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Senior Bi Developer Jobs in Delaware (NOW HIRING)

Bayhealth

Senior Estimator, Project Manager

Dover, DE · On-site

$111K - $151K/yr

Admin and Facilities Planning and Const, Dover, Delaware Status: Full Time 80 Hours Biweekly Shift ... Engineering competency required includes the ability to establish project plans for installing ...

Pbf Energy

Data and Insights Architect

Delaware City, DE · On-site

$121K - $216K/yr

... developers, BI teams, and business stakeholders to deliver scalable data solutions * Translate business requirements into reusable architectures * Provide architectural guidance and secure senior ...

Delaware River and Bay Authority

Be Seen First

Sr. Maintenance Journeyman-Electrician

New Castle, DE · On-site

$35.61/hr

... Engineers, Local 542 ESSENTIAL DUTIES AND RESPONSIBILITIES • Provides expert level maintenance ... their bi-weekly pay • Employees holding a valid CDL must be able to obtain and keep current a ...

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All JobsBi Developer JobsSenior Bi Developer JobsSenior Bi Developer Jobs in Delaware

Senior Bi Developer information

See Delaware salary details

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$60

$86

How much do senior bi developer jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for senior bi developer in Delaware is $60.11, according to ZipRecruiter salary data. Most workers in this role earn between $52.93 and $64.71 per hour, depending on experience, location, and employer.

What jobs make around $100,000 a year?

Senior BI Developers often earn around $100,000 annually, especially with experience, advanced skills in data modeling, SQL, and BI tools like Tableau or Power BI. Other roles in data analysis, software engineering, and IT management can also reach or exceed this salary level depending on industry, location, and certifications.

What are Senior BI Developers?

Senior BI (Business Intelligence) Developers are experienced IT professionals who design, develop, and maintain business intelligence solutions such as data warehouses, dashboards, and reports. They work closely with stakeholders to analyze data requirements, transform raw data into meaningful insights, and help organizations make data-driven decisions. Their role often includes using BI tools like Power BI, Tableau, or SQL, optimizing data models, and mentoring junior developers on best practices.

What is the difference between Senior Bi Developer vs Data Engineer?

AspectSenior Bi DeveloperData Engineer
CredentialsTypically requires a degree in Computer Science, Data Analytics, or related fields; certifications like Microsoft Certified Data Analyst are commonRequires a degree in Computer Science, Software Engineering, or related; certifications like Google Cloud Professional Data Engineer are valued
Work EnvironmentWorks primarily with BI tools, dashboards, and reporting platforms within business teamsFocuses on building data pipelines, ETL processes, and data infrastructure in cloud or on-premises environments
Industry UsageCommonly employed in finance, retail, healthcare, and other sectors for reporting and analyticsUsed across industries for data infrastructure, big data processing, and data warehousing

While both roles involve working with data, Senior Bi Developers focus on creating reports and dashboards for business insights, whereas Data Engineers build the systems that collect, store, and prepare data for analysis. Understanding these differences helps organizations assign the right talent for their data needs.

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

To thrive as a Senior BI Developer, you need strong expertise in data modeling, SQL, ETL processes, and analytics, often supported by a degree in computer science or a related field. Proficiency with BI tools like Power BI, Tableau, or SSRS, as well as experience with data warehousing solutions, is typically required. Analytical thinking, problem-solving, and effective communication are crucial soft skills for translating business needs into actionable insights. These skills and qualities are essential for delivering accurate, meaningful data solutions that drive strategic decision-making within organizations.

How does a Senior BI Developer typically collaborate with cross-functional teams to deliver business intelligence solutions?

A Senior BI Developer works closely with stakeholders such as data analysts, business managers, and IT teams to understand business requirements, translate them into technical specifications, and develop scalable BI solutions. They often facilitate requirements-gathering sessions, create data models, and design dashboards or reports that meet user needs. Effective collaboration and communication are essential, as the role involves aligning technical processes with business goals and ensuring data accuracy and usability across departments.
What are the most commonly searched types of Bi Developer jobs in Delaware? The most popular types of Bi Developer jobs in Delaware are:
What are popular job titles related to Senior Bi Developer jobs in Delaware? For Senior Bi Developer jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Senior Bi Developer jobs in Delaware look for? The top searched job categories for Senior Bi Developer jobs in Delaware are:
What cities in Delaware are hiring for Senior Bi Developer jobs? Cities in Delaware with the most Senior Bi Developer job openings:
What are popular job titles related to Senior Bi Developer jobs in DE? For Senior Bi Developer jobs in DE, the most frequently searched job titles are:
Senior Bi Developer jobs near you
Data Engineer (Short-Term Engagement)

Data Engineer (Short-Term Engagement)

Serverless Guru

Wilmington, DE • On-site, Remote

$111K - $133K/yr

Temporary

Posted 20 days ago

Job description

We are looking for 5+ years of overall data engineering experience, with expert-level hands-on experience in CData, Snowflake, and Looker schema development. As a senior data engineer, you will bring best practices for modern data architecture, data modeling, and analytics enablement, helping ensure that data pipelines and reporting layers are performant, scalable, and easy for business users to consume. Your expertise in data integration and modeling will be critical to the success of this short-term engagement and will directly impact the client's ability to make data-driven decisions.
About the Role
As a Data Engineer, you will work closely with technical and business teams to build and optimize data pipelines and analytics layers. You will be responsible for integrating multiple data sources using CData, transforming and modeling data within Snowflake, and creating structured, scalable Looker schemas to support reporting and insights.
Key Responsibilities
  • Design, build, and optimize data pipelines using CData connectors
  • Ingest and transform data into Snowflake for analytics and reporting
  • Develop and maintain scalable data models within Snowflake
  • Build and optimize Looker schemas (LookML) for business intelligence use cases
  • Ensure data quality, consistency, and reliability across systems
  • Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions
  • Troubleshoot and resolve data pipeline and modeling issues
  • Implement best practices for data governance, performance optimization, and scalability

Required Skills & Experience
  • 5+ years of overall data engineering experience
  • Expert-level experience with CData (connectors, integrations, and data ingestion)
  • Strong expertise in Snowflake (data modeling, performance tuning, ETL/ELT)
  • Extensive experience building Looker schemas (LookML)
  • Strong SQL skills and experience working with large datasets
  • Experience designing and implementing end-to-end data pipelines
  • Familiarity with data integration patterns and best practices
  • Experience working in Agile development environments
  • Strong problem-solving and communication skills

Preferred Qualifications
  • Experience with BI tools beyond Looker
  • Familiarity with modern data stack tools
  • Experience with data governance and data quality frameworks
  • Exposure to cloud-based data ecosystems
  • Experience with manufacturing or distribution data (nice to have)

Engagement Details
  • Duration: 4-5 weeks (40 hrs/week)
  • Timezone: EST
  • Client industry: manufacturing and distribution (related industry experience not required; the role is fully on the data side)

Join our team and help deliver a high-impact data solution that enables smarter decision-making and scalable analytics for our client.

Apply