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Senior Data Engineer Manager Jobs in Missouri (NOW HIRING)

Jobgether

$88K - $106K/yr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer - Web Scraping based in Netherlands. This is a ...

Kohl's

$112K - $148K/yr

Role Specific Information About the Role As Senior Software Engineer, you will collaborate closely ... Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable, Dataproc, Pub/Sub, Cloud ...

Zelis

Sr. Data Engineer, Payment Operations

Saint Louis, MO

$103K - $140K/yr

Position Overview The Senior Data Engineer leads the engineering workstreams that underpin the ... Data Quality Management: Establish and maintain data quality controls within payment pipelines ...

New

Jobgether

$81K - $111K/yr

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data & Analytics Engineer based in Netherlands. As a Senior ...

New

The Walt Disney Company

Sr Data Analyst

California, MO · On-site

$118 - $173/hr

Sr Data Analyst Job ID 10157869 Location New York, New York, United States / Santa Monica ... Collaborate closely with data engineers and product management to tackle data consistency ...

New

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

About This Position TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to ... Demonstrated ability to operate independently and manage complex projects. Preferred Qualifications

Pwc

Data Engineer - Senior Manager

Kansas City, MO

$124K - $280K/yr

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 ...

Pwc

Data Engineer - Senior Manager

Saint Louis, MO

$124K - $280K/yr

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 ...

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Senior Data Engineer Manager information

What does a Senior Data Engineer Manager do?

A Senior Data Engineer Manager oversees teams of data engineers responsible for designing, building, and maintaining an organization’s data infrastructure. They develop strategies for data architecture, ensure the quality and security of data systems, and collaborate with other departments to meet business goals. In addition to technical responsibilities, they manage team performance, provide mentorship, and align data initiatives with company objectives.

What are the key skills and qualifications needed to thrive as a Senior Data Engineer Manager?

To thrive as a Senior Data Engineer Manager, you need deep expertise in data engineering, architecture, and leadership, typically backed by a degree in computer science or a related field and several years of experience. Proficiency with big data tools (such as Hadoop, Spark, Kafka), cloud platforms (AWS, Azure, or GCP), and data pipeline orchestration systems is essential, and certifications in these technologies can be advantageous. Exceptional communication, team management, and strategic thinking skills help you lead teams and align data solutions with business goals. These skills and qualities are vital for building scalable data infrastructure, fostering high-performing teams, and delivering actionable insights to drive organizational success.

What are some common challenges that Senior Data Engineer Managers face when leading data teams?

Senior Data Engineer Managers often encounter challenges in balancing strategic oversight with hands-on technical leadership. Managing cross-functional teams means coordinating efforts across data engineering, analytics, and business stakeholders, which can lead to complex communication and prioritization issues. Additionally, overseeing large-scale data infrastructure projects requires staying updated on evolving technologies while ensuring data quality and security. Effective delegation, fostering team growth, and aligning technical solutions with business goals are key to overcoming these challenges.

What is the difference between Senior Data Engineer Manager vs Data Engineer?

AspectSenior Data Engineer ManagerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often leadership experienceBachelor's in CS, Data Science, or related
Work EnvironmentLeads teams, manages projects, strategic planningDevelops data pipelines, coding, data modeling
Industry UsageCommon in organizations with large data teamsEntry to mid-level roles in data teams

The Senior Data Engineer Manager oversees data engineering teams and projects, focusing on leadership and strategy, while Data Engineers primarily build and maintain data pipelines and infrastructure. The managerial role requires leadership skills and experience, whereas Data Engineers focus on technical execution.

What are popular job titles related to Senior Data Engineer Manager jobs in Missouri?

For Senior Data Engineer Manager jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineer Manager jobs in Missouri look for?

The top searched job categories for Senior Data Engineer Manager jobs in Missouri are:

Senior Data Engineer Manager jobs near you

Senior IT Data Engineer

J. E. Dunn Construction Group

Kansas City, MO • On-site

$103K - $140K/yr

Full-time

Re-posted 4 days ago

JE Dunn Construction rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

Best People + Right Culture. These are the driving forces behind JE Dunn's success.
By hiring inspired people, giving them interesting and challenging work, enabling them with innovative tools, and letting them share in the company's rewards, we've found a sustainable way to grow in our industry for the last 100+ years.
Our diverse teams around the country strive to enrich lives through inspired people and places everyday, and we need inspired people like you to join us in our pursuit of building perfection.
Role Summary
The Senior Data Engineer designs, implements, and evolves enterprise data and machine learning capabilities using Microsoft Fabric and related modern data platforms. This role emphasizes enabling predictive and prescriptive analytics by building scalable data foundations, partnering with business stakeholders to identify high-value opportunities, and applying a deep understanding of machine learning, data science, and statistical concepts to real business problems. The position operates as a forward-looking technical leader who is comfortable working with rapidly changing technologies-including Fabric, data agents, Rayfin, and large language models-and exploring new ways to create business value from data. All activities will be performed in support of the strategy, vision and values of JE Dunn.
  • Autonomy & Decision-Making: Makes decisions on non-routine matters, provides recommendations to supervisor, and refers all exceptions to supervisor.
  • Career Path: Data Engineering Manager

Key Role Responsibilities - Core
  • Design and implement scalable data and analytics architectures in Microsoft Fabric that support predictive and prescriptive use cases
  • Partner with business stakeholders to understand operational challenges, available data, and opportunities to create measurable business value through analytics and machine learning
  • Apply a strong understanding of machine learning, data science, and statistical concepts to support model development, experimentation, and deployment
  • Support the development of predictive and prescriptive analytics solutions by preparing reliable, well-governed datasets for training, inference, and decision support
  • Evaluate emerging technologies such as Fabric, data agents, Rayfin, and large language models, and recommend practical ways to leverage them in new and innovative ways
  • Design data models and transformation processes that improve data quality, consistency, and usability for advanced analytics
  • Participate in architectural reviews to ensure new systems align with the organization's data, analytics, and AI strategy
  • Implement governance, lineage, metadata, and security practices that enable trusted self-service analytics and responsible AI usage
  • Monitor and improve the performance, reliability, and quality of data and ML workflows, including alerting for data drift and model performance issues
  • Document analytics and ML data dependencies, solution designs, and technical standards to support maintainability and scale
  • Collaborate across departments to identify data synergies, prioritize high-impact use cases, and communicate changes to stakeholders
  • Optimize data processes and platform capabilities to improve the speed, effectiveness, and cost-efficiency of analytics and machine learning solutions

Key Role Responsibilities - Additional Core
SENIOR DATA ENGINEER
In addition, this position will be responsible for the following:
  • Supports the definition of enterprise patterns and standards for advanced analytics, machine learning, and AI-enabled data products
  • Provides subject matter expertise for evolving or experimental initiatives involving predictive analytics, prescriptive analytics, and emerging technologies
  • Mentors junior team members on data science concepts, analytical thinking, and modern data platform best practices
  • Leads small to medium sized initiatives as a technical subject matter expert in advanced analytics and data architecture
  • Provides authoritative feedback on how upstream systems, business processes, and data structures can better support analytical and ML outcomes
  • Collaborates with key stakeholders and IT leadership to identify and prioritize data investments with clear business value
  • Contributes to the data and AI strategy roadmap and supports complex, high-impact initiatives that leverage modern and rapidly evolving technologies

Knowledge, Skills & Abilities
  • Ability to perform work accurately and completely, and in a timely manner
  • Communication skills, verbal and written
  • Time management skills
  • Ability to prioritize multiple projects
  • Ability to drive change through innovation & process improvement
  • Ability to communicate to executive audiences and deliver results through influence
  • Deep understanding of machine learning, data science, and statistical concepts, including how to apply them to business problems and value creation
  • Ability to work with business stakeholders to understand available data, identify opportunities, and define high-value predictive and prescriptive analytics use cases
  • Comfort working with cutting-edge and rapidly changing technologies, including Microsoft Fabric, data agents, Rayfin, and large language models
  • Ability to think creatively about how emerging technologies can be leveraged in new ways to improve decision-making and business outcomes
  • Proficiency in SQL - Intermediate
  • Proficiency in Python - Intermediate
  • Proficiency in Spark - Intermediate
  • Experience implementing data architectures and governed analytical data models in modern data platforms
  • Knowledge of data governance and security best practices
  • Experience developing and consuming REST APIs for data integration (Preferred)
  • Familiarity with Power BI and Microsoft Fabric (Preferred)
  • Experience with Microsoft Purview or similar data catalog and governance tools (Preferred)
  • Experience supporting or operationalizing machine learning models for predictive or prescriptive analytics (Preferred)

Education
  • Bachelor's degree in Computer Science, Data Engineering or related field (Required)
  • In lieu of the above requirements, equivalent relevant experience will be considered.

Experience
  • 5+ years of experience in data analytics or data engineering (Required)

Working Environment
  • Frequent activity: Sitting, Viewing Computer Screen
  • May require periods of overnight travel
  • Must be able to lift up to 10 pounds
  • Normal office environment
  • Occasional activity: Standing, Walking, Bending, Climbing, Reaching above Shoulder

Benefits Information
The benefits package aligned to this position is Professional Non-Union. Please click the link below for more details.
Click here for benefits details
This role is expected to accept applications for at least three business days and may continue to be posted until a qualified applicant is selected or the position has been cancelled.
JE Dunn Construction is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer and it is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category. JE Dunn Construction is a background screening, drug-free workplace.
JE Dunn provides reasonable accommodations to qualified individuals with disabilities. If you would like to request a reasonable accommodation in order to apply for a job, please submit your request to accommodations@jedunn.com
JE Dunn Construction Company does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of JE Dunn Construction without a prior written search agreement will be considered unsolicited and the property of JE Dunn Construction Company. Please, no phone calls or emails.
Requisition ID: 62609
Why People Work Here
At JE Dunn we offer our employees an inspired place to enrich their life and the lives of those around them
Building on our rich history, our employee owners are shaping the future of JE Dunn. In our team-focused environment we do life together and are generously rewarded for our efforts
About JE Dunn
For more information on who we are, click here.
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