Job Description

ABOUT MORTENSON


As a Top 25 builder, developer, and EPC, our expertise spans markets like sports, renewable energy, data centers, healthcare, and more. We are builders at heart, working to ensure the built environment has a lasting positive impact. Let’s Redefine Possible®


SUMMARY


As a member of the Data Solutions team, you will contribute to developing solutions for our data engineering practice, collaborating with other groups to design, document, develop, test, debug and implement solutions that support companywide BI, advanced analytics and other strategic data initiatives. You will use your skills and knowledge of data engineering tools and practices, database analysis tools and techniques, descriptive and statistical techniques, and applications to generate strategic insights that drive business goals. You will have many responsibilities in this role, but much of your work will involve building ETL processes for BI solutions and reports, pipelines for data ingestion for analytics purposes and working in SQL. You will need to have excellent communication skills, problem-solving skills, and working knowledge of data engineering methodologies and tools, as well as analytics and data science best practices to succeed in this role.


LOCATION: Minneapolis, MN preferred location.


RESPONSIBILITIES



  • Build data pipelines that clean, transform, and aggregate data from disparate sources.

  • Work closely with business subject matter experts to identify, design, and develop datasets for complex experiments or solutions.

  • Coordinate data resource requirements between business subject matter experts and data engineering experts within data solutions team to solve analytics problems.

  • Work with business stakeholders, data engineers, data scientists and other team members to translate prototypes into production.

  • Assist in the development of data management policies and procedures as assigned.

  • Analyze large, noisy datasets and identify meaningful patterns that provide actionable results.

  • Create informative visualizations that intuitively display large amounts of data and/or complex relationships.

  • Develop, implement, and maintain change control and testing processes for modifications to algorithms and data analytics.

  • All other duties as assigned.


QULIFICATIONS AND EDUCATION



  • Fundamental knowledge of the software development lifecycle including common documentation and testing methods.

  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.

  • Prior experience with a cloud-based integration platform like Informatica strongly preferred.

  • Expert knowledge of Python and associated libraries for data engineering and data science.

  • Familiarity with relational SQL, and NoSQL databases.

  • Experience with large datasets a must.

  • Prior experience with data lakes and related platforms such as Data Bricks or Microsoft Fabric is a plus.

  • Experience in programming using programming languages such as JAVA, PLSQL.

  • Good understanding of the organization’s goals and objectives.

  • Knowledge of applicable data privacy practices and laws.

  • Understanding of project management methodologies

  • Understanding of scripting languages preferred.

  • A passion for analyzing and answering hard questions with data.

  • A flexible analytic approach that allows for results at varying levels of precision.

  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.

  • Open to change based on diverse input and feedback.

  • Effectively work with those of diverse backgrounds and organizational levels.

  • Adaptive, effective communication and active listening skills. 

  • Strong cross-cultural relationship building and influencing at all organizational levels.

  • Minimum of 5 years technical education or equivalent experience developing software or data solutions

  • Hands-on experience in a technical environment either in an analyst or development role.

  • Graduate or post graduate university degree in the field of computer science, mathematics, or statistics preferred.


BENEFITS 


Mortenson provides a comprehensive benefits program to team members and their families to support their health, build long-term financial security, and provide the opportunity for work and life balance. 


Benefits offered to non-craft; non-union, full-time team members include: 



  • Medical and prescription drug plans – the choice between two affordable HSA-eligible medical plans that include vision coverage.

  • Dental plan 

  • 401k retirement plan with generous matching and profit-sharing contributions 

  • Paid time off, holidays, and other paid leaves 

  • Life, AD&D, and disability insurance 

  • Employee assistance program online mental health tool and concierge 

  • Tuition reimbursement 

  • Adoption Assistance   

  • Gym Membership Discount Program   

  • Identity Theft Protection 


Mortenson is an EOE/Affirmative Action/M/F/Veteran/Disabled employer.


Visa sponsorship is not available for this position.


Mortenson reserves the right to hire any individual without legal or financial obligation on unwanted solicitations. 


No agency emails, calls, or solicitations are accepted without a valid agreement.


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Salary

Not Specified

Location

MN, United States

Job Overview
Job Posted:
20 hours ago
Job Expires:
1yr 6mos
Job Type
Full Time
Education
Any
Experience
N/A
Vacancies
1

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Location

MN, United States