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Senior Data Platform Engineer Jobs in Missouri (NOW HIRING)

Senior IT Data Engineer

Kansas City, MO ยท On-site

$120 - $180/hr

Optimize data processes and platform capabilities to improve the speed, effectiveness, and cost ... Core SENIOR DATA ENGINEER In addition, this position will be responsible for the following:

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... Experience with additional programming languages or low-code/no-code platforms such as JEMA ...

Data Platform Architect

Florissant, MO ยท On-site

$58.75 - $75.75/hr

This is a senior, hands-on leadership role responsible for establishing structure, governance, and ... Qualifications * 7+ years of experience in data engineering, data architecture, or a closely ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... Experience with additional programming languages or low-code/no-code platforms such as JEMA ...

Senior Data Engineer

O Fallon, MO ยท On-site

$99K - $134K/yr

Overview The Enterprise Data Quality team is seeking a Senior Data Engineer to help build and scale Mastercard's next-generation Data Quality platform. This role focuses on designing and developing ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic ... Experience with additional programming languages or low-code/no-code platforms such as JEMA ...

Data Engineer II

Saint Louis, MO ยท Hybrid

$111K - $133K/yr

Azure SQL Server will be their secondary platform * Growth for this role is Sr. Data Engineer, then Architect Position Summary Seeking a full-time Data Engineer II located in St. Louis, MO who, as ...

Data Engineer II

Saint Louis, MO ยท Hybrid

$111K - $133K/yr

Azure SQL Server will be their secondary platform * Growth for this role is Sr. Data Engineer, then Architect Position Summary Seeking a full-time Data Engineer II located in St. Louis, MO who, as ...

Showing results 21-40

Senior Data Platform Engineer information

What does a senior data platform engineer do?

A Senior Data Platform Engineer is responsible for designing, building, and maintaining large-scale data platforms that support an organization's data analytics and processing needs. They work with various technologies to ensure data is collected, stored, and accessible efficiently and securely. Their role often involves optimizing data pipelines, managing databases, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable data solutions. In addition, they help set best practices and mentor junior engineers on the team.

How does a senior data platform engineer typically collaborate with data scientists and analysts within an organization?

A Senior Data Platform Engineer works closely with data scientists and analysts to understand their data needs and ensure the platform supports efficient data access, processing, and analysis. This often involves designing and implementing data pipelines, optimizing data storage solutions, and ensuring data quality and integrity. Regular communication is essential to align on data requirements, troubleshoot issues, and roll out new platform features that enhance analytical capabilities. Collaboration frequently occurs through agile ceremonies, project meetings, and shared documentation to ensure all stakeholders are aligned and productive.

What are the key skills and qualifications needed to thrive as a senior data platform engineer, and why are they important?

To thrive as a Senior Data Platform Engineer, you need deep expertise in data architecture, database management, ETL design, and programming languages like Python or Java, typically supported by a bachelor's degree in computer science or related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in relevant technologies are commonly required. Strong problem-solving, collaboration, and communication skills set top performers apart in this role. These competencies are essential for building robust, scalable data systems that support business intelligence and data-driven decision-making.

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

AspectSenior Data Platform EngineerData Engineer
CredentialsBachelor's/Master's in CS, Data Science, or related; often certifications in cloud platformsBachelor's in CS, Software Engineering, or related; certifications in data tools are common
Work EnvironmentDesigning, building, and maintaining large-scale data platforms; working with cloud servicesDeveloping data pipelines, ETL processes, and data storage solutions
Industry UsageUsed across tech, finance, healthcare, and retail for managing data infrastructureCommonly employed in similar industries for data processing and integration

The Senior Data Platform Engineer focuses on designing and maintaining scalable data platforms, often with cloud expertise, while Data Engineers primarily develop data pipelines and ETL processes. Both roles require strong technical skills and are vital in data-driven organizations, but the Senior Data Platform Engineer typically has a broader scope and more strategic responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in Missouri?

The most popular types of Data Platform Engineer jobs in Missouri are:

What cities in Missouri are hiring for Senior Data Platform Engineer jobs?

Cities in Missouri with the most Senior Data Platform Engineer job openings:

Senior Data Engineer (Lakehouse Specialist) :: W2 Role

Bright Mind Solutions LLC

Lake Saint Louis, MO โ€ข On-site

$108K - $130K/yr

Contractor

Re-posted 14 days ago


Job description

Senior Data Engineer (Lakehouse Specialist)
Client 
Data Analytics Internal Practice Team
 
Team is doing work for St. Louis University, Washington University, Mehrs Goodwill, and a hand full of other active clients.
Communication
Must be perfect communication
Work location
Remote or Local
If local will work hybrid.
Client Location
Work hours will be Central Time zone, St. Louis, MO (Chesterfield, MO)
Term 
1 year+ contract
Work Status    
GC/USC required
 
Key Skills:
  • DataBricks, Snowflake, AWS, GCP, SQL, Python
  • Lakehouse platform development
  • Lakehouse Architect  and Maintain with Delta Lake, Apache Iceberg, or Hudi
  • Spark: Develop and optimize batch and streaming ETL pipelines
  • Data Lakehouse design patterns and modern data architectures
 
 
 
Job Description:
We are seeking a Senior Data Engineer with strong experience building and maintaining Data Lakehouse architectures. In this role, you’ll design scalable data pipelines, optimize data models, and ensure high-performance data availability across structured and unstructured sources. You’ll work closely with data analysts, data scientists, and business stakeholders to deliver reliable, high-quality datasets that support analytics, machine learning, and real-time decision-making.
Key Responsibilities:
  • Architect and maintain Lakehouse platforms using tools like Delta Lake, Apache Iceberg, or Hudi
     
  • Develop and optimize batch and streaming ETL pipelines
     
  • Implement data quality, governance, and security best practices
     
  • Collaborate with cross-functional teams to deliver business-critical datasets
     
  • Tune performance and ensure scalability for large-scale workloads
     
Qualifications:
  • 5+ years of data engineering experience
     
  • Strong knowledge of cloud data platforms (e.g., Databricks, Snowflake, AWS, GCP)
     
  • Proficiency in SQL, Python, and big data tools (Spark, dbt, etc.)
     
Experience with data lakehouse design patterns and modern data architectures
 
If you are interested or have any references please share resume at mukul@brightmindsol.com.