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Data Engineer Data Analyst Jobs in Missouri (NOW HIRING)

Data Engineer

Saint Louis, MO ยท On-site

$111K - $133K/yr

Work closely with data analysts, cloud engineers, and application developers * Integrate data solutions with other components of the migrated applications * Participate in Agile ceremonies (Sprint ...

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 ...

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 ...

Data Engineer Manager

Saint Louis, MO ยท On-site +1

$111K - $133K/yr

This team will work closely with technology leaders, the Data & Analytics business team and ... The Cloud Data Engineering team within Data Engineering will oversee the analysis, development ...

$109K - $130K/yr

Cleanse/transform data in preparation for all levels of analytical use * Leverage many technologies and methodologies as required--includes scripting and programming languages * Assist in the ...

Data Analyst Healthcare (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a detail-oriented Data Analyst Healthcare (2-3 years experience) to support healthcare ...

Data Engineer

Saint Charles, MO ยท On-site

$107K - $129K/yr

N/A Job Summary The data engineer is responsible for the design and build of systems for collecting, storing, and analyzing data at scale from disparate sources. This position collaborates with ...

Data Analyst

Saint Louis, MO ยท On-site +1

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative team of talented professionals. You are not afraid to make impact where your opinion matters in a ...

Showing results 21-40

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

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

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

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

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

What cities in Missouri are hiring for Data Engineer Data Analyst jobs?

Cities in Missouri with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Missouri as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

Data Engineer

IQUASAR LLC

Saint Louis, MO โ€ข On-site

$111K - $133K/yr

Full-time

Re-posted 8 days ago


Job description

iQuasar is seeking to fill a Data Engineer in St. Louis, MO.

  • Position: Data Engineer
  • Location: St. Louis, MO ( Onsite Mon-Fri) - Travel expenses will be paid
  • Clearance: Secret

Role Overview:
The Data Engineer plays a crucial role in the application migration team by designing, developing, and maintaining robust data solutions throughout the migration process. This position is responsible for creating efficient data pipelines, ensuring data quality, and implementing ETL (Extract, Transform, Load) processes to facilitate the seamless migration and deployment of data across systems. The Data Engineer works within the Agile frameworks to support the team's data-driven approach to application migration, collaborating closely with other team members to ensure data integrity and accessibility throughout the transition to cloud environments.
Key Responsibilities:


  •    Design and develop scalable, efficient data architectures to support the migration process
  •    Create data models and schemas that align with both source and target systems
  •    Develop and maintain robust data pipelines for data generation, collection, and processing
  •    Implement real-time and batch processing pipelines as required by the migration strategy
  •   Design and implement ETL processes to migrate data between source and target systems
  •    Develop scripts and workflows for data extraction, transformation, and loading
  •    Develop and maintain data cleansing routines to address data inconsistencies
  •    Create monitoring systems to track data quality metrics throughout the migration
  •    Collaborate with the migration team to plan and execute data migration strategies
  •    Provide expertise on data-related aspects of the migration process
  •    Troubleshoot and resolve data-related issues during migration
  •    Optimize data processing and storage for improved performance in cloud environments
  •    Monitor and tune data pipelines for efficiency
  •    Implement data security measures to protect sensitive information during migration
  •    Ensure compliance with data protection regulations and organizational policies
  •    Develop and maintain data access controls and audit trails
  •    Create and maintain comprehensive documentation for data architectures and processes
  •    Work closely with data analysts, cloud engineers, and application developers
  •    Integrate data solutions with other components of the migrated applications
  •    Participate in Agile ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives)

Requirements:
  • Bachelor's degree
  • Years of Experience: 5-8
Project-specific requirements:

  • Active Secret clearance
  • No dual citizenship
  • Based in St. Louis; relocation or weekly M-F travel to St. Louis
  • Aerospace & Defense or U.S. Federal manufacturing/MRO project experience
If you are interested in this position, please send me a copy of your latest resume at fadak.makhdoomi@iquasar.com with the information requested below: Also, please let me know what time/number is best to call to discuss this great opportunity. In case you are not interested in this position or this is not a right fit for you, please feel free to share this opportunity with your friends/networks or anyone you know who may be interested in this position. Thank you! 
  • Availability to start a new job
  • Best Rates
  • Contact #
Please don’t hesitate to contact me with any question(s) you may have. All employment is decided on the basis of qualifications, merit, and business need.
Best Regards,
Fadak Makhdoomi
Recruitment Specialist
iQuasar, LLC
Cleared Recruitment | Proposal Development | Technology
fadak.makhdoomi@iquasar.com
Direct: (703) 552-8162
Main: (703) 962-6001 Ext. 591
www.iQuasar.com
An Equal Opportunity Employer

iQuasar LLC is proud to be an Equal Employment Opportunity Employer. We do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental /veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, other non-merit factors, or any other applicable characteristics protected by law.