Search for Data Engineer roles in Minneapolis, focusing on hybrid positions with 5+ years of experience, requiring SQL Server Integration Services (SSIS) skills, and with a salary range of $98,000 to $115,000.

Okay, I've searched for Data Engineer roles in Minneapolis that are hybrid, requiring at least 5 years of experience, with SQL Server Integration Services (SSIS) skills, and a salary range of $98,000 to$ 115,000. I found 42 positions that match your criteria.

Data Engineer

Minneapolis, MN

Hybrid

5 years + Experience

$98000+

$115000-

SQL Server Integration Services (SSIS)

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The Data Engineer position at Barr is fundamentally centered on building and maintaining efficient data pipelines, which play a crucial role in supporting the organization’s aspirations in AI and analytics. This role requires a combination of technical expertise, curiosity, and an innovative mindset. Success in this position involves not only the proficiency in ETL development using SQL Server Integration Services (SSIS) and Python but also the capability to enhance data quality and reliability through collaboration with cross-functional teams. Given Barr's diverse range of services across environmental and engineering consulting, the role’s responsibilities suggest a need for improved integration and visualization of data from varied projects—addressing the complexity of data management in a multi-faceted industry. Candidates will face challenges related to maintaining data observability and optimizing existing processes, requiring a proactive and solution-oriented approach to effectively mitigate issues as they arise. Performance expectations likely hinge on the successful implementation of robust data frameworks that can evolve with the company's growth and technological demands, indicating that adaptability and strategic foresight are paramount.

Company Analysis:

Barr Engineering Co. occupies a unique niche within the engineering and environmental consulting industry, catering to a diverse clientele across a variety of sectors such as power, mining, and manufacturing. As an employee-owned firm established over five decades ago, Barr reflects stability while fostering a culture that values innovation and community. This cultural emphasis on collaboration is essential in molding a productive work environment, as the Data Engineer will engage closely with data scientists and machine learning engineers. Expect a culture that prioritizes continuous learning and inclusivity, crucial for someone expected to harness new data technologies and improve data strategies. This role likely fits within an agile team structure, where transparency and communication with leadership play a significant role in aligning project outcomes with the overall company mission. The hybrid work arrangement reflects a modern approach to work-life balance, echoing Barr’s commitment to employee satisfaction and productivity. Thus, the Data Engineer position not only serves immediate operational goals but also aligns with Barr’s broader strategy of embracing innovation in data-driven solutions that advance their consulting services.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Tell me about a time when you discovered a significant error in an ETL process. How did you handle it?
Describe a specific instance where you had to collaborate with a cross-functional team. What challenges did you face, and how did you overcome them?
Can you recount a project where you implemented a solution that improved data quality or reliability? What was your approach?
How do you prioritize tasks when multiple stakeholders are requesting data support?
How would you structure an ETL pipeline for a new project utilizing SQL Server Integration Services?
What experience do you have with APIs, and how would you approach integrating a third-party API into an existing data system?
How would you enhance observability in an ETL pipeline? Provide specific tools or methodologies you would employ.
Imagine you are tasked with improving the existing ETL architecture to support a new AI initiative. What steps would you take?
Why are you interested in working at Barr Engineering specifically, and how do you see your role contributing to our mission?
What aspects of Barr's culture resonate with you the most, and how do they align with your work style?
What do you believe are the key trends in data engineering that our company should be aware of?
Can you describe your experience with Azure Data Factory and its application in data integration?
What questions do you have for us about the team dynamics or project goals at Barr Engineering?
How would you handle a situation where your data insights contradict the expectations of a project stakeholder?
Given Barr's diverse clientele, how do you think your previous experience will help you adapt to our varied project needs?

Job Details

Overview Company

Data Engineer

$98k/y-$115k/y

Barr Engineering Co.

3 days ago

Highlight

HybridFull-time5+ yearsSenior

Summary

Barr Engineering Co. is seeking a Data Engineer (Hybrid) to join their team in Minneapolis, MN. The role involves designing and maintaining data pipelines, integrating with third-party systems, and evolving ETL architecture.

About the Role

As a Data Engineer, you will support the Information Systems group by troubleshooting and maintaining ETL processes, improving data observability, architecting API integrations, and contributing to DevOps practices. You will collaborate with cross-functional teams to enhance data quality and support AI readiness.

About You

Required:

Bachelor’s degree in computer science, data engineering, information systems, or equivalent experience.
Five or more years of relevant experience in data engineering or ETL development.
Knowledge of SQL relational databases, especially SQL Server.
Experience with SQL Server Integration Services (SSIS).
Proficiency in a scripting or programming language such as Python, .Net, or PowerShell.
Strong interpersonal and communication skills.
Legal authorization to work in the United States without sponsorship.

Preferred:

Familiarity with NoSQL databases such as MongoDB, Redis, or DynamoDB.
Exposure to vector databases like Pinecone, Weaviate, Qdrant, Milvus.
Awareness of data patterns in AI/ML systems.
Basic knowledge of graph databases like Neo4j, Amazon Neptune.

Benefits

Competitive, affordable insurance plans including medical, dental, vision, life, and disability.
401(k) retirement savings plan with company contribution.
Employee Stock Ownership Plan (ESOP) with company contribution.
Annual bonus distribution plan.
Professional development benefits including mentorship and training opportunities.
Work/life balance with paid time off and family leave.
Wellness focus with ergonomic analysis and Personal Protective Equipment allowance.

Barr Engineering Co.

Barr provides engineering and environmental consulting services to clients across the Midwest, throughout the Americas, and around the world. We have been employee-owned since 1966 and trace our origins to the early 1900s. Working together, our 1,100+ engineers, scientists, and technical specialists help clients develop, manage, and restore natural resources.

Barr’s project teams work with clients in industries such as power, refining, mining, and manufacturing as well as attorneys, government agencies, and natural-resource-management organizations. Our project sites range from iron-ore mines in South America to wind-power farms in South Dakota, from manufacturing facilities in California to oil-sands fields in western Canada.

Barr is an EEO employer. For more about who we are and what we do, please visit our website at www.barr.com

Minneapolis, MN