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Mid Level Data Engineer Consultant Jobs in Wisconsin

Staff Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

... mid-level data engineersPartner with analytics, product, and business stakeholders to translate ... Science, Engineering, or related field (or equivalent experience)7+ years of experience in data ...

Senior Data Engineer

Milwaukee, WI · Hybrid

$104K - $141K/yr

Mentor junior and mid-level engineers through code reviews and pair programming * Evaluate new ... as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Best-in-class management and technical consulting, multi-disciplinary engineering design, on-site ... Visits to project sites to collect data and to observe construction progress. Qualifications

Best-in-class management and technical consulting, multi-disciplinary engineering design, on-site ... Visits to project sites to collect data and to observe construction progress. Qualifications

Best-in-class management and technical consulting, multi-disciplinary engineering design, on-site ... Visits to project sites to collect data and to observe construction progress. Qualifications

Established in 1900, Mead & Hunt is a nationally recognized professional services consulting firm ... Mid-Level Civil Engineer in La Crosse, WI. Responsibilities include: * Design tasks from ...

... Mid-Level Graphic Designer to join a growing creative team ... Here, designers work alongside engineering, print, and fulfillment teams to develop retail ...

... Previous consulting experience is preferred but not required. · Experience migrating data ... Data Engineer certification (or equivalent GCP certification). Competency Requirements · Builds ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Mid - Senior Level This is what you will do.. You will be using quantitative methods to assess the ... Who is good in providing external consulting. Who is proficient in SAS or other statistical ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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Mid Level Data Engineer Consultant information

What cities in Wisconsin are hiring for Mid Level Data Engineer Consultant jobs? Cities in Wisconsin with the most Mid Level Data Engineer Consultant job openings:

Staff Data Engineer

Continuus Technologies LLC

Germantown, WI • On-site

$116K - $139K/yr

Full-time

Re-posted 29 days ago


Job description

Role OverviewThe Staff Data Engineer is a senior technical leader responsible for designing, scaling, and governing the organization's data platform and pipelines. This role sets data engineering standards, drives architectural decisions, and mentors engineers while partnering closely with analytics, product, and business leaders to enable reliable, high-impact data solutions.Key ResponsibilitiesArchitect and own scalable, resilient data pipelines and platformsLead design decisions for data ingestion, transformation, and storageEstablish best practices for data modeling, testing, observability, and reliabilityDrive data quality, lineage, and governance frameworksServe as a technical mentor for junior and mid-level data engineersPartner with analytics, product, and business stakeholders to translate needs into data solutionsEvaluate and implement modern data tools and cloud technologiesLead incident response, root cause analysis, and long-term remediationContribute to roadmap planning and long-term data strategyQualificationsBachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)7+ years of experience in data engineering or related rolesAdvanced SQL and strong proficiency in Python (or similar language)Deep experience with data warehousing and data modelingProven experience designing production-grade ETL/ELT pipelinesStrong understanding of distributed systems and data architecturePreferred ExperienceCloud data platforms (AWS, Azure, or GCP)Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.)Data observability, monitoring, and reliability toolingExperience supporting analytics, BI, ML, or product data use casesPrior experience influencing technical strategy without direct authority