Prepare and maintain advanced financial models to support investment decisions, including detailed capital stack structuring and equity waterfall analyses Support the capital markets team to raise debt and equity for new investments Assist in preparing investment committee materials and presentation decks Maintain pipeline database Perform asset level due diligence and assist in deal execution Engage in outreach with storage owners, developers, and brokers within the commercial real estate industry Perform ad-hoc analyses critical to investment decision-making and market strategy Qualifications and Skills 1-2 years of experience in commercial real estate, finance, consulting, or a related field Strong analytical background with an interest in real estate investment and development Proficiency in Microsoft Office & Excel; familiarity with real estate financial modeling a plus Highly organized, detail-oriented, and adaptable Opportunistic, entrepreneurial spirit, “go-getter” Strong written and verbal communication skills Comfortable working both independently and as part of a small, collaborative team Bachelor's degree in real estate, finance, business, economics, or related field preferred In-office work required Compensation and Benefits Arcland offers a competitive salary based on experience and qualifications, as well as an excellent benefits package including: Employer-paid medical, dental, vision, disability, and life insurance 401(k) savings plan with employer match Flexible spending accounts Paid time off Professional development and mentorship opportunities If you're an ambitious and analytical individual looking to grow your career in commercial real estate, and you're excited to be part of a rapidly growing company and entrepreneurial environment, please reach out.

Job Title: Senior Data Engineer Only USC/GC is considered Contract The Senior Data Engineer will join a newly established Data Services team within a mission-driven nonprofit organization that delivers critical services to government customers. As the organization expands its use of data to drive decision-making across multiple business units, the Data Services team is building a modern data lakehouse platform to provide clean, timely, and accurate data. This role will play a foundational part in designing and operationalizing enterprise data pipelines and infrastructure that empower stakeholders with reliable insights. Summary The Senior Data Engineer supports the development and maintenance of a system-wide analytics platform that enables secure, scalable access to enterprise data. This role owns end-to-end engineering efforts across ingestion, transformation, orchestration, and delivery using Azure and Microsoft Fabric technologies. The engineer will develop and optimize ETL / data pipelines, implement medallion architecture patterns, and ensure enterprise data assets are structured, integrated, and governed to meet the needs of diverse business units and external parties. Key Responsibilities Data Pipeline Design & Development • Design, develop, and implement end-to-end data ingestion and processing pipelines using Azure and Microsoft Fabric tools. • Transform raw bronze data into silver (cleaned) and gold (curated, analytics-ready) layers following the Medallion architecture. • Develop code and tooling to process and transform data into enterprise data models. • Implement existing ETL frameworks, patterns, and standards used across the enterprise. Orchestration, Automation & Operations • Schedule, orchestrate, and monitor automated and semi-automated data pipelines to ensure reliability and quality. • Build automated workflows supporting ingestion and transformation observability. • Ensure technical correctness, timeliness, and high-quality delivery of data services. Data Modeling, Integration & Governance • Serve as a subject matter expert on enterprise data sources, structures, and definitions. • Build and maintain data relationships, mappings, and linkages within the Enterprise Data Warehouse (EDW). • Perform integration of data assets to support analytics and operational needs across multiple mission-driven departments. • Create and manage large-scale data warehouses and lakehouse components to ensure efficient data access and retrieval. Collaboration & Communication • Partner with analysts, business units, and data consumers to support exploration and decision-making. • Communicate clearly and effectively with technical and non-technical stakeholders, including senior leadership and customers. • Champion continuous improvement, accountability, and evidence-based decision-making within the Data Services team. Qualifications • Minimum five years of experience working with cloud data platforms such as Azure, Snowflake, AWS Redshift, or Databricks. • Minimum six years of experience in SQL-based data processing. • Minimum five years of application development experience using Python. • At least two years of experience developing ETL pipelines within Microsoft Fabric. • Strong working knowledge of data warehousing and data lake concepts, including medallion or similar architectural patterns. • Demonstrated ability to deliver high-quality work on schedule and uphold team accountability standards. • Proven track record of clear and continuous communication across technical and business audiences. • Commitment to process improvement and leveraging information to enhance organizational performance. Technical Skills • Python: Intermediate to advanced proficiency for data processing, automation, and pipeline development. • SQL: Intermediate to advanced proficiency for transformations, modeling, and performance optimization. • Experience with Azure Data Factory, Microsoft Fabric Data Engineering, Delta Lake, or similar technologies. • Familiarity with orchestration frameworks, metadata management, and modern ETL/ELT patterns.

RETS Associates on behalf of our client, a national leader in transformational land development projects, is recruiting a Financial Analyst - Development in their Germantown, MD office. This position will provide support to a lean and dynamic Development team, and responsible for maintaining and developing the development proforma, analyzing market trends, forecasting and reporting, and supporting the overall strategic planning of data center projects. The Financial Analyst will have 1-4 years of real estate financial analysis experience and a desire for a career path in Development. The ideal candidate will possess a strong analytical mindset, excellent communication skills, and the ability to work collaboratively in a fast-paced environment. Key Responsibilities: Maintain and develop pro-forma models to support the Development team. Assist in budgeting, forecasting, and financial planning activities. Coordinate with internal and external stakeholders including municipalities, regulatory agencies, and consultant teams to support the project management team. Collect, analyze, and interpret data related to project performance, costs, and timelines. Contribute to the development of long-term strategies for data center expansion and optimization. Maintain accurate documentation and records related to project activities. Qualifications: Bachelor's degree in Finance, Business, Economics, Real Estate, or similar. 2-5 years of experience in real estate financial analysis including in depth financial modeling, data analysis, forecasting, and market research. Strong analytical skills with proficiency in financial modeling, data analysis, and market research. Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely. Commitment to high standards of excellence and integrity. Strong attention to detail and excellent organizational skills. Passion for commercial real estate and desire to grow with an exceptional team.

Jadian Industrial Outdoor Storage (“JIOS”) is seeking an Originations Analyst. The analyst will be responsible for helping JIOS scale its acquisitions pipeline by proactively sourcing new opportunities to acquire industrial real estate. The analyst will engage in direct outreach (cold calling and email) with owners of target properties, and develop and maintain relationships with prospective sellers. JIOS is a vertically integrated real estate company that acquires and manages industrial outdoor storage across the United States with dedicated discretionary capital and the goal of long-term ownership. The company currently controls a portfolio of approximately 130 properties across 25+ markets and continues to expand rapidly, targeting the acquisition of 50+ new assets per year. This role is an independent contractor position. Analyst will be compensated with both a monthly base and performance incentives for signed and closed deals. The role will preferably be based in our office in Bethesda, MD with a near-term start, but could be remote for the right candidate. Primary Duties and Responsibilities: Proactively contact (through cold calling and email) owners of target properties to source potential new deals for JIOS, based on a nationwide lead list developed by JIOS Research and gather information about potential leads to tailor outreach Build and maintain relationships with property owners over time Maintain customer relationship management systems, accurately tracking contacts with property owners Coordinate initial stages of transactions, liaising between deal leads and property owners Qualifications: 1-2 years of experience in sales, real estate brokerage, acquisitions, and/or asset management Ethical and honest with high integrity Ambitious self-starter comfortable in fast-paced, entrepreneurial work environment Personable with strong communication skills and a confident and engaging phone presence Excited and enthusiastic about outbound cold calling Ability to handle objections and rejection with resilience and professionalism Proficiency with Microsoft Office products Experience with CRM systems like Hubspot a plus High attention to detail and high level of personal accountability Ability to manage and prioritize multiple ongoing projects and tasks Bachelor's degree