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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 Data Engineer - Senior based in Netherlands. This is a remote ...

Pwc

Data Engineer - Senior Associate

Kansas City, MO · On-site

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Senior Associate

Saint Louis, MO · On-site

$77K - $202K/yr

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 ...

Kanak Elite Services Inc

$109K - $130K/yr

Don't send Sr Level Developer * Bachelor's degree Desired * IBM Cloud * Datastage * DB2 * watsonX ... Manage Snowflake security, governance, and performance. * Proficient in object-oriented concepts ...

Cushman & Wakefield

Principal Engineer

Creve Coeur, MO · On-site

$157.25 - $185/hr

Role Summary We are seeking a Principal Data Engineer to serve as one of the most senior data ... Stakeholder Management * Trusted technical advisor: Serve as the go‑to technical voice for ...

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

You will leverage senior-level Python programming skills to build production-ready tools, automate ... Operating in a fast-paced, mission-focused environment, you will independently manage multiple ...

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

You will leverage senior-level Python programming skills to build production-ready tools, automate ... Operating in a fast-paced, mission-focused environment, you will independently manage multiple ...

GRVTY

Senior Data Scientist

Saint Louis, MO · On-site

You will leverage senior-level Python programming skills to build production-ready tools, automate ... Operating in a fast-paced, mission-focused environment, you will independently manage multiple ...

Jobtailor

Senior Data Scientist - AI Specialist

Dearborn, MO · On-site

$140 - $190/hr

As a Senior Data Scientist, you will use your knowledge of data and advanced analytics to identify ... Engineers in analytic and machine‑learning methods. * Work closely with the Product Manager and ...

Boeing

Senior Data Scientist

Hazelwood, MO · On-site

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring ... Collaborate with subject matter experts to understand engineering domain knowledge and incorporate ...

Boeing

Senior Data Scientist

Hazelwood, MO

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring ... Collaborate with subject matter experts to understand engineering domain knowledge and incorporate ...

Boeing

Senior Data Scientist

Hazelwood, MO · On-site

Senior Data Scientist Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring ... Collaborate with subject matter experts to understand engineering domain knowledge and incorporate ...

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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

Data Engineer - Senior

Jobgether

Remote

$88K - $106K/yr

Contractor

Posted 9 days ago

Job description

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

This is a remote opportunity for an experienced data engineer to play a key role in a large-scale digital transformation initiative. You will design, develop, and maintain scalable data solutions that support reliable, analytics-ready information across the organization. Working closely with business stakeholders, product owners, architects, and technical teams, you will help turn diverse data sources into trusted and usable datasets. The role has a strong focus on the Microsoft Azure data ecosystem and modern cloud-based data architectures. You will work extensively with Azure Data Factory, Databricks, Synapse Analytics, Data Lake Storage Gen2, Python, SQL, and Delta Lake. This is an environment where strong engineering practices, problem-solving, and data quality directly contribute to business and technology outcomes.

Accountabilities
  • Design, develop, and maintain scalable, reliable data solutions supporting a large-scale digital transformation program.
  • Build and optimize robust ETL/ELT pipelines that integrate data from diverse sources into trusted, analytics-ready datasets.
  • Develop cloud-based data solutions using the Microsoft Azure ecosystem, including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure SQL, and related services.
  • Use Python and SQL to develop data transformations, processing workflows, integrations, and analytical data solutions.
  • Design and manage data models and architectures that support scalability, reliability, performance, and data quality.
  • Work extensively with Azure Databricks and Delta Lake to build and optimize modern data processing and storage solutions.
  • Collaborate with business stakeholders, product owners, data architects, and technical teams to understand requirements and translate them into effective data engineering solutions.
  • Apply version control and engineering best practices using tools such as Git to support maintainable, collaborative development.
  • Leverage AI-powered tools where appropriate for code generation, data analysis, automation, optimization, and other data engineering activities.
  • Troubleshoot technical issues, optimize data workflows, and continuously improve pipeline performance, reliability, and maintainability.
  • Communicate technical concepts clearly and contribute to effective collaboration across business and technical teams.
Requirements:
  • At least 5 years of hands-on experience with Python and SQL in a data engineering environment.
  • At least 3 years of experience working with Azure services, including Azure Storage, Azure SQL, Azure Synapse, and Azure networking.
  • At least 3 years of hands-on experience with Azure Databricks and Delta Lake.
  • At least 3 years of experience designing data solutions and developing trusted, analytics-ready datasets.
  • At least 4 years of experience with version control systems, particularly Git.
  • At least 1 year of practical experience using AI tools for code generation, data analysis, automation, optimization, or related data engineering tasks.
  • Strong understanding of data engineering principles, ETL/ELT processes, data integration, and data pipeline development.
  • Advanced SQL development and data transformation capabilities.
  • Proven experience working with cloud-based data platforms and modern data architectures.
  • Strong analytical and problem-solving abilities, with a structured approach to diagnosing and resolving complex technical challenges.
  • Excellent communication and collaboration skills, with the ability to work effectively with both technical teams and business stakeholders.
  • Ability to work independently in a remote environment while maintaining strong ownership, organization, and delivery focus.
Benefits:
  • Fully remote position, offering flexibility to work from Slovenia.
  • Opportunity to contribute to a large-scale digital transformation initiative with significant data engineering scope.
  • Work with a modern Microsoft Azure cloud data ecosystem and widely used data engineering technologies.
  • Exposure to advanced platforms and tools including Azure Databricks, Delta Lake, Azure Synapse, Azure Data Factory, Python, and SQL.
  • Opportunity to apply AI-powered engineering tools to improve development, automation, analysis, and optimization.
  • Collaboration with multidisciplinary teams including business stakeholders, product owners, data architects, and technical specialists.
  • Opportunity to work on scalable, production-focused data solutions with direct business impact.
  • Remote working environment designed to support autonomy and flexibility.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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