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Milwaukee, WI | Full Time
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Dexian
Milwaukee, WI | Contractor
$114k-142k (estimate)
1 Day Ago
Cignitix Global
Milwaukee, WI | Contractor
$114k-140k (estimate)
1 Day Ago
Komatsu
Milwaukee, WI | Full Time
$102k-130k (estimate)
1 Day Ago
ClickJobs.io
Milwaukee, WI | Full Time
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ClickJobs.io
Milwaukee, WI | Full Time
$91k-118k (estimate)
1 Day Ago
Data Engineer (no C2C or subcontractors)
Dexian IT Solutions Milwaukee, WI
Apply
$116k-146k (estimate)
Full Time 4 Days Ago
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Dexian IT Solutions is Hiring a Data Engineer (no C2C or subcontractors) Near Milwaukee, WI

Contract to Hire Experienced (Sr.) Data & Analytics Engineer

  • Summary: Mid or Senior level experience data modeler and designer with good data analytics experience.
  • Duration – We plan to convert this individual to a full time employee after an initial contract period (Contract to hire after 6 Months)
  • Target Salary : $110-$135k (roughly), 25% annual Bonus
  • Temporary hourly rate : $65-$80/hr W2 benefits
  • Location – Currently working in a hybrid setting in downtown Milwaukee. Working 3 days in the office and 2 days remotely.

Position Description:

This is a key role on our IT Data Team requiring a broad range of skills and the ability to step into different roles depending on the size and scope of the business need.

Data Architecture

  • Specialize in data modeling, both 3NF and dimensional, with experience in conceptual, logical, physical, and industry data modeling. Strong knowledge and experience with data architecture methodologies.
  • Apply the appropriate level of modeling theory, pattern recognition, and abstractions to architect and design a pragmatic solution that functionally meets the business and technical requirements.
  • Partner with internal business units to define information requirements and translate them into appropriate data solutions.
  • Collaborate with IT and business partners to lead data discovery, profiling, analysis, and quality assessments in order to obtain clear information requirements.
  • Develop and validate source to target mappings and transformation logic required to support business needs. Understand the importance of capturing data lineage.
  • Architect, implement and verify end-to-end data solutions.
  • Develop test plans needed to ensure a quality deliverable. Participate in validation testing, coordinate user acceptance testing and training to ensure the final implementation enables the user to solve their business problem.

General Data Management

  • Play a critical role in architecting our data and analytics solution landscape
  • Demonstrate competence, experience, knowledge, understanding, and advocacy of data management concepts, data warehousing, BI, and analytics.
  • Demonstrate ability to perform appropriate level of strategic thinking by viewing initiatives both within the immediate project context as well as the overall architectural vision.
  • Participate and/or Lead in data architectural design and strategy discussions.

Data Delivery

  • Work with the business users to conduct data discovery engagements and can quickly identify, and prototype, a solution that brings together multiple data sources into one coherent concept and understanding. (data blending)
  • Leverage existing tools to create data visualizations and mentors the business to be self-sufficient.

Collaborate – build relationships!

  • Identify and communicate project risks and impediments and proactively work with other members of the Analytics team to complete high-value deliverables as identified by business partners and team leadership.
  • Partner with Analytics team members to translate business and functional requirements into technical designs
  • Strive to understand the data consumption needs of the business community, as well as the problems faced by business users involving the access and use of data
  • Help Analytics teams develop solutions that enable businesses to capitalize on business insights and drive toward gaining a competitive advantage

Candidate Profile:

  • Minimum of 3-5 years of experience in Data Solution delivery in a complex environment working collaboratively in a team setting
  • Proficient in Data Solution tools and concepts such as:

-Business Intelligence tools: Microsoft tools (SQL Server Management Studio, SSRS, SSAS, Power Pivot, Power Query, PowerBI), Alteryx

-Database: SQL Server

-Data Query tools: SQL, T-SQL

-Data Management and Quality: data mapping, data profiling, metadata repository, relational data modeling, master data management

-Data Modeling: ER/Studio Data Architect, 3NF and dimensional modeling

-Data Warehousing concepts: Inmon, Kimball, Data Lake

-Data Integration concepts and strategies: EII, ETL, EL-T and EAI

Benefits to joining this team:

  • Information technology is a core part of this firm's business strategy and plays a critical role in the growth and transformation of the firm.
  • Fortune 100 and Computer World Best Company to Work For with collaborative culture that values diverse backgrounds and perspectives while emphasizing teamwork and a strong sense of partnership.
  • Ability to use a breadth of technology to positively impact the technology experience for all Baird associates.
  • Great team atmosphere with long-term growth opportunity.
  • Support and flexibility to grow and be your best at work, at home, and in the community.

Job Summary

JOB TYPE

Full Time

SALARY

$116k-146k (estimate)

POST DATE

06/27/2024

EXPIRATION DATE

07/12/2024

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The following is the career advancement route for Data Engineer (no C2C or subcontractors) positions, which can be used as a reference in future career path planning. As a Data Engineer (no C2C or subcontractors), it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer (no C2C or subcontractors). You can explore the career advancement for a Data Engineer (no C2C or subcontractors) below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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