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Concurrency
Brookfield, WI | Full Time
$107k-131k (estimate)
10 Months Ago
Data Engineer
Concurrency Brookfield, WI
$107k-131k (estimate)
Full Time | Business Services 10 Months Ago
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Concurrency is Hiring a Data Engineer Near Brookfield, WI

Who We Are 

We are change agents. We are inspired technologists. We are unlike any other technology consulting firm. Our team fearlessly challenges the status quo, relentlessly pursues what’s next and pushes the limits of what’s possible. A Microsoft Gold Partner and multiple time Partner of the Year award recipient, Concurrency is renowned for its ability to turn unmatched technology expertise into client outcomes. Have we inspired the technologist in you? Come be a change agent at Concurrency. 

Who We’re Looking For 

We’re excited to add a Data Engineer to our Data & AI team. In this role, you’ll work with a team of customer-focused professionals who are committed to defining technical strategy, architecting, designing, and delivering end-to-end digital transformation. you'll demonstrate strong technical competence and business acumen through engaging in senior-level technology decision-making discussions related to agility, business value, data warehousing, and cloud-oriented data solutions. You’ll empower other consultants by sharing subject matter expertise in large enterprise implementations, as well as overseeing the delivery of large, complex, and strategic projects for enterprise customers. 

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Position Responsibilities

  • Data Engineers for various and unanticipated worksites throughout the U.S. (HQ: Brookfield, WI).
  • Lead requirements and design sessions with customers and internal teams.
  • Author functional requirements and technical design documentation.
  • Build, automate, and modify ADF pipelines.
  • Create or modify ELT/ETL procedures and scripts in T-SQL.
  • Create or modify Python, Scala, and SQL programs.
  • Develop Power BI Tabular Models, Reports and Dashboards.
  • Work with the solution team to help set standard architectures, processes, and best practices.
  • Technical Environment: Data Analysis, Data Migration, Data Mining, Machine Learning, Data Modeling, ETL, Power BI, MS Azure ML, Azure SQL Database, SQL Server, R Studio, Python (NumPy, Pandas).
Position Requirements
  • Bachelor’s degree in Computer Science, Management Information Systems, or a related field plus 3 years of experience in the job offered or in data analytics required.
  • Required skills: Data Analysis, Data Migration, Data Mining, Machine Learning, Data Modeling, ETL, Power BI, MS Azure ML, Azure SQL Database, SQL Server, R Studio, Python (NumPy, Pandas). 100% telecommuting permitted.
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Concurrency takes pride in bringing a different mindset to consulting—that takes a diversity of thought, collaboration and resilience. We are an innovation-obsessed yet a fun and progressive place to work. We offer flexible work schedules, competitive compensation, and great benefits for our people and their families.

In addition, all employees are eligible for several rewards and recognition programs, excellent training programs, and bonus opportunities to encourage our people to be the best versions of themselves in and out of work.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$107k-131k (estimate)

POST DATE

06/22/2023

EXPIRATION DATE

05/11/2024

WEBSITE

concurrency.com

HEADQUARTERS

BROOKFIELD, WI

SIZE

100 - 200

FOUNDED

1989

TYPE

Private

CEO

MARK ERHART

REVENUE

$10M - $50M

INDUSTRY

Business Services

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About Concurrency

Concurrency is a provider of business consulting, organizational change management and operational support services for enterprises.

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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 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.

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

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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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