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Professional Data Engineer Jobs in Missouri (NOW HIRING)

Pwc

Data Strategy-Manager

Kansas City, MO · On-site

$99K - $232K/yr

... Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data Catalog Professional - Collibra Certified Ranger/Steward ...

Pwc

Data Strategy-Manager

Saint Louis, MO · On-site

$99K - $232K/yr

... Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data Catalog Professional - Collibra Certified Ranger/Steward ...

Build-A-Bear Workshop

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

The Data Engineer helps design, build, and maintain pipelines and platforms that power our data ... Communication is factual, polite, and professional Working Environment: * Typical office ...

Pwc

Data Governance- Manager

Kansas City, MO · On-site

$99K - $232K/yr

... Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data Catalog Professional - Collibra Certified Ranger/Steward ...

Pwc

Data Governance- Manager

Saint Louis, MO · On-site

$99K - $232K/yr

... Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified Professional - Alation Certified Data Catalog Professional - Collibra Certified Ranger/Steward ...

Kanak Elite Services Inc

$109K - $130K/yr

Data Engineer The candidate must be committed to move to St. Louis and live here 100% from day 1. ... Effective interpersonal skills, with positive professional verbal and written skills YOU MAY ALSO ...

CarShield

Data Engineer

Saint Peters, MO · On-site

$109K - $131K/yr

We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of handling ... Professional development opportunities. * Basketball, and other recreation available on-site.

Stellar IT Solutions

AWS Data Engineer

Saint Louis, MO · On-site

$108K - $130K/yr

This is an excellent opportunity for entry level candidates and early-career professionals who want to build expertise in AWS cloud technologies, big data, and modern data engineering. What You'll Do

CarShield

Data Engineer

Saint Peters, MO · On-site

$109K - $131K/yr

We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of handling ... Professional development opportunities. * Basketball, and other recreation available on-site.

CarShield

Data Engineer

Saint Peters, MO

$109K - $131K/yr

Description We are seeking a mid-level SQL Server Data Engineer who understands the intricacies of ... Professional development opportunities. * Basketball, and other recreation available on-site.

The Timberline Group

Data Engineer Manager

Saint Louis, MO · On-site +1

$111K - $133K/yr

The Cloud Data Engineering team within Data Engineering will oversee the analysis, development ... IT professionals, to ensure the team's success and enable the employees to achieve their career ...

Rosnet LLC

AI Data Engineer

Kansas City, MO · On-site

$102K - $123K/yr

Experience * 5-10 years of professional experience in data engineering, with at least 2 years involving AI/ML pipeline development or MLOps. * Demonstrated experience building production-grade data ...

Rosnet LLC

AI Data Engineer

Kansas City, MO · On-site

$102K - $123K/yr

Experience * 5-10 years of professional experience in data engineering, with at least 2 years involving AI/ML pipeline development or MLOps. * Demonstrated experience building production-grade data ...

Navtech, Inc.

Sr Data Engineer

Lake Saint Louis, MO · On-site

$108K - $130K/yr

Hi Professionals, Hope you are doing good, Please find the below JD and let me know your thoughts, Job Title : Sr. Data Engineer (SSIS & Power BI) Location : Remote till march 2022 Duration : 6 ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · Remote

$113K - $136K/yr

As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics ... Support Project Management: Assist the Professional Services leader and project managers with ...

Koantek

Data Engineer - Multiple Positions

Chesterfield, MO · On-site

$113K - $136K/yr

As a Data Engineer at Koantek, you will leverage advanced data engineering techniques and analytics ... Support Project Management: Assist the Professional Services leader and project managers with ...

Focus Financial Partners

BI & Data Engineer

Saint Louis, MO · Hybrid

$111K - $133K/yr

Position Summary The BI & Data Applications Engineer is an experienced BI and data engineering professional responsible for building and maintaining Focus's data consumption layer - the reports ...

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Showing results 1-20

All JobsProfessional Data Engineer JobsProfessional Data Engineer Jobs in Missouri

Professional Data Engineer information

See Missouri salary details

$41.7K

$121.7K

$166.5K

How much do professional data engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for professional data engineer in Missouri is $121,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $129,000.00 per year, depending on experience, location, and employer.

What engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $300,000 or more annually. High-paying roles often require certifications, leadership responsibilities, and working in competitive markets or large organizations.

Can I make 200K as a data engineer?

Data engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What is a professional data engineer?

A professional data engineer designs, builds, and maintains data pipelines and infrastructure to enable data collection, storage, and analysis. They often work with tools like SQL, Apache Spark, and cloud platforms, and require strong programming and data management skills to support data-driven decision-making.

What engineer makes $500,000 a year?

A Professional Data Engineer can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms like Google Cloud or AWS, and certifications. High salaries are often associated with senior roles, leadership positions, or working in large organizations with complex data infrastructure.

What is the difference between Professional Data Engineer vs Data Scientist?

AspectProfessional Data EngineerData Scientist
Required CredentialsCertifications like Google Cloud Professional Data Engineer, relevant degrees in computer science or data engineeringDegrees in statistics, data science, or related fields; certifications like Certified Data Scientist
Work EnvironmentDesigning data pipelines, managing data infrastructure, ensuring data qualityAnalyzing data, building models, deriving insights from data
Employer & Industry UsageTech companies, data-driven organizations focusing on data infrastructureResearch institutions, analytics firms, companies focusing on predictive modeling

The Professional Data Engineer primarily focuses on building and maintaining data infrastructure, ensuring data flows efficiently within organizations. In contrast, Data Scientists analyze data to extract insights and develop predictive models. Both roles often collaborate but serve different functions within data teams.

What are the most commonly searched types of Data Engineer jobs in Missouri? The most popular types of Data Engineer jobs in Missouri are:
What cities in Missouri are hiring for Professional Data Engineer jobs? Cities in Missouri with the most Professional Data Engineer job openings:
Professional Data Engineer jobs near you

Senior Geospatial Data Engineer

Object Computing, Inc.

Saint Louis, MO

$103K - $140K/yr

Full-time

Re-posted 16 days ago

Job description

Object Computing, Inc. is seeking a Senior Geospatial Data Engineer to join our Xtrack Product Team. In this role, you will lead the design and implementation of scalable, cloud-based geospatial data infrastructures, and play a key part in shaping our data architecture and product engineering strategy with a focus on improving safety and operational efficiencies for organizations in the rail industry. You will work with cutting-edge technologies in image processing, artificial intelligence, cloud computing, and geospatial database management. Your work will optimize complex business processes and unlock new value from large-scale geospatial datasets.
What you will do:
  • Architect, design, and maintain robust, scalable data pipelines and infrastructures for geospatial and big data applications maintaining a focus on performance and the ultimate end-user product experience.
  • Lead the development and optimization of ETL processes for ingesting, cleaning, transforming, and storing large volumes of geospatial and tabular data.
  • Design, build, and interact with API-driven, service-to-service web services (using FastAPI, Litestar, Flask, etc.) to enable integration across a suite of products.
  • Collaborate with backend and platform engineers to ensure secure, reliable, and scalable service-to-service communication.
  • Translate complex analytics and business questions into actionable, production-grade data solutions.
  • Collaborate closely with data scientists, analysts, and business stakeholders to deliver high-impact data products.
  • Drive the adoption and optimization of cloud-based data solutions (e.g., GCP, AWS, Azure).
  • Ensure data quality, integrity, and security across all stages of the data lifecycle.
  • Mentor and provide technical guidance to junior data engineers and team members.
  • Communicate technical details and insights clearly to both technical and non-technical audiences, including leadership.
  • Proactively recommend and implement improvements to existing data infrastructure and software programs.
  • Stay current with industry trends and emerging technologies in geospatial data engineering.
What you will bring:
  • An excitement and dedication towards manifesting real and measurable impact for customers and clients and a dedication to being a team player towards achievement of those outcomes.
  • Experience in software development, data engineering, or big data roles, preferably with a focus on geospatial data.
  • Experience building solutions with Python.
  • Experience with relational databases (e.g., SQL), including advanced query building, data extraction, and manipulation.
  • Experience architecting and optimizing cloud-based data solutions (preferably GCP, AWS, or Azure).
  • Deep experience with big data technologies such as Hadoop, Spark, MapReduce, or Kafka.
  • Experience integrating with API-driven, service-to-service web services.
  • Demonstrated ability to lead projects, mentor team members, and drive technical decisions.
  • Strong problem-solving skills, resourcefulness, and ability to work independently or collaboratively.
  • Excellent organizational, interpersonal, and communication skills.
What will make you stand out:
  • Expertise with geospatial libraries and tools (e.g., GDAL, PDAL, PostGIS, GeoPandas, Shapely).
  • Experience deploying and scaling machine learning (ML) models/algorithms in production.
  • Strong experience with geospatial analytics and working with geospatial data formats (e.g., LAS, LAZ, COPC, GeoTIFF, Shapefiles).
  • Experience leading teams in integrating and scaling complex ML/Deep Learning (DL) algorithms.
  • Experience working with LiDAR data and deriving real-world insights from point clouds.
  • Experience with ESRI products (ArcGIS Pro, ArcGIS Online, ArcGIS Enterprise) or other GIS platforms.
  • Experience with data streaming, real-time data processing, or cloud-native geospatial solutions.
  • Cloud certifications (e.g., Google Cloud Professional Data Engineer, AWS Certified Data Analytics).
  • Experience with OAuth, authentication, and API key management for secure service-to-service communication.
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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