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Associate Data Engineer Jobs in St Louis, MO (NOW HIRING)

Build-A-Bear Workshop

Data Engineer

Saint Louis, MO · On-site

$110K - $133K/yr

Azure Data Engineer Associate or similar certification Behavioral Traits for Success: * Enjoys being recognized for the quality of their work * Willingness to work within established standards ...

Pwc

Data Engineer - Manager

Saint Louis, MO · On-site

... Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business ...

Pwc

Data Engineer - Senior Manager

Saint Louis, MO · On-site

$124K - $280K/yr

... Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data ...

Zelis

Sr. Data Engineer, Payment Operations

Saint Louis, MO · On-site

$103K - $140K/yr

Every associate is expected - and empowered - to partner with AI to challenge the status quo ... Position Overview The Senior Data Engineer leads the engineering workstreams that underpin the ...

Pwc

Data Strategy-Manager

Saint Louis, MO · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

Pwc

Data Governance- Manager

Saint Louis, MO · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Pwc

GenAI Python Systems Engineer-Manager

Saint Louis, MO · On-site

$99K - $232K/yr

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Pwc

Data Strategy & Governance -Director

Saint Louis, MO

$155K - $410K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating ...

Deloitte

Lead Forward Deployed Engineer - AWS

Saint Louis, MO · On-site

$99K - $131K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

Deloitte

Senior Forward Deployed Engineer- AWS

Saint Louis, MO · On-site

$101K - $139K/yr

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

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All JobsAssociate Data Engineer JobsAssociate Data Engineer Jobs in St. Louis, MO

Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for associate data engineer in St. Louis, MO is $18.22, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $19.38 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

What is the difference between Associate Data Engineer vs Data Engineer?

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

What are the most commonly searched types of Data Engineer jobs in St. Louis, MO?

The most popular types of Data Engineer jobs in St. Louis, MO are:

What are popular job titles related to Associate Data Engineer jobs in St. Louis, MO?

For Associate Data Engineer jobs in St. Louis, MO, the most frequently searched job titles are:

What job categories do people searching Associate Data Engineer jobs in St. Louis, MO look for?

The top searched job categories for Associate Data Engineer jobs in St. Louis, MO are:

What cities near St. Louis, MO are hiring for Associate Data Engineer jobs?

Cities near St. Louis, MO with the most Associate Data Engineer job openings:

Associate Data Engineer jobs near you
Infographic showing various Associate Data Engineer job openings in St. Louis, MO as of June 2026, with employment types broken down into 1% As Needed, 97% Full Time, 1% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $37,892 per year, or $18.2 per hour.

Data Engineer

Build-A-Bear Retail Management, Inc.

Saint Louis, MO

$110K - $133K/yr

Full-time

Re-posted 12 days ago

Job description

The Data Engineer helps design, build, and maintain pipelines and platforms that power our data-driven decisions across the enterprise. This role will work across cloud platforms, digital systems, and analytics tools to ensure our data is reliable, scalable, and ready for everything from business reporting to advanced AI applications.

At Build-A-Bear, our data fuels creativity, efficiency, and innovation, connecting millions of guests to memorable experiences. The Data Engineer will help build the foundation that powers these experiences.

Responsibilities:

  • Design, build, and maintain scalable data pipelines and integrations across multiple enterprise systems.
  • Develop and maintain data models, ETL/ELT workflows, and orchestration logic within cloud data environments.
  • Collaborate to define data requirements and ensure alignment between business needs and technical solutions.
  • Implement data quality validation, monitoring, and governance processes.
  • Optimize performance and efficiency of existing data processes, enabling faster insights and reduced latency.
  • Partner with IT Security and Privacy teams to enforce data access controls and compliance standards.
  • Support development of reusable frameworks for data ingestion, transformation, and storage.
  • Document technical designs, data dictionaries, and workflows for transparency and maintainability.
  • Stay current on data engineering best practices, tools, and emerging trends in analytics, AI, and automation.

Required Qualifications:

  • 5+ years of experience in data engineering, data warehousing, or analytics platform development
  • Bachelor’s degree in computer science, information systems, data engineering, or related field
  • Skilled in SQL and familiarity with Python, Spark, or other scripting languages for data manipulation
  • Expert with cloud-based data ecosystems, ideally Microsoft Azure (Data Factory, Synapse, Databricks, or Data Lake)
  • Skilled understanding of ETL/ELT design patterns, data modeling, and schema optimization
  • Proficient knowledge of API integrations and real-time data streaming
  • Basic knowledge of BI tools such as Power PI, Tableau, or Looker
  • Excellent communication and critical thinking skills, with the ability to translate technical concepts for business partners

Preferred Qualifications:

  • Experience with Microsoft Dynamics 365, Salesforce, or similar enterprise data sources
  • Understanding of data governance, lineage, and master data management frameworks
  • Exposure to DevOps principles, CI/CD pipelines, and version control
  • Familiarity with Agile or Scrum methodologies
  • Microsoft Certified: Azure Data Engineer Associate or similar certification

Behavioral Traits for Success:

  • Enjoys being recognized for the quality of their work
  • Willingness to work within established standards, guidelines, and procedures
  • Develops strong job knowledge and competency
  • Strong commitment to tasks being completed correctly and on time
  • Thrives in a structured environment
  • Happy accomplishing work as an individual
  • Can work harmoniously with others
  • Communication is factual, polite, and professional

Working Environment:

  • Typical office environment with climate control and sufficient lighting, ergonomic desk/chairs
  • Hybrid work schedule

Your Performance Will Be Measured On:

Your performance will be measured by your ability to achieve annual department objectives and corporate goals which include but are not limited to the following.

  • Decision-making, judgment, and execution
  • System reliability
  • Data throughput and performance metrics
  • Reduction of data defects
  • Accuracy and efficiency
  • Compliance adherence
  • Data integrity
  • Audit readiness
  • Stakeholder Feedback

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