Rockville, MD

Data Jobs in Rockville, MD

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Today

BI & Analytics Analyst/Data Engineer

JSSA Rockville, MD

Rockville, MD

Today

Full time Analyst Analytics Azure Data Lake

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Job Description

JSSA seeks a Hybrid BI and Analytics Analyst/Data Engineer in Rockville, MD, to bridge data engineering with analytics across the organization. The role spans end-to-end analytics from SQL Server data warehouse design to empowering self-service Power BI reporting, working closely with IT partners and operational leaders to transform raw data into reliable, actionable insights.

Responsibilities

Collaborate with IT business partners and operational leaders to design analyses that uncover opportunities to improve care, evaluate adherence to clinical best practices, and measure outcomes.
Contribute to ensuring data repositories deliver consistent, reusable data by partnering with staff to develop, implement, and guide standards and best practices.
Promote best-practice knowledge to business stakeholders to enable self-service analytics rather than IT-owned development.
Own self-service reporting datasets, including DAX measures, data models, and row-level security.
Translate business requirements into clear analytical deliverables, manage stakeholder expectations, and iterate based on feedback.
Monitor report usage and data quality, proactively identifying and resolving issues.
Document data definitions, metric logic, and report lineage to support data literacy across the agency.
Utilize technical tools to query, manipulate, and summarize data from multiple sources.
Assist in designing, developing, maintaining, and updating databases to meet departmental and organizational needs.
Design and build star schema data warehouse objects in SQL Server, including fact and dimension tables and aggregate layers.
Write and maintain T-SQL stored procedures, ETL pipelines, and staging-to-warehouse data loads.
Develop and own source-to-target mapping documentation for new data domains.
Integrate data from source systems.
Contribute to data quality, pipeline reliability, and warehouse performance optimization.
Support the adoption of self-service analytics by building clean, well-documented datasets.
Document current data architecture, define logical and physical data, and establish an agency data blueprint.
Manage and support the data warehouse solution (Wherescape RED), SQL Server, and related technologies.
Define operational monitoring and alerting tools to ensure end-to-end delivery of trusted, quality data from source systems to consumption.
Establish best-practice standards and processes for data automation, orchestration, and transformation.
Identify, design, implement and manage a master data management solution for client and employee subjects, working with stakeholders to define data quality standards and operational DQ processes.

Requirements

Bachelor’s degree required; Master’s degree highly preferred.
5–7+ years of experience in a BI, analytics, or data engineering role.
Strong proficiency in SQL Server and T-SQL, including stored procedures, window functions, and query optimization.
Hands-on experience building and maintaining Power BI reports and semantic models (DAX, Power Query).
Hands-on experience with Wherescape OLAP solutions; familiarity with Azure Analysis Services, Azure Data Lake, and Azure Synapse Analytics as alternative OLAP options.
Experience integrating or working with EHR data (reports, APIs, or data exports).
Familiarity with star schema and dimensional modeling concepts (Kimball methodology a plus).
Python experience for data wrangling, automation, or pipeline scripting.
Experience with Microsoft Master Data Services (MDS), including defining entities and business rules.
Experience with Microsoft Data Quality Services (DQS) and SQL Server Integration Services (SSIS).
Comfort across the full analytics stack from raw source data to end-user reports.
Strong communication skills able to explain data concepts to non-technical stakeholders.
Advanced proficiency with Microsoft Office tools (Power BI) and SQL, plus experience with EMR systems (hospice, homecare, and/or mental health) is desirable.

Technologies

SQL Server
T-SQL
Power BI
DAX
Power Query
Wherescape RED
Azure Analysis Services
Azure Data Lake
Azure Synapse Analytics
Microsoft Master Data Services (MDS)
Microsoft Data Quality Services (DQS)
SQL Server Integration Services (SSIS)

Benefits

Competitive salary
Benefits package
Healthy work-life balance
Collaborative team environment
Opportunities for personal growth and professional development

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1d ago

Data Scientist II

Axle Rockville, MD

Rockville, MD

1d ago

$130k - $145k/yr Full time Python Analytics Anndata

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Job Description

Axle is seeking a Data Scientist II to support the National Cancer Institute (NCI) at the NIH in Rockville, MD, with a salary range of USD 130,000 to 145,000 per year.

Responsibilities

Design, implement, and maintain reproducible bioinformatics pipelines for diverse biomedical data types including genomic, transcriptomic, single-cell, spatial, proteomic, metagenomic, metabolomic, and clinical datasets; develop reusable transformation logic and curated datasets for analytics, dashboards, APIs, notebooks, and downstream research workflows.
Collaborate on multi-omics analyses for NCI CBIIT labs, covering bulk RNA-seq workflows (quality control, differential expression, gene set enrichment analysis), single-cell RNA-seq (clustering, UMAP/t-SNE visualization, cell type annotation, DEG), and Digital Spatial Profiling tasks (annotation, QC, normalization, spatial deconvolution, volcano plots, heatmaps).
Enable reliable data movement from source systems into analysis-ready formats; support ingestion, curation, metadata capture, source-to-target mapping, schema management, provenance tracking, and long-term maintainability of data products.
Apply statistical methods and machine learning techniques to biomedical data, including hypothesis testing, regression, clustering, dimensionality reduction (PCA, UMAP, t-SNE), and classification; incorporate AI or LLM-based extraction where appropriate with clear validation and stakeholder communication.
Develop and support researcher-facing applications and visualizations, including interactive dashboards (Shiny, Streamlit), notebooks, reports, and APIs to explore multi-omics and clinical data; assist with figure generation for QC, differential expression, pathway, and spatial analyses.
Collaborate with data scientists, bioinformaticians, researchers, developers, and government stakeholders to translate scientific needs into technical specifications, data models, and reusable workflows that accelerate biomedical research.

Requirements

Education and background: Bachelor's degree in Data Science, Bioinformatics, Computer Science, Biological Sciences, or a related field; advanced degree preferred, or equivalent experience. Demonstrated experience in data-intensive roles supporting biomedical research or scientific computing.
Data science and bioinformatics expertise: Proficiency in Python and R for analysis, scripting, and visualization; hands-on experience with at least two omics data types such as bulk RNA-seq, scRNA-seq, spatial transcriptomics, proteomics, metagenomics, or GWAS.
Analytical skills: Strong foundation in statistical modeling, dimensionality reduction, clustering, differential expression analysis, and pathway analysis; experience with structured, semi-structured, and unstructured data across relational and data lake environments.
Collaboration and communication: Excellent problem-solving abilities with the ability to communicate across technical and non-technical audiences; capable of translating scientific needs into technical solutions and clearly articulating risks, assumptions, and limitations.
Domain alignment: Genuine interest in biomedical and translational research; ability to quickly learn domain terminology and workflows, with awareness of data governance, privacy, and compliance requirements for clinical and research data.

Technologies

Python, R, Shiny, Streamlit, Snowflake, Databricks, Galaxy, Terra, Nextflow, WDL, Snakemake, Singularity, CWL, Scanpy, Squidpy, SCIMAP, AnnData, Jupyter, Posit Connect, AWS, EC2, S3, Lambda, SLURM, SGE, NIH Biowulf

Benefits

100% Medical, Dental & Vision Coverage for Employees
Paid Time Off and Paid Holidays
401K match up to 5%
Educational Benefits for Career Growth
Employee Referral Bonus
Flexible Spending Accounts: Healthcare, Parking Reimbursement Account, Dependent Care Assistant Program, Transportation Reimbursement Account

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5d ago

FY27: Data Analyst I

Montgomery County Public Schools Rockville, MD

Rockville, MD

5d ago

$34 - $50/hr Full time Analyst Analytics Budgeting & Forecasting

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Job Description

This onsite role supports Montgomery County Public Schools by conducting advanced financial and data analysis to inform budgeting, forecasting, and strategic planning across the district. The Finance Data Analyst collaborates with multiple departments to ensure accurate financial information and actionable insights for organizational decision‑making.

Location

Rockville, MD (onsite)

Compensation and Benefits

Wage range: $34.32 to $50.62 per hour, based on years of service. For benefits information, please view the benefits document at this link.

Responsibilities

Perform complex financial and data analysis to support budgeting, forecasting, and decision making across the organization.
Collect, interpret, and present financial data to identify trends, improve transparency, and enhance operational and strategic planning.
Serve as a key resource for ensuring the accuracy and integrity of financial information within multiple systems and for developing tools that strengthen fiscal management.
Collaborate with departments including the Department of Human Resources and Talent Management, Payroll, and other Finance areas to resolve discrepancies.

Qualifications

Associates degree preferred in Information Management Systems, Finance, Accounting, Business Administration, or related fields.
Three years of experience in data analysis, financial analysis, budgeting, or accounting, preferably in an educational or public sector setting.
CPA or CMA certification preferred but not required.
Strong analytical and quantitative reasoning skills with the ability to interpret and synthesize complex data sets.
Solid understanding of position management, salary budgeting, and full-time equivalent (FTE) control principles.
Knowledge of accounting, budgeting, auditing, and financial reporting practices.
Proficiency in data visualization and dashboard creation to clearly communicate position and financial data.
Excellent problem solving skills and attention to detail, with a commitment to data integrity.
Ability to collaborate effectively across Finance, HR, and Payroll functions.
Strong written and verbal communication skills; ability to present technical data concepts to non-technical stakeholders.
Ability to manage multiple priorities and meet tight deadlines during budget and staffing cycles.
Considerable knowledge of office procedures, practices, and equipment.
Knowledge of data synthesis techniques and technical applications that assist daily DMB operations.
Excellent oral and written communication and human relations skills essential to department objectives.
Knowledge of and ability to meet the seven core competencies of the Supporting Services Professional Growth System SSPGS.
Special requirements: ability to work outside of normal duty hours and manage multiple projects with tight deadlines.

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19d ago

Senior Data Engineer

IvoryCloud Rockville, MD

Rockville, MD

19d ago

$155k - $200k/yr Full time Senior Data Data Engineer

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Job Description

The Senior Data Engineer at IvoryCloud will design and optimize data pipelines and analytics platforms using Databricks, focusing on large-scale data engineering and analytics workloads for a Department of Energy client.

Responsibilities

Design, develop, and maintain scalable data pipelines using Azure Databricks and Apache Spark.
Build and optimize batch and streaming data processing solutions.
Develop robust ETL/ELT frameworks for structured and semi‑structured data from SQL, APIs, SaaS apps, and Data Live Lake Storage.
Implement transformation logic using PySpark, SQL, and Delta Lake within a Lakehouse / Medallion architecture.
Integrate and model data from SQL, SaaS systems, and cloud storage into unified, analytics‑ready and AI‑ready structures.
Partner with analytics, BI, and AI/ML teams to deliver trusted datasets, semantic layers, and AI‑ready data (features, vector‑ready patterns, embeddings).
Improve data quality, observability, lineage, governance, and security in alignment with Azure and enterprise standards.
Optimize data performance, storage costs, and processing efficiency in cloud environments.
Participate in architecture discussions and contribute to the evolution of the organization’s data platform and engineering best practices.

Requirements

U.S. Citizenship is required and non-negotiable
2 days a week in the Rockville, MD office are required and non-negotiable
Ability to pass multiple background and employment checks - federal and local
Bachelor’s degree Technology, Business, or Related Field

Technologies

Databricks
Apache Spark
PySpark
SQL
Delta Lake
Data Live Lake Storage
Python
dbt
Airflow
Azure Data Factory
Kafka
Snowflake
Git
CI/CD Pipelines
Azure
AWS
GCP
Unity Catalog
Delta Live Tables
Workflows
Lakeflow
SQL Warehouse
Mosaic AI
Synapse pipelines
Dagster
Azure OpenAI
Event Hubs
Kinesis
Redshift
Synapse

Benefits

401(k)
Health insurance
Paid time off
Vision insurance

What Success Looks Like

Deliver reliable, production-ready data pipelines supporting critical business use cases.
Improve data processing performance and scalability.
Establish reusable engineering patterns and best practices.
Enable analytics and AI teams with high-quality, trusted datasets.
Contribute to the modernization and growth of the organization’s data platform capabilities.

Technical Environment

Databricks
Apache Spark
PySpark
SQL
Delta Lake
Python
dbt
Airflow
Azure Data Factory
Kafka
Snowflake
Git
CI/CD Pipelines
Cloud Platforms (Azure, AWS, or GCP)

Education & Certifications

B.S. in Business/Technology-related field

Legal

IvoryCloud is an Equal Opportunity Employer (EEO)

Pay

Salary: USD 155,000 - 200,000 per year

Location

Rockville, MD (hybrid)

Experience

Databricks: 4 years (Required)

Application Questions

This role requires U.S. Citizenship. Do you meet this requirement?
Can you meet the hybrid requirement of 2 days a week in office in Rockville, Maryland?
Are you able to come into the office for in-person interviews?

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19d ago

Performance Management and Data Analyst II, Grade N25

Montgomery County (MD) Rockville, MD

Rockville, MD

19d ago

$84k - $134k/yr Full time Manager Analyst Analytics

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Job Description

Montgomery County invites you to join a collaborative, data‑driven team dedicated to aging and disability services. This onsite role in Rockville, Maryland combines performance management, data analysis, and program evaluation to support compliance and improve service delivery. The position offers a competitive salary range of USD 83,556 – 134,086 per year and the opportunity to influence programs through actionable insights and cross‑agency collaboration.

Responsibilities

Lead the Older American Act Performance System OAAPS and Area Plan processes to ensure compliance with the Older Americans Act.
Provide insights to identify trends, address disparities, guide resource allocation, and improve service delivery.
Support audits and grants, and equip staff with tools and training to maintain high reporting standards.
Provide Contract Monitoring oversight of county, federal, and state programs by reviewing performance, service delivery, data accuracy, and regulatory and contractual compliance.
Analyze client‑level and program‑level data by accessing and extracting information from county, state, and federal electronic databases and reporting platforms.
Coordinate cross‑program data collection, validation, reconciliation, and submission; serve as liaison with MDOA and federal partners.
Develop dashboards, reports, visualizations, and technical or narrative summaries for leadership, programs, and contracts.
Support data infrastructure, integration, automation, and quality initiatives in collaboration with IT and program teams.
Lead quality reviews and staff training on reporting tools, metrics, and compliance requirements.
Provide analytical support for grants, performance‑based contracts, and strategic initiatives.
Support the development and analysis of program surveys by assisting with survey design, question development, and data collection methods.
Analyze survey responses to identify key themes, trends, and areas for program improvement.
Develop and facilitate focus groups to gather qualitative feedback from clients, caregivers, staff, and community stakeholders; design protocols, recruit participants, coordinate logistics, capture themes, and synthesize findings into actionable recommendations supporting planning and service improvements.
Perform other job‑related responsibilities as assigned.
The candidate is expected to perform the majority of responsibilities independently and may need to work at locations outside the office.
Occasional evening and weekend hours may be required.

Requirements

Experience with the principles, practices, methods, and techniques of quantitative and qualitative analysis.
Experience with the technology, methods, and tools used in data gathering.
Experience with Health and Human Services in federal, state, or local government settings.
Experience presenting complex data to non‑technical audiences.

Technologies

OAAPS

Supplemental Information

Experience in the principles, practices, methods, and techniques of quantitative and qualitative analysis.
Experience in the technology, methods, and tools used in data gathering.
Experience with Health and Human Services in federal, state, or local government.
Experience presenting complex data to non‑technical audiences.

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Data Jobs in Rockville, MD

BI & Analytics Analyst/Data Engineer

Data Scientist II

FY27: Data Analyst I

Senior Data Engineer

Performance Management and Data Analyst II, Grade N25

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