ZipRecruiter

Log In

1

Sr Data Engineer Client Jobs in Missouri (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Kansas City, MO · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on ... Focused on relationships, you are building meaningful client connections, and learning how to ...

Pwc

Data Engineer - Senior Associate

Saint Louis, MO · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on ... Focused on relationships, you are building meaningful client connections, and learning how to ...

TKC Holdings

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About This Position TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to support and advance its enterprise reporting, analytics, and cloud data platform initiatives. This ...

Keefesupply

Senior Data Analyst Engineer

Saint Louis, MO · On-site

$100 - $160/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About This Position TKC Holdings is seeking a highly skilled Senior Data & Analytics Engineer to support and advance its enterprise reporting, analytics, and cloud data platform initiatives. This ...

New

Pwc

Data Engineer - Senior Manager

Kansas City, MO

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on ... Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct ...

previous pagenext page

Showing results 21-40

All JobsSr Data Engineer Client JobsSr Data Engineer Client Jobs in Missouri

Sr Data Engineer Client information

What is a Sr Data Engineer Client?

Sr Data Engineer Client roles refer to senior-level data engineering positions that focus on building, managing, and optimizing data infrastructure and pipelines to serve client-facing applications or external customers. These professionals are responsible for designing scalable data solutions, integrating diverse data sources, and ensuring data quality and security. They often collaborate with data scientists, analysts, and client teams to deliver actionable insights and support business objectives. Strong technical skills in data modeling, ETL processes, and cloud platforms are essential, along with experience in stakeholder communication.

What are some typical challenges a Sr Data Engineer Client might face when integrating client data systems with internal platforms?

Sr Data Engineers working with client data often encounter challenges such as aligning disparate data formats, managing inconsistent data quality, and ensuring data security during integration. Effective communication with both client and internal teams is crucial to clearly understand requirements and address technical limitations. These challenges can be mitigated by establishing robust data pipelines, thorough documentation, and proactive collaboration with stakeholders throughout the integration process.

What are the key skills and qualifications needed to thrive as a Sr Data Engineer Client, and why are they important?

To thrive as a Sr Data Engineer Client, you need extensive experience in data engineering, strong proficiency in SQL, Python, and data modeling, often supported by a bachelor's or master's degree in computer science or a related field. Mastery of big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications is highly valued. Exceptional problem-solving, communication, and stakeholder management skills help you bridge technical and business needs. These capabilities are crucial for delivering scalable data solutions that drive informed decision-making and client satisfaction.

What are popular job titles related to Sr Data Engineer Client jobs in Missouri?

For Sr Data Engineer Client jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Sr Data Engineer Client jobs in Missouri look for?

The top searched job categories for Sr Data Engineer Client jobs in Missouri are:

What cities in Missouri are hiring for Sr Data Engineer Client jobs?

Cities in Missouri with the most Sr Data Engineer Client job openings:

Sr Data Engineer Client jobs near you
Infographic showing various Sr Data Engineer Client job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Senior Data Engineer - Oil, Gas & Chemical (Kansas City)

Burns & McDonnell

Kansas City, MO • On-site

$103K - $140K/yr

Full-time

Posted 14 days ago

Burns & McDonnell rating

8.7

Company rating: 8.7 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

3rd of 80 rated construction

Job description

Description
The Senior Data Engineer is responsible for leading the development of scalable, data-driven solutions that enable trusted business intelligence, analytics, and enterprise data products across the Oil, Gas and Chemical (OGC) Global Practice. This role partners with engineering, construction, business, data engineering, and technology stakeholders to establish reliable data foundations that support strategic decision-making and operational excellence.
This position serves as a technical leader in advancing the organization's Databricks-based data ecosystem through modern data engineering practices, analytics, governance, and data product development. The role is responsible for designing and optimizing data pipelines, implementing data quality controls, managing enterprise data transformations, and enabling scalable solutions that support reporting, business intelligence, and analytical initiatives.
The Senior Data Engineer establishes and promotes best practices for data management, governance, metadata management, lifecycle controls, and analytical solution development while supporting the organization's long-term data strategy. Machine learning, predictive analytics, and advanced statistical techniques may be applied where appropriate to deliver measurable business value and improve decision-making capabilities.
Key Responsibilities:
Data Platform and Data Engineering
  • Lead the design, development, implementation, and support of scalable data pipelines, orchestration frameworks, and data transformation processes utilizing the Databricks platform.
  • Design, develop, and optimize Databricks notebooks, workflows, Delta Lake architectures, and enterprise data products to support business and project delivery needs.
  • Oversee the collection, ingestion, cleansing, transformation, validation, and quality control of structured and unstructured data assets.
  • Implement database-layer transformations, query optimization strategies, and automated quality controls to support a high-performance shared data environment.
  • Partner with architects, developers, and data engineers to align solutions with enterprise architecture, governance standards, and platform best practices.

Data Governance and Data Products
  • Establish and promote data governance standards, including data ownership, lifecycle management, metadata management, and data quality controls.
  • Lead implementation of enterprise data quality frameworks and validation processes to ensure trusted and consistent data assets.
  • Develop and maintain enterprise data flow documentation that visualizes data origins, transformations, dependencies, and downstream consumption across systems.
  • Lead the development and lifecycle management of enterprise data products supporting analytics, reporting, operational processes, and business decision-making.
  • Support Code of Account (COA) mapping initiatives by identifying, modeling, validating, and governing quantity and cost-related data relationships across estimating, engineering, procurement, and construction systems.

Analytics and Business Intelligence
  • Analyze data to discover business value, trends, relationships, and opportunities that support strategic business initiatives and operational improvements.
  • Develop dashboards, reports, and visualizations utilizing Power BI and related technologies to communicate technical results and business insights.
  • Perform root cause analysis, trend analysis, and analytical investigations to support business performance and process improvement.
  • Apply machine learning, predictive analytics, and statistical techniques where appropriate to solve business problems and improve decision-making outcomes.

Leadership and Collaboration
  • Partner with engineering, construction, project delivery, and business stakeholders to understand data requirements and improve enterprise data maturity.
  • Evaluate emerging platform technologies, analytical capabilities, industry practices, and data solutions for applicability to business challenges and opportunities.
  • Train and mentor less experienced data professionals and business data users. Provide performance feedback to managers.
  • Participate in recruitment efforts and technical candidate evaluations.
  • Other duties, as assigned.

Qualifications
  • Bachelor's degree in Analytics, Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related field; and a minimum of 8 years of related experience.
  • Experience designing, developing, deploying, and supporting production solutions within Databricks environments strongly preferred.
  • Strong knowledge of Databricks Lakehouse architecture, Delta Lake, Unity Catalog, Databricks Workflows, and Databricks notebooks strongly preferred.
  • Experience implementing governance, security, metadata management, and data lifecycle processes within enterprise data platforms strongly preferred.
  • Experience with Databricks, Python, SQL, and modern data engineering practices.
  • Experience developing, supporting, and optimizing scalable data pipelines, orchestration frameworks, and cloud-based data solutions.
  • Knowledge of data governance frameworks, metadata management, data quality methodologies, and lifecycle management practices.
  • Experience leading data mining, advanced analytics, machine learning, predictive analytics, and statistical modeling initiatives.
  • Experience developing enterprise data products and analytical solutions that support business intelligence and operational processes.
  • Experience with Power BI or similar data visualization and reporting technologies.
  • Experience with GCP BigQuery or similar cloud data warehouse technologies is preferred.
  • Familiarity with engineering, construction, project delivery, asset, or related technical data environments is preferred.
  • Ability to collaborate effectively with business stakeholders, architects, developers, data engineers, and application teams.
  • Ability to translate complex data ecosystems into practical, scalable, and sustainable enterprise solutions.
  • Strong problem-solving and analytical skills.
  • Strong attention to detail and commitment to data quality.
  • Excellent verbal and written communication skills with the ability to present technical concepts and findings to business audiences.

This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled.
EEO/Disabled/Veterans
Job Scientific
Primary Location US-MO-Kansas City
Schedule: Full-time
Travel: Yes, 10 % of the Time
Req ID: 263549
Job Hire Type Experienced #LI-JJ #OGC

What Burns & McDonnell employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Burns & McDonnell logo

About Burns & McDonnell

Sourced by ZipRecruiter

Burns & McDonnell assists clients of all sizes and industries by providing extensive physical services ranging from assessments, integrated security solutions, and large security architecture designs. Services we typically provide include security and safety system design, threat, risk, and vulnerability assessments, security surveys, security master planning, compliance to federal security programs, independent validation and verification of integrated security system operations, management of installation and maintenance, and staff augmentation to develop and implement facility management and protection processes.

Industry

Civil engineering construction

Company size

10,000+ Employees

Headquarters location

Kansas City, MO, US

Year founded

1898

Social media

FacebookTwitter

View All Burns & McDonnell Jobs

Apply