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Data Engineer Bi Developer Jobs (NOW HIRING)

The Lead BI Developer will drive the building and optimization of data transformations and curated reporting objects within the company-standard data lakehouse architecture (Databricks), ensuring ...

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Title: Power BI Developer Location: Atlanta, GA Key Responsibilities Semantic Modeling & Data ... Collaborate with data engineering teams to define data requirements, improve data quality, and ...

The BI Developer will create and manage a centralized reporting environment, collaborating with ... Architect data sets to ensure ease-of-use for self-serve reporting that performs to governed ...

The Lead BI Developer will drive the building and optimization of data transformations and curated reporting objects within the company-standard data lakehouse architecture (Databricks), ensuring ...

Houston TX -Hybrid 3 days a week Duration: 6-12 months Power BI Developer will help transforming raw data to valuable and meaningful insights in the form of appealing dashboards and reports. The ...

The Lead BI Developer will drive the building and optimization of data transformations and curated reporting objects within the company-standard data lakehouse architecture (Databricks), ensuring ...

Spring TX - Hybrid Duration: 6-12 months The Power BI Developer converts raw data into valuable and insightful dashboards, applications, and reports. Additionally, they offer design/solution ...

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team. * Responsible for assisting in configuration and scripting to implement ...

Design, develop, and maintain data warehouse, ETL, and Business Intelligence solutions. * Create and maintain reports and dashboards using BI tools such as Power BI and SSRS. * Collaborate with ...

... a BI Developer ! We are seeking a highly motivated individual who is eager to learn, contribute ... Responsible for end-to-end data transformation using Power Query and DAX, building and maintaining ...

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Data Engineer Bi Developer information

What does a Data Engineer BI Developer do?

A Data Engineer BI (Business Intelligence) Developer is responsible for designing, building, and maintaining the systems and processes that collect, store, and analyze data for business intelligence purposes. They work with large datasets, create data pipelines, and ensure data is accurate, accessible, and well-organized for reporting and analysis. This role often involves developing ETL (Extract, Transform, Load) processes, integrating data from multiple sources, and creating dashboards or reports to help organizations make data-driven decisions.

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

To thrive as a Data Engineer BI Developer, you need strong skills in database management, data modeling, ETL processes, and a background in computer science or information technology. Proficiency with tools and platforms such as SQL, Python, Microsoft Power BI, Tableau, and cloud data services is typically required, along with relevant certifications like Microsoft Certified: Data Analyst Associate. Analytical thinking, problem-solving, and effective communication are vital soft skills to translate complex data into actionable business insights. These skills and qualities are crucial for ensuring accurate data integration, efficient reporting, and supporting informed decision-making within organizations.

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

A Data Engineer BI Developer works closely with data analysts and business stakeholders to understand data requirements and translate them into robust BI solutions. This often involves gathering user needs, designing and building ETL pipelines, and creating data models or dashboards that support insightful decision-making. Regular communication and feedback sessions help ensure that the delivered solutions align with business objectives and allow for quick adjustments as requirements evolve. Effective collaboration is key to delivering accurate, accessible, and actionable data insights across the organization.

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

AspectData Engineer Bi DeveloperData Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentBuild data pipelines, manage databases, work with big data toolsAnalyze data, generate reports, interpret data trends
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesMarketing, retail, consulting, business intelligence

Data Engineer Bi Developers focus on designing and maintaining data infrastructure and pipelines, while Data Analysts interpret data to provide insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Analysts focus on data interpretation and reporting.

What is a data engineer BI developer's salary?

The salary for a Data Engineer BI Developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with expertise in tools like SQL, Python, and data warehousing often command higher salaries, especially with certifications or advanced skills.
More about Data Engineer Bi Developer jobs

What cities are hiring for Data Engineer Bi Developer jobs?

Cities with the most Data Engineer Bi Developer job openings:

What states have the most Data Engineer Bi Developer jobs?

States with the most job openings for Data Engineer Bi Developer jobs include:

Infographic showing various Data Engineer Bi Developer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Lead BI Developer

The J.M. Smucker Co.

Orrville, OH • On-site

Other

Posted 2 days ago

New


J.M. Smucker rating

8.3

Company rating: 8.3 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

48th of 438 rated food and drinks producers


Job description

Your Opportunity as the Lead BI Developer, Information Services - Corporate Administration
The Smucker Information Services (IS) department enables technology solutions for capabilities that help our business perform, transform and grow. The Lead BI Developer on the IS Corporate Administration Team realizes this purpose by designing, developing, and maintaining scalable business intelligence solutions that provide enterprise-grade reporting and analytics. The Lead BI Developer will drive the building and optimization of data transformations and curated reporting objects within the company-standard data lakehouse architecture (Databricks), ensuring high-quality, consumable datasets for analytics. This role emphasizes visualization delivery, BI solution development, and data platform best practices. The Lead BI Developer serves as an advisor and subject matter expert to business stakeholders and IS partners, providing a clear vision for downstream reporting via trusted and reusable data assets.
Location: Orrville, Ohio (Close proximity to Cleveland/Akron)
Work Arrangements: Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires
In this role you will:
  • Partner directly with internal business customers of varying analytics maturity and data literacy to plan and deliver opportunities for business intelligence and insights that drive business outcomes. Influence and contribute to capability and technology roadmaps within business areas, particularly pertaining to reporting and analytics.
  • Lead the design, development, and maintenance of curated data transformations, scalable data assets and reporting objects in the Databricks Platinum layer to support enterprise BI and analytics use cases.
  • Lead the design, development and maintenance of Tableau dashboards and other visualizations by ensuring alignment to architectural standards and optimization for performance and usability.
  • Influence and clarify business requirements that lead to efficient, well-structured data transformations and semantic layers.
  • Implement performance tuning and optimization strategies for large-scale data processing and BI workloads.
  • Influence the design and operation of data pipelines, partnering with Enterprise Data Platform teams on their delivery of data engineering, modeling and governance activities.
  • Provide expert knowledge and support to audit and compliance activities involving BI reports. Serve as an escalation point for analytics resources within business functions.
  • Influence and steward data governance, naming standards and development lifecycle practices.
  • Lead improvements to BI architecture, tooling, and development processes that support data quality, consistency and reliability across curated datasets.
  • Mentor junior team members and provide subject matter expertise on BI development and visualization best practices as well as reporting enablement.

What We Are Looking For:
Minimum Requirements:
  • 5+ years of experience in BI development, analytics engineering or related roles.
  • Bachelor's degree in a STEM discipline (Business, Engineering, MIS, Computer Science, or related field) or specialized training in Information Technology and/or Data Analytics.
  • Experience delivering assignments independently under limited guidance within formal delivery methodologies/frameworks (Agile, Traditional/Waterfall, DevOps).
  • Familiarity with modern data architecture concepts such as Lakehouse, ELT frameworks, and data orchestration tools.
  • Strong experience with Databricks or similar cloud data platforms, including data transformation development.
  • Experience with preparing data and developing visualizations in tools such as Tableau
  • Experience making decisions and guiding approach on applying SQL-based languages (e.g., SQL Server, Oracle SQL, or MySQL) for data extraction, transformation, and analysis across complex datasets.
  • Knowledge of CI/CD practices within data and analytics development.
  • Advanced understanding of performance optimization techniques for large datasets. Experience navigating trade-offs between design approaches and fulfillment of requirements.
  • Ability to design scalable, maintainable, and well-documented data solutions. Experience influencing designs and improving documentation processes.
  • Advanced problem-solving and technical troubleshooting skills.
  • Excellent communication skills with ability to translate technical concepts to non-technical stakeholders.

Additional skills and experience that we think would make someone successful in this role (not required):
  • Experience working in CPG-related analytics environments or supporting administrative functions such as Finance, Accounting, Human Resources, Communications, Legal, Enterprise Risk, Ethics & Compliance.
  • Experience integrating Databricks with enterprise BI ecosystems.
  • Experience with Python or other scripting languages for data processing.
  • Experience applying artificial intelligence (AI) capabilities and technology toward solution development and analytics use cases
  • Experience implementing data governance and metadata management practices, including use of platforms such as Atlan.
  • Demonstrated ability to train, mentor or manage work of other resources (internal or contracted) on business intelligence topics.
  • Knowledge of modern IT concepts such as Cloud Computing and Infrastructure as Code.

The Right Place for You
We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs.
Stay connected with us on LinkedIn
We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.

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