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Business Intelligence Developer Jobs in Frederick, MD

Technogen

QA Engineer

Rockville, MD · On-site

Experience with Business Intelligence systems including Microstrategy and ETL such as Informatica ... Experience with Salesforce reports A Bachelor's degree in Computer Science, Computer Engineering ...

Technogen

QA Engineer

Rockville, MD · On-site

... with Business Intelligence systems including Microstrategy and ETL such as Informatica. • ... Engineering, or Management Information Systems is required. • Experience with complete Software ...

Trewon Technologies LLC

JR IT Associate

Leesburg, VA · On-site

$65K - $90K/yr

Business Intelligence, Business Objects, Oracle 11g DB, Windows Server 2012, Control-M, Windows scripting, Citrix (NetScaler, XenApp, XenDesktop), Crystal Reports, AWS Cloud, Cloud Computing DevOps, ...

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All JobsBusiness Intelligence Developer JobsBusiness Intelligence Developer Jobs in Frederick, MD

Business Intelligence Developer information

See Frederick, MD salary details

$18

$53

$77

How much do business intelligence developer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for business intelligence developer in Frederick, MD is $53.48, according to ZipRecruiter salary data. Most workers in this role earn between $43.75 and $61.20 per hour, depending on experience, location, and employer.

What is a business intelligence developer?

Business Intelligence Developers are IT professionals who design, develop, and maintain BI solutions that help organizations make data-driven decisions. They create and manage data models, dashboards, and reports using BI tools, and often work with databases to extract, transform, and load data. Their work enables businesses to analyze trends, monitor performance, and gain actionable insights from large volumes of data. BI Developers collaborate closely with business stakeholders and data analysts to ensure the solutions meet organizational needs.

What are the key skills and qualifications needed to thrive as a business intelligence developer?

To thrive as a Business Intelligence Developer, you need strong analytical skills, proficiency in data modeling, and experience with databases, often supported by a degree in computer science, information systems, or a related field. Expertise in BI tools such as Power BI, Tableau, or SQL Server Reporting Services (SSRS), along with knowledge of SQL and ETL processes, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are crucial for transforming complex data into actionable insights that drive strategic business decisions.

What are some common challenges faced by business intelligence developers when working with large datasets, and how can they be addressed?

Business Intelligence Developers often encounter difficulties when handling large and complex datasets, such as slow query performance, data integration issues, and ensuring data accuracy. To address these challenges, developers typically optimize SQL queries, leverage indexing, and use efficient data modeling techniques. Collaborating closely with data engineers and database administrators can help streamline data pipelines and maintain data quality. Staying updated with the latest BI tools and technologies is also essential for improving overall performance and scalability.

What is the difference between Business Intelligence Developer vs Data Analyst?

AspectBusiness Intelligence DeveloperData Analyst
CredentialsBachelor's in CS, IT, or related field; certifications like Microsoft Certified: Data Analyst AssociateBachelor's in Statistics, Math, or related field; certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentDevelops BI tools, dashboards, and reports; collaborates with IT and business teamsAnalyzes data sets, creates reports, and provides insights; works closely with business units
Industry UsageUsed across industries for data visualization and reportingUsed across industries for data analysis and decision support

While both roles focus on data, Business Intelligence Developers primarily build and maintain BI tools and dashboards, whereas Data Analysts focus on analyzing data sets to generate insights. Both roles often collaborate and require similar skills and certifications, making them closely related in the data industry.

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Business Intelligence Developer jobs near you
Infographic showing various Business Intelligence Developer job openings in Frederick, MD as of August 2026, with employment types broken down into 79% Full Time, 19% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $111,241 per year, or $53.5 per hour.

Cybersecurity Solutions Architect/Engineer

COMPTACTICS LLC

Clarksburg, MD • Remote

$140K - $160K/yr

Full-time

Posted 6 days ago

Job description

The Fraud Analytics and Mitigation team needs 2 resources as stated below.
 
Portfolio: Cybersecurity Engineering
Job Location: Morrisville, NC; Falls Church, VA; Eagan, MN; Remote
Requested start date: ASAP after gaining positive adjudication of required background clearance
 
Title: Cybersecurity Solutions Architect/Engineer
Number of Resources: 2
PCTS Project # and Name: 138169 – ENG: Cybersecurity Analytics
 
Task description and/or any specific requirements:
Key Responsibilities: Applies expert level AI/ML analytic approaches to large volume of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization. Leverage Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders at all levels. Responds to ad hoc requests from stakeholders to investigate concerns. Responsible for working across business units to identify, collect, aggregate, analyze new data sources, and advance the team’s mission and reduce the time needed to deliver analytical insights. Responsible for highlighting and analyzing gaps in USPS systems and processes, as well as recommending remediation solutions to more effectively deter cybersecurity threats and fraudulent activity.
 
Required skills:
  • Applicant must be an expert with data science and AI/ML concepts used for fraud detection. Demonstrated expertise in AI/ML solution development, data science practice, data strategy and governance, and customer and stakeholder engagement – all developed over many years of client work delivering solutions.
  • Ability to design AI-powered solutions, integrating large language models, computer vision, and advanced analytics into secure, high-performing environments
  • Ability to direct specialized teams comprising of data scientists, data engineers, and business intelligence specialists driving key AI and advanced technology solutions across secure environments.
  • Manages delivery across multiple engagements including business intelligence, technology and tradecraft, financial operations, workforce analytics, cyber, artificial intelligence, risk management, and product development to enhance organizational performance (Python, SQL, Tableau, AWS).
  • Advanced skills applying AI/ML tools to accelerate business activities including but not limited to programming and script development.
 
Expert level knowledge of:
  • AI/ML Solution Architecture
  • Data Science and Advanced Analytics
  • Technology Strategy and Implementation
  • Data Strategy and Governance
  • MLOps and Model Lifecycle Management
  • Azure Databricks
  • Python, SQL, R Development