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Senior Bi Developer Jobs in Maine (NOW HIRING)

IDEXX Laboratories

Senior Analytics Engineer

Westbrook, ME · On-site

$106K - $145K/yr

We are seeking a Senior Analytics Engineer to build the trusted data foundation behind Point-of ... Experience building or maintaining semantic layers that serve BI tools, APIs, or agent-based ...

Abbott

Sr. Manufacturing Automation Engineer

Bradley, ME · On-site

$92K - $125K/yr

Job Title: Sr. Manufacturing Engineer Location: 5 Bradley Drive, Westbrook, ME 04092 Duration: 12 ... Power BI, etc.) COMPETENCIES: General Competencies: • Innovative Thinking: Independently ...

Arkatechture

Lead Analyst

Portland, ME · On-site +1

Serve as a senior escalation point for advanced SQL, ETL/ELT, data warehouse, and BI-related issues ... Partner cross-functionally with Engineering, Product, and Customer Success to address systemic ...

Arkatechture

Technical Lead, Data Analytics

Portland, ME · On-site +1

$100K - $140K/yr

Serve as the senior technical resource for our Business Intelligence and Data Analytics Support ... BI dashboards and scheduled refreshes. * Collaborate across Engineering, Customer Success, and ...

Siemens

Mentorship from senior engineers * Individual career development planning * Networking with our ... Build and maintain dashboards using Power BI or similar tools to visualize key performance ...

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Senior Bi Developer information

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How much do senior bi developer jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for senior bi developer in Maine is $58.15, according to ZipRecruiter salary data. Most workers in this role earn between $51.20 and $62.60 per hour, depending on experience, location, and employer.

Is AI replacing BI?

As a Senior BI Developer, it is important to understand that AI enhances business intelligence by automating data analysis and generating insights more efficiently. While AI tools can automate certain tasks, human expertise remains essential for interpreting complex data and making strategic decisions. AI is a complement to traditional BI rather than a complete replacement.

Are BI developers in demand?

BI developers are in high demand due to the increasing need for data-driven decision-making across industries. Organizations seek professionals skilled in tools like Power BI, Tableau, and SQL to analyze and visualize data effectively, making BI development a strong career choice with steady growth prospects.

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.

Is Power BI still in demand in 2026 and after 2026?

Power BI remains a highly sought-after skill for senior BI developers in 2026 and beyond, as organizations continue to prioritize data visualization and business intelligence tools. Its integration with cloud platforms and demand for data-driven decision-making ensure ongoing relevance, with proficiency in DAX, data modeling, and related certifications enhancing job prospects.

What is the salary of senior Power BI developer?

The salary of a senior Power BI developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with advanced skills in data modeling, DAX, and Power BI tools tend to earn higher salaries.

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 popular job titles related to Senior Bi Developer jobs in Maine? For Senior Bi Developer jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Senior Bi Developer jobs in Maine look for? The top searched job categories for Senior Bi Developer jobs in Maine are:
What are popular job titles related to Senior Bi Developer jobs in ME? For Senior Bi Developer jobs in ME, the most frequently searched job titles are:
Senior Bi Developer jobs near you
Infographic showing various Senior Bi Developer job openings in Maine as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $120,956 per year, or $58.2 per hour.

Senior Analytics Engineer

IDEXX Laboratories, Inc.

Westbrook, ME • On-site

$106K - $145K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago

IDEXX Laboratories rating

7.4

Company rating: 7.4 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

68th of 120 rated laboratories

Job description

We are seeking a Senior Analytics Engineer to build the trusted data foundation behind Point-of-Care analytics, reporting, and emerging AI-enabled insight generation. You'll own the transformation and semantic layer that sits between raw data infrastructure and the analysts, applications, and AI tools that consume it.
Why this role matters:
Point-of-care diagnostics generate some of the most valuable data in IDEXX, but that data is only as powerful as the models, definitions, and structure behind it. Today, analysts, applications, and emerging AI tools all depend on a trusted, well-modeled layer to deliver accurate insights. This role builds that foundation. Your work determines how reliably our teams can analyze instrument performance, understand customer experience, and generate AI-enabled insights across IDEXX's diagnostic portfolio. When the modeled layer is clean, tested, documented, and consistent, everything built on top of it becomes faster, more accurate, and more scalable.
In this Role You will:
  • You'll design and maintain modeled datasets in Snowflake that support product analytics, customer experience insights, and operational reporting across IDEXX's diagnostic instrument portfolio.
  • Own the transformation layer in Snowflake, building and maintaining modeled datasets (silver/gold tier) from raw and bronze-tier sources. Design for clarity, performance, and reuse.
  • Build and maintain a semantic layer that makes our data discoverable and consumable by analysts, AI agents, and data catalog platforms. Embed business definitions, metric logic, and relationship metadata into the models and their documentation.
  • Define, document, and help drive adoption of data modeling standards, testing practices, and documentation norms across the team's Snowflake environment. Establish patterns that analysts and engineers can follow consistently.
  • Partner with our Senior Data Engineer on medallion architecture decisions, taking ownership of the transformation logic so infrastructure work can stay focused on orchestration, ingestion, and platform reliability.
  • Support and extend our data catalog (Alation) by maintaining asset documentation, lineage, and discoverability. Make self-service real, not aspirational.
  • Serve as a technical resource and mentor across the analytics pillar, raising the floor on SQL rigor, version control practices, and data modeling fluency.
  • Engage directly with business stakeholders and cross-functional partners to understand data needs, translate them into scalable model designs, and challenge requirements when the better answer is to reshape the question.
  • Help design and deploy AI-enabled workflows and agent applications against it, including automated data quality monitoring and tools that reduce repetitive analysis and recurring reporting effort across the team.

What you need to succeed:
  • Deep experience with dbt or comparable transformation and versioned modeling practices. You should have strong convictions about project structure, testing strategy, and documentation standards.
  • Advanced Snowflake proficiency, including performance tuning, architecture understanding, and the ability to design models that scale.
  • Strong data modeling skills spanning dimensional, wide-table, and hybrid approaches.
  • You choose the pattern that fits the problem, not the one you're most comfortable with.
  • Git and version control as an ingrained daily practice, not an afterthought.
  • Demonstrated ability to operate autonomously at a senior level: scoping work, setting
    priorities, and delivering without close oversight.
  • Clear, direct communication style. You can explain technical trade-offs to non-technical
    stakeholders and hold your own in architectural discussions with engineers.
  • Genuine curiosity about AI and LLM tooling applied to data. You don't need to be an ML
    engineer, but you should be thinking about how structured data and metadata enable intelligent systems.
  • Mindset to turn messy operational data into reusable analytical products.
  • Caring about naming conventions and business definitions more than most people think is reasonable
  • Experience working in environments where the data infrastructure was better than the modeled layer on top of it, and you wanted to fix that gap.
  • Ability to be excited about AI not because of the hype, but because you can see how clean, well-structured data makes it actually work.
  • Python for data transformation, scripting, or prototyping.
  • Experience with Airflow or similar orchestration tools.
  • Familiarity with data catalog platforms such as Alation, DataHub, or similar.
  • Experience with warehouse-native AI features such as such as semantic models, agent frameworks, or natural language query interfaces.
  • Experience building or maintaining semantic layers that serve BI tools, APIs, or agent-based systems.
  • Background in enterprise environments with complex, multi-source data ecosystems.
  • Exposure to veterinary diagnostics, medical devices, or healthcare data is helpful but not required.

What you can expect from us:
  • Base salary range of $130,000 to $150,000 based on experience
  • Opportunity for annual cash bonus
  • Health / Dental / Vision Benefits Day-One
  • 5% matching 401k
  • Additional benefits including but not limited to financial support, pet insurance, mental health resources, volunteer paid days off, employee stock program, foundation donation matching, and much more

Why IDEXX:
We're proud of the work we do, because our work matters. An innovation leader in every industry we serve since 1983, our team members help pet owners worldwide keep their companion animals healthy and happy, ensure safe drinking water for billions, and help farmers protect livestock and poultry from disease. We have customers in over 175 countries and a collaborative global workforce. Our culture embraces challenges and encourages learning and discovery. At IDEXX, you'll be supported by competitive compensation, incentives, and benefits while enjoying purposeful work that drives improvement. If meaningful work and a sense of purpose are at the top of your list, you'll find it here. Let's pursue what matters together.
IDEXX values a diverse workforce and workplace and strongly encourages women, people of color, LGBTQ+ individuals, people with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply. IDEXX is an equal opportunity employer. Applicants will not be discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition, or any protected category prohibited by local, state, or federal laws.
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