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Temporary Databricks Data Engineer Jobs in Missouri

D&G Support Services, LLC

Data Engineer

Saint Louis, MO · On-site

$125K - $150K/yr

  • Retirement

  • PTO

Data Engineer On Site | Scott AFB, IL | Secret Clearance Required If you enjoy building modern data ... What You Will Do • Develop and maintain data pipelines that ingest data into Databricks and ...

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 ... Expert with cloud-based data ecosystems, ideally Microsoft Azure (Data Factory, Synapse, Databricks ...

Jobtailor

Lead Data Engineer - Governance

California, MO · On-site

$140 - $190/hr

Collaborate with Data Engineering teams to implement governance in federated querying, GraphQL ... Hands‑on experience implementing governance for cloud data platforms (Snowflake, Databricks ...

New

Cushman & Wakefield

Principal Engineer

Creve Coeur, MO · On-site

$157.25 - $185/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The primary platform is Databricks and the Azure cloud ecosystem, with the expectation of evaluating and adopting additional data technologies as the platform evolves. Technical Data Engineering ...

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All JobsDatabricks Data Engineer JobsTemporary Databricks Data Engineer JobsTemporary Databricks Data Engineer Jobs in Missouri

Temporary Databricks Data Engineer information

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

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

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

Temporary Databricks Data Engineer jobs near you

Data Engineer

Build-A-Bear Retail Management, Inc.

Saint Louis, MO • On-site

$110K - $133K/yr

Full-time

Re-posted 3 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

Apply