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Database & Data Engineer Job Opening In Eau Claire – Now Hiring Lean Marketing


Job description

Position Overview The Database & Data Engineer drives the design, performance, and reliability of NBI’s SQL ecosystem, including Azure SQL environments, data warehouses, and business-critical systems .


This role focuses on building well-architected, secure, and high-performing database solutions that support integration across multiple systems and enable teams to turn data into action.


You will design schemas, indexes, and pipelines , proactively optimize queries and performance, enforce data governance and security standards, and collaborate with analysts, marketers, and operations teams to implement solutions that power campaigns, reporting, and strategic decisions.


This is not a maintenance role — it’s an opportunity to own, transform, and protect the databases and integrations that underpin the company’s growth and decision-making.


Why This Role Matters Build well-designed, fast, secure, and scalable database foundations that support all business-critical systems.


Ensure high-performance, reliable, and optimized SQL Server and Azure SQL databases .


Design and build integrations between multiple business systems (CRM, marketing platforms, reporting tools) that unify the customer story.


Provide guidance and architectural expertise for analysts, marketers, and other teams to implement database-driven solutions.


Proactively monitor, troubleshoot, and tune databases to prevent bottlenecks and ensure system reliability.


Maintain data security, governance, and integrity across all platforms.


Key Responsibilities Database Design & Performance - Design and optimize schemas, tables, indexes, and queries for scalability, performance, and reliability.

- Monitor, troubleshoot, and tune databases to resolve bottlenecks proactively.

- Participate in database migrations, upgrades, and performance tuning across Azure SQL and other environments.


System Integration & Data Unification - Build and maintain ETL pipelines, APIs, and scripts to connect CRM, marketing, reporting, and other platforms.

- Ensure data hygiene, identity resolution, and deduplication across systems.

- Align data structures to deliver a single source of truth for reporting and analytics.


Support & Collaboration - Translate business requirements into technical solutions that enable teams to succeed.

- Provide guidance and support to other developers and teams implementing queries, reports, or integrations.

- Maintain documentation, data dictionaries, and pipeline diagrams for clarity and governance.


Security & Governance - Enforce database permissions, access controls, and security best practices .

- Build monitoring, logging, and error-handling frameworks to ensure system reliability and integrity.

- Define and track SLAs/SLIs for data availability, freshness, and accuracy.


Qualifications / Experience / Skills Education:



  • - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field — or equivalent practical experience.

Experience:



  • - 5+ years in database administration, database engineering, or SQL Server development , ideally in Microsoft SQL Server and Azure SQL environments .

    - Proven experience designing and optimizing schemas, tables, indexes, and queries for scalability, performance, and reliability.

    - Hands-on experience monitoring, troubleshooting, and tuning Microsoft SQL Server / Azure SQL databases .

    - Experience designing and building data integrations between business systems using ETL pipelines, APIs, or custom scripts.

    - Demonstrated commitment to data security, governance, and compliance .

    - Experience supporting analysts, marketers, or other teams by providing database guidance and architectural expertise.

Technical Skills:



  • - Expert in Microsoft SQL Server (MSSQL) and Azure SQL (Managed Instance, SQL Database, SQL on VMs).

    - Strong SQL skills — writing and optimizing queries, stored procedures, and views.

    - Performance tuning, indexing, and query optimization .

    - Experience with integration development : designing and building ETL pipelines, APIs (REST, SOAP, GraphQL), and system-to-system scripting.

    - Knowledge of data modeling (normalization, star schemas, primary/foreign key relationships).

    - Familiarity with monitoring and performance tools (SQL Profiler, SQLSentry, Azure monitoring).

    - Experience with scripting or automation (Python, PowerShell, or similar).

    - Version control and deployment experience (e.g., Git, CI/CD workflows).

  • Programming Skills Programming / Development Enhancements Build and maintain APIs, scripts , and backend logic to integrate internal and external systems (CRM, marketing automation, reporting tools, etc.).
  • Develop automation utilities to streamline manual data workflows (e.g., quality checks, data refreshes, file transfers).
  • Write and optimize stored procedures , joins, and transformation logic that prepare data for analytics, dashboards, and campaign execution.
  • Use a general-purpose programming language (e.g., Python, C#, or Java) to support data ingestion, transformation, or enrichment from external sources.
  • Implement error-handling, logging, and monitoring frameworks in pipelines and integrations to ensure system resilience.
  • Collaborate with IT and development teams to support middleware and custom applications that depend on shared data.

Contribute to version control and CI/CD workflows (e.g., Git) to manage code, deployments, and database changes.

  Soft Skills:



  • - Strong problem-solving and analytical thinking — able to troubleshoot complex database and integration issues.

    - Excellent communication skills — translating technical requirements into actionable solutions for business teams.

    - Collaborative and approachable — works effectively across cross-functional teams.

    - Mentors and supports other developers , helping enforce best practices and scalable solutions.

    - Proactive, reliable, and accountable — takes ownership of database health, performance, and integrity.

  • Location Hybrid in Eau Claire, WI — a mix of focused, heads-down work and collaborative team time Powered by JazzHR
  • Required Skill Profession

    Computer Occupations


  • Job Details

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Unlock Your Database Data Potential: Insight & Career Growth Guide


Real-time Database Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Database Data in Eau Claire, United States, highlighting market share and opportunities for professionals in Database Data roles.

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47604
6 Jobs in Eau Claire
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Are You Looking for Database & Data Engineer Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Lean Marketing adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

What Is the Average Salary Range for Database & Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Eau Claire. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Database & Data Engineer?

Key qualifications for Database & Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for Database & Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Database & Data Engineer Job Success

Lean Marketing interview tips for Database & Data Engineer

Here are some tips to help you prepare for and ace your Database & Data Engineer job interview:

Before the Interview:

Research: Learn about the Lean Marketing's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Database & Data Engineer interview at Lean Marketing, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Lean Marketing's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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