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Data Bi Engineer Jobs in Silver Spring, MD (NOW HIRING)

Job Summary We are seeking a Senior BI Developer with strong expertise in Power BI, Tableau, and Data Engineering to design and deliver advanced dashboards, reporting solutions, and scalable data ...

BI Developer

Washington, DC ยท On-site

$85K/yr

E-logic is seeking a versatile BI Developer to translate complex compliance, contract evaluation, and investigative data sets into clear, actionable executive dashboards for for the Office of ...

Works closely with Data Administrators and Data Architects to enforce proper end-to-end management ... BI Developer Responsibilities: * Works independently to develop high quality BI contents that meets ...

Works closely with Data Administrators and Data Architects to enforce proper end-to-end management ... BI Developer Responsibilities: * Works independently to develop high quality BI contents that meets ...

We are looking for a Senior Power BI Developer to develop and build a capacity management system ... Knowledge of Data Mining, Clustering & Statistical Modelling is preferred. * Must have a knowledge ...

We are looking for a Senior Power BI Developer to develop and build a capacity management system ... Knowledge of Data Mining, Clustering & Statistical Modelling is preferred. * Must have a knowledge ...

BI Developer

Washington, DC ยท On-site

$70K - $100K/yr

About the Team ULI's Data Analytics & Engineering (DA&E) team turns the organization's data into ... Power BI dashboards, paginated reports that are automated and distributed by email to stakeholders ...

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Data Bi Engineer information

See Silver Spring, MD salary details

$46K

$134.1K

$183.5K

How much do data bi engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for data bi engineer in Silver Spring, MD is $134,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,400.00 and $142,100.00 per year, depending on experience, location, and employer.

Will AI replace data engineer?

AI is unlikely to fully replace data engineers, as their role involves designing, building, and maintaining data pipelines, which require complex problem-solving and domain expertise. Instead, AI tools can automate routine tasks, allowing data engineers to focus on architecture, data quality, and strategic analysis. Skills in programming, cloud platforms, and data management remain essential for the role.

What are Data BI Engineers?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

How does a Data BI Engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is a BI data engineer?

A BI data engineer designs, builds, and maintains data pipelines and systems to support business intelligence and analytics. They work with tools like SQL, ETL processes, and data warehouses to ensure data is accurate, accessible, and ready for analysis by data analysts and scientists.

What are the key skills and qualifications needed to thrive as a Data BI Engineer, and why are they important?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, specialized expertise, or working in high-demand industries such as finance or technology firms.

What is the salary of a BI engineer in the US?

The average salary of a Business Intelligence (BI) Engineer in the US ranges from $80,000 to $130,000 annually, depending on experience, location, and skills. Senior BI engineers with expertise in tools like Tableau, Power BI, or SQL can earn higher salaries, often exceeding $140,000. Certifications and proficiency in data modeling and ETL processes can also influence compensation.
What are popular job titles related to Data Bi Engineer jobs in Silver Spring, MD? For Data Bi Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Bi Engineer jobs in Silver Spring, MD look for? The top searched job categories for Data Bi Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Bi Engineer jobs? Cities near Silver Spring, MD with the most Data Bi Engineer job openings:

Senior BI Developer

Prophecy Technologies

Urbana, MD โ€ข On-site

Full-time

Posted 16 days ago


Job description

Job Summary
We are seeking a Senior BI Developer with strong expertise in Power BI, Tableau, and Data Engineering to design and deliver advanced dashboards, reporting solutions, and scalable data pipelines. This role requires close collaboration with cross-functional teams to provide actionable insights, optimize BI performance, and support enterprise-wide analytics initiatives. The ideal candidate will bring architect-level experience in BI tools and Azure data services.
Location
Urbana, MD
Experience
8-10 Years
Key Responsibilities
  • Design and develop interactive dashboards and reports using Power BI and Tableau
  • Implement advanced data modeling, DAX calculations, and performance optimization
  • Build and maintain ETL pipelines using Azure Data Factory (ADF) and Azure Databricks
  • Develop and deploy SSAS Tabular models, manage data security, and optimize query performance
  • Integrate BI dashboards into applications while ensuring compliance with security standards
  • Collaborate with stakeholders to gather requirements, document specifications, and align solutions with business goals
  • Provide operational support for BI tools and resolve issues within defined SLAs

Required Skills & Experience
Business Intelligence & Analytics
  • 10+ years of experience in Power BI, Tableau, and SQL
  • Strong expertise in Power BI architecture, DAX, Power Query (M Language), XMLA, and report sharing strategies
  • Advanced experience in Tableau dashboard design and performance optimization

Data Engineering & Azure Stack
  • Hands-on experience with Azure BI stack:
  • Azure Data Factory (ADF)
  • Azure Databricks
  • Azure Analysis Services (SSAS)
  • Azure Data Lake Analytics
  • Azure Data Lake Store (ADLS)
  • Azure Stream Analytics
  • Azure Event Hubs
  • Azure Integration Runtime
  • Proficiency in ETL processes, data modeling, and schema design

Database Technologies
  • Azure SQL
  • MongoDB

Additional Skills
  • Proficiency in SQL; Python experience is a plus
  • Strong communication and problem-solving abilities

Competencies
  • Digital : Microsoft Power BI
  • Business Intelligence & Analytics
  • Data Engineering

Preferred Skills
  • Experience with Looker
  • Exposure to Dynamics 365
  • Experience using DBT
  • Familiarity with Power Apps